Netflix

1 week ago

Product Manager, Personalization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Own personalization product strategy for Netflix’s member experience by leveraging data and new AI advancements to improve recommendations across movies, shows, and games. Build and communicate a strategic roadmap, drive execution with cross-functional partners including AI scientists, engineers, consumer insights researchers, and data sourcing teams, and lead experiments to validate hypotheses. Partner with design and engineering to translate algorithm and business context into impactful, consumer-facing launches.

Location: Los Angeles, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Craft and communicate a strategic roadmap for core personalization and drive its execution.
•Lead cross-functional teams including AI scientists and engineers, consumer insights researchers, and data sourcing partners.
•Collaborate across functions to ensure solutions deliver real business impact.
•Use experimentation to validate product hypotheses and interpret experimental results with appropriate skepticism.
•Apply statistical and design/business judgment to evolve personalization and improve member recommendations.

Travel: Low travel

Pay and Benefits

Salary: USD 310,000 - 545,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisabilityPaid LeaveFlex Spending

Key Requirements

•5+ years of product management experience, ideally with personalized consumer-facing products.
•Experience creating and managing evaluation (eval) processes.
•Experience managing consumer products using machine learning (e.g., recommendation systems) with a record of launching impactful products.
•Demonstrated leadership working effectively with data scientists and engineers.
•Excellent written communication skills to present technical content to non-technical audiences.

Experience:5+ yearsConsumer personalizationRecommendation systemsAI/ML products

Skills:CommunicationExperimentationStrategic thinkingLeadershipCollaboration

Tech Stack:Machine learningRecommendation systems

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Netflix

1 week ago

Product Manager, Personalization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Los Angeles, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Craft and communicate a strategic roadmap for core personalization and drive its execution.
•Lead cross-functional teams including AI scientists and engineers, consumer insights researchers, and data sourcing partners.
•Collaborate across functions to ensure solutions deliver real business impact.
•Use experimentation to validate product hypotheses and interpret experimental results with appropriate skepticism.
•Apply statistical and design/business judgment to evolve personalization and improve member recommendations.

Travel: Low travel

Pay and Benefits

Salary: USD 310,000 - 545,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisabilityPaid LeaveFlex Spending

Key Requirements

•5+ years of product management experience, ideally with personalized consumer-facing products.
•Experience creating and managing evaluation (eval) processes.
•Experience managing consumer products using machine learning (e.g., recommendation systems) with a record of launching impactful products.
•Demonstrated leadership working effectively with data scientists and engineers.
•Excellent written communication skills to present technical content to non-technical audiences.

Experience:5+ yearsConsumer personalizationRecommendation systemsAI/ML products

Skills:CommunicationExperimentationStrategic thinkingLeadershipCollaboration

Tech Stack:Machine learningRecommendation systems

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor