eko is an innovative e-commerce startup dedicated to empowering brands to create, display, and optimize their video assets across digital platforms.

Thanks to our groundbreaking partnership with major retailers and our ability to demonstrably increase e-commerce sales, we recently opened a new facility focused on processing, capturing, and delivering data & media for millions of unique products annually.

Our first-of-its-kind facility opened in Northwest Arkansas in the summer of 2025 and is rapidly scaling to support high-volume, high-quality product media capture at unprecedented speed and scale. Want to learn more about eko? Visit eko.com

As you know, timing is everything. This is your chance to join Eko at a pivotal moment as we enter our scale phase. With hundreds of customers and millions of users over the years, you'll have the opportunity to make a significant impact on our success and grow alongside us. It will surely be exhilarating!

So let’s talk about some tech 

Eko's core technology combines an advanced visual capture infrastructure, cloud-based automated post-production processes, a scalable streaming platform, and proprietary application layers that utilize GPU shader video rendering and animations. Our platform includes modern full-stack development and integrations to the world's e-commerce, catering to the scale and standardization demanded by the world's largest enterprise brand.

What does it mean to be a DevOps at eko?

Being a DevOps Engineer at Eko means connecting with the business at large, rather than focusing solely on a specific niche. You'll collaborate with various departments, and the infrastructure and delivery pipelines you contribute to will reach millions of end-users.

We value expanding skill sets, discovering new areas of excellence, and pursuing passions over rigid job titles.

Your true potential 

CVs and resumes can’t capture the full essence of who you are as a developer. We believe in looking beyond project bullet points and tech stacks to understand the person behind them. We prioritize how you think and solve problems over specific programming languages and their quirks.

Our ideal candidates are curious, creative thinkers, and continuous learners with a passion for technology. If you thrive on learning by doing, love taking on exciting challenges, and enjoy exploring new territories, then Eko is the place for you.

WHAT WILL YOU DO…

• Lead features end-to-end with full ownership and accountability, from design through deployment.
• Establish monitoring and observability practices that provide real-time visibility into complex workflows and distributed systems.
• Design and build infrastructure for large-scale usage.
• Shape how we rapidly build and release code to production for millions of viewers.

OUR DREAM CANDIDATE…

• 3-5 years of experience as Devops Engineer
• Proven experience building and maintaining high-scale, high-availability production systems for enterprise environments, with a track record of handling mission-critical systems.
• Deep understanding of cloud computing (AWS or GCP).
• Strong hands-on experience with container orchestration using Docker and Kubernetes, including deploying and managing containerized workloads in production.
• Advanced knowledge in JavaScript
• Advanced networking knowledge, including load balancing and firewall configuration.
• Strong background in monitoring, logging, and alerting systems (New Relic, Datadog, Mezmo, Kibana), with experience implementing observability practices for distributed systems.
• Fluency in infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.
• Proficiency in scripting languages (Bash, Python, or Go) for automation and system management.

Not a must, but we’ll value any experience with these tools we’re already using:

• Familiarity with messaging queues and event-driven architecture (e.g., Kafka, RabbitMQ, Kinesis)
• Proven experience in security best practices and vulnerability management.
• Experience with SQL and modern data stack tools (e.g., MySQL, Postgres, Snowflake, dbt).
• Experience in software development is a strong advantage.
• Degree in Computer Science (not a must; we’re always looking for super-talented people).

Benefits: 

• Stock option plan
• Hybrid model 
• Dog friendly 
• Fitness training 

At Eko, we're hiring people, not just skills. If you possess some of the qualities we're looking for but not all, and still feel you're a great fit, we encourage you to apply. At eko, we believe in a creative approach to everything, no matter what role we’re in. We believe in meaningful choice, both at work and in life, and know our workplace only gets better when people can bring their whole selves to the office. We have offices in NYC and TLV, and an AI-powered Robotic Capture Factory in Bentonville. We’re software developers and spray paint artists, poets and band jammers, fantasy sports fans and financial whizzes, chess-heads and UXperts, pop culture nerds and product managers, data wizards and yoga instructors. We’re passionate about art, entertainment, technology, and everything in between. It’s our unique mix of talents and passions that puts us at the forefront of interactive video. We have as many stories as we do people, and we can’t wait to hear yours.

About Topsort

Topsort is the leading Retail Media Infrastructure company - we're democratizing the auction-based ad technology that was once exclusive to Amazon, Google, and Alibaba, and making it accessible to retailers, marketplaces, and delivery apps in 40+ countries worldwide. Our APIs power native sponsored listings, dynamic banners, and clean-room attribution at scale — all privacy-first, all real-time.

We're a fast-growing, global-first team of ~100 people across Boston, Santiago, São Paulo, Barcelona, Sydney, and beyond. We move fast, we build in the open, and we hold a high bar — especially on infrastructure.

Why Topsort? Why now?

Topsort is changing the way Retail Media works. By joining our scaling team, you'll feel your impact from day 1. The processes and messaging you build today will be a critical part of our foundation as we accelerate toward 200 Topsorters worldwide, and your innovations will leave a lasting mark on the industry, as a whole. Retail Media is on the verge of a new era, and Topsort is gathering the ecosystem together to shape a brighter future. Joining us now, you'll work directly alongside our co-founders and founding members to bring on Retail Media 3.0. If you're looking to define your career as something greater than yourself, come scale with us.

What it’s like to work at Topsort

Our team is all about straightforward communication, embracing feedback without taking it personally, and fostering a super collaborative environment. It’s a sports team that’s hyper focused on winning, collaborative internally, and competitive externally - never the other way around. 

We thrive on working in the open, lifting each other up, and getting things done with a sense of urgency. We're the kind of team that loves making bold choices, sharing extraordinary opinions, and maintaining a 100 mph pace. No endless meetings here – if it can be done today, we're all about getting it done today.

What is this role like?

