Principal Product Manager, AI/ML

Responsibilities

• Own the vision and multi-year roadmap for AI/ML recommendation and prediction products end-to-end — from ideation and business case through market research and competitive differentiation — to drive growth and sustained competitive advantage.
• Secure executive alignment on technology investments tied to business goals; guide engineering teams in sequencing short-term deliverables that ladder to long-term strategy.
• Serve as the org's go-to expert on customers and market: synthesize usage data, qualitative research, and competitive/industry intelligence to validate and prioritize the roadmap.
• Evangelize AI/ML product innovation across the org, raising the bar on what "good" looks like and driving the organizational changes needed to support it.
• Mentor and set the standard for other PMs working on adjacent AI/ML or data-driven initiatives — acting as a force-multiplier beyond your own roadmap.
• Partner closely with design, data science, and engineering through the full delivery lifecycle (including Agile ceremonies) to define requirements and ship on time at the right quality bar.

Qualifications

• 10+ years in Product Management, including 3+ years leading ML/AI products end-to-end, with demonstrated Staff/Principal-level scope (influence across multiple teams or roadmaps, not just one product line).
• Proven track record building and scaling recommendation systems and/or graph neural network (GNN) products in production, at meaningful user/data scale.
• Experience shaping product strategy and driving buy-in without formal authority — across engineering, leadership, and cross-functional stakeholders — with results tied to specific business outcomes.
• Skilled at partnering with UX/design and data science to ship AI/ML features, balancing model capability against usability constraints.
• Strong grasp of Agile/iterative development, adapted for ML timelines (training cycles, data dependencies, experimentation loops).
• Exceptional written/verbal communication; able to translate technical ML tradeoffs for non-technical stakeholders and think analytically across systems.
• Big plus (not required): Direct experience in ad tech, CTV/streaming, linear TV, or programmatic media.

Benefits

• Total compensation ($190,000-$225,000)
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 Newbie Productivity Perk
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events
• Hybrid RTO of 2 days per week in office.