50+ Startup Jobs in Bangalore (Bengaluru) | Startup Job openings in Bangalore (Bengaluru)

1. Quality Control & Inspection

• Monitor incoming raw materials (yarn, fabric, accessories) for defects and compliance.
• Conduct in-process inspections during knitting, stitching, and finishing stages.
• Perform final inspection of bags (dimensions, strength, appearance, stitching quality).
• Use tools like AQL (Acceptable Quality Level) for sampling and inspection.

2. Process Monitoring & Improvement

• Analyze production processes to identify quality issues or inefficiencies.
• Implement corrective and preventive actions (CAPA).
• Work on reducing defects, rework, and waste.
• Apply methodologies like Six Sigma or Lean Manufacturing.

3. Testing & Compliance

• Ensure bags meet strength, durability, and load-bearing requirements.
• Conduct tests like tensile strength, seam strength, color fastness, etc.
• Ensure compliance with customer specifications and industry standards.

4. Documentation & Reporting

• Maintain quality reports, inspection records, and test results.
• Track defect trends and prepare reports for management.
• Develop and update standard operating procedures (SOPs).

5. Supplier Quality Management

• Evaluate and audit suppliers of yarn, fabrics, and accessories.
• Ensure incoming materials meet quality standards.
• Coordinate with suppliers for quality improvements.

6. Customer & Audit Handling

• Address customer complaints and implement corrective actions.
• Participate in internal and external audits.
• Ensure compliance with certifications like ISO 9001.

7. Cross-Functional Coordination

• Work closely with production, design, and procurement teams.
• Train workers on quality standards and inspection techniques.
• Ensure quality awareness across the factory floor.

Key Skills Required

• Knowledge of textile/knitting processes
• Problem-solving and analytical skills
• Familiarity with quality tools (Pareto charts, root cause analysis)
• Attention to detail
• Good communication and reporting skills

We are looking for a skilled Full Stack Developer with strong proficiency in TypeScript and JSonata to design, develop, and maintain scalable web applications. The ideal candidate should be comfortable working across both frontend and backend layers, with a focus on clean architecture, performance, and maintainability. Exposure to EDI or logistics domain will be an added advantage.

Key Responsibilities

• Develop and maintain end-to-end web applications using TypeScript
• Build and manage backend services using JSonata
• Design and implement RESTful APIs and integrate third-party services
• Work on frontend frameworks (as applicable) to deliver responsive UI/UX
• Collaborate with cross-functional teams including product, QA, and DevOps
• Ensure code quality through best practices, testing, and code reviews
• Optimize applications for performance, scalability, and security
• Participate in system design and architectural decisions

Required Skills

• Strong proficiency in TypeScript and modern JavaScript (ES6+)
• Hands-on experience with JSonata
• Solid understanding of full stack development principles
• Experience with REST APIs, microservices architecture
• Familiarity with databases (SQL/NoSQL)
• Version control using Git
• Good understanding of debugging and performance optimization

Good to Have

• Exposure to EDI (Electronic Data Interchange) systems
• Experience in Logistics / Supply Chain domain
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience with containerization (Docker, Kubernetes)
• Knowledge of CI/CD pipelines

Job Title: QA Tester – FinTech (Manual + Automation Testing)

Location: Bangalore, India

Job Type: Full-Time

Experience Required: 3 Years

Industry: FinTech / Financial Services

Function: Quality Assurance / Software Testing

About the Role:

We are looking for a skilled QA Tester with 3 years of experience in both manual and automation testing, ideally in the FinTech domain. The candidate will work closely with development and product teams to ensure that our financial applications meet the highest standards of quality, performance, and security.

Key Responsibilities:

• Analyze business and functional requirements for financial products and translate them into test scenarios.
• Design, write, and execute manual test cases for new features, enhancements, and bug fixes.
• Develop and maintain automated test scripts using tools such as Selenium, TestNG, or similar frameworks.
• Conduct API testing using Postman, Rest Assured, or similar tools.
• Perform functional, regression, integration, and system testing across web and mobile platforms.
• Work in an Agile/Scrum environment and actively participate in sprint planning, stand-ups, and retrospectives.
• Log and track defects using JIRA or a similar defect management tool.
• Collaborate with developers, BAs, and DevOps teams to improve quality across the SDLC.
• Ensure test coverage for critical fintech workflows like transactions, KYC, lending, payments, and compliance.
• Assist in setting up CI/CD pipelines for automated test execution using tools like Jenkins, GitLab CI, etc.

Required Skills and Experience:

• 3+ years of hands-on experience in manual and automation testing.
• Solid understanding of QA methodologies, STLC, and SDLC.
• Experience in testing FinTech applications such as digital wallets, online banking, investment platforms, etc.
• Strong experience with Selenium WebDriver, TestNG, Postman, and JIRA.
• Knowledge of API testing, including RESTful services.
• Familiarity with SQL to validate data in databases.
• Understanding of CI/CD processes and basic scripting for automation integration.
• Good problem-solving skills and attention to detail.
• Excellent communication and documentation skills.

Preferred Qualifications:

• Exposure to financial compliance and regulatory testing (e.g., PCI DSS, AML/KYC).
• Experience with mobile app testing (iOS/Android).
• Working knowledge of test management tools like TestRail, Zephyr, or Xray.

We are looking for a dynamic, target-driven Admissions & Sales Specialist to join our Admissions Team. This role is perfect for someone who enjoys speaking with people, understanding their learning needs, and helping them choose the right music course. If you have a flair for sales, love music, and thrive in a fast-paced environment — we want to hear from you!

Location: Onsite – Bangalore

Work Schedule: Selected candidates would need to be flexible with timings

Experience Required: 1-2 Years

Industry: Education / Music / E-learning

Engagement: 

Option 1 - Full-time. As per office timings

Option 2 - weekends - as a part time employee with compensation in commissions

Skills/Qualifications:

• Excellent verbal and written communication skills in English
• Strong interpersonal skills with a proactive approach to learning
• Highly motivated and persistent in converting leads into enrollments
• Adept at understanding and addressing client needs with a customer-centric approach
• Proficient in Word, Excel, and similar spreadsheet tools; quick to adapt to new software
• Ability to work effectively both independently and as part of a team

Requirements:

• Bachelor’s degree in any field (Education, Marketing, or Communications preferred).
• Prior experience in admissions, sales, counselling, or customer service.
• Strong interpersonal and communication skills (verbal and written).
• Passion for music and education is a plus.
• Ability to multitask and work in a fast-paced environment.
• Proficiency in Google Workspace and CRM software.

Responsibilities:

• Handle inbound and outbound calls, addressing inquiries from prospective students interested in Shankar Mahadevan Academy’s online courses.
• Conduct 80-100 calls per day, engaging potential students with professionalism and enthusiasm.
• Effectively communicate course offerings, guiding students toward the best program based on their interests and goals.
• Follow up promptly via phone, chat, and email to nurture leads and ensure a seamless enrollment experience.
• Maintain accurate records of admissions and provide regular updates to the Admissions Manager.
• Consistently meet and strive to exceed monthly enrollment targets.

Why Join Us?

• Be part of a globally recognized music academy.
• Work in a creative and inspiring environment.
• Opportunities for career growth and professional development.
• Competitive salary and performance-based incentives - you convert more, you make more

We are seeking a skilled Data Engineer to join the AI Platform Capabilities team supporting the UDP Uplift program.

In this role, you will design, build, and test standardized data and AI platform capabilities across a multi-cloud environment (Azure & GCP).

You will collaborate closely with AI use case teams to develop:

• Scalable data pipelines
• Reusable data products
• Foundational data infrastructure

Your work will support advanced AI solutions such as:

• GenAI
• RAG (Retrieval-Augmented Generation)
• Document Intelligence

Key Responsibilities

• Design and develop scalable ETL/ELT pipelines for AI workloads
• Build and optimize data pipelines for structured & unstructured data
• Enable context processing & vector store integrations
• Support streaming data workflows and batch processing
• Ensure adherence to enterprise data models, governance, and security standards
• Collaborate with DataOps, MLOps, Security, and business teams (LBUs)
• Contribute to data lifecycle management for AI platforms

Required Skills

• 5–7 years of hands-on experience in Data Engineering
• Strong expertise in Python and advanced SQL
• Experience with GCP and/or Azure cloud-native data services
• Hands-on experience with PySpark / Spark SQL
• Experience building data pipelines for ML/AI workloads
• Understanding of CI/CD, Git, and Agile methodologies
• Knowledge of data quality, governance, and security practices
• Strong collaboration and stakeholder management skills

Nice-to-Have Skills

• Experience with Vector Databases / Vector Stores (for RAG pipelines)
• Familiarity with MLOps / GenAIOps concepts (feature stores, model registries, prompt management)
• Exposure to Knowledge Graphs / Context Stores / Document Intelligence workflows
• Experience with DBT (Data Build Tool)
• Knowledge of Infrastructure-as-Code (Terraform)
• Experience in multi-cloud deployments (Azure + GCP)
• Familiarity with event-driven systems (Kafka, Pub/Sub) & API integrations

Ideal Candidate Profile

• Strong data engineering foundation with AI/ML exposure
• Experience working in multi-cloud environments
• Ability to build production-grade, scalable data systems
• Comfortable working in cross-functional, fast-paced environments

We are looking for a QA Engineer with hands-on experience in testing Generative AI systems, LLMs, and RAG pipelines. This role goes beyond traditional QA and focuses on evaluating non-deterministic AI outputs, testing agentic workflows, and ensuring AI safety, accuracy, and reliability in enterprise-grade AI services.

You will work on API-driven AI services such as Intelligent Document Processing and AI Gateways, ensuring they meet enterprise standards before deployment.

Key Responsibilities

• Test and validate Generative AI applications, LLMs, and RAG-based systems
• Evaluate AI outputs for accuracy, groundedness, coherence, and hallucination
• Design and execute test strategies for multi-step agentic workflows
• Perform API and integration testing for AI services
• Build automated test pipelines using Python
• Create synthetic datasets for testing AI systems
• Conduct adversarial testing (prompt injection, safety, guardrails)
• Integrate AI testing into CI/CD pipelines

Must-Have Skills

• 5–7 years of experience in QA / Test Automation
• Hands-on experience testing Generative AI / LLM-based applications
• Strong programming skills in Python
• Experience with RAG pipelines
• Knowledge of LLM evaluation frameworks (RAGAS, TruLens, LangSmith or similar)
• Strong experience in API testing (Postman, REST Assured, etc.)
• Experience testing multi-agent workflows / agentic systems
• Understanding of hallucination, prompt injection, and AI safety concepts

Good-to-Have Skills

• Experience with GCP (Vertex AI) or Azure OpenAI
• SQL / NoSQL knowledge for data validation
• Experience in BFSI / Insurance domain
• Performance testing of APIs and AI systems

Additional Information

• Candidates without hands-on experience in testing Generative AI / LLM systems will not be considered
• Immediate to 45 days notice period preferred 

Location: Bangalore

Experience: 5–10 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most sales teams optimize for activity.

We optimize for outcomes and revenue density.

We are not selling a tool.

We are selling a new way enterprises operate with AI.

This role exists to:

• Win high-value enterprise accounts
• Convert POCs into long-term revenue
• Build accounts that scale from ₹2 Cr → ₹8 Cr ARR

What you’ll do

You will not just manage deals.

You will own revenue creation end-to-end.

