Jobs / United States / Doordash INC
Manager, Data & Analytics, In-Store
Doordash INC · 🇺🇸 New York, NY; San Francisco, CA; San Jose, CA; Seattle, WA; Los Angeles, CA; Washington D.C.; Austin, TX; Chicago, IL
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 roles2 certified filings for “Associate Manager, Growth Strategy & Ops Product Partnership” (Data Scientists) in FL: $117k–$119k, median $118k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% 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 SevenRooms Data & Analytics team is the foundational data hub for the SevenRooms business — owning the pipelines, models, dashboards, and predictive systems that power decisions across GTM, Product, Finance, and Partnerships. We sit at the intersection of SevenRooms and the broader DoorDash data ecosystem, and we partner globally with teams across the US, UK, UAE, and Australia supporting all customer segments from SMB through Enterprise. We design and maintain the pipelines, models, and infrastructure that connect SevenRooms' systems with the broader DoorDash data ecosystem — and we're investing aggressively in making our datasets ready for both human and AI consumption. About the Role We're hiring a Manager of Data & Analytics to lead the SevenRooms D&A team — a team of four analysts and engineers responsible for the data products, AI systems, and reporting infrastructure that the rest of the business runs on. You will be both a people leader and a senior technical voice in the room: coaching analysts and engineers on their craft, owning the data roadmap end-to-end, partnering with executive stakeholders across geographies and segments, and rolling up your sleeves on the highest-complexity work. In your first 90 days, you will absorb the team's in-flight roadmap, build trust with stakeholders across S&O, GTM, Product, Finance, and Partnerships, and partner with leadership on the prioritization framework that governs what the team takes on next. Our 2026 roadmap spans the full data value chain: GenAI agents that audit Salesforce in real time, churn and ICP models that drive CSM and AE prioritization, the MRR/ARPV reporting layer that finance and leadership run the business on, and the Netsuite integration that will modernize how we report revenue. You will report into the Senior Manager, Strategy & Operations in our In-Store organization. You’re excited about this opportunity because you will… • Lead, coach, and grow a team of senior analysts and BI engineers — running performance, career development, and hiring end-to-end. • Own the D&A roadmap across GTM, Product, Finance, and Partnerships, balancing the team's investment between predictive AI/ML systems, traditional reporting, and cross-functional analytics. • Act as the senior data voice in executive conversations — translating business problems into technical scope, pushing back when a request is the wrong shape, and influencing how leaders across segments make decisions. • Translate narrow, well-defined GTM problems into shipped solutions — designing prompts, integrating with Salesforce and our GTM stack via APIs, and instrumenting the leading indicators that prove ROI. • Partner closely with GTM Engineering, GTM Systems, and Revenue Insights to define a clean "Build vs. Run" operating model and unlock the next generation of AI-powered GTM products. • Contribute to the team-wide AI developer infrastructure (skills libraries, MCP integrations, prompt frameworks) that makes every D&A engineer and analyst faster at deploying AI. • Help establish the technical patterns and reusable components that will power our next generation of GTM AI products as the function scales. We’re excited about you because… • A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain • 6+ years of experience in data analytics, BI engineering, or analytics engineering in a B2B SaaS environment, with demonstrated technical depth in SQL, DBT, and a modern cloud data warehouse (Snowflake or BigQuery). • 2+ years of people management experience leading a team of analysts, engineers, or a hybrid of both — including hiring, performance management, and career development. • Hands-on experience owning enterprise data infrastructure (Looker or e