Senior Product Manager, Applied AI

The role

You will lead internal product strategy and drive an AI-first operational transformation. You will partner with business leaders to identify bottlenecks and build scalable agentic workflows, internal applications, and automation systems.

What you will do

• Prioritize the internal Applied AI product roadmap
• Partner with business leaders to map workflows and identify automation leverage points
• Collaborate with AI Engineers to design and deploy internal applications, prompt pipelines, RAG implementations, and agentic workflows
• Define requirements, PRDs, and success metrics
• Lead agile product development cycles
• Oversee change management efforts for internal tool adoption
• Monitor production reliability and internal tool adoption
• Prototype solutions directly

Required qualifications

• 6+ years of product management or technical product leadership experience
• 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, and RAG architectures
• Hands-on fluency building with AI tools including prompt engineering, AI coding agents, and rapid prototyping
• Working familiarity with modern data architectures, data pipelines, and cloud infrastructure, including SQL, Snowflake, and AWS
• Exceptional communication and stakeholder management skills
• Strong instincts for change management and user empathy
• Entrepreneurial drive and a strong bias toward shipping fast and testing iteratively

Nice to have

• Previous experience managing third-party vendor selection, evaluation, and integration for enterprise AI or software solutions
• Experience scaling internal productivity tools or AI agents within high-growth technology companies
• Computer Science, Data Science, or related technical background
• Direct familiarity with enterprise security, compliance, and governance frameworks around enterprise AI usage
• Background operating in hyper-growth startups or environments managing rapid organizational change

Benefits

• Healthcare benefits
• 401(k) plan
• Short-term and long-term disability coverage
• Basic life insurance
• Stock option plan
• Bonus plans

Before you apply

• Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy

About the company

Metropolis is creating artificial intelligence to make the real world responsive. They are building an ecosystem of technologies at the intersection of parking, mobility, and real estate.