1. Close net-new enterprise revenue

• Generate ₹30–50L MRR in net-new bookings by Series A close
• Focus on high-value accounts, not volume deals
• Drive deals from:
• First conversation → signed contract

2. Win Tier-1 insurance accounts

• Target and close at least one of:
• SBI Life Insurance, HDFC Life, ICICI Prudential Life Insurance
• or leading general insurers like
• New India Assurance, Bajaj Allianz General Insurance
• Build relationships with:
• CXOs
• Business heads
• Transformation leaders

3. Run high-conviction POC-driven sales

• Focus on winning strong POCs, not just pilots
• Ensure POCs:
• Are tightly scoped
• Deliver measurable outcomes
• Lead directly to expansion
• Drive clarity on:
• ROI
• Success criteria
• Conversion to long-term contracts

4. Build and expand enterprise accounts

• Create a roadmap to scale accounts from:
• 0 -> ₹2 Cr → ₹8 Cr ARR
• Identify:
• New use cases
• Cross-functional expansion opportunities
• Own:
• Renewals
• Upsell
• Expansion strategy

5. Open new verticals

• Identify and penetrate new industry segments
• Build initial proof points and reference customers
• Work with product and GTM teams to:
• Shape positioning
• Refine messaging

6. Own the full deal cycle

• Drive:
• Discovery
• Solution alignment
• Commercial negotiation
• Closure
• Work closely with:
• Solutions Engineering
• Product
• Leadership

What success looks like

• ₹30–50L MRR closed in new business
• At least one Tier-1 insurer closed
• POCs consistently convert into long-term deals
• Accounts scale into multi-crore ARR relationships
• New verticals show early traction

Who you are

• You have 5–10 years of enterprise sales experience
• You have closed:
• High-value, complex deals
• You are comfortable selling to:
• CXOs
• Senior stakeholders
• You think in:
• Revenue
• Deal strategy
• Long-term account value

What will make you stand out

• Experience selling into:
• BFSI / Insurance
• Track record of:
• Closing large enterprise deals
• Expanding accounts post-sale
• Strong ability to:
• Handle objections
• Navigate complex buying cycles
• Ability to work in:
• High-ambiguity, high-ownership environments

Compensation

₹2,00,000/month (fixed)

(Performance-driven upside aligned with revenue impact)

Why join

• You will work on high-value enterprise deals
• Your work directly impacts:
• Revenue
• Market positioning
• Category creation
• You will build relationships that define long-term growth

What this role is not

• Not a pipeline manager
• Not focused on low-value deals
• Not dependent on heavy support to close

What this role is

• A revenue owner
• A strategic deal closer
• A builder of enterprise relationships

One question to self-evaluate

Can you win a Tier-1 enterprise account, prove value through a POC, and scale it into a multi-crore relationship?

Location: Bangalore

Experience: 2–3 years

Type: Full-time | On-site

Open Roles: 1

Start: Immediate

Why this role exists

Most teams treat QA as the last step.

That’s why bugs reach production.

We are building AI agents where failures are:

• Visible to customers
• Hard to debug
• Expensive to fix

This role exists to ensure:

• Bugs are caught before production
• Releases are safe and predictable
• Teams can ship fast without fear

What you’ll do

You will not just test features.

You will build the system that guarantees quality.

1. Build an automated regression system

• Create a test suite that catches 90%+ of conversation quality issues before release
• Cover:
• Conversation flows
• Edge cases
• Multilingual behavior
• Ensure regression testing is:
• Fast
• Reliable
• Mandatory before deployment

2. Own conversation test harness

• Build a system to simulate:
• Real user conversations
• Edge cases
• Failure scenarios
• Enable teams to:
• Test workflows quickly
• Validate changes before release
• Make daily releases safe and repeatable

3. Reduce production incidents

• Bring P1 incidents down to <1 per account per month, even at 5x scale
• Identify:
• Root causes
• Recurring failure patterns
• Ensure issues are fixed permanently, not patched temporarily

4. Define quality standards

• Establish clear definitions of:
• What is a bug
• What is acceptable quality
• Create:
• QA benchmarks
• Release gates
• Ensure quality is measurable, not subjective

5. Enable fast and safe releases

• Work closely with:
• Engineering
• Product
• Conversation design
• Ensure:
• Testing does not slow down shipping
• Shipping does not compromise quality

6. Move toward zero-bug production mindset

• Build systems where:
• Bugs are rare
• Failures are predictable
• Drive a culture where:
• Quality is owned by everyone
• QA enables, not blocks

What success looks like

• ≥ 90% of bugs caught before production
• P1 incidents drop to <1 per account per month
• Teams can ship daily without fear
• Conversation quality remains consistent at scale
• Production issues become rare and predictable

Who you are

• You have 2-3 years of experience in QA / testing / automation
• You have built:
• Automated test systems
• Regression suites
• You think in:
• Systems
• Failure modes
• You care about:
• Quality
• Reliability
• Real-world performance

What will make you stand out

• Experience testing:
• Conversational systems
• AI / chatbot / voice systems
• Strong understanding of:
• Automation frameworks
• API testing
• End-to-end testing
• Ability to:
• Design test strategies, not just execute them

Why join

• You will define quality standards for an AI platform
• Your work directly impacts:
• Customer experience
• Reliability
• Product trust
• You will move the system from:
• Reactive QA → predictive quality systems

What this role is not

• Not manual testing only
• Not a release blocker
• Not reactive bug reporting

What this role is

• A builder of quality systems
• A guardian of production reliability
• A multiplier of engineering confidence

One question to self-evaluate

Can you build a testing system where bugs are caught before users ever see them?

Job Summary:

We are looking for a dynamic and result-oriented Digital Consultant who will be responsible for connecting with local merchants and helping them grow their business digitally. The role involves understanding the merchant’s current offline business operations and guiding them on how to expand their presence online through our digital solutions and subscription plans.

Key Responsibilities:

Connect with local merchants and business owners to understand their business requirements.

Educate merchants on the benefits of taking their business online and building a digital presence.

Promote and sell subscription-based digital solutions that help merchants start and grow their business online.

Build and maintain strong relationships with merchants to ensure long-term engagement.

Achieve monthly sales and onboarding targets.

Provide basic guidance to merchants on how to use the platform and manage their online business.

Coordinate with internal teams to ensure smooth onboarding and service delivery.

Required Skills:

Good communication and interpersonal skills.

Strong sales and negotiation abilities.

Ability to understand business needs and provide suitable digital solutions.

Comfortable meeting and interacting with local merchants.

Basic understanding of digital platforms and online business tools.

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Open Roles: 1

Start: Immediate

Why this role exists

Most engineering teams choose between speed and stability.

We need both.

Today:

• Deployments carry risk
• Cloud costs are higher than they should be
• Compliance is reactive, not built-in

This role exists to build a platform where:

• We can deploy fast without breaking production
• We can scale without runaway cost
• We can pass enterprise InfoSec reviews without firefighting

What you’ll do

You will not just manage infrastructure.

You will build the platform that engineering runs on.

1. Drive cloud cost efficiency

• Reduce Azure compute spend by 40%
• Implement:
• Reserved Instances / savings plans
• Right-sizing of workloads
• Scheduling for non-critical workloads
• Continuously monitor and optimize cost vs performance

2. Build zero-downtime deployment systems

• Ship a deployment pipeline that supports:
• 5+ production deployments per week
• Zero customer-visible downtime
• Implement:
• Blue-green / canary deployments
• Automated health checks
• Safe rollout strategies

3. Enable fast and safe releases

• Reduce time-to-launch significantly
• Ensure:
• High reliability in every release
• Ability to rollback instantly if something breaks
• Create systems where:
• Scaling up is seamless when things go right
• Failures are contained when they don’t

4. Build disaster recovery and compliance readiness

• Create DR/BCP systems that pass enterprise audits from:
• HDFC Life, SBI Life
• Ensure:
• Backup and recovery processes are defined and tested
• Failover strategies are documented and executable
• Build compliance as part of the system, not an afterthought

5. Embed security into the pipeline

• Integrate:
• SAST (Static Application Security Testing)
• DAST (Dynamic Application Security Testing)
• SCA (Software Composition Analysis)
• Secret scanning
• Container scanning
• IaC scanning
• Ensure vulnerabilities are caught before deployment

6. Enforce policy-as-code

• Implement:
• OPA / Gatekeeper
• Azure Policy
• Prevent non-compliant infrastructure from being deployed
• Ensure consistency across environments

7. Build a scalable platform layer

• Create systems that:
• Support increasing deployment frequency
• Maintain reliability under scale
• Work closely with backend and SRE teams to:
• Improve system stability
• Reduce operational overhead

What success looks like

• Cloud costs reduce by ≥ 40%
• Deployments are:
• Frequent
• Safe
• Invisible to customers
• Rollbacks are instant and reliable
• DR/BCP passes enterprise audits in the first attempt
• Security is embedded in the pipeline, not patched later
• Engineering teams ship faster with confidence

Who you are

• You have 2-5 years of experience in DevOps / Platform Engineering
• You have worked with:
• Cloud platforms (Azure preferred)
• CI/CD systems
• Infrastructure as Code
• You think in:
• Systems
• Trade-offs (speed vs reliability vs cost)
• You are comfortable owning:
• Production infrastructure
• Deployment systems

What will make you stand out

• Experience with:
• High-frequency deployment systems
• Cost optimization at scale
• Security-first pipelines
• Strong understanding of:
• Kubernetes / container orchestration
• Monitoring and observability
• Distributed system reliability
• Experience passing enterprise security/compliance audits

Why join

• You will define how engineering ships and scales
• Your work directly impacts:
• Reliability
• Cost
• Deployment velocity
• You will build a platform that moves from:
• Fragile → predictable and scalable

What this role is not

• Not manual infra management
• Not reactive firefighting
• Not limited to CI/CD maintenance

What this role is

• A builder of deployment systems
• A driver of cost efficiency
• A guardian of reliability and compliance

One question to self-evaluate

Can you build a platform where we deploy faster, spend less, and never break production?

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Open Roles: 2

Start: Immediate

Why this role exists

Most systems work at a low scale.

Very few survive real production load, complex workflows, and enterprise edge cases.

We are building a platform that must:

• Scale from 500K → 20M+ interactions/month
• Handle complex insurance workflows reliably
• Become easier to deploy as it grows, not harder

This role exists to build the backend foundation that makes this possible.

What you’ll do

You will not just write services.

You will design and own core platform systems.

1. Scale the platform without breaking architecture

• Scale from 50K → 2M+ interactions/month
• Ensure:
• High availability
• Low latency
• Fault tolerance
• Avoid large rewrites — build systems that evolve cleanly

2. Build the workflow automation (WA) engine

• Design a flexible system with:
• States
• Stages
• Cohorts
• Dynamic workflows
• Ensure workflows:
• Handle edge cases reliably
• Can be configured easily
• Move from:
• Hardcoded flows → configurable execution engine

3. Build the insurance-specific data layer

• Design data models for:
• Policy states
• Claim workflows
• Consent tracking
• Ensure the system works across:
• Multiple insurers
• Multiple use cases
• Build a platform-first data layer, not use-case-specific hacks

4. Make deployment and setup simple

• Ensure workflows and data models are:
• Easy to configure
• Easy to launch
• Reduce friction for:
• Product teams
• Deployment teams

5. Create a compounding data advantage

• Build a data layer that:
• Improves with every deployment
• Captures structured signals
• Ensure data becomes a long-term edge, not just storage

6. Own production reliability

• Participate in on-call rotation across 3 engineers
• Ensure:
• Incidents are handled quickly
• Root causes are fixed permanently
• Build systems where reliability is shared, not individual

What success looks like

• Platform scales to 2M+ interactions/month smoothly
• Workflow engine supports complex, dynamic use cases
• Data layer enables fast deployment across accounts
• Edge cases are handled without constant firefighting
• System becomes easier to use as it grows
• Production issues are rare and predictable

Who you are

• You have 2-5 years of backend engineering experience
• You have built:
• Scalable systems
• Distributed services
• You think in:
• Systems
• Data models
• Trade-offs
• You are comfortable owning:
• Architecture
• Production systems

What will make you stand out

• Experience building:
• Workflow engines
• State machines
• Data-heavy platforms
• Strong understanding of:
• System design
• Distributed systems
• Failure handling
• Experience working in:
• High-scale production environments

Why join

• You will build the core backend of an AI platform
• Your work directly impacts:
• Scale
• Reliability
• Product capability
• You will design systems that move from:
• Use-case specific → platform-level infrastructure

What this role is not

• Not just API development
• Not limited to feature-level work
• Not disconnected from production realities

What this role is

• A system architect
• A builder of scalable platforms
• A driver of long-term technical advantage

One question to self-evaluate

Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?

Location: Bangalore

Experience: Fresher-2 years

Type: Full-time | On-site

Open Roles: 2

Start: Immediate

Why this role exists

Most AI agents fail not because of models—

but because they sound wrong, behave inconsistently, and don’t handle real conversations.

This role exists to own the craft layer:

• Make agents sound natural, human, and trustworthy
• Make them reliable across real-world conversations
• Make them fast to deploy without endless iteration cycles

What you’ll do

You will not just write prompts.

You will design conversational systems that perform in production.

