Headline

Technical Product Manager | Building AI, Data & Platform Products | Ex-Software Engineer | MS Data Science | IIM

About

I'm a Technical Product Manager who turns messy inputs into decisions teams can act on, whether that's unreliable user behavior data, broken data pipelines, or noisy market research. I've shipped features, including an AI chatbot, for Dubs, a B2C social platform for gamers with 100k+ users, and more recently owned the roadmap for an internal data platform used by teams across the US and EMEA. Unlike PMs who rely on specs and frameworks written from a distance, I've written the code, built the data models, and sat in the user interviews myself, so my calls are grounded in what's actually true, not what's assumed.

Location

Greater Bengaluru Area

AI stack

claude code

claude

codex

cursor

elevenlabs

gemini

Work experience

Technical Product Owner | Data Products at Side, Dec 2025 - Present · 1 yr, - Diagnosed inefficiencies in spreadsheet-based reporting and led the shift to programmatic data models company-wide, improving reporting efficiency by 50% and shipping phase 1 of a 3-phase profitability model - Own the roadmap and delivery of a Power BI revenue intelligence platform used by US and EMEA teams to track pipeline, confirmed revenue, and budget variance across 1,600+ opportunities - Identified a gap in milestone and payment visibility and designed Sidekick from scratch, a tracking product that surfaced invoice bottlenecks across a global project portfolio - Partnered with Finance to translate IFRS 15 revenue recognition requirements into product logic, and prioritized a 100+ measure audit to resolve data trust issues across reporting - Led a 4-phase ETL initiative to automate a manual payroll workflow met with Finance and Engineering in person to gather requirements, documented workflow gaps, and built the roadmap that cut a 2-3 day process to ~1 hour - Introduced data product delivery standards (Jira planning, versioned BI releases, QA protocols, PRD templates), shifting the team from ad hoc builds to structured, repeatable delivery

Junior Technical Product Owner at Side, Jan 2024 - Dec 2025 · 2 yrs, Owned product for Dubs, a B2C social platform for gamers with 100k+ users: - Shipped features across media share, voice chat, tagging, stickers, and safe-photo workflows. - Shipped an AI chatbot feature within the app to support user engagement. - Researched competitors and proposed product improvements to leadership. - Defined feature logic, user flows, and UI requirements with design. - Worked with backend, mobile, and QA to validate feasibility and refine solutions. - Scoped channel scaling, voice-chat logic, and system behaviors with engineering. - Wrote PRDs, user stories, acceptance criteria, and edge cases. - Owned sprint planning, developer handoff, and cross-team alignment. - Set up Mixpanel tracking and defined event schemas with dev and DB teams. - Built dashboards and key metrics (DAU/WAU/MAU, activation, retention). - Analyzed funnels and user behavior to identify friction and improvements. - Supported QA, triaged bugs, and ensured release readiness. - Improved safety, reporting, and accessibility across the app.

Senior Software Developer at Side, Jan 2023 - Mar 2024 · 1 yr 3 mos

SDE - 1 at AirAsia Tech, Jan 2021 - Jan 2023 · 2 yrs 1 mo, Bengaluru, Karnataka, India, - Maintained REST APIs using Java 8/11, Spring Framework, and SonarQube - Led Image Optimization Project using OpenCV and scikit-learn, achieving 1:5 compression ratio and improved website speed - Developed automated Firestore bulk update script in Python on GCP - Redesigned RoomCard components with Redux Saga integration - Integrated Expedia Review Components using Redux Saga - Redesigned AirAsia Menu Component with Google Maps and Tripadvisor API integration - Built backend APIs with Mockito test cases and frontend components in React and React Native - Led Universal Search Widget Integration with unit tests; worked on Expedia API integration and bug fixes

Research Assistant at SmartBots, Aug 2020 - Sep 2020 · 2 mos, Bangalore, - Optimized ML/DL/NLP algorithms (Rasa, NLTK, LSTM, CRF) for intent classification - Identified the most memory-efficient and accurate method for intent pattern identification

Machine Learning Intern at AMZ Automotive, Apr 2020 - Jun 2020 · 3 mos, - Created and delivered training courses on Python, AI, Data Science, Deep Learning, and Image Processing - Led integration of image processing technology into autonomous car systems

Education

MBA, Masters of Business Adminstration, Indian Institute of Management Visakhapatnam

Masters in Data Science, Data Science, University of Colorado Boulder

Public links

nivedita-m.netlify.app: https://nivedita-m.netlify.app/