ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
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 a commitment to balancing Family along the way. 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 https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. 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
As Sierra’s founding Infrastructure Technical Program Manager, you’ll help define how we bring our AI platform into the cloud environments of some of the world’s largest and most regulated enterprises. Working alongside Agent Engineers, Deployed Infrastructure Engineers, and Agent Strategists, you’ll own the programs & strategy that takes customers from deployment planning to agents live in production, and continue to support the upgrades and expansion that follow. You’ll bring your technical program management expertise to enterprise AI while establishing the playbooks and ways of working that help this new function scale.
- Own the end-to-end program plan for a customer's in-VPC (Bring Your Own Cloud, BYOC) deployment. Translate customer requirements into a clear deployment plan, with clear workstreams, owners, milestones, and dependencies across Sierra and customer teams.
- Drive execution across many customer teams (platform engineering, cloud provisioning, security, networking, model access, observability) and build alignment across customer teams, establish clear commitments, and find creative ways to resolve blockers and keep deployments moving.
- Be the translation layer between our engineers and the customer's: define requirements such as model access, observability, and upgrade cadence, and turn technical discussions into actionable next steps.
- Run the operating cadence for the deployment (standups, weekly status, escalations) so leadership on both sides always knows what's blocked, who owns it, and what it means for the launch date.
- Partner with Sierra's Platform and Deployed Infrastructure teams to feed customer-specific learnings back into our standard deployment offering, runbooks, and tooling, making each subsequent launch more predictable and repeatable.
- Define the TPM function at Sierra as we scale & establish the playbooks, operating rhythms, and standards that future TPMs and customer teams will build on.
What you'll bring
- 4+ years in technical program management, infrastructure or platform program management, deployment or solutions engineering, or a similar role where you were accountable for delivering complex technical projects across multiple teams.
- A track record of bringing structure to complex technical programs, with strong attention to detail and the follow-through to turn plans into results.A strong technical foundation from infrastructure, platform, or complex backend programs. You can work through technical dependencies with engineers, understand how requirements such as networking, permissions, and provisioning affect delivery, and translate those discussions into a clear plan. You’ll deepen your knowledge of Sierra’s architecture and customer deployment environments as you ramp.
- Technical curiosity and slope: You demonstrate the ability to learn new systems quickly, you ask thoughtful questions, build context, and apply what you learn to move programs forward.
- Comfort operating inside large, complex enterprise organizations (change management, security reviews, ownership spread across many teams) with the persistence and resourcefulness to keep teams aligned and deployments moving .
- Clear, structured communication: you make complex technical topics, program status, and decisions understandable to engineers and leaders, and adapt your approach to your audience
- Degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
Even better....
- Hands-on engineering background (software, DevOps, SRE, or infrastructure) before moving into program or product management, or direct experience with AWS, VPCs, IAM, Kubernetes, or Terraform.
- Experience deploying software into customer-owned cloud environments (BYOC, VPC, or air-gapped), especially at banks or other regulated institutions.
- Familiarity with LLM infrastructure: model gateways, Bedrock or Azure OpenAI, observability for AI systems.
- Experience at an early-stage company where you built the program-management function from scratch.
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 every