Senior Product Manager - Platform (AdTech)

Job Description:
We're looking for a Senior Product Manager who is technical, data-driven, and energized by hard problems. The ideal candidate relentlessly pursues product-market fit, is comfortable with the ambiguity of building, and executes with discipline. You take ownership of an area end-to-end and you measure success by customer outcomes, not features shipped.

Your Mandate :
Based in Ahmedabad, you'll own one of the core platform capabilities. These are the reusable building blocks the entire product depends on — so the quality, reliability, and reusability of what you ship is felt across every vertical.

Responsibilities:
● Own the roadmap and end-to-end execution of your capability area — from discovery through delivery, iterating relentlessly on data and customer feedback.
● Translate complex platform needs into clear, buildable requirements — and defend your trade-offs with evidence.
● Bring AI into the core of your product area — designing intelligent, AI-first features that raise what the platform can do.
● Build for reuse across verticals — ensuring your capability composes cleanly into healthcare and political solutions rather than forking for each.
● Partner deeply with Engineering and Data Science — aligning on approach, navigating trade-offs, and making sure every release creates measurable customer impact.
● Be the voice of the customer — gathering requirements, prototyping, prioritizing, and scoping releases that reflect real advertiser needs.
● Own feature-level metrics for your area (adoption, performance, reliability) and report against outcomes, not activity.

What You Bring to the Table :

Technical & Analytical Foundation
● 3–6 years of Product Management experience, with hands-on adtech / programmatic / DSP work (product or engineering).
● Proven track record of using data to identify opportunities, make decisions, and iterate toward outcomes. A background in data science, analytics, or engineering is a strong plus.
● Ability to write clear specifications that articulate the why, not just the what.

Execution & Ownership :
● A track record of owning delivery of a data product end-to-end with an engineering team — you've shipped, not just specced.
● Comfortable navigating ambiguity and making calculated, transparent trade-offs.
● You operate without a detailed playbook — you set sensible norms where none exist.

Collaboration :
● Strong communication and the ability to align engineering, data science, and commercial stakeholders.
● Experience working with cross-functional, sometimes distributed teams.

Bonus :
● Experience with identity graphs, audience segmentation, bidding/auction systems, or measurement/attribution.
● Exposure to a regulated vertical (healthcare, political, BFSI) and its compliance constraints.