About the company
ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow—helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together.
About the role
This role requires in-office presence in Mountain View, CA 5x/week
The Developer Experience team builds platforms that enable developers building on the Moveworks Agentic AI platform. We own the flywheel: more builders → more integrations shipped → better assistant → more demand. We build scalable infrastructure first, then the products on top of it. Platform engineering discipline meets developer-facing product thinking.
You own the technical foundation the team ships on. You design and build the hardest platform problems — generality, scalability, extensibility — while keeping developer experience as the measure.
Responsibilities
- Design and build core developer platforms: SDKs, APIs, runtime abstractions, tooling infrastructure, developer-facing services
- Own end-to-end delivery of products that increase developer productivity
- Define platform primitives other products build on — bias toward generality, reliability, clean abstractions
- Drive measurable supply metrics: developer activation, integration velocity, artifact quality, ecosystem breadth
- Lead technical strategy for your platform areas: roadmap, API design, cross-team alignment
- Set the engineering bar: architecture, design standards, observability, operational excellence
- Mentor senior engineers; raise the team's technical depth
Requirements
- 12+ years designing, building, operating production systems; significant platform or infrastructure team experience
- Experience leading design and multi-year operation of developer platforms that reached 100+ external teams
- Deep expertise in distributed systems: reliability, API design, performance, fault tolerance, observability
- Strong systems engineer with fluency in production microservices environments at scale
- Built general-purpose platforms other engineers depend on
- End-to-end ownership: you design, code, debug in production, iterate based on real feedback
- Navigate tradeoffs with incomplete data
- Understand developer activation funnels and feedback loops
Nice to have
- Familiarity with LLM-based architectures or agent orchestration patterns
- Experience with enterprise developer environments: auth, sandboxing, compliance, multi-tenancy constraints
Conditions
- Base pay of $190,900 - $334,100, plus equity