--- title: 'Senior Product Manager, Applied AI at Metropolis' canonical: 'https://feeny.ai/job/senior-product-manager-applied-ai-metropolis-los-angeles-6pncjzchdsmw' type: 'job' last_seen: '2026-10-28' --- # Senior Product Manager, Applied AI at Metropolis - **Company:** Metropolis - **Location:** Los Angeles, CA - **Posted:** 2026-10-27 - **Last confirmed live:** 2026-10-28 - **Apply:** https://job-boards.greenhouse.io/metropolis/jobs/7741580003 ## Job description ## 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 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. ## What you'll do - 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 ## What we're looking for - 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 While not required, these are a plus: - 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 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $180,000.00 USD to $205,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AR1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs — without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law. We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io. ## About Metropolis ## Company Overview - **One-liner**: Metropolis is an artificial intelligence company that uses computer vision to create checkout-free, frictionless payment and access experiences for physical infrastructure, primarily parking. - **Entity Type**: Private (raised $1.8B in 2023-2024, plus $1.6B in debt financing in 2025) - **Headquarters**: Santa Monica, California, USA - **Founded**: 2017 - **Founders**: Founding team established the company in 2017 (individual founder names not prominently featured in primary company materials) ## Core Business - Primary industry/industries: Smart Mobility, Computer Vision AI, Parking Infrastructure, Real-World Technology - Target customers: B2B (real estate operators, parking lot owners, property managers), B2C (drivers who park at Metropolis-enabled locations) - Mission or purpose statement: "We're reimagining how we live our lives by developing artificial intelligence for the real world, creating an intelligence layer that powers frictionless, precognitive, personalized experiences everywhere." ## Products & Services - **Metropolis Recognition Platform**: An AI-driven, computer vision-based platform that enables checkout-free, drive-in/drive-out parking. The technology recognizes vehicles and members automatically, eliminating the need for tickets, kiosks, or app interaction at entry and exit. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total Funding – $1.8B raised (Series B and later financing in 2023-2024), plus $1.6B in financing in 2025. This was cited as the third-largest AI fundraise in 2023 and the largest venture-backed M&A deal of the year. - **Notable Investors/Partners**: Not explicitly listed in provided materials, but the scale of fundraising and the take-private acquisition of SP+ indicates backing from major institutional investors. - **Growth Signals**: - Became the largest parking network in North America following the take-private acquisition of SP+ in 2024, with over 4,500 locations. - Over 1 million new members added every month. - Saved members 212+ million minutes through frictionless parking. - Reaches more than 50 million customers. - Named to Forbes' list of America's Best Startup Employers. ## Competitive Advantages - **Proprietary Computer Vision Technology**: The company’s primary moat is its industry-leading AI that enables checkout-free, recognition-based access without requiring users to scan, tap, or use an app. - **Scale as the Largest Parking Operator**: Through the SP+ acquisition, Metropolis now operates the largest parking network in North America, creating an unmatched physical footprint and data advantage. - **Data Network Effect**: Each parking transaction feeds the AI model, making the platform smarter and more responsive over time across thousands of locations. ## Strategic Focus - **Expanding the "Recognition Economy"**: Metropolis is focused on building a platform that goes beyond parking to make all real-world infrastructure responsive, personalized, and frictionless. - **AI-Driven Infrastructure**: The company is developing an "intelligence layer" for physical spaces, aiming to eliminate repetitive, analog tasks in everyday life (e.g., payments, access control). - **Growth Through M&A**: The acquisition of SP+ was a landmark deal that instantly scaled the network, and the company continues to seek integration and expansion opportunities. ## Why Work Here - **Office-First Culture**: Metropolis values in-person collaboration. Corporate team members are required to be on-site at least four days a week. Offices are located in Santa Monica (HQ), Austin, Chicago, Nashville, New York, Seattle, and Chennai, India. - **Best-in-Class Benefits**: The company offers a generous PTO package, paid holidays (with double pay for those working), parental leave, a 4% 401(k) match, subsidized health insurance, wellness benefits, short- and long-term disability coverage, and life insurance. - **Compensation**: Stock option plan and bonus plans are available for all employees. Example base salary for a Senior Data Engineer in Seattle is listed at $160,000/year (actual base salary is determined by role, experience, and location). - **Culture**: Three core values drive the company: We are leaders, We are innovators, and We are owners. The culture emphasizes agility, iteration, ownership, and challenging each other with respect. - **Scale & Impact**: Employees work on a platform used by 50 million people, with massive real-world infrastructure and an AI-first approach. The company is growing rapidly and is described as "product-led" and "transformational." - **Open Roles**: As of mid-2026, the company has 130 open positions, with significant hiring in Engineering (Cloud Infrastructure, Machine Learning, Software Engineering) and Data Engineering. ## Sources 1. [metropolis.io (Homepage)](https://www.metropolis.io/) 2. [metropolis.io (About/Company)](https://www.metropolis.io/about) 3. [metropolis.io (Careers)](https://www.metropolis.io/careers) 4. [Greenhouse (Metropolis Jobs)](http://job-boards.greenhouse.io/metropolis) 5. 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