# Principal Product Manager, AI/ML

**Company:** [Tatari](https://hotfix.jobs/companies/tatari)
**Location:** San Francisco, CA, Los Angeles, CA, New York, NY
**Role:** Product Management
**Salary:** $190k – $225k/yr
**Experience:** 10+ years
**Skills:** Product Management, AI/ML, Recommendation Systems, Graph Neural Networks, Gnn, Data Science, UX Design, Agile, Ad Tech
**Posted:** 2026-07-10

> Set the multi-year vision and strategy for Tatari's AI/ML recommendation and prediction products as a hands-on Principal PM. Requires 10+ years PM experience including 3+ years leading ML/AI products, with proven experience building recommendation systems or GNNs at scale.

## Job Description

## 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.

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