Staff Software Engineer, Provider Engagement

Zocdoc•San Jose, CA
•$211,000 - $285,000•Hybrid

About The Position

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.

Requirements

  • 8+ years of software engineering experience with demonstrated technical leadership
  • Experience building data-intensive systems event pipelines, aggregation services, or real-time data serving
  • Comfort integrating ML into products you've worked with Data Science to take models from notebook to production
  • Strong API and data modeling skills you design schemas and interfaces that evolve gracefully
  • Ability to navigate ambiguity you break product vision into concrete technical milestones
  • Excellent communication you write clear design docs and explain tradeoffs to product partners
  • Track record of shipping you deliver high-quality systems, not just designs

Nice To Haves

  • 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

Responsibilities

  • 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

Benefits

  • Flexible, hybrid work environment at our convenient Soho location
  • Unlimited Vacation
  • 100% paid employee health benefit options (including medical, dental, and vision)
  • Commuter Benefits
  • 401(k) with employer funded match
  • Corporate wellness program with Wellhub
  • Sabbatical leave (for employees with 5+ years of service)
  • Competitive paid parental leave and fertility/family planning reimbursement
  • Cell phone reimbursement
  • Catered lunch every day along with beverages and snacks
  • Employee Resource Groups and ZocClubs to promote shared community and belonging
  • Great Place to Work Certified
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