Staff Software Engineer, Provider Engagement

Zocdoc

. Own the technical architecture for a major Provider Engagement Platform domain, such as practice intelligence APIs, recommendation serving, orchestration, or AI-assisted management .

Posted 9/29/2026full-timeUnited StatesLead💰 $211,000 - $285,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in technical architecture, data pipeline design, and machine learning integration, with a strong focus on API development and cross-team collaboration. Proven ability to lead complex projects, mentor engineers, and deliver high-quality systems in a data-intensive environment.

Highest-signal resume keywords

Technical Architecture OwnershipData Pipeline DesignMachine Learning IntegrationAPI DevelopmentCross-Team Project Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData-Intensive SystemsEvent Pipeline DevelopmentData ModelingC#React

Soft Skills

Excellent CommunicationMentoring

Tools & Technologies

AWS

Industry Keywords

Provider Engagement PlatformPractice IntelligenceReal-Time Data ServingModel ServingFeature Pipelines

Tech Stack

Tools & technologies

AWSReact

About the role

Key responsibilities & impact

Own the technical architecture for a major Provider Engagement Platform domain, such as practice intelligence APIs, recommendation serving, orchestration, or AI-assisted management
Design data pipelines that compute engagement signals, aggregate practice profiles, and feed downstream systems
Integrate Data Science ML models into production through 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
Own platform roadmapping, prototyping, and leading 0-1 projects spanning data infrastructure, ML integration, and product surfaces
Design and build the unified practice intelligence layer and real-time profiles for personalization and recommendations
Architect event pipelines that capture engagement signals, compute health scores, and feed downstream ML models
Analyze and decompose complex product challenges to drive sound design decisions
Work hands-on with the team and ship production code
Collaborate with engineers, product managers, designers, and data scientists
Mentor engineers and provide thoughtful feedback

Requirements

What you’ll need

8+ years of software engineering experience with demonstrated technical leadership
Experience building data-intensive systems, including event pipelines, aggregation services, or real-time data serving
Experience integrating ML into products and taking models from notebook to production with Data Science
Strong API and data modeling skills, including designing schemas and interfaces that evolve gracefully
Ability to navigate ambiguity and break product vision into concrete technical milestones
Excellent communication skills, including writing clear design documents and explaining tradeoffs to product partners
Track record of shipping high-quality systems
Experience with C#, React, and AWS technologies

Benefits

Comp & perks

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