Pinterest4 days ago
Staff Product Manager, Applied Science
Salary not specified
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
The employer didn't disclose pay — compare with the market yourself.
San Francisco
Responsibilities
- 01Help shape the product vision and roadmap across key areas of Pinterest’s Applied Sciences portfolio, including representation learning, signals, and recommender systems
- 02Partner with teams across Pinterest to ensure new capabilities are broadly adopted and not built or deployed in silos
- 03Work closely with science, engineering, research, and surface teams to translate technical roadmaps into product bets with clear success criteria
- 04Define and communicate how platform value is measured, including adoption, quality, time to production, and infrastructure cost
- 05Partner across teams to evaluate modeling tradeoffs, support experimentation, and help ensure innovation scales sustainably across Pinterest’s major surfaces
Requirements
- 017+ years of Product Management experience or equivalent
- 02Demonstrated experience owning a shared ML or AI platform — such as feature stores, embedding platforms, representation learning infrastructure, recommender systems, or equivalent — where the customers are internal engineering and product teams with competing priorities
- 03Demonstrated success shipping AI/ML products into production on high-traffic consumer surfaces, with direct involvement in retrieval, ranking, recommendation systems, or related areas
- 04Strong platform product instincts and ecosystem thinking: you understand producers, consumers, and peer programs as stakeholders, and can make prioritization calls that protect the foundation while serving product surfaces
- 05Technical credibility with ML/AI teams, with the depth to engage substantively on topics like representation learning, experiment design, model architecture tradeoffs, production readiness, and infrastructure tradeoffs
- 06Strong cross-functional range and credibility, with a track record of building trust across technically demanding partners and driving alignment in ambiguous spaces
- 07Governance and lifecycle discipline, including experience managing deprecation, technical debt, signal or infrastructure cost tradeoffs, and scaling new capabilities over time
- 08Strong strategic judgment and executive communication, with the ability to synthesize open questions into clear, defensible positions
- 09A bias toward clarity and urgency, with accountability for turning science and technical innovation into meaningful product change
- 10Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience
What we offer
- 01In-Office Requirement Statement: We recognize that the ideal environment for work is situational and may differ across departments
- 02This role will need to be in the office for in-person collaboration 1-2 times