We're hiring a Software Engineer for our Infrastructure team — the backbone of everything Topsort runs on. This is not a supporting role. Infrastructure at Topsort is a first-class, mission-critical function. When our infrastructure is healthy, every retailer and marketplace our customers serve gets fast, reliable, and fair auction results. When it's not, we feel it everywhere.

You'll be building and owning the systems that power our real-time auction engine, API platform, and internal developer tooling — at a scale and reliability standard that leaves no room for sloppiness. We need someone who treats production like it matters, because it does.

What You'll Do

• Own the platform - Design, build, and maintain the foundational infrastructure that every Topsort product and engineering team depends on, from compute and networking to deployment and observability.
• Raise reliability - Define and enforce SLOs, build alerting systems that catch issues before customers do, and lead postmortems that actually prevent recurrence.
• Make deployments boring - Build CI/CD pipelines and deployment systems that are so reliable they're invisible. Automate the toil out of every release.
• Manage infrastructure as code - Own our cloud infrastructure (AWS/GCP) through Terraform or equivalent — no snowflake servers, no manual configuration drift.
• Enable developers - Build internal tooling and platform capabilities that make every Topsort engineer faster, safer, and more autonomous. Your customers are your colleagues.
• Harden security - Implement and enforce security best practices at the infrastructure level — secrets management, network policies, RBAC, supply chain integrity.
• Scale proactively - Capacity plan, load test, and tune our systems ahead of demand — not in reaction to a page at 2am.
• Participate in on-call - We take production seriously. You'll join the on-call rotation and be expected to respond, resolve, and document.

What We Think You Need to Be Successful

We’re open to candidates who don’t check every box but show strong potential.

• Bachelor's in Computer Science, engineering or a related field from top schools
• 2–5 years of software engineering experience with a meaningful portion focused on infrastructure, platform, or SRE work
• Solid hands-on experience with Kubernetes in production — not a homelab, not a tutorial, but real clusters under real load
• Experience with at least one major cloud provider (AWS preferred) and infrastructure-as-code (Terraform or similar)
• Strong fundamentals in distributed systems — you understand CAP theorem, eventual consistency, and failure modes before they happen
• Experience building or maintaining CI/CD pipelines (GitHub Actions, ArgoCD, or similar)
• Comfort with observability tooling — metrics, logs, traces — and the discipline to use them proactively
• A security-conscious mindset: you think about blast radius, principle of least privilege, and secrets rotation without being asked

You'll stand out if you have:

• Experience in high-throughput, low-latency systems (ad tech, fintech, real-time bidding, or similar)
• Familiarity with service mesh, eBPF, or advanced Kubernetes networking
• Experience with database infrastructure and data streaming
• A track record of improving developer experience and reducing time-to-deploy
• Experience at a high-growth startup where infra had to scale faster than the team

What you'll do at Jamf:

We are seeking a highly analytical and technically skilled Senior Marketing Data Analyst to join our Marketing Analytics team. This role will play a critical part in supporting how we measure marketing performance, optimize demand-generation efforts, and drive data-informed decision-making across the organization.

The ideal candidate brings experience in B2B SaaS marketing analytics, with strong expertise in DOMO, Salesforce (SFDC), and SQL. This individual will contribute to reporting, data modeling, and attribution efforts, helping evolve our analytics capabilities toward more granular, multi-touch, and tactic-level insights.

What you can expect to do in this role:

• Support the development and enhancement of marketing performance reporting across the funnel by building and maintaining dashboards in DOMO, tracking key KPIs including pipeline generation, conversion rates, and campaign performance, and translating business questions into scalable reporting solutions
• Contribute to data modeling and transformation efforts by developing datasets and dataflows in DOMO and Snowflake, writing and optimizing SQL, and helping ensure data integrity across systems such as SFDC, Marketo, and web analytics tools
• Analyze and document the website-to-Marketo-to-Salesforce data flow to identify attribution gaps, lead source inconsistencies, and tracking blind spots; partner with Marketing Automation and Enterprise Applications teams to understand current implementation limitations and contribute to solutioning improvements
• Leverage the Salesforce data model (Leads, Contacts, Campaign Members, Opportunities) to support reporting and analysis; identify gaps in campaign tracking and lead source consistency; and contribute to data governance improvements across the marketing tech stack
• Partner cross-functionally with Marketing, Revenue Operations, and Analytics teams to deliver insights, support campaign planning, and clearly communicate findings to both technical and non-technical stakeholders
• Mentor stakeholders and analysts to develop in-house analytics capabilities; champion platform best practices across DOMO, Salesforce, and Marketo; and drive adoption of consistent reporting standards and data definitions across the marketing org
• Recommend and shape the analytics technology stack to enhance insights into performance

What we are looking for: 

• Minimum of 5 years of experience in marketing analytics, preferably in a B2B environment, with hands-on experience in a modern BI/data visualization platform such as DOMO, Tableau, Power BI, or Looker (Required) DOMO experience preferred.
• Strong hands-on expertise with the Salesforce (SFDC) data model and reporting, including Leads, Contacts, Campaign Members, and Opportunities (Required).
• Strong understanding of marketing funnel metrics, demand generation strategies, and the ability to work with large, complex datasets across multiple systems (Required).
• Experience with Marketo as a marketing automation platform, including program structure, lead lifecycle, and Salesforce sync behavior (Preferred).
• Experience working with Snowflake, dbt, or modern data stack tools (Preferred).
• Proven track record of leading complex projects to completion and achieving business objectives.
• Self-starter with strong organizational and analytical skills.

EDUCATION & CERTIFICATIONS

• 4 Year / Bachelor's Degree (Required) Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Preferred).
• A combination of relevant experience and education may be considered.

How we help you reach your best potential:

Pay Transparency
At Jamf, base pay is one part of our total compensation package and is set within a defined range. These ranges can vary based on hiring location. Where an individual's pay falls within that range depends on several factors, including role scope, location, budget, skills, experience, and qualifications. This approach helps ensure fair, competitive pay and provides room to grow as you develop in your role.

