Associate Product Manager

About the role 

Most QA teams test software. We want someone who builds a machine that gets better at testing software every time it encounters a bug. 

This is not a role for someone who "uses AI tools." This is a role for someone who thinks like an architect. You will design a QA system that is legible to machines — structured, documented, and self-improving — so that the knowledge of every bug ever found is permanently encoded, queryable, and feeds back into the next test cycle. The goal is simple: the longer you are here, the harder it should be for us to ship a bug. 

You will own quality for Cash, a digital lending app (short-term personal loans) on Android and web — and that ownership extends from the front end all the way through to the back end. 

You are the first QA hire. You will build this function from scratch. 

There is no existing QA process today. No tooling is chosen. No taxonomy exists. No team is in place. You are the founding hire for this function.

Your first 60 to 90 days will be spent laying the foundation: choosing the tools, defining the bug taxonomy, writing the first skills, and establishing what "done" means across the engineering org. Once that foundation is stable, you will define the team structure you need, propose it, and then lead the hiring yourself. The engineers who join QA after you will be hired because you decided you needed them. 

This is a founder-mode role inside an engineering team. It requires someone who is energised by a blank canvas, not someone who wants to inherit a mature process. 

If you have spent your career executing inside an established QA function and are looking for more of the same, this is not the right role. If you have wanted the mandate to build the system properly from day one and have never had it — this is that opportunity. 

What you will own 

The knowledge base 

Every bug you find — whether in QA or in production — gets documented in a structured, machine-readable format. Not just "what broke" but: what flow triggered it, what the borrower context was, what data state preceded it, what the expected behaviour was, what the actual behaviour was, and which class of error it belongs to. Over time, this becomes Cash's QA Wikipedia — a corpus that an LLM can read and use to generate new test cases, that a new engineer can query to understand failure patterns, and that you can analyse to find where the product keeps breaking. 

This is not documentation for its own sake. It is infrastructure. The test suite is only as good as the knowledge base behind it. 

Skills, not scripts 

For every recurring testing workflow — new feature regression, release smoke test, critical-path sanity check, payment flow validation — you will build a skill: a reusable,

prompt-able test protocol that is AI-executable. When a new engineer joins, they run the skill. When an AI agent is asked to help test a release, it reads the skill. The skill improves every time a bug gets through it. 

The feedback loop 

Every production issue must close the loop. When a bug is found in production, you trace back why the QA cycle did not catch it, update the relevant skill, and add the scenario to the knowledge base. No bug should be found in production twice for the same underlying reason. 

Coverage — front end and back end 

Front end (Android and web) 

● Onboarding and Know Your Customer — Aadhaar/PAN flows, video KYC, bureau pulls 

● Loan application and eligibility decisions — rule engine outcomes, edge cases across credit tiers 

● Disbursement — payment gateway integration, failure states, retry logic

● Repayment — in-app payments, auto-debit, partial payment handling

● Collections and dunning — overdue flows, notification logic, settlement scenarios

● Regulatory compliance — Reserve Bank of India guidelines on digital lending, fair practices code, key fact statement display 

● Cross-platform consistency — Android app and web admin panel 

Back end 

● API contract testing — request/response behaviour, error codes, edge-case inputs

● Rule engine validation — confirming that credit decisioning, eligibility, and pricing logic produces correct outputs for known borrower profiles, including boundary cases

● Data integrity checks — verifying that the right records are created, updated, or flagged after key events (disbursement, repayment, status transitions)

● Integration testing — bureau, KYC provider, payment gateway, and notification service behave correctly end-to-end 

● Regression on back-end changes — any service update, migration, or config change must pass a defined back-end test protocol before reaching production 

Failure-state and idempotency testing 

Disbursements and repayments involve real money. What happens if the payment gateway times out mid-disbursement? What happens if a repayment webhook is delivered twice? What happens when a bureau call fails mid-application? You will own failure-path and retry-logic testing explicitly — not as an edge case, but as a first-class part of every release cycle. 

Audit trail and logging validation 

Every significant event in the borrower lifecycle — application submitted, bureau pulled, decision made, loan disbursed, repayment received — must produce a correct, complete, and tamper-evident audit log. You will test that these logs are accurate. In a regulatory inquiry or a borrower dispute, the audit trail is the evidence. 

Security testing (functional) 

You will own a security testing checklist covering: whether borrower data is exposed in API responses or logs, whether sessions expire correctly, whether API responses are correctly scoped to the authenticated user, and whether error messages leak sensitive information. This is not a penetration testing mandate — that is a separate engagement — but functional security hygiene is part of every release. 

Notification and communication testing 

sends SMS, push notifications, and WhatsApp messages at specific borrower lifecycle triggers. You will test correct trigger conditions, correct content, correct recipient,

and correct timing — including the case where the same event should not produce duplicate messages. 

Performance and load testing 

You will own a baseline load test that runs before major releases — simulating concurrent loan applications, concurrent repayments, and peak traffic scenarios. A lending app that degrades under campaign load is a trust problem, not just a technical one. 

