Product Manager

About the Role and Team:

A hybrid Product Manager role embedded within the Data Science team. You'll own the product direction for ML-driven capabilities - bidding algorithms, traffic quality (fraud detection), and audience modeling - while maintaining the operational rigor required for MRC/TAG compliance. You'll be part of the broader PM community, following established practices and gradually expanding your scope.

We hope you are ready to change the game! Be ready to:

Product Management

Own and prioritize the Data Science team backlog; define user stories and acceptance criteria

Lead scopes where domain knowledge is primarily algorithm/ML-driven; support cross team scopes as a secondary PM

Participate in roadmap planning, sprint planning, and PM syncs, and uphold established PM ways of working - from templates and documentation standards to consistent communication and proactive

stakeholder management

Bridge Product leadership and Data Scientists - translate business needs into technical priorities and vice versa

Algorithm Analysis & Validation

Analyze and validate ML algorithm outputs (bidding, delivery predictions, audience models) against business KPIs

Test model outputs, identify when and why algorithms underperform, and provide actionable feedback to data scientists

Conduct advanced investigation and analysis for algorithm-related performance issues

Support A/B test design and analysis for algorithm changes

Ad & Traffic Quality (Fraud) Operations

Investigate fraud-related issues - IP/domain/app unblocking, ads.txt issues, discrepancy reports, DOOH/CTV/Retail Media whitelisting

Manage fraud blacklists (IP, domain, UA, app) using internal tools

Run compliance cycles - Backward Looking Assessments, quarterly risk assessments, IVT filter reviews,

TAG/IWL list updates, methodology disclosures - and look for opportunities to AI automate the recurring,

Repeatable parts rather than only running them manually

Support TAG/MRC audits and contribute to RFI/RFP responses on traffic quality

Industry & AI Awareness

Track AdTech trends, AI/ML developments, and competitive landscape to inform priorities

Attitude First. Everything else will follow. We can grow together faster if you have:

3–5 years in a product, analytics, or technical role working alongside data science/ML teams

1–2 years of experience in AdTech or programmatic advertising

Hands-on experience testing or analyzing ML model outputs (not building them)

Strong analytical skills - SQL, data analysis tools, basic statistics

Solid product fundamentals - backlog management, stakeholder alignment, acceptance criteria

Excellent communication - can explain algorithm behavior to non-technical stakeholders

Stand out by having: (Optional)

Comfort working in an AI-native way - using LLMs and AI tooling to accelerate analysis, drafting, and

Investigation, and a sense for where recurring workflows can be automated rather than just executed

Familiarity with ad fraud / IVT concepts and MRC/TAG standards

Experience with A/B testing and experimentation frameworks

Python/R for data exploration

Our promise to you:

A dynamic, inspiring, and international environment filled with ambitious and caring colleagues

Premium health insurance with ₹10,00,000 coverage for you and your family

24 paid vacation days to enjoy life outside of work

Paid maternity (6 months) and paternity (2 weeks)

Annual learning budget to help you grow your skills and support continuous learning

Rewarding referral program for helping us grow

Global perks such as birthday gifts, work anniversaries, and company events to connect with colleagues and have fun

And much more – join us to explore the full experience

Diversity & Inclusion @Adform:

We are committed to creating a work environment where Adform employees feel valued for who they are and what they can contribute, free from any type of discrimination.