Product Manager, Agent Builder
Confirmed live in the last 24 hours
Sierra AI
Job Description
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, Japan, 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.
About the role
We’re looking for a Product Manager for Agent Builder: the core environment where agents are created, tested, and improved.
Agent Builder brings together the full agent development experience — journeys, chat, simulations, workspaces, packages, and AI copilots like Ghostwriter and Explorer — into a unified system. It reflects Sierra’s Agent Development Life Cycle: Analyze → Build → Test → Release, repeated continuously to improve agent quality.
As PM for Agent Builder, you will define how teams actually build agents in practice. You’ll shape the systems that turn ideas into working behaviors, enable rapid iteration, and allow agents to continuously improve over time.
This is a zero-to-one and scaling role at the center of Sierra’s product.
What you'll do
Define the agent building experience - Shape how users move from idea → implementation across journeys, chat, and workflows. Create clear abstractions for building complex agent behavior without unnecessary friction.
Own the Agent Development Life Cycle - Design how users analyze conversations, make changes, test improvements, and release updates. Ensure the loop between build → test → learn is tight, fast, and intuitive.
Build simulation and testing systems - Define how agents are validated before deployment. Create tools for simulating real-world scenarios, identifying failures, and improving performance with confidence.
Design reusable systems through packages - Define how integrations, skills, and agent behaviors are packaged, discovered, and reused. Enable users to compose sophisticated agents from modular building blocks that improve over time.
Integrate AI copilots into the workflow - Work closely on how Ghostwriter (build) and Explorer (analyze) fit into Agent Builder. Decide what is automated vs user-driven, and how AI augments each step of the workflow.
Make agent quality measurable and actionable- Define evaluation frameworks and feedback systems so users can understand performance and systematically improve their agents.
What you'll bring
3+ years of product management experience, ideally working on developer platforms, AI systems, or complex technical products
Strong technical depth - Ability to engage deeply with engineers on system design (e.g., simulation systems, evaluation frameworks, APIs, and platform architecture)
Experience building 0→1 products or platforms - Comfortable defining new abstractions and workflows in ambiguous spaces
Experience working with AI systems - Fami
