Netflix
Product Marketing Manager (UCAN) Media Effectiveness
New York,New York,United States of America · Senior · Full-time
Stay score
odds of building a lasting career here
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.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$6,438 more — $246,438 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $246,438 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Marketing Managers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Marketing Managers (11-2021) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card follow-through: 85%
Files H-1B transfers
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
- Netflix is one of the world's leading entertainment services offering TV series, films, games and live programming across a wide variety of genres and languages.
- Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
- We are seeking a passionate, curious and collaborative Ads Product Marketing Manager to join our growing Ad Product Marketing team, focused on Media Effectiveness for US Ad Measurement.
Responsibilities
- Lead go-to-market strategy and launches for US and CA ad measurement solutions (e.g., incrementality, brand lift, multi-touch attribution, clean room integrations) and ensure a strong measurement story is baked into the launch of new narratives and capabilities (e.g. new ad formats)
- Partner with Global PMM, Product, Sales, Research, Comms, and Legal/Privacy to shape the roadmap, using voice-of-customer feedback from agencies and advertisers
- Drive alpha and beta testing strategy and frameworks in partnership with Measurement specialists; work with data science to turn early results into case studies that demonstrate ad effectiveness across various outcomes
- Build pitch decks, one-pagers, whitepapers, and battlecards, and enable sales, measurement, account management, agency trade desks, and analytics teams
- Drive narrative and alignment around industry standards and accreditation (e.g., MRC, IAB) and third-party measurement integrations (e.g., DoubleVerify, IAS, Nielsen, Kantar, EDO)
Requirements
- 7-10+ years of experience in ad tech product marketing, specifically activating media measurement, data collaboration and analytical solution
- Excellent communication and storytelling skills and ability to translate complex measurement methodologies into clear, revenue-driving value propositions for brand advertisers, performance marketers, and agencies
- Strong experience in partnering cross-functionally on product strategy, product positioning/narrative and GTM launches
Compensation
- $240k-$362k
Benefits
- Translate complex methodologies (e.g., Bayesian MMM, synthetic control groups) into simple benefits for media buyers and CMOs
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.
- Come be a part of what's next.
This listing is sourced directly from Netflix's careers page and normalized into a canonical job model.