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Overview
Lead / Manager

Product Manager, Agent Memory

Confirmed live in the last 24 hours

Sierra AI

Sierra AI

San Francisco, CA
On-site
Posted February 11, 2026

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. 

What you’ll do

  • Build the Memory Layer for Enterprise AI Agents: Lead development of Agent Memory – the system that enables AI agents to remember and personalize interactions across conversations. Transform one-off exchanges into continuous relationships that drive measurable business outcomes at scale.

  • Solve Complex Challenges: Balance competing stakeholder needs – end users expecting personalization, operations teams requiring compliance, and developers needing flexible integration patterns.

  • Pioneer Memory Architecture: Define how AI agents should remember – from session continuity to long-term relationships. Tackle novel problems including intelligent consolidation, context retrieval, and privacy-preserving personalization.

  • Collaborate: Partner with engineering on distributed systems, ML teams on retrieval and embedding technologies, and infrastructure teams on scalable storage solutions.

  • Advise: Become trusted and strategic advisor to our customers, in partnership with our sales, go-to-market, and forward-deployed teams.

  • End-to-End Ownership: Lead the product through all stages from concept to excellent execution, in close collaboration with cross-functional partners.

What you’ll bring

  • Proven Experience: Extensive experience in product, engineering or related field, with background leading products from ideation to launch.

  • Curiosity: Passion for deeply understanding user needs and finding the right solutions from first principles. Ability to operate in high ambiguity and build new, 0–1 bets.

  • Excellent Collaboration: Product is a team sport, and building great products means working closely with engineering, design, customers, leadership, and more to help bring ideas to life.

  • Excellent Communication: Strong verbal and written communication skills, with the ability to articulate complex problems, concepts and decisions to various stakeholders.

  • Strong Values Alignment: Embodies our values and culture.

  • Adaptability and Resilience: Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace.

Even Better...

  • Experience designing for AI-driven products or conversational interfaces.

  • Experience working on databases, retrieval systems, or personalization engines.

  • Experience with Typescript, React, and other programming languages.

Our values

  • Trust: We build trust with our customers with our accountabil

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