Jobs / United States / Nextdoor INC
Principal Product Manager, Ads Delivery & Optimization
Nextdoor INC · 🇺🇸 US Remote · 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 24 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 14 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 Nextdoor INC paid sponsored hires in similar roles2 certified filings for “Product Manager” (Software Developers) in WA: $190k–$262k, median $226k. 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 — Nextdoor INC
The US Department of Labor certified 24 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 14 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 Nextdoor INC →
About the role
#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors The Monetization Team at Nextdoor empowers businesses of all sizes to connect meaningfully with their local communities. Our advertising platform helps marketers reach the right audiences, drive measurable outcomes, and scale their growth efficiently. As a Principal Product Manager, Ads Delivery & Optimization, you will lead the strategy and roadmap for how campaigns turn advertiser goals into effective delivery and measurable outcomes. You will own bidding, pacing, ranking, outcome optimization, and the measurement foundations that make these systems reliable. This is a highly technical and strategic role at the center of Nextdoor’s Ads ecosystem. You will partner with Engineering, Machine Learning, Data Science, Revenue, Finance, and Product Marketing to evolve our auction, bidding, pacing, ranking, measurement, and ML-driven optimization systems. Your work will span platform capabilities and optimization products, directly impacting advertiser outcomes, revenue growth, delivery efficiency, and the neighbor experience. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make • Own the strategy, roadmap, and execution for Ads Delivery and Optimization across auctions, bidding, budget pacing, ranking, conversion optimization, and automation. • Partner with Engineering, Machine Learning, and Data Science to define model objectives, design experiments, and drive deployment, monitoring, and iteration. • Expand optimization across advertiser goals, formats, and surfaces, including clicks, leads, purchases, app installs, video, Search Ads, SMB products, and emerging inventory. • Build the measurement foundations that make optimization reliable, including attribution, event and label quality, calibration, reporting, and privacy-constrained signals. • Turn complex optimization capabilities into intuitive advertiser products, including auto-bidding and other automation that improves outcomes and simplifies campaign management. • Drive tradeoffs across advertiser performance, revenue, delivery efficiency, platform investment, and the neighbor experience. Align senior stakeholders on strategy, decisions, risks, and performance. What You’ll Bring to the Team • 12+ years of product management experience, including significant experience in advertising technology, marketplace optimization, or ML-driven ranking and delivery systems. • Deep expertise in ads delivery and optimization, including auctions, bidding, budget pacing, ranking, conversion optimization, attribution, or experimentation. • Strong technical fluency and experience partnering with Engineering, Machine Learning, and Data Science on models, experimentation, c