Is the Staff Product Manager, Model Lifecycle & Management role remote?

It's hybrid — Pinterest expects some on-site time in San Francisco, CA, US; Remote, US.

What's the salary range?

Pinterest lists $164,695–$339,078 for this role.

How much experience is required?

At least 5 years of relevant experience for this Staff Product Manager, Model Lifecycle & Management role.

Where is the role based?

Pinterest is hiring for this position in San Francisco, CA, US; Remote, US.

What's the tech stack?

Joblaze extracted these technologies from the posting: Data Science, Machine Learning, SQL.

What seniority level is this role?

Pinterest targets staff-level candidates for this position.

Staff Product Manager, Model Lifecycle & Management at Pinterest

Joblaze summary

In the role of Staff Product Manager for Model Lifecycle & Management at Pinterest, the individual will oversee the product strategy for the machine learning platform that enhances content safety models. Key skills include experience with ML platforms, strong data fluency, and the ability to lead cross-functional teams effectively. This position is suited for a seasoned product manager with a background in machine learning and a knack for systems thinking. The role involves collaboration with various teams, indicating a dynamic environment focused on innovation and safety.

Joblaze insights

Listed 9 days ago on Joblaze — tracked directly from Pinterest's career page.
Pinterest has 195 other open roles including Lead Ads Product Marketing Manager, Sr. Programmatic Tech Operations Specialist , Sr. Client Account Manager, Home.
2283 active SQL roles on Joblaze right now.
797 active Machine Learning roles on Joblaze right now.
248 active Data Science roles on Joblaze right now.
Salary band is below the typical range for Product roles (median ~$185,300).
Pays more than 59% of the 1124 salaried SQL roles we track (median $150,100). See SQL salary trends

Quick facts

Is the Staff Product Manager, Model Lifecycle & Management role remote?: It's hybrid — Pinterest expects some on-site time in San Francisco, CA, US; Remote, US.
What's the salary range?: Pinterest lists $164,695–$339,078 for this role.
How much experience is required?: At least 5 years of relevant experience for this Staff Product Manager, Model Lifecycle & Management role.
Where is the role based?: Pinterest is hiring for this position in San Francisco, CA, US; Remote, US.
What's the tech stack?: Joblaze extracted these technologies from the posting: Data Science, Machine Learning, SQL.
What seniority level is this role?: Pinterest targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Product Manager, Model Lifecycle & Management role at Pinterest.

From the original posting

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

As a Senior Product Manager for Signal Lifecycle within Trust & Safety, you'll own the product strategy for the ML platform that powers how Pinterest trains, evaluates, deploys, and measures content safety models at scale. You'll lead the development of ML Signal Management — making ML signals first-class entities with unified metadata and identity across systems. Partnering deeply with ML engineering, data science, content safety, and enforcement systems, you'll drive a platform whose scope is expanding from T&S into content quality, ads safety, and beyond.

What you'll do:

Own and drive the Signal Lifecycle product roadmap, including ML Flywheel infrastructure, auto-deployment, model onboarding, golden dataset management, and signal performance measurement
Define and ship ML Signal Management — a unified backbone that elevates ML signals into first-class entities with comprehensive metadata, cross-system naming, and API access
Partner with ML Engineering to reduce model iteration time through automated retraining, evaluation, and deployment pipelines
Own measurement infrastructure — golden dataset strategy, prevalence measurement, model performance dashboards, and experimentation frameworks
Lead cross-functional signal strategy with Content Safety, Enforcement Systems, Data Science, and Operations

What we're looking for:

5+ years product management experience
Experience owning or managing ML platforms, model lifecycle infrastructure, or ML tooling
Strong data fluency — comfortable with precision/recall/FPR, evaluation methodology, and model performance measurement
SQL proficiency — able to self-serve data investigation and analysis
Demonstrated systems thinking — experience with complex interconnected infrastructure serving multiple teams
Strong cross-functional leadership — proven ability to drive decisions across ML engineering, data science, and product stakeholders
Excellent written and verbal communication of complex ML and infrastructure concepts
Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

#LI-REMOTE
#LI-REX

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$164,695—$339,078 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Staff Product Manager, Model Lifecycle & Management

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