Staff Platform Engineer (AI Enablement)
- Source: Greenhouse
- Zocdoc
- $210,000 to $270,000 /yr
- On-site
- New York City
- Full-Time
- Staff
Job Description
- As a Staff Platform Engineer focused on AI Enablement, you will design, build, and evolve the foundational systems, tooling, guardrails, and paved roads that create leverage across our engineering organization and beyond — accelerating delivery while improving reliability, consistency, and developer experience
- Critically, this role has a wider aperture than most platform roles: you will own AI enablement for both technical and non-technical stakeholders, building opinionated platforms and safe onramps that allow every builder at Zocdoc — regardless of their engineering background — to harness AI tools productively and securely
- This role sits within the Infrastructure organization. You will collaborate across the business to turn platform strategy into practical, adoptable solutions — working side by side with a parallel squad focused on the technical engineering audience, and bridging the gap between engineering-grade tools and the non-technical teams (People, Operations, Sales, Finance, and others) who increasingly build and depend on AI-powered workflows
- 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
- Contribute to the technical direction of Zocdoc’s internal developer platform, including paved roads, tooling, and shared workflows for both engineering and non-engineering builders
- Build 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
- Collaborate 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
- Improve 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
- Ensure platform patterns align with security, compliance, and reliability expectations without becoming a bottleneck
- ~20% Strategy and Influence (contributing to platform direction, participating in cross-team alignment, surfacing trade-offs and priorities)
- ~80% Hands-On Technical Leadership (designing and building platform capabilities, reviewing architecture and code, partnering with teams on adoption and iteration)
Benefits
- 100% paid employee health benefit options
- Vacation and parental leave packages
- Lunch and snacks on us (in-office)
- Cell phone reimbursement
- Corporate wellness programs with Headspace and Peloton
- Employer funded 401(k) match- Hold a Bachelor’s degree in CS, Math, Engineering, or a related field (or equivalent practical experience)
- Can take ambiguous problems, break them into deliverable pieces, and drive them to measurable outcomes
- Have integrated generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity
- Are motivated by enabling other engineers and non-technical builders to work reliably, safely, and with confidence
- Have experience (or strong, informed o…
Skills
- guardrails
- abstract
- streamline
- headspace
- peloton
- amazon-web-services
- resonate
- thrive
- greenhouse