#LI-Remote

Job Title: Engagement Manager

Role Overview: The Engagement Manager leads the implementation of Neo4j technology solutions using traditional, agile, and tailored methodologies. This collaborative technical leader works alongside customers, Neo4j Sales, Sales Engineering, and Professional Services management to ensure successful project delivery. The ideal candidate brings expertise in database technologies, software development lifecycle, and nurturing diverse, multi-location teams while embodying Neo4j's values and driving customer success.

Key Responsibilities:

Complex Project Management

• Lead multiple concurrent projects while coordinating teams across onshore and offshore locations, including both employees and partners. Proactive approach to identifying and addressing project challenges
• Cultivate a supportive environment that encourages teamwork and knowledge sharing, reflecting our open and inclusive culture
• Model solutions-oriented leadership
• Develop comprehensive internal and customer facing project artifacts including Jira backlogs, weekly reports, risk assessments, and Gantt charts
• Ensure timely delivery within scope and budget for numerous concurrent projects. Identify engagement-related risks and communicate with stakeholders to secure successful mitigation plans
• Monitor key performance indicators for schedule adherence, margins, and customer satisfaction
• Ability to anticipate and address project complexities including environment constraints and integration challenges
• Facilitate project close procedures with lessons learned and process improvements.
• Identify up-selling and cross-selling opportunities with the engagement team
• Support project scoping and estimation during the pre-sales phase by contributing delivery plans, timelines, and risk assessments

Resource and Financial Management

• Co-lead semi-weekly Resource Planning Sessions with other Engagement Managers and Regional Consulting Managers
• Collaborate with Professional Services management to identify skill requirements and source appropriate talent
• Maintain and update corporate professional services automation (PSA) tool, Certinia, for effective resource allocation
• Analyze project financial information and manage margins by setting work plans and assisting consultants in the delivery of professional services work
• Ensure adherence to financial close procedures and governance guidelines

Effective Communication

• Ability to identify and communicate opportunities for further customer success
• Deliver weekly status reports and dashboards on project health to stakeholders
• Establish strong relationships with matrix project teams and cross-functional departments
• Encourage a quality-focused culture and develop contingency plans using established risk analysis methods
• Identify and mitigate potential risks throughout the project lifecycle
• Engage regularly with mid-to-senior-level customer stakeholders to gather solution direction and feedback, demonstrating our focus on user success

Qualifications

• 5–8+ years experience managing mid-to-large or complex engagements autonomously
• Bachelor's degree in engineering, computer science, or related field preferred
• PMP, Agile, or relevant certifications strongly preferred
• Familiarity with Professional Services Automation tools (PSA), ideally Certinia
• Demonstrated ability to manage and cultivate consulting teams and customer relationships
• Strong track record of effective communication and collaboration skills when partnering with cross-functional teams (sales, sales engineering, support, legal, and HR)
• Excellent analytical, problem-solving, and presentation abilities

Bonus Points:

• 2+ years working in an Engagement or Project Management capacity in a Professional Services organization
• Industry experience in Financial Services, Life Sciences, Manufacturing, Technology
• Experience managing graph database projects using such technologies as Neo4j, TigerGraph, JanusGraph, or similar technologies, Snowflake, Databricks, NoSQL/Relational providers such as MongoDB, Couchbase, or Teradata.
• Experience managing projects on cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform

Axonius is seeking a Senior Software Engineer (Data Engineering). You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

• Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
• Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
• Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
• Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

Minimum Qualifications

• Experience: 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.
• Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.
• Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.
• AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.
• Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.

Preferred Qualifications

• Containerization & DevOps: Familiarity with Docker, Kubernetes (K8S), and Terraform.
• Modern Data Stack: Familiarity with the following tools is an advantage: Kafka, Databricks, Airflow, Snowflake, MongoDB, Open Table Format (Iceberg/ Delta)
• ML/AI Infrastructure: Experience building and designing ML/AI-driven production infrastructures and pipelines.

#LI-HYBRID #LI-ZR1 

Axonius is seeking a Senior Data Infra Engineer. You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

• Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
• Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
• Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
• Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

Minimum Qualifications

• Experience: 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.
• Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.
• Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.
• AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.
• Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.

Preferred Qualifications

• Containerization & DevOps: Familiarity with Docker, Kubernetes (K8S), and Terraform.
• Modern Data Stack: Familiarity with the following tools is an advantage: Kafka, Databricks, Airflow, Snowflake, MongoDB, Open Table Format (Iceberg/ Delta)
• ML/AI Infrastructure: Experience building and designing ML/AI-driven production infrastructures and pipelines.

#LI-HYBRID #LI-ZR1 

Senior PM, Chainguard Repository

The role, in a nutshell:

Chainguard is building the most trusted source for open source software, and Chainguard Repository is at the center of that mission. We're looking for a Senior Product Manager to own the product strategy and execution for Chainguard's Unified Repository — a single, trusted repository where developers and enterprises can access all Chainguard artifacts across libraries, containers, APKs, and more.

This is a high-impact, zero-to-one opportunity. You'll be shaping a product that sits at the intersection of developer experience, supply chain security, and platform growth, at a moment when the market is actively consolidating around exactly what we're building.

What you’ll own:

• Product strategy & sequencing. Define and drive the roadmap for the Unified Repository across a rapidly expanding artifact scope. Make deliberate sequencing calls that balance enterprise requirements, developer adoption, and platform scale. Own the milestone framework from initial launch through enterprise GA.
• Developer experience & PLG. Build a product-led growth motion that earns developer adoption early and converts to paid over time. Design free, pay-as-you-go, and enterprise tiers so top-of-funnel activation is high and upgrade paths feel natural. Sweat onboarding, habitual usage, and every point of friction.
• Cross-functional leadership. Partner with Engineering, Experience, and GTM to move fast without breaking trust. Drive resolution on the hard questions — and pull the right people in at the right time.
• GTM readiness. Ship the features enterprise customers need to adopt Chainguard with confidence. Work shoulder-to-shoulder with GTM and prioritize against real market urgency, not internal preference.

