
Role: Sr HR Generalist
Needed: Fluent English Communication Must
Experience: 4–5 years
Salary: As per Market Standards
Job Type: Full-time
Location: Ahmedabad
Company:Clapstick Media
We need a Senior HR Executive who can independently manage recruitment, employee coordination, HR operations, and payroll with accuracy and ownership.
KEY RESPONSIBILITIES
· Manage end-to-end recruitment, interview coordination, onboarding, and exit formalities.
· Handle attendance, leaves, late marks, overtime, deductions, incentives, advances, and salary inputs.
· Manage monthly payroll coordination with accounts/management with proper accuracy and confidentiality.
· Maintain employee records, HR documentation, offer letters, appointment letters, warning letters, and experience letters.
· Track employee discipline, punctuality, reporting, workplace conduct, and support management in HR processes.
MUST-HAVE SKILLS
· Strong practical knowledge of payroll is mandatory.
· Good experience in recruitment and employee coordination.
· Good command over English communication.
· Strong knowledge of MS Excel, Google Sheets, email, and basic HR reporting.
· Mature, organized, responsible, and able to work independently.
PREFERRED CANDIDATE
Experience in a startup, media, creative, sales, digital, IT, or service-based company will be preferred.

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About My Client Company
We're building the learning infrastructure that transforms AI agents into true digital workers. While today's agents can reason and plan, they fail to do meaningful work because they lack real experience operating in apps. My Client Product gives agents continuously improving, reusable skills across 1000+ production-grade app connectors including Gmail, Linear, and Hubspot. We handle authentication, tool routing, retries, failure handling, and observability, making every action safe and dependable.
About the Role
Every enterprise is racing to make AI work — not as a demo, but as infrastructure that runs their business. My Client Product is becoming the critical layer that makes this possible: the platform that connects AI agents to 250+ real-world applications with production-grade auth, execution, and reliability.
We've built this for the cloud. Now we need to build it for the enterprise — and that means rethinking the platform from the ground up with the right abstractions, primitives, and architectural decisions that let us serve a massive, diverse set of enterprise customers without bespoke engineering for each one. This is a founding role.
Your Impact
- Agent infrastructure platform: The foundational layer that enterprise AI agents run on — governance, observability, and control planes for MCP-powered agent ecosystems. You'll define how organizations monitor, audit, and manage AI agents operating at scale across their systems
- The integration gateway: The secure, reliable bridge between an enterprise's AI agents and the outside world — every SaaS tool, internal system, and API they need to act on. Not just connectors, but a platform-grade gateway with the right trust, permissioning, and routing primitives
- Platform primitives for scale: Multi-tenancy, isolation, configuration, and extensibility abstractions that let Composio serve thousands of enterprise customers without linear engineering cost
- Enterprise-grade architecture: Deployment flexibility, security, and compliance as first-class platform capabilities — not bolted-on afterthoughts
- The repeatable deployment motion: Turn enterprise onboarding from a services engagement into a product experience. Shorter cycles, fewer custom touches, more self-serve
What you bring
- You've built platforms at genuine scale — not just high user counts, but high complexity: many customer types, deployment models, and integration surfaces
- You think in abstractions and primitives. Your instinct is to find the right foundational model, not to solve each problem individually
- You've shipped enterprise product capabilities (deployment flexibility, security, admin tooling, compliance) and understand them as product problems, not just checkboxes
- You've built or shipped an AI product — or you're the person who can't stop tinkering. You're building agents on weekends, stress-testing the latest models, experimenting with MCP, and forming your own opinions on where agent architectures are headed. You have a point of view on this space, not just a resume line
- You're a force multiplier. When you join a team, the entire product moves faster because the platform decisions are right
Skills & Expertise
Platform Engineering, AI Infrastructure, Agentic AI, AI Agents, MCP (Model Context Protocol), Distributed Systems, Enterprise Architecture, Multi-Tenant Architecture, Backend Platform Engineering, Enterprise SaaS, API Platform Engineering, Integration Platforms, SaaS Connectors, Cloud Infrastructure, AWS, GCP, Kubernetes, Docker, Terraform, Microservices, Event-Driven Architecture, API Gateway, OAuth 2.0, RBAC, IAM, Observability, OpenTelemetry, Prometheus, Grafana, Reliability Engineering, SRE, Python, Golang, Node.js, TypeScript, REST APIs, GraphQL, AI Orchestration, LLM Infrastructure, LangChain, LangGraph, OpenAI APIs, Claude APIs, RAG, Workflow Automation, AI Tool Routing, Enterprise Security, Compliance Engineering, Deployment Architecture, Configuration Management, Extensible Systems, Scalability Engineering, High-Scale Systems, Technical Strategy, Platform Primitives, Developer Platforms, Enterprise Integrations, Infrastructure Engineering, Founding Engineer Mindset.
