Sr AI Product Manager

Information Security Responsibilities

• 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

Core Responsibilities

• Product Strategy & Ownership
• 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
  AI Product Development
• 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
  Execution & Delivery
• 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
  AI Quality & Evaluation
• 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
• Adoption & Change Management
• 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
• Stakeholder Leadership
• 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
   

Qualifications

• Product & Execution
• 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
• AI & Technical Depth
• 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
• Adoption & Business Impact
• 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
• Leadership & Communication
• 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