Job description

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 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 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 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 Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details. NYC Base Salary Range $211,000 — $285,000 USD About us Zocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc’s Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values . Zocdoc is a private company backed by some of the world’s leading investors, and we believe we’re still only scratching the surface of what we plan to accomplish. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone , we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws. Job Applicant Privacy Notice

Requirements

Must-haves

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 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

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aigodesign systemsmlreactawsagileapi

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave

Wellness