It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
The AI Control Tower is ServiceNow's central hub for governing every AI model, agent, and dataset across the enterprise. We're building the infrastructure that enterprises will depend on as agentic AI moves from experiment to production. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Deep technical foundation in cloud-native SaaS architecture: multi-tenant design, large-scale API design (REST/gRPC), Kubernetes orchestration, observability patterns, and multi-cloud platforms (AWS, Azure, GCP)
- Distributed systems & event-driven architecture expertise, with focus on scalability, reliability, fault tolerance, and operational observability
- Startup mindset: Direct experience building and shipping products from zero—ideally in high-growth environments where you were hands-on with both code and architecture decisions
- AI-native engineering practices: Proficiency across the full engineering lifecycle (architecture, implementation, debugging, security, CI/CD) using AI to drive delivery velocity and software quality
- Technical influence without formal authority: Demonstrated ability to lead cross-team technical initiatives and drive architecture decisions through clear reasoning and credibility
- Hands-on mastery: Comfort operating at the highest architectural level while remaining deeply hands-on in code when it matters most
More about this role
The AI Control Tower is ServiceNow's central hub for governing every AI model, agent, and dataset across the enterprise. We're building the infrastructure that enterprises will depend on as agentic AI moves from experiment to production.
We're looking for a Principal Engineer who has built 1.0 products before: architecting from first principles, solving deep technical hurdles with early customers, and building technical foundations that compound adoption over time. You'll report to the Director of Engineering, AICT, and drive the technical architecture for critical product areas that will become standard infrastructure for how enterprises run AI at scale.
You are AI-native. You don't just understand AI conceptually — you use it daily, you build with it, and you bring that instinct into how your team designs and ships.
Technical Architecture & Leadership Lead the architectural design and implementation of core AICT platform components. You'll translate complex product requirements into scalable, observable technical plans and failure recovery patterns. You set the technical standard for how we build governance infrastructure.
1.0 to Adoption Drive the full arc from early release to...
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