What We're Looking For:

• 5+ years of PM experience, with a track record in developer tools, infrastructure, or security
• Shipped PLG or developer-facing products with both free and enterprise tiers
• Working knowledge of the software supply chain — package managers, registries, artifact management, OSS distribution
• Comfortable with ambiguity; can make sequencing calls and defend them
• Strong cross-functional operator who can align engineering, design, sales, and legal around one roadmap
• Zero-to-one experience with real customer discovery and iterative validation
• Technical credibility — you don't need to write code, but you can hold your own with engineers on infrastructure, security, and developer tooling

Nice to haves

• Hands-on experience with a major package ecosystem (npm, PyPI, Maven, Go, etc.)
• Background in security, compliance, or enterprise platform products
• Prior work on registries, artifact stores, or developer onboarding flows
• Familiarity with usage-based / consumption pricing models

Explore Our Work

Dive into the practical side of what we do at Chainguard. These resources provide a hands-on look at our processes and offer an opportunity for in-depth understanding of our product offerings and the technology behind them.

• Chainguard Academy 
• https://www.chainguard.dev

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

The Growth Marketing Strategy & Analytics team sits at the center of the Cash App and Afterpay growth engines, shaping the strategy behind how marketing drives customer growth. We’re a lean, consulting-style team embedded directly with our marketing partners. We stay flexible to work on the highest priority growth problems for the business, while also supporting the execution and optimization of our evergreen marketing program.

As a Senior Growth Marketing Analyst, you’ll be an analytical thought partner for our channel managers, working with them to build the infrastructure that makes performance marketing increasingly automated (building datasets, measurement approaches, agentic workflows, etc.) and pairing that work with high-leverage strategic contributions (identifying growth opportunities, influencing roadmaps, guiding investments, etc.). This is an exciting opportunity for someone who is equally energized by getting in the weeds as they are by zooming out on overall growth strategy.

You Will

• Own analytics and reporting across a set of key growth marketing channels (e.g. paid media, CRM, referrals, etc.)
• Proactively identify performance trends and growth opportunities by analyzing audience, channel, campaign, and funnel data.
• Guide the forward-looking growth strategy and marketing roadmap in collaboration with our channel managers.
• Design and build agentic workflows that unlock self-serve insights for channel managers and automate routine reporting.
• Write the playbook for how we onboard and measure new experimental growth channels.
• Leverage and facilitate enhancements to our channel incrementality measurement methodologies (e.g. MMM, global holdout).

You Have

• Typically requires a minimum of 3 years of related experience
• A strong understanding of growth levers for consumer products and how marketing drives acquisition, engagement, and long-term value.
• Experience measuring app and/or web marketing performance, with fluency in core growth metrics such as CAC, LTV, conversion, and retention.
• The ability to tell a clear story with data by connecting insights to concrete actions and recommendations.
• An ownership mindset: you surface opportunities, define a path forward, and see initiatives through.
• Comfortable writing SQL (without AI or an engineer doing it for you).
• Experience with data visualization tools such as Tableau, Mode, or Looker.
• Excitement to learn!

Technologies We Use and Teach

• Snowflake
• Data visualization (e.g. Tableau, Mode, Looker)
• MMPs (e.g. Appsflyer)
• AI and automation tools (e.g. ChatGPT, Goose)

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.

Position Summary

This role will be an integral contributor to the SCS FP&A function, with a strong emphasis on data analytics, financial systems, automation, and scalable reporting. The ideal candidate brings a technical and analytical skill set — with experience in data analytics, data engineering, business intelligence, or financial systems — and can translate complex data into clear financial insights, executive-ready reporting, and actionable business recommendations.

The Senior Associate will partner closely with the Head of FP&A, CFO, and cross-functional stakeholders to improve financial reporting infrastructure, enhance forecasting and planning processes, support technology implementations, and deliver high-quality analysis for strategic initiatives. This role is well suited for someone who enjoys solving ambiguous business problems, working with large and complex datasets, building repeatable analytical processes, and communicating insights to senior leaders.

This is a hybrid role based in Boston, MA.

Primary Responsibilities

• Partner with the Head of FP&A and CFO on critical finance, data, and technology initiatives, including financial systems implementations, reporting automation, and planning process improvements
• Build, maintain, and enhance scalable financial reporting and analytical tools using Excel, Power BI, SQL, planning systems, or other data visualization / business intelligence platforms
• Support the annual budgeting and rolling forecasting processes by improving data workflows, coordinating stakeholder inputs, managing timelines, and ensuring accuracy across financial models and reporting outputs
• Partner with finance, accounting, operations, and technology teams to improve data quality, streamline reporting processes, and automate recurring analyses where possible
• Translate business questions into structured analyses, dashboards, models, and reporting outputs that support decision-making across the organization
• Manage multiple concurrent projects, ensuring priorities, milestones, deliverables, and stakeholder expectations are met in a dynamic environment

Qualifications

• Bachelor’s degree in finance, economics, data analytics, engineering, information systems, computer science, mathematics, or a related analytical field
• 3+ years of experience in IT development, data analytics, data engineering, business intelligence, consulting, or a similarly analytical / technical environment
• Strong analytical and problem-solving skills, with the ability to work with complex datasets and translate findings into clear business narratives
• Advanced Excel and SQL skills required; experience with Power BI, Python, Power Query, or similar data analytics / automation tools strongly preferred
• Experience building dashboards, automated reporting processes, financial models, or analytical tools that improve decision-making and reduce manual effort
• Strong understanding of financial statements, budgeting, forecasting, variance analysis, and key business performance drivers
• Experience with Workday Adaptive Planning, Snowflake, data warehouses, or similar financial planning / data platforms is a plus
• Demonstrated ability to structure ambiguous problems, manage analytical workstreams, and partner effectively with finance, technology, and senior business stakeholders
• Strong written and verbal communication skills, with the ability to present technical or analytical concepts clearly to non-technical audiences
• Detail-oriented, intellectually curious, and comfortable balancing hands-on data work with executive-level communication and project management

This is an exempt position. The annualized base pay range for this role is expected to be between $90,000 - $110,000.  Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

#LI-JS1

Position Summary

This role will be an integral contributor to the SCS FP&A function, with a strong emphasis on data analytics, financial systems, automation, and scalable reporting. The ideal candidate brings a technical and analytical skill set — with experience in data analytics, data engineering, business intelligence, or financial systems — and can translate complex data into clear financial insights, executive-ready reporting, and actionable business recommendations.