This role demands deep platform thinking. You've designed systems where the abstractions were the product — where getting the primitives right meant the difference between a product that scales and one that drowns in customer-specific code.
You've done this within large organizations and seen what "enterprise-grade" actually means when thousands of teams depend on your platform. But you've also operated in environments where you had to build fast, make tradeoffs, and ship before the architecture was perfect.
The combination matters. Big-company pattern recognition with small-company intensity.
What We Offer
- Lunch and dinner are provided in the office
- $200/month learning and development budget
- $1,000/month AI tool experimentation budget to automate, accelerate, and improve how you work
- High-ownership role with direct exposure to leadership and company-building decisions
- Competitive salary and equity
Job Description:
Role: Senior Backend Developer
Mode of work: WFO
Supercharge Your Career as a Senior Backend Developer at Technoidentity!
Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 13 years—and we’re expanding globally. It’s the perfect time to join our team of tech innovators and leave your mark!
What’s in it for You?
We are looking for a highly motivated Senior Backend Developer with 4-6 years of experience to join our team. The ideal candidate will have strong backend development expertise, a deep understanding of distributed systems, and a high sense of ownership. This role requires working independently on POCs and projects while also mentoring junior team members and enabling scalable delivery.
What Will You Be Doing?
- Design, develop, and maintain scalable backend systems and services.
- Work independently on project implementations and backend solution development.
- Implement distributed architecture design patterns to build reliable and high-performance systems.
- Collaborate with cross-functional teams to deliver robust backend solutions.
- Guide and mentor junior developers, ensuring quality implementation and adherence to best practices.
- Participate in system design discussions, code reviews, and technical decision-making.
- Ensure high ownership in delivering solutions aligned with project timelines and goals.
What Makes You the Perfect Fit?
- 4-6 years of backend development experience with strong expertise in Java or Go,
- Hands-on exposure to distributed systems, and solid knowledge of PL/SQL, with the ability to work independently and take high ownership of deliverables.
- Strong problem-solving and critical thinking abilities.
- Experience working with distributed systems and architecture design patterns.
- Strong database development skills with PL/SQL.
- Excellent team coordination and collaboration skills.
- High sense of ownership, accountability, and commitment towards project delivery.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field is required.
Good to Have Skills
- Exposure to Cloud platforms (AWS or GCP).
- Understanding of Frontend technologies or DevOps practices.
- Experience with workflow orchestration tools such as Temporal or similar platforms.
Work Requirements:
- Willingness to work in US or flexible shift timings based on project requirements
- Ability to work independently on POCs/projects and help scale additional pods of work
- Guide and direct junior team members to ensure proper implementation
About Us
We are a high-growth startup building products at scale that impact millions of users daily. As we prepare for the next phase of growth, data will be at the heart of every decision — powering product, marketing, operations, and finance. We are looking for a Director of Analytics to lead the charge in shaping our data strategy, building scalable infrastructure, and creating a high-performing analytics organization.
Role & Responsibilities
As the Director of Analytics, you will:
- Lead the next generation of our Data Mart: Redesign and optimize data models to support large-scale analytics and faster decision-making.
- Define the tools & frameworks for data creation, transformation, and consumption across the company.
- Build unified data views: Integrate behavioral and transactional data into structured, query-optimized flat tables that support diverse analytics use cases.
- Own analytics across mobile, web, marketing, product, and operations data streams, ensuring consistent data definitions and scalability.
- Partner with product, marketing, CRM, operations, and finance teams to ensure data is democratized and actionable.
- Establish data governance, quality standards, and best practices for the org.
- Drive adoption of self-service analytics and empower teams with the right dashboards, reporting, and insights.
- Introduce and scale ML-driven insights: Collaborate with product and engineering to enable use cases like personalization, predictive modeling, and anomaly detection.
- Build and mentor a cross-functional analytics team spanning business/operations analytics, marketing/CRM analytics, and product/finance analytics.
- Partner with engineering leadership to ensure scalability, reliability, and efficiency of the data infrastructure.
What We’re Looking For
- Experience: 8+ years in data & analytics leadership, with proven success in building data marts and defining enterprise-wide data consumption strategies.
- Strong track record of running analytics across mobile, web, marketing, product, and operations data ecosystems.
- Deep technical expertise in data modeling, flat table structures, and query optimization for large-scale systems.
- Hands-on experience with both behavioral and transactional data, and integrating them into a single analytics layer.