Feature flag and staged rollout validation 

Cash introduces features to specific segments (by tier, cohort, or geography), you will verify that flags work correctly — users outside the target segment do not see the feature, and partial rollouts do not produce inconsistent back-end states. 

What good looks like in 90 days 

● Tooling chosen and set up: test management, bug tracking, and at least basic CI/CD integration 

● A structured bug taxonomy with at least five top-level failure classes, each with sub-types and historical examples 

● A skills library covering the five highest-risk flows (loan application, disbursement, repayment, KYC, collections) 

● Every production bug from the past three months documented in the knowledge base with root cause and skill update 

● A release checklist — covering both front end and back end — that an AI agent can execute the first 80% of independently 

What good looks like in 12 months 

● The knowledge base has enough signal to answer: which part of the product produces the most bugs per sprint, which bug class most often escapes to

production, and whether the front end or back end is the higher source of production risk 

● New features ship with skills pre-written as part of acceptance criteria, not as an afterthought 

● Back-end engineers treat you as a partner in the definition of done, not a gatekeeper at the end of the cycle 

● You have hired at least one QA engineer and defined the roadmap for the rest of the team 

● A measurable reduction in production escape rate compared to the baseline when you joined 

What we are looking for 

Non-negotiable: 

● 3+ years in QA for a fintech or digital lending product — loan origination, payments, or collections 

● Experience testing both front-end and back-end services — API testing, database state validation, and integration testing must be in your toolkit, not stretch goals ● Comfort with failure-path and edge-case thinking — happy-path testers need not apply 

● Proven habit of writing documentation that others actually use — not as a compliance exercise but as a tool 

● Hands-on experience using LLMs (Claude, GPT-4, Gemini) to generate test cases, analyse logs, or review coverage gaps 

● Ability to write basic automation scripts in Python or JavaScript — you do not need to be a developer, but you need to be able to build and maintain simple automated checks 

Strong signal:

● You have built something like a bug knowledge base before — even informally — and can show us what it looks like 

● You have thought about the difference between documentation as a record and documentation as infrastructure 

● You have worked in an environment where a decision made by a system had a direct financial consequence for an end user, and you understood the stakes that came with that 

● You have hired or mentored QA engineers before 

Why this role is different 

Most QA roles are reactive. A bug is found, a ticket is filed, the developer fixes it, QA closes it. The institutional knowledge of why that bug happened lives in someone's head or in a comment nobody will read again. 

We want the opposite: a QA function that compounds. Every bug makes the next release safer. Every production incident makes the test suite smarter. The person who builds that system is not a tester. They are an engineer of quality infrastructure.

Why Join Us? 

● Work directly with Founders: Mikhil Innani, former co-founder of PharmEasy and ex-Product Head at Hotstar, and Diksha Nangia, a former banker and CFA Charterholder 

● Best of both worlds: startup speed + listed company stability 

● High ownership, strong learning curve, and direct business impact ● A fast-paced, collaborative culture that values innovation, ownership, and bold thinking

Learn More About Us 

● Annual Report 2024–25 

● Vision Video 

Remote Job Opportunity

Job Title: Data Scientist

Contract Duration: 6 months+

Location: offshore India

Work Time: 3 pm to 12 am

Must have 4+ Years of relevant experience.

Job Summary:

We are seeking an AI Data Scientist with a strong foundation in machine learning, deep learning, and statistical modeling to design, develop, and deploy cutting-edge AI solutions.

The ideal candidate will have expertise in building and optimizing AI models, with a deep understanding of both statistical theory and modern AI techniques. You will work on high-impact projects, from prototyping to production, collaborating with engineers, researchers, and business stakeholders to solve complex problems using AI.

Key Responsibilities:

Research, design, and implement machine learning and deep learning models for predictive and generative AI applications.

Apply advanced statistical methods to improve model robustness and interpretability.

Optimize model performance through hyperparameter tuning, feature engineering, and ensemble techniques.

Perform large-scale data analysis to identify patterns, biases, and opportunities for AI-driven automation.

Work closely with ML engineers to validate, train, and deploy the models.

Stay updated with the latest research and developments in AI and machine learning to ensure innovative and cutting-edge solutions.

Qualifications & Skills:

Education: PhD or Master's degree in Statistics, Mathematics, Computer Science, or a related field.

Experience:

4+ years of experience in machine learning and deep learning, with expertise in algorithm development and optimization.

Proficiency in SQL, Python and visualization tools ( Power BI).

Experience in developing mathematical models for business applications, preferably in finance, trading, image-based AI, biomedical modeling, or recommender systems industries

Strong communication skills to interact effectively with both technical and non-technical stakeholders.

Excellent problem-solving skills with the ability to work independently and as part of a team.

JOB DESCRIPTION

We are hiring an enthusiastic Business Development Executive with excellent communication and persuasion skills. As a BDE, you will be responsible for developing new business opportunities and managing client relationships. This entry-level position is ideal for recent graduates looking to start their careers in sales and business development.

