Product Manager, Intelligence

Product Manager, Intelligence 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, 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 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.  WHAT YOU’LL DO - 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. 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 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. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each oth ... (truncated, view full listing at source)