The Senior Associate will partner closely with the Head of FP&A, CFO, and cross-functional stakeholders to improve financial reporting infrastructure, enhance forecasting and planning processes, support technology implementations, and deliver high-quality analysis for strategic initiatives. This role is well suited for someone who enjoys solving ambiguous business problems, working with large and complex datasets, building repeatable analytical processes, and communicating insights to senior leaders.

This is a hybrid role based in Boston, MA.

Primary Responsibilities

• Partner with the Head of FP&A and CFO on critical finance, data, and technology initiatives, including financial systems implementations, reporting automation, and planning process improvements
• Build, maintain, and enhance scalable financial reporting and analytical tools using Excel, Power BI, SQL, planning systems, or other data visualization / business intelligence platforms
• Support the annual budgeting and rolling forecasting processes by improving data workflows, coordinating stakeholder inputs, managing timelines, and ensuring accuracy across financial models and reporting outputs
• Partner with finance, accounting, operations, and technology teams to improve data quality, streamline reporting processes, and automate recurring analyses where possible
• Translate business questions into structured analyses, dashboards, models, and reporting outputs that support decision-making across the organization
• Manage multiple concurrent projects, ensuring priorities, milestones, deliverables, and stakeholder expectations are met in a dynamic environment

Qualifications

• Bachelor’s degree in finance, economics, data analytics, engineering, information systems, computer science, mathematics, or a related analytical field
• 3+ years of experience in IT development, data analytics, data engineering, business intelligence, consulting, or a similarly analytical / technical environment
• Strong analytical and problem-solving skills, with the ability to work with complex datasets and translate findings into clear business narratives
• Advanced Excel and SQL skills required; experience with Power BI, Python, Power Query, or similar data analytics / automation tools strongly preferred
• Experience building dashboards, automated reporting processes, financial models, or analytical tools that improve decision-making and reduce manual effort
• Strong understanding of financial statements, budgeting, forecasting, variance analysis, and key business performance drivers
• Experience with Workday Adaptive Planning, Snowflake, data warehouses, or similar financial planning / data platforms is a plus
• Demonstrated ability to structure ambiguous problems, manage analytical workstreams, and partner effectively with finance, technology, and senior business stakeholders
• Strong written and verbal communication skills, with the ability to present technical or analytical concepts clearly to non-technical audiences
• Detail-oriented, intellectually curious, and comfortable balancing hands-on data work with executive-level communication and project management

This is an exempt position. The annualized base pay range for this role is expected to be between $90,000 - $110,000.  Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

#LI-JS1

About the Team

Mercury* is building a complete financial stack for ambitious businesses. Since we launched in 2019, our customer base has grown to over 200,000 startups and small businesses from all around the world. To help Mercury activate new customer segments, grow our customer base and increase revenue, we are expanding our Revenue Strategy & Operations team, which leads business-critical, cross-functional efforts to efficiently scale our go-to-market organization. 

The Revenue Strategy & Operations team is responsible for platforms & infrastructure, dashboards & insights, enablement and project management to support the broader go-to-market organization. We sit at the intersection of revenue strategy, operations, and data—building the reporting, analysis, and tooling infrastructure that keeps a fast-moving revenue team informed and effective. As an RSO team member, you are a force multiplier, leading cross-functional initiatives that uplevel the capabilities, processes and results within the go-to-market organization.

*Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust, Members FDIC.

As part of the journey, we would expect you to:

• Work cross-functionally with go-to-market teams including Sales, Relationship Management, Partnerships and Marketing to identify and solve sticky challenges
• Own high-impact initiatives for months, quarters or possibly years, defining problem statements, developing and driving alignment around solutions, overseeing implementation and measuring impact
• Leverage data to identify the biggest opportunities and drive decision-making—including building dashboards and reports that give GTM stakeholders clear visibility into performance, pipeline, and customer behavior
• Translate ambiguous business questions into well-structured analyses, partnering with data and analytics teams to surface insights that stakeholders can act on
• Get creative, building solutions that leverage AI and other emerging technologies to accelerate workflows, automate manual processes, and unlock new capabilities—you’re excited about what’s possible and eager to experiment
• Work across Mercury’s data environment (Snowflake, Salesforce, Omni, and other platforms) to connect disparate data sources and surface a complete picture of customer and prospect behavior
• Build relationships across a wide range of stakeholders and deliver impact through collaboration and consensus

There are lots of paths that could lead you to be successful in a role like this; we think the strongest candidates will have some of this experience:

• Prior experience leading strategic projects or programs, such as in consulting, Business Operations, Sales or Revenue Operations, Program Manager, or other applicable roles
• Demonstrate a strong sense of ownership and can approach new problems with curiosity and first-principles thinking
• Exceptional stakeholder management skills, with the ability to effectively communicate, build consensus and influence across teams and senior-level stakeholders
• Strong data fluency—you’re comfortable pulling your own data and navigating across sources to connect the dots yourself rather than waiting for someone else to do it
• Experience building and maintaining dashboards and reports in tools like Omni, Looker, Tableau, or Salesforce, with a knack for distilling complex datasets into simple, actionable visualizations
• A genuine enthusiasm for AI and emerging technology—you actively seek out ways to integrate AI into your work, have experimented with tools like LLMs, copilots, or automation platforms, and see AI as a force multiplier for the type of strategic work this role demands
• Demonstrated ability to bring structure and simplicity to a variety of complex and ambiguous business problems
• Ability to work independently to identify issues and proactively propose, build and implement the solutions to address them from the ground up
• Comfort working in an ambiguous, fast-paced environment, with a strong understanding of when to escalate urgent issues and to whom
• Excellent oral and written communication skills, and time management and prioritization skills