- Strong knowledge of modern data stack (SQL, ETL/ELT, cloud data warehouses like Snowflake/BigQuery/Redshift, BI tools like Looker/PowerBI/Tableau).
- ML Competency: Familiarity with machine learning workflows (data pipelines for ML, feature engineering, model monitoring) and ability to guide data scientists in building predictive/ML models.
- Proven ability to build and scale analytics teams, with experience in functions such as business/operations, marketing/CRM, and product/finance analytics.
- Strong business acumen — ability to translate data into actionable insights for growth, retention, and efficiency.
- Excellent stakeholder management and communication skills, comfortable influencing at the CXO level.
KPIs / Success Metrics
Success in this role will be measured by:
- Data Infrastructure & Scale
- Launch of next-gen data mart within defined timelines.
- Reduction in data processing and reporting times (e.g., <5 mins refresh for key dashboards).
- Uptime and reliability of data pipelines and consumption layers.
- Adoption & Impact
- % of org actively using self-service analytics tools.
- Increase in cross-team usage of standardized data views (product, marketing, finance, operations).
- Reduction in ad-hoc analytics requests due to robust self-service solutions.
- Data Quality & Governance
- % improvement in data accuracy and consistency across sources.
- Establishment and adoption of data governance frameworks.
- Team & Leadership
- Successful hiring and scaling of a multi-disciplinary analytics team.
- Retention and growth of top talent within the analytics function.
Why Join Us?
- Opportunity to own the analytics vision of a company that is scaling rapidly.
- Build the next-gen data mart and analytics layer from scratch — a rare chance to define the foundation for years to come.
- Work on high-volume, high-velocity data across mobile, web, marketing, product, and operations.
- High visibility role, directly collaborating with founders and leadership.
- Build a world-class analytics team and shape the culture of data-driven decision-making
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?
- Requirements:
- · You have 8+ years of professional software engineering experience with a proven track record of shipping high-impact, scalable products.
- · You have architectural-level expertise in a modern programming language (TypeScript/JavaScript, Python, Go, or Java).
- · You have deep experience designing, building, and operating distributed systems in a cloud environment (AWS or GCP).
- · You are proficient in building and consuming web APIs (REST/GraphQL) and designing robust systems for caching (Redis) and asynchronous processing (message queues).
- · You have advanced expertise in designing, optimizing, and scaling SQL/NoSQL databases for high-traffic applications.
- · You are well-versed in CI/CD pipelines, Docker, and infrastructure-as-code (e.g., Terraform).
- · You thrive in ambiguity and can define technical roadmaps from vague business goals.
- · You communicate complex trade-offs clearly to both technical and executive stakeholders.
- · You champion operational excellence and influence how teams build, deploy, and maintain software.
- · Bonus skills: Advanced database optimization, distributed systems design, infrastructure-as-code expertise, or prompt engineering / LLM tooling experience.
- Job Description:
- Architect, own, and deliver complex, multi-quarter projects end-to-end, setting the technical vision for your domain.
- Identify and address architectural gaps, scale critical systems, and drive continuous improvements in performance, reliability, and scalability.
- Collaborate closely with product, design, and business leaders to translate ambiguous business goals into clear technical roadmaps and execution strategies.
- Establish and champion best practices for operational excellence — including monitoring, alerting, on-call preparedness, and incident response.
- Mentor and guide L1/L2 engineers, lead through high-quality design documents and code reviews, and elevate engineering standards across the organization.
- Work hands-on with our complete stack:
- Frontend: React/Next.js + TypeScript
- Backend: Node.js / FastAPI / Go
- Databases: Postgres, Redis (SQL/NoSQL)
- DevOps & CI/CD: Docker, GitHub Actions, AWS/GCP, Terraform, Kubernetes
- Observability & Monitoring: OpenTelemetry, Grafana/Prometheus, Sentry
- AI-native productivity: Cursor for daily development, copilots, and AI codegen tools
- Measure impact through:
- Outcome: Ownership of key product-area outcomes that drive top-level company metrics.
- Quality: Architectural improvements that enhance reliability, reduce defects, and accelerate delivery.
- Speed: Ability to unblock teams and drive progress on complex initiatives efficiently.
- Technical Leadership: Setting direction, defining standards, and influencing the broader engineering organization.
