Product manager jobs in New York, NY

About the role

Position: Sr. Director, Product & Analytics (US Verticals) MiQ is seeking a Sr. Director, Product & Analytics to lead the US vertical product pod and custom analytics function within the US Product & Solutions org. This role owns the product team charter, drives roadmap execution, and ensures that what gets built is commercially sharp, AI-forward, and tied to measurable business outcomes. Two functional areas report into this role: the US local vertical product pod — Product Lead and PMs building MiQ’s vertical intelligence products across Healthcare, CPG, Travel, Political, and Social; and custom analytics for the Indies & Brand Direct segment. This role is at the center of how MiQ builds and scales vertical product advantage in the US. You’ll develop a commercially sharp product team, bring AI-forward thinking into the discovery process, and ensure that every release lands with a clear business rationale and a GTM motion behind it — helping MiQ win in Healthcare, CPG, Travel, Political, and beyond.

What you'll bring

• Proven experience managing and developing product teams (PMs, Analytics/Solutoins or equivalent) — you know how to raise the commercial IQ of a team, not just manage task output
• Experience in Python and other data science languages — comfortable working with data outputs, evaluating analytical work, and engaging credibly with engineering and data science teams
• Experience owning a multi-product roadmap with direct revenue accountability — you’ve made real prioritization calls with real trade-offs
• Demonstrated ability to maintain a disciplined separation between discovery and delivery — you’ve run both tracks simultaneously and kept them from collapsing into each other
• Operational instinct: you build systems (tracking, release management, review cadences) that keep a team aligned without constant escalation
• Strong Preference
• Familiarity with programmatic data ecosystems — ACR, bid stream, clean rooms, identity graphs, DSP measurement
• Experience evaluating and onboarding data partners with a structured fit-assessment framework
• Background productizing AI/ML outputs — taking a model or agent output and building a client-facing product layer on top of it
• Experience working in a matrixed org where product decisions required alignment across commercial, engineering, and data science functions
• 10+ years in product management, analytics, or a hybrid role at a data-intensive company — adtech, martech, or programmatic media experience strongly preferred

Benefits