Rekruton Technologies

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&nbsp;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&nbsp;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,&nbsp;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&nbsp;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&nbsp;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 &amp; 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,&nbsp;or engineering is a strong plus. ● Ability to write clear specifications that articulate the why, not just the what.
 Execution &amp; 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.