Jobs / United States / Zocdoc INC

Staff Software Engineer, Provider Engagement

Zocdoc INC · 🇺🇸 New York, NY; Silicon Valley, CA; USA 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 16 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 1 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 Zocdoc INC paid sponsored hires in similar roles7 certified filings for “Senior Software Engineer” (Software Developers) in NY: $184k–$250k, median $202k. Most were filed at wage level III (57%) — 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 — Zocdoc INC

16 H-1B filings certified since Oct 2025

The US Department of Labor certified 16 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 1 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 Zocdoc INC →

About the role

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission We're building Zocdoc's provider engagement platform — a system that understands where each practice is in their journey and delivers personalized experiences that deepen their relationship with our platform. Think: intelligent recommendations, engagement scoring, AI-assisted practice management, and a provider experience that makes Zocdoc essential to daily operations. As Staff Engineer, you'll own the technical architecture for core components of this platform. You'll design systems that integrate ML models built by our Data Science team, build the data pipelines that power personalization, and ensure our product surfaces can consume intelligence seamlessly. What You'll Do • Own architecture for a major domain practice intelligence APIs, recommendation serving, orchestration layer, or AI-assisted management • Design data pipelines that compute engagement signals, aggregate practice profiles, and feed downstream systems • Integrate ML models built by Data Science into production model serving, feature pipelines, monitoring, and feedback loops • Define APIs and contracts between platform services and product surfaces • Lead complex cross-team projects and drive alignment on technical direction • Make build-vs-buy decisions for infrastructure components • Mentor engineers and raise the bar on system design and operational excellence You'll enjoy this role if you are… • Inspired by the opportunity to positively impact the healthcare experience for millions of patients and providers • Passionate about building data-intensive platforms that power intelligent, personalized experiences at scale • Product-driven with a relentless focus on user needs, and excited to partner closely with cross-functional teams from early ideation through delivery • Energized by designing scalable platform systems data pipelines, APIs, and real-time services that power intelligent product experiences • A fervent champion of engineering fundamentals who enjoys driving adoption of best practices in code health, testing, and observability across teams • A leader who mentors and grows engineers, cultivates innovation, and drives cross-collaboration across multiple teams • A believer that diverse and inclusive teams and cultures are non-negotiable • An entrepreneur with strong ownership who can thrive in an ambiguous and fast-changing environment Your day to day is… • Technical ownership of Zocdoc's Provider Engagement Platform, including roadmapping, prototyping, and leading 0-1 projects that span data infrastructure, ML integration, and product surfaces • Designing and building the unified practice intelligence layer, aggregating fragmented data into real-time profiles that power personalization and recommendations • Architecting event pipelines that capture engagement signals, compute health scores, and feed downstream ML mo

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Source: Greenhouse (employer board) First seen: 2026-10-01 Last confirmed: 2026-10-03 How our data works → Report this job

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