Metropolis uses computer vision–driven AI to make physical-world transactions—such as parking, fueling and retail checkout—frictionless and personalized.
<h3>Who we are</h3> <p>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.</p> <h3>Who you are</h3> <p>Metropolis is seeking a Staff Software Engineer to lead the technical evolution of our Incentive Offers platform, serving as a critical architect for our identity, decisioning, and measurement infrastructure. You will play a pivotal role in transforming vision-based location signals into a scalable demand engine for our partners by building the platform layer that connects arrivals to automated campaigns. As a technical steward and influencer, you will solve complex technical challenges that few others can while mentoring engineers and setting the direction for project impact and engineering craft across the organization.</p> <h3>What you'll do</h3> <ul> <li>Define the technical strategy and long-term roadmap for the Incentive Offers platform</li> <li>Architect scalable services for offer management, campaign eligibility, and business rule enforcement</li> <li>Design high-throughput infrastructure for real-time member communication and preference management</li> <li>Develop identity resolution systems that connect physical-world vehicle signals with digital member profiles</li> <li>Build robust attribution and measurement engines to track closed-loop redemption across diverse verticals</li> <li>Engineer seamless integrations between our platform and external partner systems or point-of-sale technologies</li> <li>Mentor senior engineering talent and advocate for high standards of engineering craft and efficiency</li> <li>Solve complex distributed systems problems related to high-volume transaction processing and data consistency</li> <li>Partner with Product and Marketing leaders to translate business objectives into scalable technical solutions</li> <li>Identify and resolve systemic bottlenecks to improve developer velocity and system reliability</li> </ul> <h3>What we're looking for</h3> <ul> <li>Advanced degree in Computer Science or a related technical field</li> <li>8+ years of experience building customer-facing applications and complex distributed systems</li> <li>Demonstrate expert proficiency in Scala, Java, or similar JVM-based languages</li> <li>Experience with AI/ML tools to improve engineering productivity or system intelligence</li> <li>Show a proven track record of leading technical strategy for significant engineering initiatives</li> <li>Possess a strong background in architecting data-intensive platforms and real-time event-driven systems</li> <li>Communicate complex technical concepts effectively to both technical and non-technical stakeholders</li> <li>Mentor engineers to foster a high-performance engineering culture and technical growth</li> <li>Design for operational excellence including observability, monitoring, and automated testing</li> <li>Navigate high levels of ambiguity and deliver results in a fast-paced environment</li> </ul> <h3>While not required, these are a plus:</h3> <ul> <li>Familiarity with marketing technology stacks or consumer-facing loyalty platforms</li> <li>Experience working in high-growth startup environments or industry-leading tech companies</li> </ul> <h3>Our Stack</h3> <ul> <li>Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)</li> <li>Datastores: MySQL, PostgreSQL, Snowflake</li> <li>Cloud: AWS</li> <li>Version control: Git & GitHub</li> <li>AI Tooling: Copilot on GitHub and Claude Code</li> <li>Observability: Datadog</li> </ul> <hr> <p><strong>4 Days in Office:</strong> 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</p> <p>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 $200,000.00 USD to $250,000.00 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. <span style="color: rgb(255, 255, 255);">#LI-CM1 #LI-Onsite</span></p><div class="content-conclusion"><p><em>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.</em></p> <p><em>As part of this process, Metropolis retains data relevant to your candidacy, including perso