Academic Research Associate - Academic Writing

Mandatory (Experience 1) – Must have 6+ years of experience in Product Management, preferably in Retail / ERP platforms serving enterprise or mid-market customers.

Mandatory (Experience 2) – Must have strong hands-on experience in Retail ERP domain, with exposure to modules such as Inventory Management, Merchandising, Supply Chain, POS, Order Management, Retail Operations, or Omnichannel Retail systems.

Mandatory (Experience 3) – Must have proven experience driving product strategy and business outcomes, including measurable impact on product adoption, revenue growth, customer expansion, monetisation, retention, or customer experience improvements.

Mandatory (Experience 4) – Must demonstrate end-to-end product ownership including customer discovery, market research, PRD/MRD creation, roadmap definition, prioritisation, GTM alignment, launch strategy and post-launch performance tracking.

Mandatory (Experience 5) – Must have strong exposure to market-facing/outbound product management, including customer interactions, sales partnership, pricing discussions, product positioning and growth initiatives.

Mandatory (Experience 6) – Must possess strong understanding of Retail SaaS ecosystem and ERP products, with ability to identify product opportunities and convert customer problems into scalable product solutions.

Mandatory (Stability) – Candidate should have worked a minimum of 1.5–2 years in each organisation.

Mandatory (Company) – Candidates should be from Retail ERP / Retail SaaS / POS / Enterprise Retail Technology Product companies only.

About the Internship

Nexora Group is seeking motivated and analytical students who are passionate about Data Science, Artificial Intelligence, and Machine Learning. This internship offers hands-on experience working with real-world datasets, AI-driven technologies, predictive analytics, and data visualization techniques.

Interns will gain practical exposure to data analysis workflows, AI-powered solutions, and industry-oriented projects while developing skills that are highly valued in today's technology landscape. Nexora Group focuses on innovation and technology-driven solutions across AI, digital experiences, and emerging technologies.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured datasets.
• Perform Exploratory Data Analysis (EDA) to identify trends and patterns.
• Develop and evaluate Machine Learning models.
• Work with AI and Generative AI tools for data-driven solutions.
• Create dashboards, reports, and visualizations.
• Assist in predictive analytics and business intelligence projects.
• Document findings and present insights to mentors.
• Collaborate with team members on real-world projects.

Required Skills

• Basic knowledge of Python programming.
• Understanding of Data Science and Machine Learning concepts.
• Familiarity with Pandas, NumPy, and data visualization libraries.
• Basic understanding of statistics and data analysis.
• Knowledge of SQL is a plus.
• Strong analytical and problem-solving abilities.
• Passion for Artificial Intelligence and emerging technologies.

Eligibility

• B.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
• Students pursuing Data Science, Computer Science, AI, IT, Mathematics, Statistics, or related fields.
• Freshers and recent graduates are encouraged to apply.

What You Will Learn

✅ Data Analysis & Visualization

✅ Machine Learning Fundamentals

✅ Artificial Intelligence Applications

✅ Generative AI Tools & Techniques

✅ Predictive Analytics

✅ Business Intelligence Concepts

✅ Industry-Oriented Project Development

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on Industry Project Experience

✅ Professional Mentorship & Guidance

✅ Resume & LinkedIn Profile Enhancement

✅ Portfolio Development Support

✅ Exposure to AI & Data-Driven Technologies

What we're looking for

Hanomi builds software that automatically generates 2D engineering drawings from 3D CAD models. We've raised venture funding, have paying manufacturing customers across India and internationally, and just shipped drawing automation to production. We're a team of 8 engineers moving fast toward scaling this to thousands of drawings per day. You'll work on real parts that go to real factory floors - where a wrong dimension means a scrapped part and a missed shipment. It's demanding work with real accountability, but if you're the kind of person who gets fired up by solving hard problems across multiple technical domains and seeing a team ship consistently, you'll fit right in.

We're looking for a person to lead engineering execution. This role is on-site at our Bengaluru office.

You'll work directly with our CTO to turn product priorities into shipped software. This isn't a management-from-a-distance role - you'll plan sprints and hold people accountable, but you'll also roll up your sleeves to debug, brainstorm algorithmic approaches, and review PRs with enough depth to catch when something doesn't fit.

