Senior Product Manager, Metropolis

• 6+ years of product management or technical product leadership experience, with at least 2 years focused on shipping AI-powered applications, LLM implementations, or process automation systems
• Proven track record of driving internal process transformations, operational optimizations, or building software tools for internal business stakeholders
• Practical understanding of modern AI capabilities, including LLMs, prompt systems, agentic patterns (tool calling, multi-step reasoning), and RAG architectures
• Hands-on fluency building with AI tools yourself — prompt engineering, AI coding agents, and rapid prototyping — not just directing engineers on what to build
• Working familiarity with modern data architectures, data pipelines, and cloud infrastructure, including SQL, Snowflake, and AWS
• Exceptional communication and stakeholder management skills, with a demonstrated ability to translate complex technical concepts to non-technical business leaders
• Strong instincts for change management and user empathy to ensure non-technical teams successfully transition to AI-first workflows
• Entrepreneurial drive and a strong bias toward shipping fast, testing iteratively, and solving open-ended problems in a fast-paced environment

Desirable

• Metropolis is seeking a Senior Product Manager, Applied AI to lead internal product strategy and drive an AI-first operational transformation across the company
• In this role, you will be dedicated entirely to internal-focused AI initiatives, partnering directly with business leaders across Finance, Operations, Go-To-Market, and beyond to identify high-leverage bottlenecks and eliminate process friction
• You are a deeply analytical, product-driven leader who operates comfortably at the intersection of complex operational workflows and modern AI architecture
• You bring the same product rigor as our core product team (clear PRDs, disciplined roadmapping, and structured discovery) while flexing to a scrappier, sometimes vendor-heavy motion when the work calls for moving fast on AI-first initiatives
• Working side-by-side with AI Engineers and vendors, you will turn operational challenges into scalable agentic workflows, internal applications, and automation systems that deliver measurable business impact
• Prioritize the internal Applied AI product roadmap, translating ambiguous business challenges into prioritized engineering specifications and AI-first solutions
• Partner deeply with business leaders across Finance, Operations, and GTM to map existing workflows, identify automation leverage points, and drive internal technology adoption
• Collaborate closely with AI Engineers to design, scope, and deploy internal applications, prompt pipelines, RAG implementations, and agentic workflows
• Define clear requirements, PRDs, and quantifiable success metrics for every transformation, tracking outcomes such as time savings, error reduction, and cost impact
• Lead agile product development cycles, gathering direct feedback from internal users to continuously iterate on deployed AI tools and improve output quality
• Oversee change management efforts to ensure new internal tools and systems are seamlessly adopted across business units for sustained impact
• Monitor production reliability, internal tool adoption, and the overall business value delivered by deployed systems
• Roll up your sleeves to prototype solutions directly, rather than only writing specs for others to build