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in the New York City, Los Angeles, Seattle, or San Francisco Bay Area: $131,500 - $148,000
• US employees outside of the New York City, Los Angeles, Seattle, or San Francisco Bay Area: $118,400 - $133,200
• Canadian employees (any location): 124,300 - 139,000 CAD 

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-SK1

This position will play a pivotal technical leadership role in realizing Heartflow’s vision of a single, comprehensive platform to manage heart disease. As a Staff Data Architect, you will lead the data strategy for our medical device system—defining how clinical, imaging, and operational data is structured, stored, accessed, and governed across our AWS-based platform and partner ecosystems.

You will own the architectural roadmap for our transactional databases, analytical Data Lake, and the pipelines that connect them. Operating at the staff level, you will set the standards for data modeling, query performance, and access patterns, partner deeply with Software Engineering, IT, Research, and Systems Engineering, and elevate the semantic structure of our data so that our products—including emerging AI agents—operate on a trustworthy, well-described, and compliance-ready foundation.

Job Responsibilities:

• Lead Data Strategy for the Medical Device System: Define the multi-year data architecture vision spanning transactional databases, Data Lake, and downstream consumers. Translate product, clinical, and regulatory requirements into a coherent data strategy that scales as Heartflow’s portfolio grows.
• Oversee Database Performance & DBA Excellence: Set direction for database operations across the platform—uptime, capacity, backups, recovery, schema evolution, and incident response. Establish SLOs, observability, and runbooks; partner with engineering and SRE teams to ensure mission-critical clinical workloads remain fast, reliable, and secure.
• Lead Enterprise Data Modeling: Own conceptual, logical, and physical data models across operational and analytical systems. Drive consistent representation of patients, studies, cases, results, and devices, and steward the master data and reference data needed for high-integrity clinical reporting.
• Partner with Software Engineering on Query Performance & Access Patterns: Embed with product engineering teams to improve indexing, partitioning, caching, and read/write patterns. Coach engineers on data access best practices, review high-impact query and schema changes, and reduce cost and latency at scale.
• Architect the Data Lake & Data Pipelines: Partner with IT, Research, and Systems Engineering teams to design and evolve the Data Lake, lakehouse layers, and ingestion/transformation pipelines. Define standards for data contracts, lineage, quality, and governance from source-of-truth systems through curated analytical and ML-ready datasets.
• Advance the Semantic Structure for AI Agent Context: Lead efforts to enrich Heartflow data with semantics—ontologies, controlled vocabularies, schema registries, and metadata—so that AI agents and downstream consumers can reliably retrieve, reason over, and act on clinical and operational information.
• Champion Compliance, Security & Privacy: Ensure data architectures, flows, and access controls strictly adhere to FDA, HIPAA, GDPR, and other applicable standards. Partner with Quality, Regulatory, InfoSec, and Privacy teams to embed compliance into the data lifecycle by design.
• Provide Technical Leadership: As a staff-level technical multiplier, mentor data and software engineers, set engineering standards for data work, influence technology and tool selection, and represent the data architecture function in cross-functional planning, hiring panels, and roadmap reviews.

Skills Needed:

You have experience in the following:

• Data Architecture & Strategy: Defining multi-year data architecture for complex, regulated platforms—spanning OLTP databases, Data Lakes / lakehouses, streaming pipelines, and downstream analytical and ML consumers.
• Database Engineering & DBA Leadership: Deep expertise in relational and modern cloud databases (e.g., PostgreSQL, Aurora, Snowflake, Redshift, or equivalent) including performance tuning, partitioning, indexing strategy, replication, HA/DR, and operational excellence.
• Data Modeling: Expert-level conceptual, logical, and physical modeling for both transactional and analytical workloads (3NF, dimensional modeling, Data Vault or equivalent), including modeling for healthcare/clinical domains.
• Data Lake & Pipelines: Designing scalable Data Lake / lakehouse architectures (e.g., S3, Iceberg/Delta/Hudi, Glue, EMR, Spark, dbt, Airflow, Kafka) with strong patterns for data quality, lineage, and governance.
• Cloud Platforms: Building data systems in modern cloud ecosystems—AWS preferred—with a strong grasp of cost, security, and reliability tradeoffs at scale.
• Semantic Data & AI Enablement: Working with metadata, schema registries, ontologies, and semantic layers to make data discoverable and usable by humans, applications, and AI/agentic systems.
• Healthcare Data & Compliance: Working with clinical, imaging, or device data under regulatory regimes such as FDA, HIPAA, and GDPR; familiarity with healthcare data standards (e.g., FHIR, HL7, DICOM) is a strong plus.
• Technical Leadership: Mentoring senior engineers, driving cross-team architectural decisions, establishing engineering standards, and influencing technology selection across multiple teams and programs.

You are passionate about:

• Platform Vision: Realizing the vision of a single, unified data platform that powers Heartflow’s products and AI capabilities.
• Engineering Excellence: Championing high-quality data systems, rigorous review and testing practices, and elevating the technical baseline of the entire team.
• Strategic Ownership: Taking end-to-end ownership of complex architectural domains and operating independently with a high degree of latitude.
• Constructive Collaboration: Fostering open communication across Engineering, IT, Research, and Systems Engineering, and guiding healthy technical debates that result in better outcomes.
• Innovation: Pragmatically evaluating and introducing state-of-the-art data, semantic, and AI-enabling technologies to solve real clinical and operational problems.

