Sr AI Product Manager

• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
• Define and execute a clear, outcome-driven vision for AI-powered capabilities (copilots, recommendations, summarization, search/chat, workflow automation)
• Translate business goals into measurable product outcomes and prioritized roadmaps
• Identify high-impact use cases through deep customer and stakeholder discovery
• Translate complex AI/ML capabilities into simple, intuitive, and trustworthy user experiences
• Partner with engineering and data science to design and deliver solutions leveraging LLMs, RAG, and agentic architectures
• Define AI system behavior, including inputs/outputs, confidence handling, fallback logic, and UX for uncertainty
• Drive end-to-end execution with strong ownership and urgency
• Make high-quality product and technical tradeoffs (MVP vs scale, speed vs quality)
• Manage cross-functional dependencies across engineering, design, data science, and business teams
• Own evaluation frameworks (offline and online), including quality metrics, human review, and experimentation
• Ensure systems meet standards for accuracy, latency, reliability, and user trust
• Continuously improve performance through iteration and data-driven insights
• Own adoption as a primary success metric, not just delivery
• Design onboarding, enablement, and feedback loops that drive behavior change
• Track and optimize engagement, usage, and business impact metrics
• Navigate complex enterprise environments with multiple stakeholders, legacy systems, and constraints
• Influence without authority across product, engineering, sales, operations, and leadership teams
• Communicate clearly with executives, translating technical concepts into business impact

• 5–8+ years of product management experience in B2B or enterprise environments
• Proven track record of building and scaling products from zero to one
• Strong execution mindset with the ability to operate in ambiguity and deliver quickly
• Hands-on experience shipping AI/ML or generative AI features in production
• Strong working knowledge of LLMs, RAG systems, and agentic workflows
• Experience defining evaluation frameworks, experimentation strategies, and AI performance metrics
• Ability to collaborate deeply with engineering and data science on system design and tradeoffs
• Demonstrated success driving adoption in complex, change-resistant environments (e.g., sales, operations)
• Strong analytical skills with the ability to connect product decisions to measurable business outcomes
• Deep product instincts, can distinguish high-impact solutions from low-value AI use cases
• Excellent communication and storytelling skills across technical and executive audiences
• High ownership mentality with a bias for action, resilience, and accountability
• Ability to influence and align cross-functional teams without formal authority

Pay range: $130K - $140K