Staff Software Engineer, Provider Engagement

Our Mission

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.

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. 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

Your Day to Day

• 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 models
• Integrating ML models built by Data Science into production systems, model serving, feature pipelines, monitoring, and feedback loops
• Defining APIs and contracts between platform services and product surfaces (homepage, in-product messaging, CRM, Sales tools)
• Making build-vs-buy decisions for infrastructure components (event systems, feature stores, in-product messaging platforms)
• Analyzing and decomposing complex product challenges to drive sound design decisions
• Working hands-on with your team and shipping production code using C#, React, and AWS technologies
• Collaborating with our agile team of dedicated engineers, product managers, designers, and data scientists
• Mentoring your peers and colleagues by giving thoughtful feedback

Qualifications

• 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; worked with Data Science to take models from notebook to production
• Strong API and data modeling skills to design schemas and interfaces that evolve gracefully
• Ability to navigate ambiguity and break product vision into concrete technical milestones
• Excellent communication skills (writing clear design docs and explaining tradeoffs to product partners)
• Track record of shipping high-quality systems, not just designs