1. Own conversational quality across deployments

• Achieve 80%+ quality scores on insurer QA audits
• Design conversations across:
• Hindi
• English
• 3+ regional languages
• Ensure agents sound:
• Natural
• Context-aware
• Consistent across interactions

2. Build a reusable prompt and workflow library

• Reduce new workflow launch time from 3 weeks → 5 days
• Create standardized:
• Prompt templates
• Conversation flows
• Objection handling patterns
• Ensure new deployments do not start from scratch

3. Design human-like conversational behavior

• Move agents from:
• Scripted → adaptive
• Robotic → human-like
• Focus on:
• Tone
• Pauses
• Context retention
• Personalization
• The output should feel like:
• “This sounds human”
• not
• “This sounds like a bot”

4. Improve agent performance continuously

• Analyze:
• Call transcripts
• Failure cases
• Drop-offs
• Iterate prompts and flows based on real usage data
• Ensure performance improves across:
• Conversion
• Resolution
• Customer experience

5. Reduce deployment friction

• Minimize back-and-forth during agent setup
• Create clarity in:
• Requirements
• Conversation logic
• Expected outcomes
• Enable faster, cleaner deployments with fewer iterations

6. Align conversations with business outcomes

• Design conversations that drive:
• Conversions
• Retention
• Resolution
• Ensure prompts are not just “good”—they are effective

What success looks like

• QA scores consistently ≥ 80% across languages
• New workflows go live in ≤ 5 days
• Agents sound natural and human-like
• Iteration cycles reduce significantly
• Conversation quality directly improves business outcomes

Who you are

• You have 0-2 years of experience in conversation design, content, or AI prompting
• You have worked on:
• Chatbots / voice bots / conversational systems
• You understand:
• Language nuances
• User psychology
• Real-world conversation flows
• You care about:
• Detail
• Quality
• Real user experience

What will make you stand out

• Experience working with:
• Multilingual conversational systems
• Strong writing and structuring ability
• Familiarity with:
• LLM prompting techniques
• Conversation analytics
• Ability to debug:
• Why a conversation failed, not just rewrite it

Compensation

Upto ₹50,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

• You will define how AI agents actually feel to customers
• Your work directly impacts:
• Customer experience
• Conversion rates
• Product perception
• You will build the craft layer of an AI platform

What this role is not

• Not generic content writing
• Not static script creation
• Not disconnected from real user interactions

What this role is

• A designer of conversational systems
• A builder of human-like AI experiences
• A driver of quality and performance in AI agents

One question to self-evaluate

Can you design conversations that consistently feel human, handle edge cases, and drive outcomes at scale?

Location: Bangalore

Experience: 3-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies are using LLMs.

Very few are building an advantage from them.

Right now, LLM cost is our largest margin constraint, and model behavior is still too generic to be defensible.

This role exists to:

• Turn LLM usage into a cost-efficient system
• Build compounding intelligence across accounts
• Create a differentiated analysis layer that competitors can’t replicate

What you’ll do

You will not just build models.

You will own the intelligence and cost structure of the platform.

1. Drive down LLM cost dramatically

• Reduce cost per interaction from ₹40 → ₹2 within 6 months
• Implement:
• Model tiering (right model for the right task)
• Caching strategies (semantic + response caching)
• Batching and async processing
• PTU / reserved capacity optimization
• Ensure performance does not degrade while reducing cost

2. Optimize infrastructure spend

• Reduce cloud spend from ₹20L/month → ₹4L/month
• Work across infrastructure layers (Azure / compute / inference)
• Balance:
• Latency
• Cost
• Throughput
• Treat infra as a first-class optimization problem

3. Build the fine-tuning and learning pipeline

• Design systems where:
• Every interaction improves future performance
• Build pipelines for:
• Fine-tuning
• Feedback loops
• Continuous model improvement
• Ensure the 5th customer deployment is structurally better than the 1st

4. Create a differentiated intelligence layer

• Build analysis systems that:
• Extract signals from interactions
• Improve decision-making
• Drive outcome improvements
• Move beyond responses → insight + action

5. Enable new AI-native product categories

• Identify opportunities where:
• AI enables workflows that were not previously possible
• Build foundational ML capabilities to unlock those categories
• Focus on creation, not just efficiency

6. Commoditize LLM usage internally

• Abstract complexity of LLM usage from product teams
• Build internal systems where:
• Cost is predictable
• Performance is consistent
• Make LLM usage a reliable utility layer

What success looks like

• Cost per interaction drops to ₹2 or lower
• Infrastructure spend reduces 5x without performance loss
• Model performance improves with every deployment
• Platform develops a clear intelligence advantage
• New AI-native capabilities become possible due to your systems

Who you are

• You have 3-5 years of experience in ML / applied AI / systems engineering
• You have worked with:
• LLMs
• Inference optimization
• Production ML systems
• You think in:
• Systems
• Trade-offs (cost vs latency vs quality)
• You care about real-world impact, not just model metrics

What will make you stand out

• Experience with:
• LLM optimization (prompting, fine-tuning, distillation)
• Distributed systems or infra-level optimizations
• High-scale inference systems
• Built systems that:
• Reduced cost significantly
• Improved performance over time
• Strong understanding of:
• Caching strategies
• Model routing
• Evaluation frameworks

Why join

• You will directly impact company margins and scalability
• Your work defines whether we have a defensible ML advantage
• You will build systems that move from:
• Generic AI usage → compounding intelligence

What this role is not

• Not research-only
• Not experimentation without production impact
• Not isolated from product and business outcomes

What this role is

• A builder of ML systems at scale
• A driver of cost and performance optimization
• A creator of long-term competitive advantage

One question to self-evaluate

Can you build ML systems that get cheaper, smarter, and more valuable with every interaction?

An Ecommerce Executive is responsible for managing and optimizing product listings across various online marketplaces. The role involves setting up new products, ensuring accurate and engaging content (titles, descriptions, images, pricing), and maintaining catalog quality.

They coordinate closely with the marketing team to align on campaigns, promotions, and digital assets, and work with the sales team to track performance, inventory, and pricing strategies. The role also includes monitoring listing performance, resolving issues, and ensuring products are visible, competitive, and up to date across all platforms.

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most systems don’t fail because of one big outage.

They fail because reliability is treated as an afterthought.

Right now, uptime depends too much on individual heroics.

That doesn’t scale.

This role exists to build a reliability system where:

• Uptime is predictable
• Failures are contained
• Escalations don’t depend on leadership

What you’ll do

You will not just monitor systems.

You will own reliability as a product.

1. Drive uptime to production-grade reliability

• Improve system uptime to 99.9% customer-facing SLA within 4 months
• Define and track:
• SLAs / SLOs / error budgets
• Ensure reliability is measured from the customer’s perspective, not internal metrics

2. Build incident response as a system

• Set up a 24/7 incident response rotation across 3 engineers
• Eliminate dependency on leadership (no single escalation point)
• Define:
• Incident severity levels
• Response playbooks
• Escalation protocols
• Ensure fast detection → containment → resolution

3. Contain and fix erratic system behavior

• Identify and resolve:
• Latency spikes
• Downtime incidents
• Integration failures
• Build guardrails to prevent recurrence
• Focus on root cause elimination, not temporary fixes

4. Create continuous reliability feedback loops

• Work closely with engineering teams to:
• Surface recurring failure patterns
• Improve build quality
• Reduce production bugs
• Ensure learnings from incidents directly improve future releases

5. Improve observability and monitoring

• Build dashboards and alerts for:
• System health
• Performance metrics
• Failure signals
• Ensure issues are detected before customers report them

6. Reduce operational fragility

• Remove single points of failure (people, systems, workflows)
• Improve system resilience across:
• Deployments
• Integrations
• Runtime environments

What success looks like

• Uptime reaches 99.9%+ reliably
• Incidents are:
• Detected early
• Contained quickly
• Resolved permanently
• No dependency on a single individual for escalation
• System behavior becomes predictable and stable
• Engineering teams ship with higher reliability confidence

Who you are

• You have 2-5 years of experience in SRE / DevOps / backend systems
• You have worked on production systems with real uptime expectations
• You think in:
• Systems
• Failure modes
• Trade-offs
• You are comfortable debugging live, high-pressure environments

What will make you stand out

• Experience with:
• Distributed systems
• Cloud infrastructure (AWS / Azure / GCP)
• Monitoring & alerting tools
• Have built or improved:
• Incident response systems
• Reliability frameworks
• Strong debugging skills across:
• Infra
• Application
• Integrations

Compensation

₹60,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

• You will define reliability standards for a production AI platform
• Your work directly impacts:
• Customer trust
• Product performance
• Enterprise readiness
• You will move the system from reactive → predictable

What this role is not

• Not just monitoring dashboards
• Not limited to handling tickets
• Not dependent on escalation to leadership

What this role is

• A builder of reliability systems
• A guardian of uptime and performance
• A multiplier of engineering quality

One question to self-evaluate

Can you build a system where downtime is rare, predictable, and never dependent on a single person?

Location: Bangalore

Experience: 3–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most AI products fail not because they lack capability, but because they don’t deliver repeatable outcomes at scale.

We are building a platform where AI agents don’t just respond — they execute workflows reliably across enterprises.

This role exists to ensure:

• We can deploy across multiple Tier-1 customers without breaking
• We can measure outcomes, not activity
• We become impossible to replace at renewal

What you’ll do

You will not manage a backlog.

You will own the product as a system that drives business outcomes.

1. Build the workflow execution platform (v2)

• Ship a platform that supports 3+ concurrent Tier-1 deployments without custom forks
• Eliminate one-off implementations — move toward configurable, reusable systems
• Ensure the product works across real enterprise environments, not ideal ones

2. Own outcome tracking and monetization layer

• Design instrumentation to track:
• Business outcomes (conversion, recovery, resolution)
• Not just interactions or usage
• Enable hybrid pricing models (Stage 2) across multiple accounts
• Ensure every deployment can prove ROI clearly

3. Convert customer reality into product roadmap

• Work directly with insurers like:
• SBI Life Insurance, HDFC Life, ICICI Prudential Life Insurance
• Translate:
• Feedback
• Failure modes
• Operational friction
• into clear product priorities
• Build features that make the platform 2x harder to rip out at renewal

4. Create new AI-native product segments

• Identify workflows that were not possible before AI
• Build entirely new categories of automation and execution
• Go beyond efficiency — enable new revenue or capability layers

5. Drive cost reduction and operational efficiency

• Reduce dependency on:
• Support teams
• Manual intervention
• Move toward self-serve, reliable execution
• Target: support dependency → near zero

6. Improve activation and time-to-value

• Reduce deployment/activation time to 7–21 days
• Work closely with deployment teams to remove friction
• Ensure customers see value within weeks, not months

7. Own customer experience of the product

• Ensure live customers:
• Are satisfied
• See consistent performance
• Track and improve:
• Reliability
• Latency
• Outcome success rates

What success looks like

• Platform supports multiple Tier-1 deployments without breaking
• Outcome tracking is clear, trusted, and monetizable
• Customers can prove ROI within weeks
• Product becomes deeply embedded and hard to replace
• Activation happens in ≤ 21 days
• Support dependency drops significantly

Who you are

• You have 3-5 years of product management experience
• You have built systems, not just features
• You are comfortable working in:
• Ambiguous environments
• Customer-facing contexts
• You think in:
• Outcomes
• Trade-offs
• Systems design

What will make you stand out

• Experience building enterprise SaaS or AI platforms
• Strong understanding of:
• Workflow systems
• Integrations
• Operational constraints
• Have worked closely with customers to shape product direction
• Have built products that are used daily in production environments

Why join

• You will define how AI actually works in enterprises
• Your work directly impacts:
• Revenue
• Retention
• Product defensibility
• You will build a platform that moves from demos → real execution

What this role is not

• Not a backlog manager
• Not a feature prioritizer in isolation
• Not disconnected from customers

What this role is

• A system builder
• A translator of customer reality into product truth
• A driver of outcome-based product thinking

One question to self-evaluate

Can you build a product that works across multiple enterprise customers without breaking — and proves its value every single day?

Location: Bangalore

Experience: 2-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies think HR is about policies.

It isn’t.

It’s about building a system where great people join, stay, perform, and scale.

We are at a stage where hiring, performance, and culture cannot depend on founders anymore.

This role exists to build a repeatable, investor-grade people engine.

What you’ll do

You will not “manage HR.”

You will design and run the operating system for people.

