Zocdoc - Staff Software Engineer, Provider Engagement

• Own architecture for a major domain  practice intelligence APIs, recommendation serving, orchestration layer, or AI-assisted management • Own architecture • Design data pipelines that compute engagement signals, aggregate practice profiles, and feed downstream systems • Design data pipelines • Integrate ML models built by Data Science into production  model serving, feature pipelines, monitoring, and feedback loops • Integrate ML models • Define APIs and contracts between platform services and product surfaces • Define APIs and contracts • Lead complex cross-team projects and drive alignment on technical direction • Lead complex cross-team projects • Make build-vs-buy decisions for infrastructure components • Make build-vs-buy decisions • Mentor engineers and raise the bar on system design and operational excellence • Mentor engineers • 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 • 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, with the notion that helping others means learning and growing yourself • You'll be successful in this role if you have… • 8+ years of software engineering experience with demonstrated technical leadership • 8+ years of software engineering experience • Experience building data-intensive systems  event pipelines, aggregation services, or real-time data serving • Experience building data-intensive systems • Comfort integrating ML into products you've worked with Data Science to take models from notebook to production • Comfort integrating ML into products • Strong API and data modeling skills you design schemas and interfaces that evolve gracefully