Responsibilities

• Define and own the product strategy for AI-enabled internal platforms that support the full product development lifecycle.
• Reimagine how teams move from product planning → development → launch → measurement through intelligent workflows, AI copilots, and integrated tooling.
• Identify friction points, repetitive manual work, and operational inefficiencies, then deliver AI-driven solutions that improve productivity and decision-making.
• Partner with engineering, infrastructure, and data teams to build scalable internal systems enhanced with automation, generative AI, and workflow intelligence.
• Introduce AI-powered capabilities such as:
• — Automated project and launch coordination
• — AI-generated summaries, documentation, and status updates
• — AI-assisted experimentation analysis and rollout recommendations
• Help define how AI is embedded into internal PM and operational workflows across the organization.
• Drive adoption of AI-enabled tooling and establish best practices for AI-assisted product development workflows.
• Serve as a thought partner on the future of AI-enabled product development operations and internal developer productivity.

Requirements

• 5+ years of product management experience working on internal platforms, developer tools, operational systems, or AI-enabled workflow products.
• You deeply understand the product development lifecycle and have experience building systems that support planning, development, experimentation, release management, and measurement workflows.
• You are excited about applying AI to improve how teams work and have experience evaluating or implementing AI-driven tooling, automation, copilots, or workflow intelligence.
• You are highly collaborative and able to align stakeholders across Product, Engineering, Infrastructure, Data, and GTM teams.
• You use data and operational metrics to evaluate product outcomes and identify opportunities for optimization and automation.
• You bring a systems-thinking mindset and understand how workflows, tools, data, and teams connect across an organization.
• You are energized by improving developer and product team productivity through intelligent systems and AI-enhanced experiences.
• You are comfortable operating in ambiguity and helping organizations define how AI should responsibly and effectively augment internal workflows.

Preferred

• Experience working in high-growth SaaS environments
• Experience building or integrating AI copilots, workflow automation, or internal AI tooling
• Familiarity with LLM-powered products, prompt workflows, or AI orchestration systems
• Experience with developer productivity or developer experience platforms
• Background in engineering, technical product management, data platforms, or developer tooling
• Experience driving AI adoption and change management within product or engineering organizations