1. Build a high-performance hiring engine

• Own hiring across functions (engineering, GTM, ops)
• Design structured hiring processes (scorecards, interview loops, decision frameworks)
• Ensure quality of hire improves over time, not just speed
• Build pipelines for leadership hiring (not just execution roles)

2. Design compensation & ownership frameworks

• Build clear, defensible compensation bands
• Create an ESOP framework aligned with long-term value creation
• Ensure all comp decisions can withstand Series A investor scrutiny

3. Create a world-class onboarding system

• Design onboarding that drives productivity in weeks, not months
• Standardize onboarding playbooks across roles
• Track onboarding success through measurable outcomes

4. Own performance management

• Design and run performance review cycles
• Create clarity on:
• What good looks like
• How performance is measured
• How decisions are made (promotions, exits, rewards)
• Enable managers to run high-quality performance conversations

5. Build team health & operating rhythm

• Own:
• Leave management
• Team well-being
• Feedback loops
• Identify early signals of:
• Burnout
• Misalignment
• Performance drift
• Intervene before problems become visible

6. Develop leadership pipeline

• Identify and hire future leaders
• Work with founders to define leadership expectations
• Build succession depth across teams

7. Create an intern-to-full-time talent engine

• Design structured intern programs
• Train interns into deployable talent
• Build a bench of pre-trained candidates ready for rapid hiring

What success looks like

• Hiring becomes predictable, high-quality, and fast
• New hires become productive within weeks
• Compensation and ESOP structures are clear and defensible
• Performance reviews are objective and trusted
• Team health issues are caught early and resolved
• There is always a ready talent pipeline (interns + leadership)

Who you are

• You have 2-5 years of experience in people operations / talent
• You have built or scaled hiring and people systems, not just executed processes
• You think in systems and frameworks, not policies
• You are comfortable working closely with founders and influencing decisions
• You care deeply about performance, not just culture optics

What will make you stand out

• Experience in high-growth startups (Series A/B stage)
• Designed comp/ESOP frameworks from scratch
• Built structured hiring and performance systems
• Worked on leadership hiring and org design
• Can combine data + judgment in people decisions

Why join

• You will build the people foundation of a scaling company
• Your work directly impacts team quality, speed, and culture
• You will operate close to leadership and influence core decisions

What this role is not

• Not an admin or policy management role
• Not limited to payroll, compliance, or coordination
• Not reactive HR support

What this role is

• A builder of systems
• A guardian of talent quality
• A multiplier of team performance

Location: Bangalore

Experience: 2-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Enterprise deals are not won by decks.

They are won when a customer sees their exact problem solved in front of them.

Today, that burden sits too heavily on leadership.

This role exists to build a repeatable, high-conversion demo and solutioning engine — one that can independently convert top-tier enterprise conversations into signed POCs.

What you’ll do

You will not “support sales.”

You will own the technical win.

1. Convert enterprise demos into signed POCs

• Own pre-sales for Tier-1 accounts including:
• SBI Life Insurance, HDFC Life, ICICI Prudential Life Insurance
• New India Assurance, HDFC ERGO General Insurance, Bajaj Allianz General Insurance
• Convert 5+ Tier-1 demos into signed POCs within 6 months
• Drive technical confidence to unblock decision-making

2. Run high-conviction demo motions

• Lead structured, high-stakes demos where:
• Use case clarity is sharp (not generic AI talk)
• Solution mapping is precise
• Customer objections are addressed in real-time
• Move from “interesting conversation” → “clear next step”

3. Own solution architecture in pre-sales

• Translate business problems into:
• Clear solution architecture
• Deployment feasibility
• Integration approach
• Work across systems like:
• CRM (e.g. Salesforce)
• Telephony (e.g. Exotel)
• Policy/admin systems

4. Eliminate founder dependency in pre-sales

• Take ownership of technical conversations currently handled by leadership
• Become the default authority in:
• Solutioning
• Technical validation
• Pre-POC architecture

5. Build a repeatable demo + proposal system

• Standardize:
• Demo flows by use case (persistency, renewals, claims, sales)
• Proposal structures
• Technical discovery frameworks
• Ensure conversion improves with every iteration

What success looks like

• 5+ Tier-1 POCs closed within 6 months
• Demo → POC conversion becomes predictable
• CTO is no longer required in most pre-sales calls
• Customers leave demos with clarity, not curiosity

Who you are

• You have 2-5 years of experience in solutions engineering / pre-sales
• You have worked on enterprise deals with complex stakeholders
• You can translate business problems into technical solutions quickly
• You are comfortable being the most accountable person in the room
• You don’t rely on slides — you rely on clarity and conviction

What will make you stand out

• Experience selling into BFSI / insurance enterprises
• Strong understanding of:
• Customer workflows (sales, servicing, renewals)
• Enterprise integrations
• Have personally contributed to closing large deals
• Can handle CXO-level conversations without escalation

(Aligned with ownership and impact expectations)

Why join

• You will work on high-stakes enterprise deals from Day 1
• Your work directly impacts revenue and category creation
• You will help define the pre-sales engine of an AI company

What this role is not

• Not a demo operator
• Not a slide presenter
• Not dependent on leadership to close deals

What this role is

• A technical closer
• A problem translator
• A system builder for enterprise conversion

Field Deployment Engineer (Customer Integrations)

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Why this role exists

Most enterprise AI deployments fail not because the tech doesn’t work—but because they never go live fast enough.

We are solving that.

This role exists to ensure that every signed deal becomes a live, production-grade deployment in weeks—not months.

What you’ll do

This is not a support or integration role.

You will operate like a Forward Deployed Engineer — owning delivery end-to-end.

1. Own deployments from SOW → go-live

• Deploy integrations across insurers like HDFC Life, SBI Life, ICICI Prudential Life Insurance
• Deliver first successful interaction within 15 days of SOW signature
• Work directly in live enterprise environments (not sandbox demos)

2. Reduce time-to-value aggressively

• Take deployment timelines from 90 days → 30 days within 6 months
• Identify bottlenecks across:
• APIs
• Data availability
• Customer dependencies
• Internal workflows
• Fix systems — don’t escalate problems

3. Build the integration playbook

• Standardize deployments across:
• Policy admin systems (LifeAsia, Ingenium)
• CRM platforms like Salesforce
• Telephony systems like Exotel
• Create reusable templates, connectors, and workflows
• Ensure every deployment becomes faster than the last

4. Work on real enterprise systems

• Active accounts include:
• Chola, Generali, TVS Finance, Home Credit, Brigade, DLF, Jaro, Delhivery
• Handle:
• Incomplete APIs
• Legacy systems
• Integration edge cases
• Own resolution end-to-end

5. Translate business → production systems

• Understand use cases like:
• Renewals / persistency
• Claims servicing
• Sales and onboarding workflows
• Convert requirements into:
• Working integrations
• Live agent workflows
• Production-ready systems

What success looks like

• Deployments go live in ≤ 15 days
• Time-to-first-interaction becomes predictable and repeatable
• Integration effort reduces with each new customer
• Customers see real value in weeks, not quarters

Who you are

• You have 2-5 years of experience building or integrating systems
• Comfortable working with APIs, CRMs, and backend systems
• You don’t wait for perfect specs — you figure things out and ship
• You think in systems and outcomes, not tickets
• You are comfortable being customer-facing and accountable

What will make you stand out

• Experience with enterprise systems (insurance / fintech / CRM)
• Built integrations across multiple systems
• Reduced deployment timelines in previous roles
• Can debug across layers: API → infra → workflow → user experience

Why join

• You will work on real enterprise deployments from Day 1
• Your work directly impacts revenue realization and go-live success
• You will help build the deployment engine of an AI company

Role Overview

As a Senior QA Engineer (Automation), you will drive product quality across all stages of development and deployment. You’ll take complete ownership of defining QA strategy, implementing robust automation frameworks, and ensuring every release meets our high standards of reliability, performance, and user delight.

This role is ideal for someone who thrives in a fast-paced startup environment, loves solving problems, and is passionate about building scalable and flawless user experiences.

Key Responsibilities

Define & Execute QA Strategy:

Develop and implement test strategies covering functional, regression, integration, and exploratory testing.

Automation Leadership:

Build and maintain scalable automation frameworks integrated into CI/CD pipelines to improve speed, reliability, and test coverage.

Collaborate Early:

Partner closely with Product and Engineering teams to ensure testable requirements and early QA involvement in the development cycle.

Release Readiness:

Own end-to-end release validation, including regression testing, defect triage, and final sign-off on product quality.

Quality Metrics & Reporting:

Define, track, and communicate key QA metrics (defect leakage, build health, test coverage) to drive data-backed improvements.

Performance & Security Testing:

Conduct basic performance and security validation to ensure system robustness.

Mentorship & Best Practices:

Guide junior QA engineers, promoting test design excellence, automation best practices, and continuous improvement.

Process Optimization:

Continuously enhance QA processes through retrospectives, automation expansion, and shift-left testing principles.

Documentation:

Maintain comprehensive documentation of test cases, strategies, bug reports, and quality incident postmortems.

What We’re Looking For

• 5 - 10  years of QA experience in product-based startups, ideally in B2C environments.
• Proven expertise in test automation (e.g., Selenium, Appium, Cypress, Playwright, etc.).
• Strong understanding of CI/CD pipelines, API testing, and test design principles.
• Hands-on experience with manual and exploratory testing.
• Ability to handle multiple projects independently and drive them to completion.
• High sense of ownership, accountability, and attention to detail.
• Excellent communication and collaboration skills.
• Willingness to work from the office (HSR Layout, Bangalore).

Why Join Us

• Opportunity to impact millions of users in India’s devotional and spiritual space.
• Work with a talented, passionate, and mission-driven team.
• High ownership role with end-to-end accountability.
• Fast-paced, collaborative, and growth-oriented culture.

Build seamless, trusted experiences that bring faith and technology together.

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. - 3-8 years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Key Responsibilities: -

• Counsel students and parents on academic programs, courses, and career

pathways.

• Understand student requirements and recommend suitable courses or programs.

• Handle inquiries via calls, emails, WhatsApp, and walk-ins.

• Assist students with the admission and enrolment process.

• Maintain accurate records of student interactions in CRM/ERP systems.

• Follow up with prospective students to ensure conversion and enrolment.

• Coordinate with academic and operations teams for smooth onboarding.

• Provide ongoing academic guidance and address student concerns.

• Meet assigned counselling and enrolment targets.

• Participate in seminars, webinars, and career guidance sessions.

Required Skills & Qualifications: -

• Graduate/Postgraduate in any discipline (Education background preferred), MBA,

Psychology, BBA

• Strong communication and interpersonal skills.

• Ability to understand student needs and provide appropriate guidance.

• Basic knowledge of academic programs, career options, and admissions

processes.

• Proficiency in MS Office and CRM tools.

• Target-driven with a student-centric approach.

Responsibilities

• Design and implement IAM solutions using SailPoint Identity Security Cloud
• Develop and support provisioning/deprovisioning workflows
• Build and manage application integrations using APIs, connectors, and Java
• Develop and troubleshoot SailPoint rules and customizations
• Configure access requests, approvals, certifications, and role models
• Support Joiner-Mover-Leaver (JML) processes
• Integrate enterprise systems like Active Directory, LDAP, HR systems, and cloud apps
• Develop REST API integrations using Java
• Troubleshoot identity governance and provisioning issues
• Collaborate with security, infrastructure, and application teams
• Support compliance, audit, and access review initiatives

Required Skills

• 4+ years (or as required) in SailPoint Identity Security Cloud / IAM development
• Strong experience in Java / J2EE
• Hands-on with REST APIs, JSON, XML
• Experience with SailPoint connectors and source integrations
• Knowledge of access certifications, RBAC, provisioning
• Experience with SQL and directory services (LDAP/AD)
• Familiarity with Git and CI/CD tools like Jenkins
• Understanding of SAML, OAuth, OIDC is a plus

Preferred Qualifications

• Experience with cloud IAM/security platforms
• SailPoint certifications preferred
• Knowledge of Agile/Scrum delivery
• Exposure to Amazon Web Services / Azure is a plus

About us:

Optimo Capital is a newly established NBFC founded by Prashant Pitti, who is also a co-founder of EaseMyTrip (a billion-dollar listed startup that grew profitably without any funding).

Our mission is to serve the underserved MSME businesses in India with their credit needs. With less than 15% of MSMEs having access to formal credit, we aim to bridge this credit gap by employing a phygital model (physical branches + digital decision-making).

As a technology and data-first company, tech and data enthusiasts play a crucial role in building the infrastructure at Optimo, and help the company thrive.

What we offer:

Join our dynamic startup team as a Full Stack Developer and play a crucial role in web application & API developments, customer journeys, tech integrations, building robust credit risk and underwriting decision engines, cloud infrastructure, and more.

