Adda247 - Product Manager - AI & Data Platform

Role : AI & Data Product Manager Core Platforms

(MidSenior Level)

Experience : 59 years (with strong AI/Data exposure)

About the Role :

It, were building a common AI + Data platform that powers multiple products across test prep, learning, counselling, and growth. This role sits at the heart of that platform.

You will own AI-first products like :

- AI Voice Counsellors / Voice Bots

- Doubt Solvers (LLM + Retrieval + Agentic workflows)

- Agentic frameworks for operations, content, and growth

- Data-driven PLG systems (activation, retention, monetisation)

This is not a feature PM role.

This is a 0?1 and 1?10 platform role where ambiguity is high, stakes are real, and speed matters.

If youre looking for a structured backlog and fixed hours, this is not the job.

If you enjoy building things that didnt exist yesterdayyou will enjoy this journey.

What Youll Do :

1. Own AI & Data Products End-to-End

- Define product vision and roadmap for core AI and data layers

- Translate business problems into AI-first product opportunities

- Balance short-term impact with long-term platform thinking

2. Own Core Data Foundations & Data Products

- Design and evolve the core data architecture that powers analytics, PLG, and AI systems

- Own data planning across event schemas, source-of-truth definitions, and data contracts

- Define and manage data marts, feature stores, and semantic layers for business, growth, and AI use cases

- Establish canonical metrics, funnels, and KPIs across products and teams

- Ensure data is reliable, timely, explainable, and usablenot just collected

- Work with engineering to enforce data quality, lineage, and governance standards

- Close the loop between data ? AI outputs ? user behavior ? data systems

3. Build AI Products That Actually Work in Production

Ensure AI systems are built on strong data foundationsclean inputs, traceable outputs, and feedback loops into data systems

- Design and ship products using :

1. LLMs (prompting, fine-tuning, evaluation)

2. RAG systems

3. Voice AI (ASR, TTS, conversational flows)

4. Agentic workflows and orchestration :

- Work closely with ML, data, backend, and frontend teams to move fast

- Build for Bharat - masses & having real internet problems (patchy network, limited data)

4. Be the Glue Between Business, Data & Engineering :

- Partner with growth, sales, academics, and operations to identify use cases

- Convert fuzzy ideas into clear PRDs, system flows, and success metrics

- Make trade-offs between accuracy, cost, latency, and UX

5. Drive PLG Using Data & AI

- Design data flows that enable :

1. Activation nudges

2. Personalised journeys

3. Conversion & retention loops

- Define metrics, experimentation frameworks, and feedback loops

6. Ship Fast, Learn Faster :

- Run experiments, measure outcomes, iterate aggressively

- Kill ideas that dont work, double down on what does

- Own outcomes, not just outputs

What Were Looking For :

Must-Have Skills & Experience :

- 5 to 9 years of Product Management experience

- Strong experience in Data Products, AI Products, or Platform Products

- Hands-on understanding of :

1.LLMs, prompts, RAG, embeddings

2. ML/AI product lifecycle (training ? deployment ? monitoring)

3. Data pipelines, event design, data modeling, data marts, and analytics

4. Designing metrics, funnels, and experimentation frameworks on top of data warehouses/lakes

5. Understanding of how data quality, freshness, and schema decisions impact ML/AI outcomes

- Comfortable writing detailed PRDs, flows, and success metrics

- Ability to work in high ambiguity, low structure environments

Strongly Preferred :

- Experience with Voice AI / Conversational AI

- Built or shipped AI agents or workflow automation

- Worked in EdTech, SaaS, Media, Consumer Tech, or PLG businesses

- Prior startup or scale-up experience (fast growth, messy systems)

Mindset & Culture Fit (Non-Negotiable) :

- Builder mentality > slide-deck mentality

- Comfortable with long days when needed (this is not a 95 role)

- High ownership : my problem and problems waiting to be killed with AI mindset

- Curious about AI beyond headlinesactually tinkers

- Can challenge business, tech, and leadership with logic and data

- Bias for action, not perfection

What Youll Get :

- Opportunity to build AI systems used by millions

- Direct impact on revenue, growth, and user outcomes

- High visibility with leadership and founders

- Fast learning curve across AI, data, and business

- Competitive compensation + performance upside (for the right person)

Why This Role Is Hard (and Exciting) :

- Requirements will change

- Models will break

- Data will be messy

- Deadlines will be aggressive

- Youll often need to fix data foundations before AI can workand still deliver outcomes fast