You are excited to dive deeper into:

• Domain Expertise: Advancing the frontier of Software as a Medical Device (SaMD) and clinical data platforms in the cardiology space.
• Regulatory Innovation: Navigating and innovating within strict regulatory environments (FDA, HIPAA, GDPR) to securely deliver life-saving medical applications.
• AI Agent Data Foundations: Designing the semantic, governance, and retrieval layers that allow AI agents to operate safely, accurately, and with appropriate context over Heartflow data.

Educational Requirements & Work Experience:

• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent experience. Master’s preferred.
• 10+ years of relevant industry experience in data architecture, data engineering, and/or database engineering, including time spent leading architecture across multiple teams or programs.

A reasonable estimate of the base salary compensation range is $190,000 to $250,000, plus bonus and equity. #LI-Hybrid

Analytics Engineer - Boulder, Colorado

You’ll join the Team USA SumUp Analytics group — a small, distributed team dedicated to building the data foundations that power SumUp’s US operations. You will work in a lean, high-impact environment where your work is visible, your contributions matter, and no two days look the same. Together, we’re tackling complex data challenges, designing reliable infrastructure, and transforming raw data into insights that shape business decisions.

We’re now looking for a hands-on, technically curious Analytics Engineer to help us build new data infrastructure, streamline reporting, and bring structure to complex datasets.

What you’ll do

• Participate in the day-to-day support rotation, handling ad hoc data requests, troubleshooting reporting issues, and diagnosing data pipeline problems across the business
• Build, maintain, and document dbt models in a Snowflake environment
• Develop and maintain Tableau dashboards and data sources for stakeholders across the company
• Help to modernize our data infrastructure, with the goal of enabling business stakeholders to self-serve with the help of AI-assisted tooling
• Manage stakeholder relationships independently — gathering requirements, setting expectations, and communicating clearly with both technical and non-technical audiences

You’ll be great for this role if you 

• Have experience as an Analytics Engineer, Data Analyst, BI Analyst or similar role working with complex datasets.
• Possess 1-4 years of applicable experience
• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, related field or equivalent experience
• Write advanced SQL in your sleep and know your way around Snowflake and dbt Core
• Build and maintain Tableau dashboards that stakeholders actually trust
• Manage stakeholders confidently — gathering requirements, setting expectations, and pushing back when a request isn't clearly defined
• Figure things out independently using available resources before escalating
• Stay calm and effective in fast-moving, imperfect environments
• Sweat the small stuff when it comes to data quality
• Collaborative, approachable, and easy to work with

Bonus Points!

• Worked with self-serve or semantic data layers
• Fluent in AI-assisted data tools like GitHub Copilot or Cursor
• Contributed to an AI agent knowledge base or done prompt engineering work
• Understand the limitations of LLMs when applied to data problems
• Thrived in a lean or startup-style team before
• Worked with Salesforce

Why you should join SumUp

• You’ll play a key role in building the data infrastructure that supports SumUp’s US operations from the ground up.
• You’ll be part of a global company that values autonomy, learning and meaningful impact over bureaucracy.
• You’ll have opportunities to grow your technical skills in data architecture, automation, and reporting at scale.
• You’ll work in a supportive environment that values trust, transparency and continuous improvement.

Compensation: 

• $95-115K base salary 
• Eligible for Virtual Stock Options 
• Compensation will be finalized based on the candidate’s experience and location

Benefits & More:

• We’re a truly global team of 4000+ people from 60+ countries, working to help small businesses across 3 continents.
• Startup environment and small, cross-functional teams 
• A full suite of benefits including medical, dental and vision
• 22 days vacation days & 8 sick days plus 11 paid holidays
• 401(K) employer match and paid parental leave
• One month of sabbatical after every 3 years of employment

About SumUp

We believe in the everyday hero.

Small business owners are at the heart of all we do, so we create powerful, easy-to-use financial solutions to help them run their businesses. With a founder’s mentality and a “team-first” attitude, our diverse teams across Europe, South America, Australia, and the United States work together to ensure that the small business owners we partner with can be successful doing what they love.

SumUp is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. SumUp does not make hiring or employment decisions on the basis of race, color, religion, ethnic or national origin, sex, gender identity, sexual orientation, disability, or any other basis protected by law.

SumUp will not accept unsolicited resumes from any source other than directly from a candidate.

#SumUpUSA

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Toast is seeking a Senior Director, Brand Content & Audience Growth to build and lead the restaurant industry's definitive owned media brand. You will own data storytelling & editorial production, social and creator, and audience development. Turning Toast's proprietary data across 170,000+ locations into the stories, benchmarks, and IP that operators, press, and LLMs cite as the default source on how restaurants actually work. This role sits within Brand Marketing and owns a set of highly visible, high-leverage content and audience systems that directly impact brand authority, pipeline, and long-term category leadership.

This is a builder role that requires a growth mindset. You will design, pilot experiments, ship them across every unpaid surface (search, LLM answers, social, creator, community, newsletters, and in-product rails) while owning adoption, audience, and outcomes. You will operate with autonomy, influence senior stakeholders, and translate data, experimentation, and learning velocity into clear editorial and commercial decisions. The ideal candidate brings a media operator's taste and a systems builder's rigor. Someone who wants to build durable audience engines, not just publish content.

The bet

Toast is making a multi-year investment to build the definitive owned media property for the restaurant industry — a personality-led, data-rich, audience-first brand operators genuinely seek out. This is where Toast is investing most heavily in brand over the next two years, and it is purpose-built to meet the LLM moment head-on.

A day in the life (Responsibilities) 

• Build and own the Toast Media Network end-to-end, from editorial POV and voice through production, distribution, audience growth, and ongoing optimization.

• Build a social and culture-led programming engine that turns Toast's POV, data, and talent into moments operators actually care about — owning brand social channels, cultural franchises, creator and influencer programs, and the operator-creator ecosystem as one integrated system that builds fandom and extends the media brand's voice.

• Architect Toast's POV on the market in partnership with Brand Strategy and PR/Comms: the connective tissue between what we believe, what we publish, and how the market (including LLMs) hears it.