This is an exceptional opportunity to learn, grow, and make a significant impact in a fast-paced startup environment. We believe that the freedom and accountability to make decisions in technology, software, system architecture, and other design aspects bring out the best in you and help us build the best for the company.

This environment will not only offer you a steep learning curve but also allow you to experience the direct impact of your technological contributions. In addition, we offer industry-standard compensation.

What we look for:

We are looking for individuals with strong proficiency in Python, React, and Django. Any experience in a startup, front-end/back-end development, tech-integrations, or open-source contributions will be highly valued.

We focus not only on your skills but also on your attitude and your hunger to learn, grow, lead, and thrive—both as an individual and as part of a team. We encourage taking on challenges, learning new technologies, understanding, building, and implementing them within a short period of time. Your willingness to put in the extra effort to build the best systems will be highly appreciated.

Skills:

Excellent proficiency with the ability to write clean, robust, production-level code. Experience in designing, developing, and maintaining web apps and rule engines is required. At least one year of experience as a developer in any engineering / software-based role is required.

1) Frontend Development

• JavaScript: Strong proficiency in JavaScript, including ES6+ features
• React: Experience building complex user interfaces using React and its ecosystem (e.g., Redux, Context API)
• HTML/CSS: Solid understanding of HTML5 and CSS3 for creating responsive and accessible web pages

2) Backend Development

• Python: Proficiency in Python for server-side development
• Django: Working knowledge in Django, Django Rest Framework
• Flask (or FastAPI): Experience building RESTful APIs using Flask or FastAPI is a plus

3) REST APIs: A strong understanding of APIs is required, along with prior experience in API development or integration. Writing REST APIs from scratch is highly desirable.

4) Databases: A basic understanding of both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases is required. Basic knowledge of database management, optimization, and query design is expected.

5) Git: Proficiency in Git is essential, with experience in branching, merging, pull requests, and conflict resolution. Experience in collaborative projects using Git is highly valued.

6) Good to have: 

• Basic understanding of data pipelines/ETLs, dashboarding, and AWS is beneficial but not required.
• Experience in building WhatsApp chat/flow journeys, Working with maps, and creating data layers (e.g., Google Maps API, Mapbox) is highly valued. (not mandatory)

What you'll be working on:

1. Design and build systems focused on creating straight-through processes for lending (specifically property loans), from customer onboarding to disbursement, with an emphasis on accurate and efficient credit and risk assessment.
2. Take projects from ideation to production, including web applications, rule engines, third-party API integrations, and other technology developments.
3. Take initiative and ownership of engineering projects, ensuring a seamless user experience.
4. Manage and coordinate the cloud infrastructure and application setup, including source code repositories, CI/CD pipelines, servers, and deployments.

Other Requirements:

1. Availability for full-time work in Bangalore. Advantage for immediate joiners.
2. Strong passion for technology and problem-solving.
3. Ability to translate requirements into intuitive interfaces is highly appreciated 
4. At least 1 year of industry experience in a technical role specifically as a developer is a must.
5. Self-motivated and capable of working both independently and collaboratively.

If you are ready to embark on an exciting journey of growth, learning, and innovation, apply now to join our pioneering team in Bangalore.

We are looking for a hands-on Generative AI Engineer to design, build, and deploy enterprise-grade GenAI platform capabilities across multiple business units.

This role focuses on developing scalable, reusable AI components across the full stack—covering RAG systems, agent orchestration, LLM infrastructure, and GenAIOps—on GCP (primary) and Azure.

This is a core engineering role, not a research or client-facing position.

Key Responsibilities

• Design and build production-ready GenAI systems and platform components
• Develop and deploy RAG pipelines (data ingestion, embeddings, retrieval, APIs)
• Implement agent-based architectures (orchestration, routing, memory, workflows)
• Build and manage LLM infrastructure (model routing, caching, rate limiting, observability)
• Develop scalable APIs and services for AI capabilities
• Implement GenAIOps/MLOps practices (prompt management, evaluation, monitoring, deployment)
• Work with GCP services (Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub) to deploy solutions
• Ensure AI safety, governance, and compliance (PII protection, guardrails, auditability)
• Collaborate with cross-functional teams to deliver reusable, enterprise-grade solutions

Required Skills & Experience

• Strong hands-on experience in Generative AI and RAG systems (production level)
• Experience building multi-agent or agentic AI systems
• Proficiency in Python and backend/API development
• Hands-on experience with GCP AI/ML ecosystem (Vertex AI, BigQuery, etc.)
• Solid understanding of LLM infrastructure and orchestration layers
• Experience with CI/CD pipelines and Infrastructure as Code (Terraform)
• Knowledge of GenAIOps/MLOps practices and model lifecycle management
• Understanding of AI safety, governance, and compliance

Nice to Have

• Experience with LangChain, LlamaIndex, or similar frameworks
• Familiarity with RAG evaluation tools (RAGAS, DeepEval)
• Knowledge of Knowledge Graphs with RAG
• Experience in multi-cloud environments (GCP + Azure)
• Exposure to BFSI/regulated domains

What We’re Looking For

• Engineers who have built and deployed real-world GenAI systems at scale
• Strong backend and systems-thinking mindset
• Ability to work in fast-paced, enterprise environments

Role Type

• Individual Contributor (IC)
• Platform Engineering / Backend-heavy GenAI role

Responsibilities:

• Conduct in-depth analysis of the product and documentation requirements.
• Create highly technical documentation that meets the needs of its intended audience.
• Collaborate with the technical team to make the products easier to use by writing a simple instructions manual.
• Review the existing content and make changes as required.
• Research and develop technical design specifications and test scripts.

Requirements:

• Bachelor's degree in Computer Science or Engineering.
• 3-5 years of experience working as a Technical Writer or a similar role.
• Ability to create high-quality technical documents.
• Exceptional working experience in technical writing of software documentation requirements.
• Ability to understand the technical concepts and make them easier to understand for our product users.
• Familiar with the product development process.
• Outstanding writing skills.
• Ability to write in different styles for a variety of audiences.
• Exceptional verbal communication skills.
• Good time management skills.

Interested? Let’s Connect!

Job Title: Company Secretary

Company: Soham Renewable Energy India Pvt. Ltd.

Website: http://sohamenergy.in/

Experience: 1–5 years (any industry)

Qualification: ACS / FCS (ICSI Certified)

Joining: Immediate joiners preferred

Location: Bangalore

About the Company

We are thrilled to share a career opportunity with Soham Renewable Energy India Pvt. Ltd. (Soham Energy) – a leading renewable energy company specializing in hydroelectric and solar projects, including one of Southeast Asia’s largest hydro plants near Jog Falls, Karnataka. Through the Soham Foundation, the company is equally committed to sustainability and community development.

 Mission: “Powering a sustainable future with clean energy.

Role Overview

We are looking for a qualified and experienced Company Secretary to manage statutory compliance, corporate governance, and board-related matters. The role involves close interaction with the Board, senior management, regulators, and external advisors.

Key Responsibilities

·       Ensure compliance with the Companies Act, MCA, ROC, and other applicable laws

·       Organize and manage Board, Committee, and AGM meetings (agenda, minutes, resolutions)

·       Maintain statutory registers, records, and filings

·       Draft notices, resolutions, minutes, agreements, and compliance documents

·       Advise management and the Board on governance and regulatory matters

·       Coordinate with auditors, legal consultants, and regulatory authorities

·       Monitor changes in corporate laws and assess impact on the company

Required Skills

·       Strong knowledge of corporate law, governance, and compliance

·       Excellent drafting, communication, and coordination skills

·       High level of integrity and confidentiality

·       Ability to work independently and handle multiple deadlines

·       Accounts and finance.

What We Offer

·       Competitive compensation

·       Opportunity to work with senior leadership

·       Stable role with long-term growth potential

Interested? Let’s Connect or LinkedIn or message me here!

 https://www.linkedin.com/in/indrani-dutta-a9a65135/

Best Regards,

Indrani Dutta

Senior HR Manager

Soham Renewable Energy India Pvt. Ltd.

Visit: www.miror.in

Visit: https://www.sohamenergy.in/

🚀 Hiring: .NET Develoepr at Deqode

⭐ Experience: 4+ Years

📍 Location: Mumbai and Bangalore

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We are looking for a skilled .NET Developer to design and develop scalable microservices and enterprise-grade applications. The role involves building secure REST APIs, writing clean and testable code, working with Docker-based deployments, and collaborating with cross-functional teams.

Key Responsibilities:

• Develop .NET Core microservices
• Build and secure REST APIs
• Write unit & integration tests
• Deploy applications using Docker
• Ensure performance optimization and code quality

3 Mandatory Skills

1. .NET Core / ASP.NET Core Web API
2. Microservices & Docker
3. REST API development with Unit Testing

AI Engineer (1–8 years)

Location: Bellandur, Outer Ring Road, Bengaluru (Work from Office only)

Organization Size: 20 members across functions, and growing

Reports to: Head of Engineering

GetSetYo is a Bangalore-based early-stage travel tech startup, built by internet industry veterans (ex-Makemytrip, Flipkart, Ola, PhonePe, Zynga, MagicPin, etc.) and premier academic institutes (IIT Delhi, IIT BHU, ISB, DCE, NIT Surathkal, etc.), and funded by multiple unicorn founders (of companies such as MakeMyTrip, Zomato, Groww, Udaan, MaMaEarth, etc.) and we’re growing fast. Look us up here - https://www.getsetyo.com/about

We’re building something exciting in the travel tech space and looking for a senior AI Engineer to join our core engineering team in Bangalore.

Who Are You:

• 1–8 years of total software engineering experience, including at least 1 year building and shipping AI/ML or LLM-powered products in production
• Engineering degree from a top-ranked college
• Strong engineering foundation in Python or Java, with the ability to build reliable backend services, APIs, evaluation pipelines, and developer tooling around AI systems
• Hands-on experience with LLM application patterns such as RAG, tool/function calling, structured output generation, vector search, reranking, and agentic workflows
• Familiarity with agent frameworks and orchestration patterns, including multi-step workflows, planner/executor patterns, tool routing, and guardrails
• Working knowledge of MCP (Model Context Protocol) or similar patterns for connecting models to internal tools, data sources, and external systems
• Strong understanding of context engineering, prompt design, and how to manage instructions, conversation state, tools, memory, and retrieved context for consistent model behavior
• Experience with evaluation and observability for AI systems: offline evals, online metrics, regression testing, trace inspection, cost/latency monitoring, and failure analysis
• Comfortable working in a fast-paced startup where you can own problem statements end to end — from prototype to production rollout
• Must have experience using AI-native developer tools such as Claude Code / coding agents / AI-assisted workflows to accelerate delivery

What You’ll Do

• Build and own production-grade AI features across the stack, from experimentation and prototyping to backend integration, deployment, monitoring, and iterative improvement
• Design and implement agentic workflows for real user problems — combining LLM reasoning, retrieval, tool use, business rules, and backend APIs into reliable multi-step systems
• Build and optimize RAG and search systems: document ingestion, chunking strategies, embedding pipelines, vector indexes, hybrid retrieval, reranking, and citation/grounding flows
• Integrate models with internal and external systems through tool calling, APIs, and where relevant MCP-compatible interfaces, so models can safely access the right context and take useful actions
• Drive context engineering for AI products: decide what memory, instructions, retrieved context, tool outputs, and interaction history should be passed to the model at each step for maximum quality and efficiency 
• Build evaluation systems for prompts, agents, and retrieval quality — including benchmark datasets, golden test cases, automated regression checks, and human-in-the-loop review workflows
• Establish observability and debugging for AI pipelines: traces, tool execution logs, latency/cost tracking, hallucination analysis, and failure-mode investigation 
• Help define engineering standards for AI systems across security, guardrails, versioning, rollback, experimentation, and cost-performance tradeoffs

What We Offer:

• AI Impact from Day 1: Lead the development of our core ML capabilities
• Fast Iteration: Weekly releases and direct user feedback
• Collaborative Culture: Flat structure and transparent communication
• Vibrant Office: In-person energy in Bangalore HQ
• Perks: Employee travel discounts and exclusive deals.

About the Role

We are looking for a Customer Success Analyst who can work closely with Agile/Scrum teams and bring customer insights into product development. This role will act as a bridge between customers, product, and engineering teams by leveraging data from customer success platforms like Planhat.

