Staff Product Manager, AI

About the Role

The role entails working closely with cross-functional teams, including engineering, design, data, and GTM, to design systems that integrate AI synthesis, data capture, and workflows. You will need to define what good AI looks like in a trust-critical product, ensuring transparency, evidence-backed decision-making, and user control.

What You Will Do

• Own and scale a new area of the AI-native suite, from early product development to broad adoption
• Design systems, not features, focusing on the full loop from data capture to AI synthesis and workflows
• Define what good AI looks like in a trust-critical product, ensuring transparency, evidence-backed decision-making, and user control
• Partner deeply with Reviews, Grow, and Calibration teams to integrate AI into core Lattice products
• Lead through ambiguity and own the hardest product questions
• Collaborate with stakeholders to align on product vision and strategy
• Develop and execute GTM strategies to drive adoption and revenue growth
• Work closely with the data team to analyze product performance and inform data-driven decisions
• Stay up-to-date with industry trends and advancements in AI and machine learning

What We Are Looking For

• 7 to 12+ years of experience building complex, data-rich, or workflow-heavy products
• A builder mindset with the ability to prototype, work in design tools, and use modern AI tools to accelerate workflow
• Strong bias toward execution and iteration, with a focus on getting products in front of users and learning quickly
• Excellent prioritization skills, with the ability to identify high-leverage opportunities and focus teams accordingly
• High agency, ownership, and initiative, with a proactive approach to identifying and moving forward key projects
• Experience building 0→1 products, ideally in fast-moving AI-first environments, with a track record of demonstrating real impact
• Strong customer obsession, with a deep understanding of customer needs and the ability to shape decisions around them
• Strong product judgment, with a clear perspective on quality, trust, and user experience
• Experience with AI/ML, both in shipped products and in tools used for job tasks, with judgment about when not to use AI

Nice to Have

• Founder experience or very early-stage start-up experience, with a track record of moving through ambiguity to make progress
• HR tech, performance management, or internal tooling experience
• Background in developer tools or structured data ecosystems

Benefits and Perks

• Competitive compensation package
• Equity in a growing company
• Flexible PTO and remote work options
• Comprehensive health insurance
• Access to cutting-edge AI and machine learning tools
• Professional development opportunities, including training and education stipends
• Collaborative and dynamic work environment

• Develop a strong understanding of AI and machine learning principles, including their applications and limitations
• Showcase your ability to work in a fast-paced, ambiguity-rich environment, with a focus on execution and iteration
• Highlight your experience with GTM strategies and data analysis, with specific examples of how you've driven adoption and revenue growth
• Prepare to discuss your approach to customer obsession, including how you stay close to customers and inform product decisions around their needs
• Be ready to walk through your experience with AI/ML, including tools and technologies used, and your judgment about when to apply AI solutions
• Emphasize your ability to collaborate with cross-functional teams, including engineering, design, and data, to drive product development and adoption