NetflixHiring

Program Manager, Human Evaluations (Recommendations)

  • Remote, United States
  • Full-time
  • Lead
  • Posted 8 days ago
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In one line

Program manager running human evaluation programs that judge how good recommendations are on a streaming homepage; works closely with product and machine learning teams.

About the role

Human evaluation work for recommendation quality: building rubrics and workflows, managing raters and vendors, and keeping delivery on schedule. The role pairs evaluation design with hands-on execution.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Employment
Full-time
Skills
Human evaluation, Rubrics, Vendor management, Success metrics, Personalization
Posted
21 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Design evaluation frameworks and rubrics for relevance, repetition and diversity
  • Run evaluations end to end, from intake and scoping through delivery
  • Onboard and calibrate raters and manage vendor capacity
  • Translate recommendation strategy into evaluation designs and success metrics
  • Work with product, research, data science, UX and engineering teams

What they look for

  • Experience running human evaluation or data operations programs
  • Able to bring structure to unclear problems and keep projects on track
  • Comfort working with product managers, data scientists and ML engineers
  • Fluency in film and TV content and a feel for which titles fit together
  • Skill at defining milestones and steering cross-functional teams

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Questions about this job

Is this a remote job, and where can I work from?

Yes. The posting lists Program Manager, Human Evaluations (Recommendations) as a remote role for candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: experience running human evaluation or data operations programs; able to bring structure to unclear problems and keep projects on track; comfort working with product managers, data scientists and ML engineers. Skills it names include Human evaluation, Rubrics, Vendor management, Success metrics.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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