Key Responsibilities

• Collaborate with Scrum teams (Product Owner, Developers, Scrum Master) during sprint planning and reviews
• Bring customer insights, feedback, and product usage data into backlog prioritization
• Monitor customer health scores, adoption metrics, and churn risks using tools like Planhat or Gainsight
• Translate customer challenges into actionable user stories and requirements
• Track feature adoption post-release and provide feedback to product teams
• Work closely with Customer Success, Sales, and Support teams to ensure alignment
• Maintain and analyze customer data in CRM tools like Salesforce or HubSpot
• Support renewal and retention strategies by identifying at-risk accounts

Key Requirements

• 5+ years of experience in Customer Success / Business Analysis / Product Support / Account Management
• Basic understanding of Agile / Scrum methodologies
• Experience with Customer Success platforms (Planhat, Gainsight, or similar)
• Strong analytical and problem-solving skills
• Ability to interpret customer data and convert it into actionable insights
• Good communication skills to work with cross-functional teams
• Experience working in SaaS or product-based environments preferred

Good to Have

• Exposure to Agile tools (Jira, Confluence)
• Experience with product analytics tools (Mixpanel, Amplitude)
• Understanding of customer lifecycle management and SaaS metrics (churn, retention, LTV)
• Exposure to accessibility and inclusive product design

Job Description

Job Description

Role: 5G NR L2 Lead

experience: 3-5 years

Skills Required:

• Hands-on experience in 5G NR L2 modules: RLC, MAC, Scheduler

• Strong programming in C/C++

• Good understanding of 3GPP specs (38.321,38.214,38.331)

• Excellent problem-solving and debugging skills

Job Description: -

Conduct meetings and give product demonstration to the CXO level/ key decision makers of the prospective clients -

Cold call as appropriate within your market or geographic area to ensure a robust pipeline of opportunities

- Prospect for potential new clients and turn this into increased business

- Research and build relationships with new clients - Plan approaches and pitches

- Develop and manage an efficient distribution network to improve sales performance

- Conduct market research to understand competitors and market trends

- Provide innovative ideas and suggestions to improve the market presence

- Develop creative promotional strategies to attract more customers

- Handle objections by clarifying, emphasizing agreements and working through differences to a positive conclusion.

- Use a variety of styles to persuade or negotiate appropriately - Maintains relationship with clients & channel partner

- Willing to travel anywhere in India, if required

- To prepare sales proposals for prospective clients

. - Timely Reporting of daily, weekly, sales trackers and monthly reports. - Carry a comfortable back pack of demo kit for demonstration weighng upto 3 kgs.

Requiements/ Qualification:

- Strong Interpersonal and Presentation skills.

- Confident speaker and aility to engage key decision makers (CXO level) is be the key quality 2 sought in candidates.

- Candidates with proven work experience in Channel sales for products like CCTV, Video Door Phone, Access Door Control, etc (preferred)

- MBA (sales and Marketing would be preferred) with 1-2 years experience

- Must have 2 wheeler. Industry: IT-Hardware & Networking/ access control/ automation

About Cutshort:

Cutshort is India’s largest specialised tech hiring platform. Everyday 3000 new engineers sign up on the platform. Over the last 10 years, 4M+ candidates and 1 lakh recruiters from 40,000+ companies have used Cutshort.

Cutshort helps both companies and candidates focus on what actually matters, getting to the priority list faster.

• For companies: We help build a priority list of relevant candidates who can directly move to interview rounds.
• For candidates: We help them get into the priority list of companies so they can land roles faster.

We do this by combining rich candidate data, smart software & sound human judgment. Using AI, we bring all of this together to create a hiring experience that is faster, better, and more cost-effective.

What we offer

• AI hiring platform (subscription model)
• Assisted hiring services (like a recruitment consultant)

Companies such as Fractal, Sprinto, Shiprocket, HighLevel, ThoughtWorks, DeepIntent have built strong engineering teams using Cutshort.

The role

This is an Account Executive track role. You will start by building your own pipeline through outbound efforts (primarily calling), and progressively take ownership of the full sales cycle — from first conversation to closing.

What you’ll do

1. Build pipeline (starting phase)

• Reach out to companies in our ICP via calls, LinkedIn and email
• Identify and connect with decision-makers
• Clearly explain Cutshort’s offerings and generate interest
• Build a strong pipeline of qualified opportunities

2. Own and close deals (as you ramp up)

• Run discovery calls and product demos
• Maintain high deal speed — keep moving deals towards closure faster and avoid unnecessary delays
• Handle objections and drive decision-making
• Stay consistent with follow-ups — qualified leads should not go cold
• Pick up high-intent inbound opportunities (pricing page visits, trial completions, etc.) and drive them to closure

What we’re looking for

• 1–3 years of experience in sales / early AE roles
• Strong intent to become a closing Account Executive
• Ability to think, not just follow scripts
• High ownership. You’re accountable for outcomes, not just activity
• Discipline in follow-ups and pipeline management
• Comfort with outbound (especially calling)

And most importantly:

• You enjoy sales
• You are motivated by revenue, incentives, and winning deals
• You don’t take rejection personally

Who should NOT apply

• Unsure about a career in sales
• Avoids targets, rejection, or outbound effort
• Needs heavy structure and constant direction
• Looking for comfort over growth

Growth path

• Start with building your own pipeline
• Earn the right to run demos and close deals
• Move into a full-cycle Account Executive role based on performance

(No fixed timeline — progression is performance-driven)

How to get an interview invite

Resumes don’t get interview calls. One pitch does.

Welcome to The Hustle — an AI-powered role-play where you pitch and try to get a meeting from an AI decision maker. If you succeed, your pitch gets reviewed and you may get an interview. If not, practice and come back.

How to participate:

• After applying to this role, attempt the AI role-play pitch. You'll get the link to the challenge once you make an application.
• Use the same email ID everywhere

Job Title : DevOps Engineer

Experience : 3+ Years

Location : Indiranagar, Bengaluru (Work From Office – 5 Days)

Employment Type : Full-Time

Work Timings : 11:00 AM to 7:00 PM IST

Notice Period : Immediate Joiners Preferred

Role Overview :

We are seeking a skilled DevOps Engineer with 3+ years of experience in building and managing scalable cloud-native infrastructure.

The ideal candidate will have strong expertise in Kubernetes and Helm, along with hands-on experience in deploying and maintaining production-grade systems on cloud platforms.

This role offers an opportunity to work in a high-growth startup environment, contributing to both existing systems and new infrastructure development.

Key Responsibilities :

• Design, deploy, and manage scalable infrastructure using Kubernetes.
• Build and maintain CI/CD pipelines for efficient and automated deployments.
• Manage and optimize cloud environments (preferably GCP).
• Implement Infrastructure as Code using Helm/Terraform.
• Monitor system performance and ensure high availability and reliability.
• Handle bug fixes, system improvements, and performance optimization.
• Collaborate with engineering teams to design scalable microservices architecture.
• Implement logging, monitoring, and alerting solutions.
• Ensure security best practices including IAM, secrets management, and network policies.

Mandatory Skills :

• Strong hands-on experience with Kubernetes.
• Expertise in Helm Charts.
• Experience with Google Cloud Platform (GCP).
• Hands-on experience with ArgoCD or similar CI/CD tools.
• Knowledge of CI/CD tools like Jenkins, GitHub Actions, GitLab CI.
• Experience in database hosting and scaling.

Nice to Have :

• Exposure to other cloud platforms (AWS/Azure).
• Experience with modern DevOps and automation tools.
• Ability to quickly learn and adapt to new technologies.

Team & Work Scope :

• No dedicated DevOps team currently – high ownership role.
• Work on both existing systems (maintenance & improvements) and new system builds (greenfield projects).
• Opportunity to shape DevOps practices and infrastructure from scratch.

Preferred Candidate Profile :

• 3+ years of relevant DevOps experience.
• Strong problem-solving and debugging skills.
• Experience working in fast-paced startup environments.
• Understanding of scalability, security, and performance optimization.
• Good communication and collaboration skills.

Hiring Process :

1. Profile Screening
2. GT Assessment
3. Technical Interview – Round 1
4. Technical Interview – Round 2
5. Final Round (if required with US team)

Job Summary:

We are looking for a highly motivated and skilled Software Engineer to join our team.

This role requires a strong understanding of the software development lifecycle, proficiency in coding, and excellent communication skills.

The ideal candidate will be responsible for production monitoring, resolving minor technical issues, collecting client information, providing effective client interactions, and supporting our development team in resolving challenges

Key Responsibilities:

Client Interaction: Serve as the primary point of contact for client queries, provide excellent communication, and ensure timely issue resolution.

Issue Resolution: Troubleshoot and resolve minor issues related to software applications in a timely manner.

Information Collection: Gather detailed technical information from clients, understand the problem context, and relay the information to the development leads for further action.

Collaboration: Work closely with development leads and cross-functional teams to provide timely support and resolution for customer issues.

Documentation: Document client issues, actions taken, and resolutions for future reference and continuous improvement.

Software Development Lifecycle: Be involved in maintaining, supporting, and optimizing software through its lifecycle, including bug fixes and enhancements.

Automating Redundant Support Tasks: (good to have) Should be able to automate the redundant repetitive tasks Required Skills and Qualifications:

Mandatory Skills:

Expertise in at least one Object Oriented Programming language (Python, Java, C#, C++, Reactjs, Nodejs).

Good knowledge on Data Structure and their correct usage.

Open to learn any new software development skill if needed for the project.

Alignment and utilization of the core enterprise technology stacks and integration capabilities throughout the transition states.

Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives.

Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them.

Good knowledge on the implications.

Experience architecting & estimating deep technical custom solutions & integrations.

Added advantage:

You have developed software using web technologies.

You have handled a project from start to end.

You have worked in an Agile Development project and have experience of writing and estimating User Stories

Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain technical issues to non-technical clients.

Client-Facing Experience: Strong ability to interact with clients, gather necessary information, and ensure a high level of customer satisfaction.

Problem-Solving: Quick-thinking and proactive in resolving minor issues, with a focus on providing excellent user experience.

Team Collaboration: Ability to collaborate with development leads, engineering teams, and other stakeholders to escalate complex issues or gather additional technical support when required.

Preferred Skills:

Familiarity with Cloud Platforms and Cyber Security tools: Knowledge of cloud computing platforms and services (AWS, Azure, Google Cloud) and Cortex XSOAR, SIEM, SOAR, XDR tools is a plus.

Automation and Scripting: Experience with automating processes or writing scripts to support issue resolution is an advantage.

Machine Learning Engineer / AI Engineer

2 to 10 Years Experience

What if your models didn't just forecast demand — they autonomously acted on it?

We're building the next generation of supply chain intelligence, where AI agents don't just predict — they reason, decide, and adapt. If you're the kind of engineer who gets excited about turning a forecast into an autonomous decision engine, this role is for you.

Be Part of Something Bigger

At our core, we own the challenge and drive the future — taking full responsibility for delivering smart, sustainable solutions that optimize supply chains. We believe knowledge fuels confidence, fostering continuous learning, innovation, and expertise to push boundaries with clarity and purpose.

With a commitment to opportunities for all and growth for everyone, we create pathways for success, empowering individuals to thrive. Our strength lies in being stronger, smarter, together — harnessing diverse perspectives and collaboration to drive bold ideas. Above all, we focus on impact that matters and results that last, building intelligent, sustainable solutions that create long-term value for businesses and the world.

What You'll Build

You'll architect intelligent systems that sense demand shifts in real time and recommend actions before a human even asks. Specifically, you will work across:

•      Agentic AI pipelines that go beyond prediction — systems that reason, decide, and adapt autonomously

•      Advanced demand forecasting and sensing models using attribute-based and cohort-based approaches

•      Signal integration frameworks that fuse external data and real-time market inputs

•      Feature engineering at scale — lag structures, rolling aggregations, and derived features

•      Model performance frameworks tied directly to measurable business outcomes

•      Translating complex model insights into clear, actionable language for clients and leadership

Who You Are

You bring a strong foundation in machine learning and a genuine curiosity about where AI is heading. The ideal candidate has:

•      2–10 years of hands-on experience in ML, AI, or Data Science with proven model-building track record

•      Python fluency — pandas, scikit-learn, XGBoost, LightGBM are second nature to you

•      Deep understanding of time series forecasting and experience with large-scale transactional datasets

•      Ability to connect model outputs to real business impact and articulate the 'so what' clearly

•      Genuine curiosity about the power of AI and openness to emerging tools and paradigms — including agentic and generative AI

Bonus Points

•      Experience in retail, supply chain, or inventory planning domains

•      Exposure to hierarchical forecasting, new product forecasting, or ensemble methods

•      Hands-on work with LLM-based agents or orchestration frameworks

Why This Role Is Different

Your models won't sit in a notebook — they'll drive decisions for real companies managing real inventory and real revenue.

