Netflix

2 months ago

Product Manager, Ads (Targeting)

✓ 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 the vision and execution for an Ads Targeting Platform that structures, surfaces, and activates audience and contextual signals across forecasting, media planning, and advertiser sales. Partner with engineering, data science, sales, and GTM to architect for scale, drive a complex multi-stakeholder roadmap, and ensure strong signal quality, data governance, and compliance—delivering differentiated targeting capabilities for enterprise advertisers and agencies.

Location: Los Angeles

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Define and own the long-term vision for the Ads Targeting Platform, aligning audience/contextual signals and data taxonomies to drive advertiser outcomes.
•Lead roadmap prioritization and strategy across partner needs, dependencies, and business objectives, making tradeoffs and building alignment.
•Partner with engineering and data science on foundational decisions for signal ingestion, normalization, taxonomy design, and data storage to support scale.
•Advance the advertiser sales cycle by anticipating and supporting forecasting, media planning, activation, and optimization with targeting capabilities.
•Ensure cross-functional alignment across sales, ad operations, GTM, data engineering, and partners, while owning signal quality, data governance, and compliance frameworks.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid LeaveDisability ProgramsLife Insurance

Key Requirements

•10+ years of Product Management experience owning ad tech platforms at scale, including targeting infrastructure, signal management, or audience data platforms.
•Set product vision and deliver in complex, multi-stakeholder environments with high organizational visibility.
•Expert understanding of the advertising ecosystem including DSP platforms, programmatic buying, audience/contextual targeting, and CTV advertising.
•Deep experience designing data taxonomies, signal classification, and audience data infrastructure to serve both technical and commercial needs.
•Fluency with ad serving systems and integrations, including SSPs, DSPs, APIs, and the ability to make foundational architecture decisions with engineering and data science.

Experience:10+ years

Skills:LeadershipExecutive communicationStakeholder alignmentStrategic thinkingData governance

Tech Stack:DSPSSPAPIsIntegration frameworksData storage

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

2 months ago

Product Manager, Ads (Targeting)

✓ 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

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Define and own the long-term vision for the Ads Targeting Platform, aligning audience/contextual signals and data taxonomies to drive advertiser outcomes.
•Lead roadmap prioritization and strategy across partner needs, dependencies, and business objectives, making tradeoffs and building alignment.
•Partner with engineering and data science on foundational decisions for signal ingestion, normalization, taxonomy design, and data storage to support scale.
•Advance the advertiser sales cycle by anticipating and supporting forecasting, media planning, activation, and optimization with targeting capabilities.
•Ensure cross-functional alignment across sales, ad operations, GTM, data engineering, and partners, while owning signal quality, data governance, and compliance frameworks.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid LeaveDisability ProgramsLife Insurance

Key Requirements

•10+ years of Product Management experience owning ad tech platforms at scale, including targeting infrastructure, signal management, or audience data platforms.
•Set product vision and deliver in complex, multi-stakeholder environments with high organizational visibility.
•Expert understanding of the advertising ecosystem including DSP platforms, programmatic buying, audience/contextual targeting, and CTV advertising.
•Deep experience designing data taxonomies, signal classification, and audience data infrastructure to serve both technical and commercial needs.
•Fluency with ad serving systems and integrations, including SSPs, DSPs, APIs, and the ability to make foundational architecture decisions with engineering and data science.

Experience:10+ years

Skills:LeadershipExecutive communicationStakeholder alignmentStrategic thinkingData governance

Tech Stack:DSPSSPAPIsIntegration frameworksData storage

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