Jobs / United States / Doordash INC
Senior Product Manager, People Product
Doordash INC · 🇺🇸 United States - 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 396 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 147 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 Doordash INC paid sponsored hires in similar roles1 certified filing for “Staff Product Manager, People Product” (Marketing Managers) in PA: $173k–$173k, median $173k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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 — Doordash INC
The US Department of Labor certified 396 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 147 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 Doordash INC →
About the role
About the team The People Product team builds the internal tools and frameworks that power every employee's journey across DoorDash, Deliveroo, and Wolt. We combine a hybrid "build + buy" approach to deliver intelligent, scalable and people-centric experiences across hiring, compensation, onboarding, learning, performance and more — connecting our mission to empower local economies with the experience of the people who make it happen. We partner closely with Design, Engineering, Analytics, People/HR, Total Rewards and Talent Acquisition to build products that elevate the entire People Tech stack across all three brands. About the role We're hiring a Senior Product Manager to own the our internal compensation products — this includes the tooling, data, and AI that determine how DoorDash sets and maintains pay ranges across every job family, level, and country. Range setting is the starting point, as it is the core process of a compensation team and the infrastructure everything else is built on. Your role is to turn that into a product: a range-setting workspace that ingests market and internal data to enable a Compensation Partner to review and make decisions. This is an individual contributor role with a clearly scoped product area. The range-setting tool and the monitoring dashboard are the anchor. You will also own the seams into adjacent compensation surfaces — recruiter offer guidance, budget modeling, headcount planning, and Workday range loads — wherever they depend on range data. What you'll be doing • Own product decisions for the compensation range-setting stack — the range tool, its recommendation engine, and the monitoring dashboard — partnering with Compensation on methodology while owning how that methodology becomes product logic. • Define the data pipelines and data products that range setting depends on — historical ranges, offers, incumbent, and attrition data — and own the partnership with People Analytics on the semantic layer and the proposed compensation data mart, including what the product requires of each. • Own the range-setting product and analytics roadmap end to end and carry launches to market — adoption, enablement, and change management. • Improve Compensation Partner productivity across the range review, while also managing intake, prioritization, and requirements definition for this part of the compensation stack. • Own the seams into adjacent compensation products — recruiter offer guidance, budget modeling, headcount planning, and Workday range loads. Requirements • 5+ years of product management experience shipping products end to end, including at least one data- or workflow-heavy internal or B2B product. • Demonstrated success turning a manual, judgment-heavy operational process into a product — rules, guardrails, recommendations, and measurable throughput gains — rather than digitizing a spreadsheet. • Strong analytical skills and real comfort in data: you can size the problem, define the evaluation metric for a recommendation engine, read a precision-and-recall trade-off without flinching, and tell the difference between an anomaly and a statistically meaningful signal. • Experience shipping an AI- or model-assisted feature where output quality is the product: rule or prompt design, evaluation sets, and honest measurement against human decisions. • Excellent partnership and communication skills, including with the partners whose day-to-day judgment your product is encoding. You will need their trust to get their reasoning on the record. • Experience working across custom-built tools and third-party SaaS (HRIS, ATS, survey and benchmarking, BI), including integrating data across systems and negotiating dependencies with platform and analytics teams. Nice to have • Direct