•      Work at the cutting edge of agentic AI in supply chain, a space being reinvented right now

•      See your models directly influence supply chain decisions for enterprise brands, retailers, and grocers

•      Collaborate with a team of domain experts, data scientists, and product leaders who obsess over outcomes

•      Invest your curiosity in shaping how AI transforms an entire industry from the ground up

Key Performance Indicators

•      Model accuracy, reliability, and real-world forecast performance

•      Speed and quality of model deployment to production pipelines

•      Business impact of AI-driven recommendations — measured in inventory efficiency and revenue outcomes

•      Cross-functional collaboration effectiveness with product, engineering, and client teams

About Flutter Developer: 

We are looking for a Flutter and NodeJS developer with experience in building and publishing apps for iOS 

and Android. 

Your primary focus will be the development of mobile applications and the development / integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design and the creation of quality products is essential. 

We are a fluid organization, and there will sometimes be expectations of tasks beyond the stated job description. For instances, you may be asked to assist with testing other functionalities, or to assist with a production support incident. Changing customer priorities will also mean switching out of an unfinished task to focus on a higher- priority task. 

Roles & Responsibilities: 

* Designing and building mobile applications using Flutter frameworks. 

* Working closely with other technical specialists for the technical architecture of features.

* Collaborating with and guiding other team members to define app features and dependencies. 

* Ensuring the quality and performance of the application to specifications.

* Identifying potential problems and resolving application performance bottlenecks.

 * Publishing application on Apple App Store and Google Play Store. 

* Designing and implementing application updates.

Prerequisites: 

* Experience in development of Android/iOS applications and have deployed them on Google Play/AppStore. 

* In depth understanding of Object-oriented programming languages like Java and C++. * Experience in the Flutter framework. 

* Experience in Dart programming, developing and integration of Rest APIs, GetX state management, Firebase Cloud Messaging API, working with Map APIs, Caching Data using Hive and integration of payment gateways. 

* Comfortable using test cases for debugging code, enhancing performance and reliability.

* Experience in developing Rest APIs using NodeJS and MongoDB. 

* Familiarity using version control tools like Git and IDEs like Android Studio, VS Code etc.

We are looking for a Mid-Level .NET Developer to design, develop, and maintain scalable microservices for enterprise applications. The role involves working on high-performance, reliable systems deployed in containerized environments.

Key Responsibilities:

• Develop and maintain scalable .NET microservices
• Build robust Web APIs with proper validation, error handling, and security
• Write unit and integration tests to ensure code quality
• Design portable and environment-agnostic solutions
• Collaborate with cross-functional teams and client stakeholders
• Optimize performance and implement caching strategies
• Follow security best practices for enterprise applications
• Participate in code reviews and maintain coding standards
• Support deployment and troubleshoot issues in client environments

Must-Have Skills:

Core Technical Expertise:

• 4+ years of experience with .NET Core (3.1+) / .NET 5+ and C# (8+)
• Strong hands-on experience with ASP.NET Core Web API & Entity Framework Core
• Experience building REST APIs and middleware
• Strong understanding of SOLID principles, Dependency Injection, Repository pattern
• Experience with unit testing (xUnit / NUnit / MSTest), Moq, integration testing

Microservices & Deployment:

• Hands-on experience with Docker
• Understanding of microservices architecture & distributed systems
• Experience with configuration management (appsettings.json, IConfiguration)
• Knowledge of NuGet and dependency management

Good-to-Have Skills:

Advanced Technical:

• Experience with .NET 6/7/8, Minimal APIs, gRPC, SignalR
• Advanced EF Core, Dapper, database migrations
• Kubernetes and container orchestration
• Cloud platforms: Azure / GCP / Alibaba Cloud
• Message brokers: Azure Service Bus, RabbitMQ, Kafka
• Databases: PostgreSQL, MySQL, MongoDB, Cassandra
• API Gateways: Azure API Management, Kong

Development & Operations:

• CI/CD tools: Azure DevOps, Jenkins, GitHub Actions
• Monitoring: Application Insights, Serilog, Prometheus
• Security: HTTPS, CORS, input validation, secure coding
• Background services: Hangfire, Quartz.NET

Client-Facing Experience:

• Experience in service-based organizations
• Ability to adapt to multiple domains
• Understanding of industry standards and compliance 

Job Title: Motion Graphic & Video Editor – After Effects &Premiere Pro Employment Type: Full-Time Location: Bengaluru (Work from Office)

Role Overview: We are seeking a creative, detail-oriented Motion Graphic & Video Editor to joinour dynamic design team. In this role, you'll transform static visuals into dynamic stories through animation and video editing. If you have a flair for animation, storytelling, and a keen eye for design and motion, we’d love to hear from you. Key Responsibilities: Ideation & Planning: Conduct research to understand the brief, project goals, and target audience. Collaborate with stakeholders to develop storyboards, concept art, and visual narratives that align with brand objectives. Video Editing: Edit raw footage into polished video content for various formats, including social media, product explainers, promotional videos, ads, and internal communications. Enhance videos using graphics, transitions, music, voiceovers, and sound effects. Create engaging reels, marketing videos, promo videos, and product showreels tailored for different digital channels. Motion Graphics: Collaborate with design, product, and marketing teams to conceptualize and producehigh-quality motion graphics. Animate content based on scripts or storyboards, ensuring clear and impactful visual communication. Design UI animations, micro-interactions, and seamless transitions for web and mobile interfaces. Requirements: Bachelor’s degree in Animation, Visual Communication, or a related discipline. 2+years of experience as a Video Editor, Animator, or Motion Designer. Strong grasp of animation principles and storytelling techniques. A portfolio or showreel that showcases your creativity, editing style, and range. Proficiency in Adobe Premiere Pro, After Effects, Final Cut Pro, or similar tools. Experience with UI animation tools like Lottie, Figma (Smart Animate/Prototyping), and After Effects.

We are looking for a Mid-Level .NET Developer to design, develop, and maintain scalable microservices for enterprise applications. The role involves working on high-performance, reliable systems deployed in containerized environments.

Key Responsibilities:

• Develop and maintain scalable .NET microservices
• Build robust Web APIs with proper validation, error handling, and security
• Write unit and integration tests to ensure code quality
• Design portable and environment-agnostic solutions
• Collaborate with cross-functional teams and client stakeholders
• Optimize performance and implement caching strategies
• Follow security best practices for enterprise applications
• Participate in code reviews and maintain coding standards
• Support deployment and troubleshoot issues in client environments

Must-Have Skills:

Core Technical Expertise:

• 4+ years of experience with .NET Core (3.1+) / .NET 5+ and C# (8+)
• Strong hands-on experience with ASP.NET Core Web API & Entity Framework Core
• Experience building REST APIs and middleware
• Strong understanding of SOLID principles, Dependency Injection, Repository pattern
• Experience with unit testing (xUnit / NUnit / MSTest), Moq, integration testing

Microservices & Deployment:

• Hands-on experience with Docker
• Understanding of microservices architecture & distributed systems
• Experience with configuration management (appsettings.json, IConfiguration)
• Knowledge of NuGet and dependency management

Good-to-Have Skills:

Advanced Technical:

• Experience with .NET 6/7/8, Minimal APIs, gRPC, SignalR
• Advanced EF Core, Dapper, database migrations
• Kubernetes and container orchestration
• Cloud platforms: Azure / GCP / Alibaba Cloud
• Message brokers: Azure Service Bus, RabbitMQ, Kafka
• Databases: PostgreSQL, MySQL, MongoDB, Cassandra
• API Gateways: Azure API Management, Kong

Development & Operations:

• CI/CD tools: Azure DevOps, Jenkins, GitHub Actions
• Monitoring: Application Insights, Serilog, Prometheus
• Security: HTTPS, CORS, input validation, secure coding
• Background services: Hangfire, Quartz.NET

Client-Facing Experience:

• Experience in service-based organizations
• Ability to adapt to multiple domains
• Understanding of industry standards and compliance 

Role & Responsibilities

We are looking for a hands-on Camunda Developer with strong experience in workflow orchestration and backend development. The ideal candidate should be able to design, build, and optimize end-to-end business processes using Camunda (preferably Camunda 8) and work closely with engineering and business teams to implement scalable and resilient workflows.

Key Responsibilities:

• Translate business requirements into BPMN workflows using Camunda (preferably Camunda 8)
• Design and implement end-to-end process orchestration across systems
• Build and manage service integrations (REST APIs, event-driven systems)
• Develop and maintain Zeebe workers / microservices (Python)
• Collaborate with stakeholders to refine workflows and handle edge cases
• Implement error handling, retries, and compensation mechanisms
• Analyse and improve workflows for scalability, reliability, and performance
• Ensure data consistency and idempotent process execution
• Work with cross-functional teams including data and analytics for process observability

Ideal Candidate

• Strong Senior Camunda Developer / Workflow Orchestration Engineer Profiles
• Mandatory (Experience 1) – Must have 4+years of hands-on experience in backend development and workflow systems, demonstrable through production-grade work on business process automation or backend service development.
• Mandatory (Experience 2) – Must have strong hands-on experience with Camunda and BPMN 2.0, including designing, building, and deploying end-to-end business process workflows in production.
• Mandatory (Experience 3) – Must have hands-on experience with Zeebe workers and the Camunda 8 stack, built and maintained as part of real orchestration systems.
• Mandatory (Experience 4) – Must have strong production-level coding skills in Python, used for building and maintaining Zeebe workers and microservices.
• Mandatory (Experience 5) – Must have experience designing and working within microservices architecture and distributed systems, with clear understanding of service decomposition, inter-service communication, and distributed system failure modes.
• Mandatory (Experience 6) – Must have hands-on experience building and consuming REST APIs and working with event-driven systems (message brokers, pub/sub, event streams).
• Mandatory (Skills) – Must have strong debugging and problem-solving skills in production workflow environments, with specific examples of resolving complex issues such as stuck processes, race conditions, or data inconsistency bugs.
• Preferred (Experience 1) – Exposure to cloud platforms (AWS / GCP / Azure) and experience with data platforms (e.g., Snowflake).
• Preferred (Experience 2) – Understanding of finance-related workflows (billing, reconciliation, etc.).

Responsible for developing, enhancing, modifying, and maintaining chatbot applications in the Global Markets environment. The role involves designing, coding, testing, debugging, and documenting conversational AI solutions, along with supporting activities aligned to the corporate systems architecture.

You will work closely with business partners to understand requirements, analyze data, and deliver optimal, market-ready conversational AI and automation solutions.

Key Responsibilities

• Design, develop, test, debug, and maintain chatbot and virtual agent applications
• Collaborate with business stakeholders to define and translate requirements into technical solutions
• Analyze large volumes of conversational data to improve chatbot accuracy and performance
• Develop automation workflows for data handling and refinement
• Train and optimize chatbots using historical chat logs and user-generated content
• Ensure solutions align with enterprise architecture and best practices
• Document solutions, workflows, and technical designs clearly

Required Skills

• Hands-on experience in developing virtual agents (chatbots/voicebots) and Natural Language Processing (NLP)
• Experience with one or more AI/NLP platforms such as:
• Dialogflow, Amazon Lex, Alexa, Rasa, LUIS, Kore.AI
• Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein, Converse.ai
• Strong programming knowledge in Python, JavaScript, or Node.js
• Experience training chatbots using historical conversations or large-scale text datasets
• Practical knowledge of:
• Formal syntax and semantics
• Corpus analysis
• Dialogue management
• Strong written communication skills
• Strong problem-solving ability and willingness to learn emerging technologies

Nice-to-Have Skills

• Understanding of conversational UI and voice-based processing (Text-to-Speech, Speech-to-Text)
• Experience building voice apps for Amazon Alexa or Google Home
• Experience with Test-Driven Development (TDD) and Agile methodologies
• Ability to design and implement end-to-end pipelines for AI-based conversational applications
• Experience in text mining, hypothesis generation, and historical data analysis
• Strong knowledge of regular expressions for data cleaning and preprocessing
• Understanding of API integrations, SSO, and token-based authentication
• Experience writing unit test cases as per project standards
• Knowledge of HTTP, REST APIs, sockets, and web services
• Ability to perform keyword and topic extraction from chat logs
• Experience training and tuning topic modeling algorithms such as LDA and NMF
• Understanding of classical Machine Learning algorithms and appropriate evaluation metrics
• Experience with NLP frameworks such as NLTK and spaCy

Strong Senior Camunda Developer / Workflow Orchestration Engineer Profiles

Mandatory (Experience 1) – Must have 4+years of hands-on experience in backend development and workflow systems, demonstrable through production-grade work on business process automation or backend service development.

