Staff Product Manager - Internal AI
Leads strategy, roadmap, and delivery of internal AI products to transform enterprise IT operations like helpdesk, automation, and decision support. Requires 10+ years product management with 3+ in AI/ML, IT expertise, and stakeholder collaboration.
About the job
Key Responsibilities
AI Product Strategy & Roadmap
- Define and execute the internal AI product strategy aligned with enterprise IT and business goals
- Own multiple product lines in the internal AI product space
- Prioritize high-value use cases across IT functions (helpdesk, infrastructure, security, applications, enterprise data)
- Balance quick wins (AI copilots) with longer-term bold initiatives (AI-driven automation and decision-making)
- Experience in implementing AI solutions for enterprises our size and scale, including enabling agentic platforms and best practices
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
- 10+ 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)
Skills
AI/ML, OpenAI, Anthropic, Azure Ai, Aws Ai, Google Cloud Ai, Zendesk, Successfactors, Salesforce, Product Roadmap, Backlog Management
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