Product Manager, Intelligence

Sierra • San Francisco, CA

3d • Onsite

About The Position

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, France, Singapore, and Japan.
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.
Build the Intelligence Layer for Enterprise AI Agents: Lead development of Agent Intelligence – the decisioning system that enables AI agents to take optimal actions based on business context, user intent, and predicted outcomes. Transform reactive support into proactive, value-driving interactions at scale.
Solve Complex Challenges: Balance competing stakeholder needs – end users expecting helpful recommendations, operations teams requiring control and explainability, and developers needing flexible decisioning frameworks.
Pioneer Agent Decisioning Architecture: Define how AI agents should decide what actions to take – from real-time next-best-action selection to long-term outcome optimization. Tackle novel problems including contextual decisioning, multi-objective optimization, and interpretable AI reasoning.
Collaborate: Partner with engineering on decisioning systems, ML teams on predictive models and reinforcement learning, and data teams on analytics and experimentation frameworks.
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.

Requirements

• 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.

Nice To Haves

• Experience designing for AI-driven products or conversational interfaces.
• Experience working on recommendation systems, decisioning engines, or optimization platforms.
• Experience with machine learning operations, A/B testing, or experimentation platforms.
• Experience with Typescript, React, and other programming languages.

Responsibilities

• Build the Intelligence Layer for Enterprise AI Agents
• Solve Complex Challenges
• Pioneer Agent Decisioning Architecture
• Collaborate
• Advise
• End-to-End Ownership

Benefits

• Flexible (Unlimited) Paid Time Off
• Medical, Dental, and Vision benefits for you and your family
• Life Insurance and Disability Benefits
• Retirement Plan (e.g., 401K, pension) with Sierra match
• Parental Leave
• Fertility and family building benefits through Carrot
• Lunch, as well as delicious snacks and coffee to keep you energized
• Discretionary Benefit Stipend giving people the ability to spend where it matters most
• Free alphorn lessons

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed