Jobs / United States / Pinterest INC
Sr. Product Manager, Search Personalization
Pinterest INC · 🇺🇸 San Francisco, CA, US; Remote, US · Remote
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 218 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 53 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 Pinterest INC paid sponsored hires in similar roles3 certified filings for “Senior Product Manager” (Computer and Information Systems Managers) in NY: $224k–$224k, median $224k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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 — Pinterest INC
The US Department of Labor certified 218 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 53 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 Pinterest INC →
About the role
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are a leaned-in platform where users come with active intent, not a place to watch funny dance videos or doom scroll through news. As such, we are positioned to succeed in Shopping in a differentiated way. As a platform, we are uniquely positioned at the intersection of search, social and commerce. The full-funnel experience across homefeed, search, and related pins - combined with the ability to save, collaborate and curate - enables users to have dynamic, multi-session journeys and go seamlessly from inspiration to action. These journeys are rarely linear and Pinterest enables statefulness better than any other platform - allowing users to stop and start, refine down, broaden out and come back to where they left off - seamlessly navigating between discover, decide and do. What you’ll do: • Develop and execute a cohesive Search Personalization strategy and roadmap in close partnership with, Product, Engineering, Design and other cross-functional stakeholders. • Incorporate innovative new Search Personalization features into our models that tap into the unique user intent on Pinterest. You’ll create products that help users find inspiration, browse products and ultimately find the item they want to buy. • Investigate and hypothesize opportunities to improve the relevance of search results on Pinterest. • Partner closely with a wide range of disciplines including engineering, data science, design, research, marketing, legal, strategy, and other product managers to define, measure, and drive execution. What we’re looking for: • Strong product sense: Strong product sense and ability to collaborate and get buy-in from stakeholders while setting a longer term vision. • Experience building AI/ML products: Demonstrated success in product management or related experience at fast-growing companies particularly working on AI/ML based products. • Bring structure to ambiguity: Proven ability to lead in ambiguous environments, aligning across functions, teams, and orgs to deliver on time in a highly collaborative environment. • Expert at weaving together data, user feedback, and intuition: Strong analytical skills to define product strategy and drive decision making, making appropriate trade-offs based on data analysis and qualitative feedback from Pinners. • Previous experience in search is a plus but not required. • Technical strength : You’ll partner closely with Engineering teams working with a wide variety of technologies, including Machine Learning. • Bachelor’s degree in a relevant field such as computer science or equivalent experience. Relocation Statement: • This position is not eligible for relo