Senior Product Manager, Applied AI

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 View email address on click.appcast.io . Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Metropolis’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval, or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. #J-18808-Ljbffr Metropolis