product
Posted Apr 15Product Manager, Agent Studio
at Sierra
San Francisco, United StatesOn-site
Responsibilities
- 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.
Requirements
- ABOUT US At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI.
- Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook.
- 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.
- 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 https://sierra.ai/blog/agent-development-life-cycle: Analyze → Build → Test → Release, repeated continuously to improve agent quality.
- 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 Studio.
- 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 working with AI systems - Familiarity with LLMs and the challenges of building, testing, and iterating on non-deterministic systems - Strong product instincts for builder tools - You have taste in developer