About Affinity:
Affinity is pioneering new frontiers in AdTech: developing solutions that push past today’s limits and open new opportunities. We are a global AdTech company helping publishers discover better ways to monetize and enabling advertisers to reach the right audiences through new touchpoints. Operating across 10+ markets in Asia, the US, and Europe with a team of over 575 experts, we are building privacy-first ad infrastructure that opens opportunities beyond the walled gardens.
Position: Associate Manager, Product
Type of role: Team Contributor
Work Location: Mumbai
Role Overview
You are a talented, intellectually curious product thinker who thrives at the intersection of technology and business. In this role, you will contribute to the product strategy and execution for AI-powered features within our Advertising and Monetization Products. You will partner closely with AI/ML engineers, product leaders, and engineering teams to translate emerging AI technologies into innovative solutions that drive measurable impact. This is a hands-on role where you will own projects end-to-end, from problem discovery through launch and iteration. You will have direct exposure to product strategy, customer conversations, and technical decision-making. If you're intellectually ambitious, passionate about AI, and eager to accelerate your growth in a high-ownership environment, this role will challenge and develop you.
Key Responsibilities
Product Discovery & Strategy:
- Identify opportunities where AI/LLM technologies (agentic systems, RAG, semantic understanding, generative capabilities) can solve real customer problems in advertising and monetization.
- Conduct customer research, interviews, and data analysis to validate product hypotheses; synthesize findings into clear product recommendations.
- Collaborate with senior product and engineering leaders to define requirements, scope features, and build the product roadmap.
- Stay current with AI advancements; evaluate emerging models, techniques, and tools for potential application to AdTech use cases.
Hands-On Product Development:
- Own the full development cycle for assigned projects: discovery, requirements gathering, PRD creation, user story specification, design collaboration, and launch.
- Work directly with AI/ML engineers and backend teams to understand technical constraints, feasibility, and design trade-offs.
- Create wireframes, flowcharts, and product specifications that clearly articulate feature behavior and user workflows.
- Define success metrics and measurement frameworks; establish baseline expectations before launch and track performance post-launch.
Technical Engagement & Learning:
- Develop practical proficiency with AI/LLM tools and frameworks: hands-on experimentation with LLMs, prompt engineering, RAG implementations, and agentic workflows.
- Understand how transformers, embeddings, context windows, and model selection impact product design and user experience.
- Engage deeply with AI/ML engineers; ask sharp questions about model behavior, latency, cost, and edge cases.
- Prototype and validate ideas independently; comfort writing prompts, running experiments, and iterating quickly.
Cross-Functional Collaboration:
- Work with engineering, design, data, and business teams to scope work, manage dependencies, and drive execution.
- Translate technical concepts for non-technical stakeholders; represent customer needs to engineering teams.
- Support GTM teams (sales, marketing, customer success) with product enablement and customer-facing messaging.
- Participate in design reviews, technical planning, and product retrospectives; contribute thoughtfully to team decisions.
Required Experience & Skills
Educational & Professional Background:
- Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related technical discipline (IIT or equivalent tier-1 institution strongly preferred).
- 3-4 years of relevant experience in one or more of: Product Management, Product Operations, or Technical Program Management.
Product & Business Thinking:
- Strong foundational understanding of product development practices: user stories, requirements gathering, PRD writing, wireframing, and launch execution.
- Ability to think quantitatively; comfort with metrics, data analysis, and translating insights into recommendations.
AI/LLM Technical Proficiency:
- Hands-on familiarity with Large Language Models: practical experience using ChatGPT, Claude, N8N or similar tools; comfort experimenting with different prompts and techniques.
- Active engagement with AI tools, frameworks, or APIs (OpenAI API, LangChain, HuggingFace, etc.); not just theoretical knowledge.
- Basic understanding of how LLMs work: embeddings, tokenization, attention mechanisms, and why these matter for product design.
- Comfort with technical ambiguity; ability to learn new AI concepts quickly and ask informed questions.
Communication & Collaboration:
- Excellent written communication; ability to articulate ideas clearly in PRDs, design docs, and presentations.
- Strong interpersonal skills; collaborative mindset without need for formal authority.
- Ability to present complex ideas to diverse audiences (engineers, business stakeholders, customers).
This Role is Perfect If You:
✓ Graduated from IIT or equivalent tier-1 institution with technical depth
✓ Have 3-4 years in product, technical, or data-driven roles
✓ Are genuinely curious about AI and have experimented with LLMs, RAG, or agentic frameworks
✓ Think deeply about problems and challenge conventional wisdom
✓ Are excited by ambiguity and rapid iteration
✓ Want to be a founder or product leader; see this as a springboard for that journey
✓ Care deeply about customer problems and building products people love