Engineering Lead:

In this role, you will:

Own engineering execution across the team:

·        Plan sprints, set timelines, track progress, and hold people accountable

·        Run gate reviews before production deploys and flag risks before they become misses

·        Coordinate between our algo team and platform team

·        Be the person who makes sure things ship by being close enough to the work to know when something's going wrong

Roll up your sleeves and build alongside the team:

·        Debug production issues together with engineers, not delegate and wait

·        Brainstorm algorithmic approaches and review PRs deeply enough to catch integration issues

·        Jump into the codebase when something's blocked, you're not above writing code to unblock a sprint

Bring technical depth across algorithms and platform:

·        Understand mechanical engineering concepts well enough to question whether an approach makes sense for different manufacturing processes

·        Have experience scaling platforms - deployment pipelines, reliability, monitoring, the infrastructure that keeps a product running for paying customers

·        Ideally have worked on desktop applications or integrations with CAD software APIs

Make the team better over time:

·        Give direct, specific feedback - including the uncomfortable kind

·        Know when an engineer needs clearer specs vs more autonomy vs a push

·        Identify process gaps and fix them without adding bureaucracy

Note given that we are a startup, the exact job match will depend on your skills and interest (there is always too much to do!).

Requirements:

·        5-7 years in software engineering, with experience leading teams of 5–10 engineers

·        Strong Python - comfortable reading and contributing to algorithm code

·        Experience scaling platforms that serve real customers with reliability requirements

·        Exposure to mechanical engineering or CAD/PLM domains - you don't need to be a mech engineer, but you should understand what an engineering drawing represents and why correctness matters

·        Desktop application development or API integrations with CAD software is a strong plus

·        You still enjoy building - this is a hands-on leadership role where you're expected to contribute technically

·        Startup experience preferred - you know the difference between useful process and process theater

Preferred Qualifications:

·        Background in 3D / manufacturing

·        Experience with computational geometry / 3D modelling workflows 

·        You've managed engineers who are deep specialists and earned their respect through technical credibility, not just title

·        You use AI tools in your daily workflow - Claude Code, Cursor

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?

About Wekan Enterprise Solutions

Wekan Enterprise Solutions is a leading Technology Consulting company and a strategic investment partner of MongoDB. We help companies drive innovation in the cloud by adopting modern technology solutions that help them achieve their performance and availability requirements. With strong capabilities around Mobile, IOT and Cloud environments, we have an extensive track record helping Fortune 500 companies modernize their most critical legacy and on-premise applications, migrating them to the cloud and leveraging the most cutting-edge technologies.

Job Description

We are looking for a skilled MongoDB Database Administrator (DBA) to support and maintain client database systems within our services organization. The MongoDB DBA will be responsible for managing day-to-day database operations, ensuring optimal performance, security, and availability of database environments. This role requires working closely with clients, stakeholders, and teams to resolve issues, implement changes, and deliver database solutions that meet business and technical requirements.

Location - Onsite Navi Mumbai

Employment Type: Full-time

Key Responsibilities:

• Install, configure, and manage MongoDB EA on-premise databases for applications, ensuring high availability and optimal performance.
• Implement and maintain MongoDB database clusters, including replica sets and sharded clusters, ensuring data distribution and fault tolerance.
• Perform regular database performance tuning and optimization to maximize query efficiency and reduce response time.
• Implement backup and recovery strategies to ensure data availability and minimize downtime.
• Monitor and troubleshoot MongoDB database issues, including performance bottlenecks, query optimization, and replication problems.
• Execute and support version upgrades and migrations.
• Document database configurations,and troubleshooting steps to maintain a comprehensive knowledge base.
• Provide guidance and troubleshooting support on MongoDB
• Provide regular updates to stakeholders on issue status.

Requirements:

• Proven work experience as a MongoDB Database Administrator, with a focus on setting up and managing MongoDB databases.
• Strong understanding of MongoDB architecture, including replica sets, sharded clusters, and data distribution.
• Proficiency in MongoDB database performance tuning and optimization techniques.
• Experience with MongoDB backup and recovery strategies, including point-in-time recovery and disaster recovery procedures.
• Knowledge of MongoDB security features and best practices for securing MongoDB databases.
• Familiarity with MongoDB monitoring and diagnostic tools, such as MongoDB Cloud Manager, Ops Manager, or third-party solutions.
• Strong problem-solving and troubleshooting skills, with the ability to identify and resolve complex database issues.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• MongoDB certifications (e.g., MongoDB Certified DBA) are highly desirable.
• Bachelor’s degree in Computer Science, Business, or related field with 5+ years of relevant experience.

