Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
Metropolis is seeking a Director of Applied AI to lead our newly formed Applied AI organization and architect an AI-first operating model from the ground up. You are a technical leader with a rare blend of engineering depth, organizational influence, and a relentless instinct for shipping production-ready systems. Reporting to senior leadership, you will define where AI creates the most leverage across our business—including finance, operations, and GTM—and build the high-performing team of AI Engineers and Process Analysts required to make that vision a reality. Your success will be measured by your ability to partner cross-functionally to redesign core processes, eliminating friction and delivering tangible outcomes in time savings and cost impact.
What you'll do
- Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM
- Hire, develop, and lead a team of AI Engineers and Process Analysts while establishing a culture of fast iteration
- Partner deeply with functional leaders to understand current work flows and design AI-first solutions to eliminate friction
- Set standards for how the team designs, evaluates, and deploys AI workflows, including prompt systems and LLM integrations
- Establish metrics for each process transformation and hold the team accountable to time savings, error reduction, and cost impact
- Serve as the internal authority on applied AI capabilities, tooling trends, and emerging best practices
- Present strategy, progress, and results to senior leadership and the executive team
What we're looking for
- 7+ years of experience in software engineering, AI/ML, or technical product leadership
- At least 2 years leading teams that shipped AI-powered systems in production
- Maintain deep hands-on familiarity with LLMs, agentic workflows, and AI automation tooling such as OpenAI, LangChain, and vector databases
- Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions
- Show a track record of driving organizational change through technology and ensuring tools are adopted for sustained impact
- Apply experience working across functional boundaries to redesign processes with strong instincts for change management
- Utilize excellent communication skills to distill complex AI concepts for a non-technical executive audience
- Maintain a bias toward shipping by moving fast and setting clear expectations for high standards
Our Stack
- Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
- Datastores: MySQL, PostgreSQL, Snowflake
- Cloud: AWS
- Version control: Git & GitHub
- AI Tooling: Copilot on GitHub and Claude Code
- Observability: Datadog