Mandatory (Experience 2) – Must have strong hands-on experience with Camunda and BPMN 2.0, including designing, building, and deploying end-to-end business process workflows in production.

Mandatory (Experience 3) – Must have hands-on experience with Zeebe workers and the Camunda 8 stack, built and maintained as part of real orchestration systems.

Mandatory (Experience 4) – Must have strong production-level coding skills in Python, used for building and maintaining Zeebe workers and microservices.

Mandatory (Experience 5) – Must have experience designing and working within microservices architecture and distributed systems, with clear understanding of service decomposition, inter-service communication, and distributed system failure modes.

Mandatory (Experience 6) – Must have hands-on experience building and consuming REST APIs and working with event-driven systems (message brokers, pub/sub, event streams).

Mandatory (Skills) – Must have strong debugging and problem-solving skills in production workflow environments, with specific examples of resolving complex issues such as stuck processes, race conditions, or data inconsistency bugs.

Preferred

We are hiring an Associate Technical Architect with strong expertise in Azure-based data platforms to design scalable data lakes, data warehouses, and enterprise data pipelines, while working with global teams.

Key Responsibilities

• Design and implement scalable data lake, data warehouse, and lakehouse architectures on Azure
• Build resilient data pipelines using Azure services
• Architect and optimize cloud-based data platforms
• Improve large-scale data processing and query performance
• Collaborate with engineering teams, QA, product managers, and stakeholders
• Communicate technical roadmap, risks, and mitigation strategies

Must-Have Skills:

• 6+ years of experience in Azure Data Engineering / Data Architecture

Azure Data Platform

• Experience with Azure Data Factory
• Hands-on with Azure Databricks and PySpark
• Experience with Azure Data Lake Storage
• Knowledge of Azure Synapse or Azure SQL for data warehousing

Programming & Data Skills

• Strong programming skills in Python and PySpark
• Advanced SQL with query optimization and performance tuning
• Experience building ETL / ELT data pipelines

Data Architecture Knowledge

• Understanding of MPP databases
• Knowledge of partitioning, indexing, and performance optimization
• Experience with data modeling (dimensional, normalized, lakehouse)

Cloud Fundamentals

• Azure security, networking, scalability, and disaster recovery
• Experience with on-premise to Azure migrations

Certification (Preferred)

• Azure Data Engineer or Azure Solutions Architect certification

Good-to-Have Skills

• Domain experience in FSI, Retail, or CPG
• Exposure to data governance tools
• Experience with BI tools such as Power BI or Tableau
• Familiarity with Terraform, CI/CD pipelines, or Azure DevOps
• Experience with NoSQL databases such as Cosmos DB or MongoDB

Soft Skills

• Strong problem-solving and analytical thinking
• Good communication and stakeholder management
• Ability to translate technical concepts into business outcomes
• Experience working with global or distributed teams

Open position with National IT Distributor company For Bangalore:

1. Channel Sales in Fortinet or related Cyber Security Products
2. Channel Sales in Trellix or related Networking and Cybersecurity Products portfolio
3. Channel Sales in Alteryx or related Data Analytics Products
4. Presales for Trellix or related Networking and Cybersecurity Products portfolio
5. Channel Sales for Software

Location : Bangalore , Relocation candidates - Pls dont apply

Mode of Working: Work Form Office

Days of Working: 6 days a week (First 2 Saturdays are off and 3rd and 4th Saturdays are half days)

Channel Sales :

Experience: Miniumum 3 yrs in Channel Sales

Objective:

• The Channel Account Manager will be part of the sales team and will work closely with Partners, OEM Sales Team and Business Team at Head office to develop the business.
• He or she has to be committed and proactive to work with our sales teams and manage big as well as Run Rate SMB deals.
• The role will focus on delivering measurable results including increased revenue, market share.
• Ensure channels comply to Partner Program accreditation levels.
• Balance short term initiatives with longer term development.
• Enable sales and pre-sales people to be successful

Key Responsibilities

• Manage partners and selected end users in the region
• Build revenue and non-revenue business plans with these partners.
• Provide ongoing sales and technical trainings to these partners.
• Build marketing plans to drive incremental sales pipeline and revenues with development funds.
• Act as key channel strategist to regional sales managers within region.
• Partner with Savex and Fortinet / Trellix / Alteryx marketing teams to drive revenue growth within region.
• Provide geographic channel coverage for the region
• Carry quarterly and annual revenue targets.

Presales:

Experience: 2 Yrs in Presales / Implementation

We are looking for a technically strong Pre-Sales Specialist – Networking and Cybersecurity tools Portfolio to enable channel sales teams and partners with technical expertise in networking and cybersecurity tools.

Key Responsibilities

• Provide technical expertise for the Networking and Cybersecurity Products portfolio to partners and customers.
• Support channel sales with demos, POCs, and solution architecture design.
• Enable partners through technical workshops, training sessions, and enablement programs.
• Assist in developing technical proposals, RFP responses, and solution documentation.
• Work closely with OEM technical teams to keep up to date with product features and roadmaps.
• Support partners in articulating technical value propositions to customers.
• Represent Trellix in partner forums, events, and regional engagements to strengthen brand visibility.

Role: .Net Developer

Experience Level: 4 to 9 Years

Work location: Mumbai, Bangalore, Trivandrum (Hybrid)

Key Responsibilities:

● Develop and maintain scalable .NET microservices for diverse client projects

● Implement robust Web APIs with proper error handling, validation, and security

● Write comprehensive unit and integration tests ensuring high code quality

● Design portable, efficient solutions deployable across different client environments

● Collaborate with cross-functional teams and client stakeholders

● Optimize application performance and implement caching strategies

● Implement security best practices for enterprise applications

● Participate in code reviews and maintain coding standards

● Support deployment and troubleshooting in client environments

Must have skills:

Core Technical Expertise:

● .NET Framework/Core: 4+ years of production experience with .NET Core 3.1+ / .NET 5+ and C# 8+

● Frameworks: Strong hands-on experience with ASP.NET Core Web API, Entity Framework Core

● REST API Development: Proven experience designing and implementing RESTful web services, middleware

implementation

● Design Patterns: Solid understanding and implementation of SOLID principles, Dependency Injection, Repository

pattern

● Testing: Experience with unit testing (xUnit, NUnit, MSTest), mocking frameworks (Moq), integration testing

Microservices & Deployment:

● Containerization: Hands-on Docker experience for packaging and deploying .NET applications

● Microservices Architecture: Understanding of service decomposition, inter-service communication, distributed

systems

● Abstraction & Portability: Configuration management (appsettings.json, IConfiguration), environment-agnostic design

● Package Management: NuGet package management, understanding of project dependencies

Good to have have skills:

Advanced Technical:

● Advanced Frameworks: .NET 6/7/8, Minimal APIs, gRPC, SignalR for real-time communication

● ORM & Database: Advanced Entity Framework Core, Dapper, database migrations

● Orchestration: Kubernetes, Docker

● Cloud Platforms: Azure (App Service, Functions, Service Bus), Alibaba, or GCP services

● Message Brokers: Azure Service Bus, RabbitMQ, Apache Kafka

● Databases: Both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra)

● API Gateway: Azure API Management, Kong API Gateway

Development & Operations:

● CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions)

● Monitoring & Observability (Application Insights, Serilog, Prometheus)

● Security best practices (HTTPS, CORS, input validation, secure coding)

● Background Services (Hosted Services, Hangfire, Quartz.NET)

Profile - Databricks Developer

Experience- 5+ years

Location- Bangalore (On site)

PF & BGV is Mandatory

Job Description: -

* Design, build, and optimize data pipelines and ETL/ELT workflows using Databricks and

Apache Spark (PySpark).

* Develop scalable, high performance data solutions using Spark distributed processing.

* Lead engineering initiatives focused on automation, performance tuning, and platform

modernization.

* Implement and manage CI/CD pipelines using Git-based workflows and tools such as

GitHub Actions or Jenkins.

* Collaborate with cross-functional teams to translate business needs into technical

solutions.

* Ensure data quality, governance, and security across all processes.

* Troubleshoot and optimize Spark jobs, Databricks clusters, and workflows.

* Participate in code reviews and develop reusable engineering frameworks.

* Should have knowledge of utilizing AI tools to improve productivity and support daily

engineering activities.

* Strong knowledge and hands-on experience in Databricks Genie, including prompt

engineering, workspace usage, and automation.

Required Skills & Experience:

* 5+ years of experience in Data Engineering or related fields.

* Strong hands-on expertise in Databricks (notebooks, Delta Lake, job orchestration).

* Deep knowledge of Apache Spark (PySpark, Spark SQL, optimization techniques).

* Strong proficiency in Python for data processing, automation, and framework

development.

* Strong proficiency in SQL, including complex queries, performance tuning, and analytical

functions.

* Strong knowledge of Databricks Genie and leveraging it for engineering workflows.

* Strong experience with CI/CD and Git-based development workflows.

* Proficiency in data modeling and ETL/ELT pipeline design.

* Experience with automation frameworks and scheduling tools.

* Solid understanding of distributed systems and big data concepts

Service / Sales Associate

Work from office

Working Days: 6 days (1 rotational off)

Shift: Rotational | 10:00 AM – 7:00 PM

Eligibility

* Minimum 12th Pass/Graduate

* Fresher or 1 year experience required

* Good communication in English & Hindi

* Immediate joiners preferred

Salary

* CTC: ₹18000/- ₹30000 /-

* Take Home: ₹22,000

Interview Process

* HR Round

* Versant Test

* Operations Round

* Client Round

Job Type: Full-time

Work Location: In person

About Us: With a mission to upgrade the digital marketing industry with profound practical expertise and innovation, InSnap Technologies started its operations in 2018. Founded as a subsidiary of Spokesly INC based out of California, USA). InSnap has grown to be a family of some of the best talent from around the world who empowered thousands of businesses of achieve their digital marketing goals. Powered with business intelligence data, vision, and out-of-the-box thinking, InSnap provides novelty solutions and tools to rest all the digital marketing worries for a B2B enterprise.

Role: Business Development Associate

Location: 747, Pooja Bulding,80 Ft road 4th Block, Koramangala, Bangalore,Karnataka-560034



Job Type: Full-Time, Night Shift

Eligibility Criteria:

• Graduate (Any stream). Minimum 1 year experience in inside sales/business development with revenue-based responsibilities for the US/UK market.
• Excellent communication, discovery, customer service and presentation skills (written and verbal) to persuasively connect with senior level decision makers.
• High level of proficiency in Microsoft Suite applications (Word, PowerPoint, Excel, Outlook) Proven ability to maintain a steady pipeline for short/mid/long term sales goal.

Key Responsibilities:

• Demonstrate effective selling skills and product understanding to uncover customer needs to position an appropriate solution.
• Update and create tailored client proposals and negotiate further to close the deals.
• Understand, monitor, and evaluate industry trends and customer drivers.
• Manage proposal response process, including detailed RFP requirements, content creation, and inputs from various sources.
• Nurturing accounts and contacts through various mediums of communication.
• Develop and implement overarching sales and business development strategy, sales processes, structure, and best practices across the company.
• Support deal structure and pricing with business value analysis; negotiate prices for proactive bids and proposals. 

📌 E-commerce Manager

🔹 Job Summary

E-commerce Manager is responsible for managing and growing a company’s online sales, website, and digital presence. The role focuses on increasing revenue, improving customer experience, and optimizing online operations.

🔹 Key Responsibilities

• Develop and execute e-commerce strategies to increase sales and market share
• Manage day-to-day operations of the online store (website, product listings, pricing)
• Monitor website performance, traffic, and conversion rates
• Plan and run digital marketing campaigns (SEO, SEM, social media, email marketing)
• Analyze sales data and customer behavior to improve performance
• Coordinate with IT, marketing, logistics, and customer service teams
• Manage inventory, product catalog, and promotions
• Ensure smooth customer journey and high satisfaction levels
• Track competitors and market trends

🔹 Required Skills

• Strong knowledge of e-commerce platforms (Shopify, Amazon, etc.)
• Digital marketing (SEO, PPC, social media)
• Data analysis & tools (Google Analytics, Excel)
• Project management & leadership skills
• Problem-solving and decision-making ability
• Communication and teamwork