Sierra College

Sierra College

Product Manager, Agent Studio

San Francisco, CA · Full-time

Sponsorship not specifiedDetected 98 days ago
LLMsProduct ManagementSalesforceAR/VR

About the role

  • We're looking for a Product Manager for Agent Studio: the core environment where agents are created, tested, and improved.
  • Agent Studio brings together the full agent development experience - journeys, chat, simulations, workspaces, packages, and AI copilots like Ghostwriter and Explorer - into a unified system.
  • You'll shape the systems that turn ideas into working behaviors, enable rapid iteration, and allow agents to continuously improve over time.

Responsibilities

  • 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 Studio. Decide what is automated vs user-driven, and how AI augments each step of the workflow.
  • 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 - Familiarity with LLMs and the challenges of building, testing, and iterating on non-deterministic systems
  • 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.

Requirements

  • Strong product instincts for builder tools - You have taste in developer experience and can balance power, flexibility, and usability

Compensation

  • These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans.

Benefits

  • We want our benefits to reflect our values and offer the following to full-time employees:
  • Flexible (unlimited) paid time off
  • Medical, dental, and vision benefits for you and your family
  • Life insurance and disability benefits
  • Retirement plan dependent on country of employment
  • Parental leave
  • Fertility and family building benefits through Carrot
  • Discretionary benefit stipend giving people the ability to spend where it matters most
  • These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans.
  • Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.

Company info

  • 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 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.
  • 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 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.

Visa & Work Authorization

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This listing is sourced directly from Sierra College's careers page and normalized into a canonical job model.