Key Responsibilities:

• Becoming familiar with the company’s products and services.
• Attracting new clients through direct contact and collaboration with the marketing department.
• Researching to find and connect with prospective clients.
• Maintaining relationships with existing clients.
• Identifying new business opportunities.
• Developing and implementing new sales strategies to grow the business.
• Maintaining and updating sales and business development reports.
• Helping the marketing department with promotional projects.
• Negotiating with clients to secure deals at attractive prices.
• Reviewing clients’ feedback and making necessary changes
• Learn about the product and services of the company.
• Acquire new clients by selling our products.
• Meet the quarterly, monthly, and annual sales targets.
• Attend conferences, meetings, and events on the company’s behalf.
• Maintaining strong relationships with existing clients.
• Negotiate with clients and give them the best deals.
• Compile and analyze data to identify trends.
• Keep records of sales and revenue.

Required Skills & Qualifications:

• Freshers Can Apply. with strong Interpersonal Skills
• Any Bachelor’s degree (BTech, BCA, BE) preferred.
• Prior experience as a business development executive.
• Ability to generate revenue by identifying new business opportunities.
• Excellent written and verbal communication.
• Ability to convince potential clients.
• Familiarity with CRM tools.
• Ability to work well within a team.
• Extensive presentation skills.
• Excellent multi-tasking skills.

If you are passionate and want to work on exciting projects, send your resume to [ resume@webreinvent ] or visit [webreinvent.com] for more details.

 You have designed, refactored, re-architected, deprecated and/or implemented a webapp from start to finish.

 CSS and its pre-processors like SASS/LESS.

 Excellent command over web fundamentals

 Good understanding and experience in building a React app.

 Exceptional coding skills in HTML5, CSS3, Javascript/ES6

 Strong problem-solving and analytical skills

 Familiarity with benchmarking and optimization techniques

 Eye for animation and understanding of motion principles.

 Experience with Agile Development, SCRUM methodologies

 Experience in DevOps - AWS, S3, API Gateway, CI/CD

 Native development experience in React Native (Android and iOS)

 Experience in NodeJs

Additional Full-stack Skills Would Be a Huge Bonus:

 Experience with Mongo DB, Redis, Firebase, NodeJs and its framework/ libraries like Express.

 Experience with PostgreSQL.

 Experience in NoSQL (CouchDB, Cloudant, MongoDB) datastores.

 Experience in building (secure) RESTful services and MVC patterns.

 Experience in coding & hosting on GitHub.

Desired Skills and Experience

CSS,JavaScript,React.js

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Cloud Support Associate - Gurugram

Regular working days - Sunday to Thursday

Shift Timing - 9 AM to 5 PM

The database market is massive (the IDC estimates it to be $89B+ by 2024!) and MongoDB is at the head of its disruption. The MongoDB community is transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas, Cloud Manager (cloud.mongodb.com), Compass, etc to name a few.

Our Cloud Support Associates provide their exceptional analytical skills and customer service to ensure that MongoDB users are successful with our suite of MongoDB application-layer products. We’re looking for individuals who want to dig into the details of how “big data” and “web-scale” systems are successfully assembled and operated every day by organizations of every size and flavor.

Cloud Support Associates are a key part of our elite Technical Services organization that supports MongoDB customers worldwide, with teams in locations including New York, Austin, Palo Alto, Sydney, Delhi, Dublin and Tel Aviv.

If you’re passionate about the opportunity to get comfortable working with the cloud every single day and be part of a team that works at the frontier of SaaS services and database systems, this is the role for you.

Why MongoDB is a fantastic place to work and build your career

• Be a part of the company that’s reinventing the database, focused on innovation and speed
• Enjoy a fun, inspiring culture that is engineering focused
• Work with talented people around the globe
• Learn, contribute, and make an impact on the product and community

• Investigate customer’s technical issues to find solutions, discover and report bugs
• Technical troubleshooting, log and server analysis
• Customer support by cases or over the phone
• Gather feedback from customers and redirect it to sales, engineering, product and marketing teams

• A passion for solving customer problems
• Prior knowledge of AWS, or other public cloud
• General knowledge of OS (Linux, UNIX, Windows)
• A focus on customer service

• Foreign Language
• Previous Support Experience

To drive our employees' personal growth and business impact, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. https://www.mongodb.com/blog/channel/culture">Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.

*MongoDB is an equal opportunity employer*

Responsibilities

• Manage the SEO initiatives - strategising, planning and execution
• Define key metrics and SEO road map (including link building strategy)
• Review and analyse analytics and site traffic to gauge positive and negative changes
• Create and execute an SEO plan for the assigned categories to maximise traffic from the
  channel
• Plan SEO tests, collect and analyse data, identify trends and insights on search engine
  algorithms
• Collaborate with Content team to optimise copy and landing pages for search engine
  marketing
• Collaborate with the SEM team for keyword research and complementary campaigns
• Research, analyse and benchmark against competitor performance
• Create and maintain SEO performance dashboard to provide visibility for respective pages
• Communication to team and management on project development, timelines, and results.

What We are Looking for

• Proven track record of building top talent and high performance.
• A Team Player
• Experience managing large scale systems in competitive and rapid growth environments
• Master of on-page & off-page SEO
• Understand the co-relation of content & link-building.
• Who speaks the language of google webmaster & analytics
• Bachelor's degree with experience of 2 - 4 years in Digital Marketing domain.