About us
At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
What you’ll do
Define the infrastructure platform: Shape the abstractions that power agent execution—including compute, storage, orchestration, and networking layers—making them scalable, reliable, and developer-friendly.
Own performance, reliability, and scale: Define how Sierra systems handle real-time workloads, high concurrency, and enterprise-grade uptime requirements. Set the bar for latency, availability, and fault tolerance.
Design developer primitives and tooling: Build the internal and external interfaces (APIs, SDKs, workflows) that engineers use to deploy, monitor, and iterate on agents.
Drive system architecture decisions: Partner closely with engineering to make tradeoffs across consistency, cost, performance, and complexity. Bring first-principles thinking to infra design.
Enable rapid iteration across the company: Ensure infrastructure accelerates product velocity, not slows it down — enabling teams to ship quickly without sacrificing reliability.
Work across the full stack of the platform: Collaborate with product, engineering, and GTM teams to ensure infrastructure supports real customer use cases and evolving product needs.
What you’ll bring
Deep technical product experience: building highly technical products, ideally across infrastructure, platform, or developer tooling
Strong systems intuition: Ability to reason about distributed systems, scalability, latency, and reliability from first principles
End-to-end product ownership: Track record of leading products from 0→1 and through scale, working closely with engineering and cross-functional teams
Excellent collaboration and communication: Ability to work deeply with engineers while clearly articulating tradeoffs and decisions across stakeholders
Comfort with ambiguity and pace: Experience operating in fast-moving environments, building new systems with incomplete information
Even better...
Experience with distributed systems, infrastructure, or platform engineering (compute, storage, networking, orchestration)
Experience building developer platforms, APIs, or SDKs
Familiarity with modern AI/ML infrastructure or real-time systems
Some coding experience (e.g., Typescript, Go, Python)
Our values
Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
Craftsmanship: We get the details right, from the words on the p…
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