Senior IT Product Manager for Internal AI

We are seeking a highly skilled Senior IT Product Manager for Internal AI to drive the strategy, delivery, and adoption of AI-powered solutions across our enterprise IT landscape. This role will be pivotal in shaping how AI transforms our internal operations, from service delivery and knowledge management to automation and decision support. The ideal candidate has a proven track record of managing enterprise-scale AI/ML products, collaborating across IT and business functions, and delivering measurable impact. We are looking to speak to candidates who are based in San Francisco, CA or Palo Alto, CA for our hybrid working model. Key Responsibilities AI Product Strategy Roadmap Define and execute the internal AI product strategy aligned with enterprise IT and business goals Prioritize high-value use cases across IT functions (helpdesk, infrastructure, security, applications, enterprise data) Balance quick wins (AI agents) with longer-term bold initiatives (AI-driven automation and decision-making) Experience in implementing AI solutions for enterprises our size and scale. This should include enabling agentic platforms for organizations and bringing to the table the best practices, pitfalls and learnings from such experiences Product Management Execution Embrace the product mindset and own the lifecycle of AI products—from ideation, critical user journey definition, requirements gathering, vendor evaluation, prototyping, and implementation to scaling in production Define and manage product backlogs, roadmaps, and success metrics Drive adoption and ensure AI solutions are delivering measurable outcomes (efficiency, cost savings, user experience) Stakeholder Engagement Partner with IT leaders (Applications, Infrastructure, Security, Service Desk) to identify pain points and AI opportunities Collaborate with business stakeholders to ensure alignment and secure sponsorship for AI initiatives Communicate product vision, progress, and value realization to executive leadership Governance Risk Management Ensure AI adoption complies with enterprise governance, security, privacy, and compliance standards Work with data teams to ensure responsible AI practices and guardrails are in place Team Leadership Evangelism Serve as a thought leader and evangelist for AI within IT, driving awareness, education, and adoption Mentor junior product managers and contribute to building a culture of innovation in IT Qualifications 7+ years of product management experience, with at least 3 years in AI/ML, automation, or enterprise IT solutions Strong understanding of IT service delivery, enterprise applications, and internal operations Demonstrated success delivering AI or advanced analytics products at scale in a corporate environment Experience with AI platforms (e.g., OpenAI, Anthropic, Azure AI, AWS AI, Google Cloud AI) and integration with IT systems (ZenDesk, SuccessFactors, Salesforce, etc.) Excellent communication and stakeholder management skills, with ability to influence at all levels Familiarity with responsible AI practices, data governance, and compliance requirements Bachelor’s degree in Computer Science (preferred), or related field (MBA or advanced degree preferred) Success Measures Delivery of high-value AI use cases that improve IT efficiency and business outcomes Adoption of AI solutions across IT teams and end users Measurable cost savings, productivity improvements, and enhanced employee experience Positive feedback from stakeholders on AI innovation and impact About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our ... (truncated, view full listing at source)