Explore open roles at Metropolis

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 As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond. What you'll do Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets Design and own data architecture for large-scale projects while managing operational trade-offs Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains Define and manage Service Level Agreements (SLAs) for all owned data sets Implement data security models, ensure privacy compliance, and evolve data governance processes Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data Maintain production processes by optimizing complex code using advanced algorithmic concepts Streamline data artifact development by optimizing pipelines, dashboards, and frameworks Mentor team members through actionable feedback to foster collective skill growth Maintain flexibility with availability during evening hours What we're looking for Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field master's degree is preferred 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines Ability to deliver high standards of code quality, system reliability, and performance Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS While not required, these are a plus: Experience with Spark and PySpark Master's degree in Computer Science, Computer Engineering, or a relevant technical field 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 $160,000.00 USD to $220,000.00 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-CM1 #LI-Onsite

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 Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the Advanced Technology Group (ATG) and directly influences key business metrics, including revenue, utilization, and customer demand. In this role, you will design and implement models that predict demand, analyze price–demand relationships, and develop pricing strategies. This is a highly impactful role with significant ownership over data, modeling, and infrastructure systems. What you'll do Design, develop, and productionize demand forecasting models optimized for different business goals (e.g., visits, revenue, availability) Innovate and improve Machine Learning models for price elasticity, time series, and probabilistic models for revenue optimization Design and build end-to-end data pipelines to support large-scale production usage Identify data issues (e.g., bias, leakage, labeling inconsistencies) and drive solutions Design and analyze experiments (A/B, switchback, causal inference) to validate pricing strategies Deploy and monitor models in production, ensuring reliability, scalability, and data quality Collaborate with product, engineering, and business teams to translate requirements into scalable ML solutions What we're looking for PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field, with at least 1+ years of relevant experience, or MS with equivalent publications Proficient programming skills in Python and SQL Foundational experience in machine learning modeling and statistics, such as time series forecasting, probabilistic models, and deep learning models Strong knowledge with forecasting, optimization, and decision-making algorithms, including revenue maximization, constrained optimization, and demand/price curve optimization Solid understanding of causal inference and experimentation, with experience evaluating both short-term and long-term effects (A/B testing, DiD, uplift modeling) Hands-on experience with data pipeline development, including AWS data storage, data transformation, distributed processing (Spark), and workflow orchestration (Airflow) Strong communication skills, both written and verbal, with the ability to operate effectively at team and deep technical levels Comfortable reading academic papers and formulating concepts using mathematical notation 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 $150,000.00 USD to $180,000.00 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-NM1 #LI-Onsite

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, Assistant Controller to play a key leadership role in the execution of corporate accounting operations. The Assistant Controller is the executional builder — responsible for standing up core accounting processes, leading the close, and operationalizing the Controller’s vision. This role is about turning strategy into scalable processes. What you'll do Own monthly/quarterly close activities, ensuring accuracy, timeliness, and scalability Design and implement new policies, controls, and workflows (GAAP/IFRS, revenue recognition, consolidations) Drive automation/AI adoption in reconciliations, reporting, and consolidation Build and mentor a growing accounting team, instilling accountability and high performance Work closely with cross-functional leads (Tax, Treasury, FP&A, Operations) to ensure data integrity and reporting accuracy What we're looking for Bachelor’s degree in Accounting, Finance, or related field CPA license 10+ years of progressive accounting experience, including team leadership Strong technical accounting knowledge (GAAP/IFRS) and consolidation experience Proven track record of implementing process improvements and leveraging technology/automation Hands-on leader who has built close-to-reporting processes in complex environments Comfortable with ambiguity and building from ground up Excellent communication and interpersonal skills, with the ability to work across cultures and geographies While not required, these are a plus: Master’s degree in Accounting, Finance, or related field 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 $225,000.00 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. #LI-NP1 #LI-Onsite