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Product Manager Ml Jobs (NOW HIRING)

As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...

As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...

As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...

Required Skills & Experience * 5+ years of experience in product management , preferably in AI/ML-driven software environments. * Proven track record of delivering successful AI/ML or intelligent ...

Translate customer and product requirements into prioritized internal work, and keep delivery ... What You Have * 4-7 years as a Technical Program Manager or equivalent, supporting AI/ML or data ...

Technical Program Manager- ML

Irvine, CA · On-site

$180K - $200K/yr

Translate customer and product requirements into prioritized internal work, and keep delivery ... What You Have * 4-7 years as a Technical Program Manager or equivalent, supporting AI/ML or data ...

Engineering Program Manager- ML

Irvine, CA · On-site

$138K/yr

Translate customer and product requirements into prioritized internal work, and keep delivery ... What You Have * 4-7 years as a Technical Program Manager or equivalent, supporting AI/ML or ...

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Product Manager Ml information

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$51.5K

$159.4K

$197K

How much do product manager ml jobs pay per year?

As of Sep 11, 2026, the average yearly pay for product manager ml in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Product Manager Ml jobs?

For Product Manager Ml jobs, the most frequently searched job titles are:

Staff Product Manager, Model Lifecycle & Management

San Francisco, CA • On-site, Remote

Pinterest
Internet and IT • 1 - 5K employees

Full-time

Re-posted 21 days ago


Job description

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.

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