VP Product, Ops Tech

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout‑free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout‑free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is looking for a VP, Product – Ops Tech to design, scale, and operate the product and technical systems that quantify every operation and orchestrate action—from people flows and staffing to cameras, sensors, screens, and robotic endpoints—so venues can lift revenue and customer delight simultaneously. Across Metropolis, billions of dollars in annual revenue run through operationally heavy workflows—ingress/egress, validation, exception resolution, collections, staffing, and on‑site service—and we’re building an AI‑native Ops Platform that converts those flows into software by coordinating humans through a unified identity, policy, and telemetry layer. You will partner closely with Operations/Deployment, Finance, Sales, Engineering, and Data/Analytics to align strategy, execution, and measurement. In the near term, you will materially improve the economics of our scaled, billion‑dollar parking business—lowering OPEX per transaction, boosting payment capture, and compressing queue/dwell times—while standing up the platform primitives (events, data contracts, device standards, policy engine) that generalize across venues. Over time, you’ll scale this into a general‑purpose, cross‑venue experience layer powering commerce, safety, and service for hospitality, retail, aviation, and beyond. What you'll do Define the product strategy and roadmap for the ops tech platform, delivering a modular, API‑first architecture that works seamlessly across venues and vendors Turn computer vision insights into actions by guiding associates, contractors, and robotic endpoints (e.g., gates, LPR, AMRs, digital signage) with clear SLAs, playbooks, and automatic fallbacks that ensure smooth orchestration between human and robotic systems Design and execute closed‑loop workflows and automation to lower OPEX per transaction by 20–30%, boost throughput, compress queue and dwell times by 25%+, and increase first‑contact resolution—driving measurable operational efficiency and scalability Increase payment capture and conversion 5–10% by tightening ID→charge flows, refining loss‑prevention policies, and optimizing on‑site prompts that improve both guest experience and revenue capture Translate business goals into measurable orchestration policies that balance guest experience, revenue, and cost, and build a policy engine that converts identity, vision, and context into actions (notify, open, charge, route, display, dispatch) to enable intelligent, automated decision‑making at the edge Instrument the field to raise data completeness, latency, and accuracy; harden event schemas; standardize metrics; and ensure every workflow generates auditable telemetry for decisioning—standing up field health, utilization, latency, and incident dashboards for real‑time visibility by ops and GMs Sponsor and ship groundbreaking computer vision and AI‑driven use cases—including presence‑based entry, exception detection, dynamic staffing, and proactive service—with quantified ROI and strong privacy, safety, and ethics guardrails Build pricing models, ROI calculators, and ops/installation playbooks, while creating installation and versioning standards for cameras, screens, gateways, and edge compute; partner with Sales and GMs to win lighthouse deals and scale deployment repeatedly Run an experimentation pipeline (A/B and sequential tests) to prove ROI, accelerate learning cycles, validate hypotheses, and continuously improve orchestration and automation performance across markets Hire and coach PMs, TPMs, Product Ops, and Platform Engineers focused on orchestration, edge, and data, and institute an operating rhythm that blends product rigor with field reality to ensure alignment between strategy, execution, and on‑the‑ground performance What we're looking for 12+ years building and operating product platforms at the intersection of physical operations and software (parking/mobility, logistics, retail tech, robotics, industrial IoT, or similar) Scaled edge + cloud systems (vision, sensors, payments, identity) in production environments with high reliability demands Proven record turning CV/AI insights into operational outcomes—staffing, routing, dynamic pricing, or autonomous actions Led cross‑functional teams spanning Product, Ops, Eng, and Data; fluent in field trials and executive reviews Strong data chops (SQL/experimentation); passion for instrumentation and measurement The anticipated base salary for this position is $290,000.00 USD to $310,000.00 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' 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. 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, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law. #J-18808-Ljbffr