Jobs / United States / Lyft INC
Sr. Product Marketing Manager, Programmatic Ad Solutions
Lyft INC · 🇺🇸 San Francisco, CA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 75 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 99 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Lyft INC paid sponsored hires in similar roles2 certified filings for “Engineering Manager” (Architectural and Engineering Managers) in CA: $150k–$216k, median $183k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Lyft INC
The US Department of Labor certified 75 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 99 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Lyft INC →
About the role
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Ads is one of the fastest-growing commerce media businesses in the industry, connecting brands to a high-intent, on-the-move audience across Lyft's rider and driver networks. With proprietary first-party data spanning millions of rides and real-world consumer journeys, Lyft Ads offers advertisers a unique combination of targeting, context, and measurement that traditional platforms cannot replicate. We are building the future of mobility media — and we are looking for exceptional talent to help lead that charge. We are seeking a strategic, highly cross-functional leader to join Lyft Ads as our Sr. Product Marketing Manager for Programmatic Ad Solutions. This is a unique and high-impact role at the intersection of programmatic advertising, revenue partnership development, and go-to-market strategy. You will own three interconnected pillars that are core to Lyft Ads' growth: building our programmatic and Audience Extension business, managing key channel and demand partners, and developing the packaging and pricing strategy that powers our sales organization. This role requires a rare blend of strategic thinking, commercial acumen, and operational execution. You will work closely with Product, Data Science, Sales, and external partners to define how Lyft Ads goes to market — both on-platform and off — and to ensure we are positioned to win against competitors in the rapidly evolving commerce media landscape. Responsibilities: • Programmatic Strategy & Audience Extension Go-to-Market • Own the end-to-end strategy and go-to-market for Lyft Ads' programmatic business, with a primary focus on Audience Extension solutions that extend Lyft's first-party data and targeting capabilities beyond the app. • Develop compelling narratives, positioning frameworks, and packaging structures that clearly articulate Lyft Ads' programmatic differentiation to agencies, brands, and demand partners. • Define the commercial and product strategy for how Audience Extension is sold, including deal structures, influencing pricing, audience segmentation, and measurement integration. • Partner closely with Product Management and Data Science to ensure programmatic offerings are technically sound, scalable, and competitively differentiated. • Monitor programmatic market trends, competitive dynamics, and evolving buyer behavior to proactively refine strategy and maintain a leading position. • Drive revenue growth through programmatic channels by identifying new demand sources and structuring scalable, repeatable go-to-market motions. • Programmatic Channel & Partner Management • Identify, evaluate, and manage relationships with key programmatic channel and revenue partners including DSPs, SSPs, data clean rooms, ad networks, and measurement providers. • Partner with the leadership team to influence commercial negotiations and deal structuring across the programmatic partner ecosystem — defining how Lyft Ads integrates technically, commercially, and strategically with each partner. • Build a partner prioritization framework that optimizes for revenue impact, technical efficiency, audience scale, and strategic alignment. • Serve as the primary business point of contact for programmatic demand and measurement partners; drive QBRs, joint business plans, and revenue accountability. • Work with Engineering, AdTech, and Product teams to ensure partner connections are optimally implemented and continuously improved. • Evaluate emerging demand sources and new partnership models (e.g., retail media networks, data collaboration platforms) to identify incremental revenue opportunities fo