Jobs / United States / Doordash INC
Manager, Analytics, Customer Experience
Doordash INC · 🇺🇸 San Francisco, CA; Sunnyvale, CA; Seattle, WA; New York, NY; Chicago, IL; Austin, TX
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 roles10 certified filings for “Product Manager” (Information Technology Project Managers) in CA: $186k–$223k, median $188k. Most were filed at wage level IV (80%) — 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 Customer Experience team serves as a foundational operations pillar at DoorDash, dedicated to resolving friction within the last mile. We architect and oversee an expansive global network of support centers — spanning both teammate-assisted and AI-driven support — obsessing over the user journey to ensure every interaction is seamless and reliable. As the analytics team, our mission is to make every support interaction measurably better: we define what a great resolution looks like, quantify where we fall short, and turn that into a roadmap for product, operations, and AI/ML partners. We are looking for a Manager to lead and grow the analytics team behind our core support experience. About the Role As a Manager on the Customer Experience Analytics team, you'll set the analytical vision for how DoorDash measures and improves customer resolutions across our global network of support teammates and their interactions with our customers. You'll lead and grow a team of data scientists working at the intersection of customer experience quality and operational cost — uncovering opportunities to drive perfect interactions and informing improvements to teammate tooling that leverages AI-driven resolutions. You'll establish a clear measurement framework for resolution quality, own insights to drive strategy and roadmap, and align partners across CX, Product, Engineering, Operations, and AI/ML. This is a high-visibility leadership role: success means better outcomes for customers, a more effective support organization, and a team of data scientists who are growing in their craft. You're excited about this opportunity because you will… • Lead, grow, and develop a team of data scientists — providing mentorship, feedback, and clear career development pathways. • Set the analytical vision for the core support experience, defining what a great customer resolution looks like and building the metrics to measure it. • Uncover opportunities to drive perfect interactions, translating patterns in contact and resolution data into a prioritized roadmap for product and operations partners. • Inform improvements to teammate tooling and workflows, and quantify the tradeoff between customer experience quality and operations cost. • Partner with AI/ML teams to design evaluation frameworks that measure and improve support quality. • Drive measurement strategy for the area under scope, setting best practices around experiment design, statistical analysis, and success metrics. • Interface frequently with senior leadership across CX, Product, Engineering, and Operations to showcase your team's work and shape strategy with data. We're excited about you because you have… • You have a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain • You have 6+ years of experience in analytics, data science, or a related quantitative field, including experience leading complex, ambiguous work from problem framing through recommendation. • You have experience managing and developing data scientists or analysts and know how to set a high bar on quality, ownership, and impact. • You have strong analytical fundamentals, including experimentation, predictive modeling, metric design, and translating data into actionable business decisions. • You are an excellent cross-functional partner and communicator who can influence stakeholders and tailor your message from working teams to senior leadership. • You are highly effective at prioritization and know how to focus your team on the highest-impact work in a fast-moving environment. • Comfort balancing quality and efficiency, ideally in a customer support, operations, marketplace, or service-delivery context. • Nice to have: experience measuring AI, LLM, or automatio