Netflix

Netflix

Product Manager, Identity and Audience Onboarding

Los Gatos,California,United States of America · Senior · Full-time

Sponsorship not specified$440k-$725kDetected 83 days ago
Data ScienceProduct ManagementProduct StrategyCollaboration

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 54 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 85%

Of 40 labor certifications old enough to have been used, 6 expired without the employer filing the next step. Median time from filing to decision: 496 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

160 transfer filings in the last year, covering 388 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Act as the subject matter expert on advertising identity governance and customer-facing data management.
  • Clearly articulate product strategy to stakeholders at every level, from engineering teams to executive leadership.
  • Demonstrated success managing ad tech products through the full lifecycle, including delivery of advertiser-facing UIs.

Responsibilities

  • Lead product development. Partner with engineering, science and design to ship advertiser-facing products that make onboarding and managing advertising signals seamless.
  • Drive cross-functional alignment. Work across sales, ad operations, marketing, strategy, policy, and legal to bring products to market and drive adoption at scale.
  • Own product strategy and roadmap.

Requirements

  • The Ads Platform team builds the advertising systems and integrations that power ad delivery across Netflix's world-class content ecosystem - balancing member experience with strong outcomes for advertisers.
  • 7+ years of Product Management experience with a strong track record of launching and scaling ad tech platforms.
  • Familiarity with legal compliance and the evolving global landscape of advertising regulation.

Compensation

  • $440k-$725k

Benefits

  • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
  • Set the long-term vision for a unified identity platform that supports large-scale data ingestion, normalization, and retention, while balancing it against near-term delivery commitments.

Company info

  • At Netflix, our mission is to entertain the world.
  • Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.
  • We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.
  • We're looking for a senior Product Manager to own the end-to-end lifecycle of the audience identifiers that power targeting, optimization, and measurement across Netflix Ads.

Equal opportunity

  • If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

This listing is sourced directly from Netflix's careers page and normalized into a canonical job model.