Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Senior Product Manager, Applied AI role.
Rezi rewrites your resume against Metropolis's job description. Free.
Tailor your resume to this Senior Product Manager, Applied AI role.
Rezi rewrites your resume against Metropolis's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Product Manager, Applied AI posting at Metropolis — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Product Manager, Applied AI posting at Metropolis — free, in seconds.
About the Role
Metropolis is seeking a Senior Product Manager, Applied AI to lead internal product strategy and drive an AI-first operational transformation. This role focuses on internal AI initiatives, partnering with business leaders to identify bottlenecks and eliminate process friction. You will be a product-driven leader comfortable with operational workflows and AI architecture, applying product rigor to AI-first initiatives.
Responsibilities
- 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.
Requirements
- 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.
Skills
- AI-powered applications
- LLM implementations
- Process automation systems
- Modern AI capabilities
- LLMs
- Prompt systems
- Agentic patterns
- RAG architectures
- Prompt engineering
- AI coding agents
- Rapid prototyping
- Modern data architectures
- Data pipelines
- Cloud infrastructure
- SQL
- Snowflake
- AWS
- Change management
- Stakeholder management
Location
- 4 Days in Office
Work Type
- Onsite
Experience Level
- Senior
Education Level
- Computer Science
- Data Science
- Related technical background
Salary/Compensations
- $190,000.00 USD to $210,000.00 USD annually
Benefits
- Healthcare benefits
- 401(k) plan
- Short-term and long-term disability coverage
- Basic life insurance
- Lucrative stock option plan
- Bonus plans
About the Company
- 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.
- We are 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.
Equal Opportunity
- 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.