Staff Product Manager, Model Lifecycle & Management

Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CA
Salary: $164,695–$339,078 / yr
Posted: 16 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k

This role $252k

$142k most similar roles pay here $360k

This role pays more than 86% of similar roles. Most pay $170,000–$224,000 — the shaded band above. At the midpoint, this role pays about $252k versus about $197k for comparable roles.

Based on 238 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 55 open roles on FindRole.

Listed pay typically runs $158,765–$320,320 across 55 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Staff Product Manager, Model Lifecycle & Management

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As a Senior Product Manager for Signal Lifecycle within Pinterest’s Trust & Safety team, you will lead the product strategy and development of an ML platform that manages content safety models at scale. Your daily responsibilities include driving the Signal Lifecycle product roadmap, defining and implementing ML Signal Management to unify metadata and identity across systems, and partnering with ML engineering and data science teams to streamline model iteration processes. You will also own measurement infrastructure, including golden dataset strategy and performance dashboards, while leading cross-functional initiatives involving content safety and enforcement systems. This role requires 5+ years of product management experience in ML platforms, strong data fluency, SQL proficiency, and the ability to communicate complex technical concepts effectively across teams.

Skills

Python SQL Kubernetes Terraform AWS CI/CD Docker Prometheus Grafana PostgreSQL Git Jenkins Scikit-learn TensorFlow Apache Airflow ELK Stack MLOps

What you'll do

Own and drive the Signal Lifecycle product roadmap for ML platform infrastructure.
Define and implement ML Signal Management to unify metadata and identity across systems.
Partner with ML Engineering to automate retraining, evaluation, and deployment pipelines.
Develop measurement infrastructure including golden dataset strategy and performance dashboards.
Lead cross-functional signal strategy involving Content Safety, Enforcement Systems, Data Science.

What we're looking for

5+ years of product management experience in ML platforms or related fields.
Proven expertise in managing model lifecycle infrastructure and ML tooling.
Strong data fluency with precision/recall/FPR and evaluation methodology knowledge.
Proficient in SQL for self-service data investigation and analysis.
Demonstrated ability to lead complex, interconnected system development.
Excellent cross-functional leadership skills across ML engineering and data science.

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