Zocdoc: Staff Platform Engineer, AI Enablement — New York, NY

Zocdoc lists a Staff Platform Engineer, AI Enablement opening in New York, NY. The job description covers AWS, CI/CD, AI, compliance, insurance, investment, sales.

Recruitment overview

OrganisationZocdoc
Post / roleStaff Platform Engineer, AI Enablement
DepartmentTechnology
Employment typeNot specified
Notification / job ID7994223
Job locationNew York, NY
Work arrangementNot specified
Educational qualificationDegree / qualification: Hold a Bachelor's degree in CS, Math, Engineering, or a related field (or equivalent practical experience)
Experience requiredHave 7+ years of experience building or evolving internal developer platforms, productivity tooling, or CI/CD systems used by multiple teams
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Zocdoc

Zocdoc develops technology that helps patients find and book healthcare appointments. Its employer introduction describes both a healthcare marketplace and infrastructure supporting access to care through other search and provider channels. The stated focus is the path from seeking care to obtaining an appointment. Its work includes making booking accessible beyond its own marketplace, connecting patient-facing discovery with the systems used by healthcare providers and other organisations to make available appointments easier to reach.

The position and its setting

Zocdoc lists Staff Platform Engineer, AI Enablement in New York, NY, under reference 7994223. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Department: Technology
  • Employer listing date: 15 June 2026

Responsibilities and work described

  • At Zocdoc, we're on a mission to give power to the patient — and that starts with enabling every person at Zocdoc to build, ship, and leverage technology safely, confidently, and with leverage
  • This role sits within the Infrastructure organization
  • The role emphasizes hands-on technical leadership (~80%) with meaningful input into platform direction (~20%)
  • Your work will abstract operational complexity, define guardrails for safe AI usage, improve testability and safety, and streamline the builder journey across both software-engineering and non-engineering surfaces
  • Design: and build platform services and solutions that are secure, scalable, and intentionally easy to use — including CI/CD pipelines, developer tooling, shared infrastructure patterns, and AI-powered developer workflows
  • Contribution: to the technical direction of Zocdoc's internal developer platform, including paved roads, tooling, and shared workflows for both engineering and non-engineering builders
  • Building: and maintain opinionated platforms and guardrails that enable non-technical teams to safely create, share, and operationalize AI tools — without introducing security vulnerabilities, access control failures, or operational bottlenecks
  • Define and evolve the software development lifecycle for non-traditional builders: access controls, credential management, testing patterns, on-call/support paths, and contribution workflows
  • Collaboration: across teams to understand real developer pain points and non-technical stakeholder needs; validate platform bets; and drive adoption of platform capabilities across both audiences
  • Own and deliver high-impact platform investments end to end — from problem framing through implementation and rollout
  • Improvement: measurable outcomes such as build times, deployment safety, AI tool adoption rates, and operational simplicity
  • Champion platform-as-product thinking by treating internal engineers and non-technical builders as first-class users — and continuously refining the experience based on their feedback
  • Advance platform capabilities in AI-assisted development, helping shape how all Zocdoc builders use AI in their daily workflows with the right guardrails for safety, quality, and testability
  • Work: with cutting-edge generative AI tools and technology to accelerate platform development and model best practices for the broader organization
  • Mentor engineers and technologists across the business and raise the bar for technical design and code quality
  • Quality / delivery: platform patterns align with security, compliance, and reliability expectations without becoming a bottleneck

Essential requirements and candidate background

  • Enjoy building platforms that enable productivity, consistency, and autonomy for diverse audiences
  • Enjoy learning and teaching others about leveraging AI-based technologies to achieve real-world results
  • Are motivated by making other people more effective; not just shipping your own features
  • Like designing cohesive developer and/or non-technical experiences that teams actually want to adopt
  • Care deeply about empathy, usability, and reducing cognitive load
  • Prefer solving real problems through thoughtful design, iteration, and collaboration
  • Are comfortable translating complex technical concepts for non-technical stakeholders — and enjoy doing it
  • Find satisfaction in building systems that scale predictably and help others succeed
  • Thrive in environments with ambiguity, frequent change, and evolving prioritization — and bring clarity where there was none
  • Are a natural collaborator
  • Have 7+ years of experience building or evolving internal developer platforms, productivity tooling, or CI/CD systems used by multiple teams
  • Have designed and operated distributed systems in AWS or similar cloud environments
  • Bring judgment around platform abstractions and APIs — knowing when to standardize and when to stay flexible
  • Can take ambiguous problems, break them into deliverable pieces, and drive them to measurable outcomes
  • Communicate technical trade-offs clearly to both technical and non-technical audiences — translating engineering concepts into terms that resonate with stakeholders outside of software development
  • Treat adoption as a first-class engineering problem, not an afterthought — and know that adoption across non-technical teams requires an even higher bar of empathy and communication
  • Have experience (or strong, informed opinions) building guardrails, access controls, and safe onboarding paths for non-engineers using AI tools
  • Are motivated by enabling other engineers and non-technical builders to work reliably, safely, and with confidence
  • Value learning, curiosity, and operational excellence — and model those qualities for the team
  • Are comfortable in fast-moving, high-change environments where priorities evolve and alignment requires active investment

Education and qualification routes

  • Degree / qualification: Hold a Bachelor's degree in CS, Math, Engineering, or a related field (or equivalent practical experience)

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

  • NYC Base Salary Range: $210,000 — $270,000 USD
  • Advertised location: New York, NY

Benefits mentioned by the employer

  • Flexible work environment for those based in NYC (Role is open to remote)
  • Unlimited Vacation
  • 100% paid employee health benefit options (including medical, dental, and vision)
  • 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
  • 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

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Staff Platform Engineer, AI Enablement vacancy is not an offer for reference 7994223; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Zocdoc

Applications follow the official employer page linked below.

Open the official Zocdoc posting below and match the title and reference 7994223.

Compare your qualifications and experience with the essential conditions for the New York, NY position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: CI/CD

CI/CD experience should describe the path from a proposed change to a release. Identify the checks, build artefacts and deployment steps you worked on, together with the problem the pipeline solved.

Relevant skills

  • CI/CD
  • AWS
  • APIs
  • AI/ML
  • AI
  • compliance
  • insurance
  • investment
  • sales
  • stakeholder management

Important links

Official notification / job descriptionOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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