Job Title: Inside Domestic & International Sales Executive

Company: Global Tenders Services Pvt. Ltd (TendersOnTime)

Location: Kandivali East, Mumbai, Maharashtra – 400101

Job Type: Full-time | Onsite | Work from Office

Shift: Day Shift (10:00 AM to 07:00 PM)

Weekly Offs: Alternate Saturdays Off & All Sundays Off

About the Company:

TendersOnTime, a division of Global Tenders Services Pvt. Ltd., is a leading B2B service provider, offering subscription-based access to global tenders, RFPs, and procurement notices. We help businesses across the globe stay ahead in government and public procurement.

Key Responsibilities:

Handle domestic and international B2B sales over the phone (telecalling).

Promote and sell subscription-based services to new and existing clients.

Maintain strong follow-up and customer support for leads generated.

Achieve monthly sales targets and performance-based KPIs.

Document all call details and maintain lead status in CRM systems.

Requirements:

Education: 12th Pass or Graduate (Any stream)

Experience:

Minimum 6 months to 3 years in Telecalling, Telesales, or Customer Support.

Freshers with excellent communication skills may also apply.

Age Limit: 19 to 35 years

Language Proficiency: Fluent in English

Gender: Male & Female candidates can apply

Compensation:

Salary: 15,000/- to 35,000/- per month (based on experience)

Incentives: Attractive performance-based incentives

Benefits:

Annual increment and appraisal policies

Health Insurance

Provident Fund (PF), Professional Tax (PT), and Employee State Insurance (ESI)

Selection Process:

Mode: Face-to-Face Interview

Timings: 10:30 AM to 05:00 PM

Days: Monday to Saturday

Who are we?

Founded with the mission to radically accelerate enterprises business transformation, JIFFY.ai’s intelligent platform empowers business users to adapt to change and innovate faster. We strive to create applications with delightful user experiences backed up by automated middle and back office capabilities. The platform employs the cognitive capabilities of no-code-based software development, Intelligent Document Processing, Natural Language Processing, RPA, Machine Learning, intuitive user interfaces and AI along with an overarching human-in-the-loop approach to power the next generation of enterprise applications. Explore further on www.jiffy.ai.

Roles & Responsibilities:

• Analyse process issues and gather related user requirements
• Develop appropriate solutions, primarily using the JIFFY.ai low code platform
• Obtain feedback from users and process stakeholders and implement improvements
• Develop training materials and train users
• Recommend and Develop Common Component development, integrations, and configurations

Educational Qualification: Bachelor's Degree required Degree in Computer Science or Management Information Systems OR equivalent external work experience.

Work Experience and Skills required:

• Good hands-on 3-5 years of experience in Java or similar application development
• Experience in OOPS, Model Driven Development. Knowledge of modern UI Technologies
• Knowledge and experience in any or some of the following disciplines is a very strong plus: REST API, Java, JavaScript, Xpath, CSS, HTML, relational databases, or Kubernetes
• Create Domain Model with associations between different entities along with inheritance concept.
• Implementation of the user roles for application and established application security.

What are the benefits and perks of working at JIFFY.ai?

• Hybrid Work : We have a hybrid working environment
• Programmes tailored for our people - People Development programmes, Appreciation programmes, Leadership & Mentorship programmes, Communication Programmes, Engagement programmes (JoyofJIFFYians)
• Mental & Physical Wellbeing - Free Mental health Platform and monthly Physical fitness workshops and challenges to promote overall wellbeing.
• We appreciate the efforts in bringing in top talents -Our people receive generous monetary benefits for successful referrals as a Referral Bonus.
• Grants- Different allowances and perks are designed to support and benefit JIFFYians.
• Medical Coverage, Retirement, and Parental Leave Plans for All Family Types

What you need to have:

Must skills:

Hands- on in the following:

• Java 8/J2EE
• Spring boot
• Gradle/Maven
• REST API
• ORM- hibernate/ JPA
• Unit Testing and Integration Testing- Junit/ TestNG

Good to have:

Hands-on in the following:

• CI/CD pipeline deployment
• Messaging- ActiveMQ/RabbitMQ/MQ
• DB2
• Kafka
• NoSQL framework exposure