Recommendations:
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Role & Responsibilities
Extract insights from large datasets to support data-driven decision-making
Develop and automate routine dashboards for daily, weekly, and monthly KPI tracking
Conduct custom analyses to optimize user onboarding, activation, conversion, and retention funnels
Cohort users and track actual and predicted Lifetime Value (LTV)
Build forecast models and create meaningful alerts for business leaders
Collaborate with cross-functional teams to define short and long-term strategic focus areas
Provide actionable insights and recommendations to relevant teams
Create, standardize and maintain documentation frameworks and taxonomy across businesses
Ideal Candidate
Expertise in data analysis tools (SQL, Excel, Python, R), dashboard creation and visualization platforms (Tableau, Power BI among others) for effective reporting at various organizational levels
Excellent communication skills with the ability to influence stakeholders at all levels with the agility to work autonomously and collaboratively within a team environment
Proven ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders
Strong background in statistical analysis and experimental design for robust hypothesis testing
Experience with A/B testing tools and methodologies in digital product environments
Skill in creating and maintaining comprehensive documentation systems
JOB DESCRIPTION: ANDROID DEVELOPER
We are seeking an Android Developer to help guide Remitbee into the future. In this role, you will be given an opportunity to help build and improve Remitbee android applications and business solutions alongside a small, but mighty team. We have interesting products and services planned for the future and want to add an Android developer to our talented team to lead the product development initiatives. If you are passionate about building Android apps for global clients and also to build your bright career, Remitbee is the place for you. We will provide a professional and respectable working environment along with tremendous opportunities.
Key Responsibilities:
· Work with product owners and user experience teams to build high quality features that make users love our app by leveraging your knowledge in Android’s Material Design guidelines
· Develop software that are reliable, maintainable and reusable because you have a thorough understanding of OOD principles
· Stay current and competitive by keeping up-to-date with the latest Android platform capabilities and make relevant recommendations
· Be mindful of best practices when it comes to securing data-in-transit and data-at-rest because your code protects our customer’s data.
Required Skills/ Qualifications:
· 3+ years experience developing native Android applications and 3+ years Kotlin experience (past co- op, personal projects, work experience, and more)
· Understanding of Hilt code structure.
· Thorough understanding of Object Oriented Programming concepts, Android application architecture and software design patterns
· Experience with Android libraries and best practices when it comes to communicating with GraphQL and REST web services.
· Hands on experience in Jetpack Compose.
· Strong communication skills, ability to collaborate with stake-holders at different levels of abstraction (requirements, architecture and code)
· Understanding of Agile Methodologies
· Basic knowledge of writing unit tests.
Preferred Qualifications:
· Knowledge of new and upcoming sdk components in the Android space
· Good understanding of design patterns such as MVVM, Clean architecture.
· Securing data using the Android Keystore
Job Description:
- Design, implement and deliver custom solutions using the existing robotics framework.
- Debug issues, do root-cause analysis and apply fixes.
- Design and implement tools to facilitate application development and testing.
- Participate in architectural improvements.
- Work with team members in deployment and field testing.
Requirements:
- Bachelor Degree / Masters in Engineering (ECE or CSE preferred)
- Work experience of 3+ years in software programming.
- Proficiency in Python programming for Linux based systems.
- Full understanding of software engineering.
- Basic Knowledge of Robot Operating System(ROS) is a plus.
- Good understanding of the algorithms and control loops.
- Working knowledge of Git: creating, merging branches, cherry-picking commits, examining the diff between two hashes. Advanced Git usage is a plus.
- Knowledge of video streaming from edge devices is a plus.
- Thrive in a fast-paced environment and have the ability to own the project’s tasks end-to-end with minimum hand-holding
- Learn and adapt new technologies & skills. Work on projects independently with timely delivery & defect free approach.
- Minimum 2 years of experience in Core PHP , and hands on experience in any MVC Framework.
- Should have hands on experience or knowledge in PHP Frameworks like Codeigniter/ Laravel/ CakePHP/ Yii .
- Should have knowledge about OOPS Concept.
- Good knowledge in HTML, AJAX, JQuery & MYSQL.
- Minimum 2 years of experience in Core PHP , and hands on experience in any MVC Framework.
- Should have hands on experience or knowledge in PHP Frameworks like Codeigniter/ Laravel/ CakePHP/ Yii .
- Should have knowledge about OOPS Concept.
- Good knowledge in HTML, AJAX, JQuery & MYSQL.
Job Responsibilities
We are looking for Backend Developer who can move fast, are capable of breaking down and solving complex problems, and have a strong will to get things done.
Experience & skills required:
- Bachelor’s Or Master’s in computer science
- 1-3 years proven work experience, or demonstrated ability
- Significant experience in building secure, scalable RESTful APIs in NodeJs
- Understanding of Web services
- Strong troubleshooting and performance tuning skills for all layers of a web application.
- Proficient understanding of code versioning tools, such as Git
- Experience with multiple technology stacks on web and mobile
- Experience in different types of integrations like POS, PMS, Payment gateway, SMS gateway is a plus.