• Design and run growth experiments (franchises, formats, channels, AI-powered workflows) to rapidly learn what drives audience, citation share, and pipeline, and scale what works.

• Create clear, data-driven roadmaps that deliver near-term authority and audience wins while building toward a scalable, long-term media and data storytelling engine  in partnership with PR/Comms, who lead earned media activation and all press relationships for data programs.

• Lead flagship franchises through their full lifecycle, including Data by Toast and newsletters. From scrappy early pilots to operationalized, always-on programs.

• Drive measurable outcomes, including share of LLM citations on a fixed high-value query set, citation velocity and backlinks per release, newsletter growth and open rate

• Partner cross-functionally with Revenue Marketing, Web, Brand Strategy, PR/Comms, PMM, Product, Data, and IR to ship integrated programs.

• Apply AI-first strategies to content production, distribution, LLM visibility, and audience intelligence. Improving speed, consistency, and the quality of every asset we ship.

• Lead and grow a senior, integrated team of 10–12.

What you'll need to thrive (Requirements)

15+ years of experience with the items below:

• Media Brand Building: You've worked inside real media brands or stood up an owned media property inside a company. A publication, newsletter, show, or platform people actively seek out. You have an instinctive sense of what 'good' looks like when a media property is actually working: voice, cadence, talent, audience loyalty, and the editorial bar.

• Editorial + Social/Creator at Scale: You've led editorial and modern social/influencer/creator strategy together. The exact combination this charter requires, and a genuinely rare profile in B2B.

• Cross Functional Leadership: This is a highly cross-functional role. You're experienced and comfortable driving programs that engage Toasters across Brand, Revenue Marketing, PR/Comms, Legal, PMM, Product, Data, and IR. Getting results via collaboration is your default settling.

• Audience Growth Operator: You've grown and retained audiences; subscribers, return users, community,  and you know how to measure fandom, not just reach. You think in compounding loops, not campaigns.

• Data Storytelling: You've turned proprietary datasets into benchmarks, indices, and IP the press and analysts cite. You think in franchises, not one-offs.

• Strategic Thinking: You have experience exercising strong business judgement and intuition. You can operate at different altitudes; you are comfortable diving deep into analytics and audience data, but also know how to zoom out to the highest level and tailor insights for the right audience (e.g., working team vs. Senior Team).

• AI-first Application Experience: Experience applying AI to fundamentally change how content gets made, how audiences find it, and how Toast shows up in LLM answers. You have a strong, tested POV on LLM visibility and you'd never outsource taste to a tool.

• Comfort with Ambiguity: You thrive in undefined environments where there is no playbook. The LLM era is rewriting inbound in real time and we intend to be a first mover. You are comfortable building as you go, leading from the front, and taking an iterative approach to break down blockers.

Nice to Haves

• Experience in restaurants, hospitality, SMB, fintech, or adjacent operator categories

• Familiarity with workflow automation platforms (e.g., Make, Zapier, n8n) connected to AI APIs

• Experience with analytics platforms (e.g., GA4, Snowflake, HEX) and SEO/LLM visibility tooling

• Experience partnering with PR/Comms, IR, and executive comms at a public company

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-REMOTE

We are seeking a dynamic and experienced Senior Solutions Engineer to join our team at Boomi. You will play a crucial role in supporting enterprise accounts, managing relationships with customers' technical staff, and providing exceptional solutions tailored to meet their needs.

Your expertise will contribute to verifying operability, articulating value propositions, and qualifying sales opportunities to drive success for both the customer and Boomi.

Location: Spain, Barcelona, Hybrid or Madrid, Remote

About Boomi:

Boomi is the leading data activation company, empowering organizations to connect their applications and data seamlessly. We are looking for a talented Senior Solutions Engineer to join our EMEA organization and help drive our growth.

What you’ll do:

• Gain access to and manage relationships with customer technical staff functions to understand their requirements and challenges effectively.

• Qualify sales opportunities by understanding customer technical requirements, decision-making processes, and underlying demand drivers.

• Uncover and articulate the business value of Boomi's Enterprise Platform

• Create compelling presentations that demonstrate to technical as well as business decision-makers how Boomi effectively addresses pain points.

• Provide technical expertise and guidance throughout the sales process, ensuring a smooth transition from presales to implementation.

• Understand the competitive landscape and position Boomi's solutions effectively against competitors.

• Collaborate with sales teams, solution architects, leaders, and cross-functional technical groups to ensure a consistent and effective approach to solution application and development.

• Stay updated on industry trends, the competitive landscape, and emerging technologies relevant to Boomi's offerings (Agentic AI, iPaaS, APIM, B2B/EDI, Business Process Automation, Managed File Transfer,  Data Integration and Data Governance).

The Experience you bring:

• Excellent written and verbal communication skills in English and Spanish.

• A Bachelor’s Degree in Engineering, Computer Science, Applied Science, Business System Administration, or equivalent experience

• Extensive client-facing experience with a strong technical aptitude and presentation skill and/or Experience in field sales or customer consulting experience is preferred.

• Working experience with a global system integrator is a big plus.

• Track record of successful projects in Enterprise accounts.

• Experience in field sales or customer consulting experience is preferred. Working experience with a global system integrator is a big plus.

• Good understanding of integration technologies with a focus on APIs, data management, Agentic development or Event Driven Architectures.

• Hands-on experience with integration development or data synchronization platforms such as API Management, Master Data Management or related technology platforms is a significant advantage.

• Competitive knowledge is a big plus

• Experience to carry quota and provide support to sales planning activities such as forecasting, account planning and go-to-market strategies

• Integration experience with enterprise applications such as SAP, Oracle EBS, Fusion, Netsuite, MS Dynamics, Business Central, BizTalk, ServiceNow, Salesforce, IFS or others is also an advantage.

• Experience with any EDA platform: Solace, Kafka, ActiveMQ, RabbitMQ, Google Pub/Sub, Amazon SNS is a plus

• Experience with any Data platform like: Snowflake, Databricks, Redshift, BigQueries, Microsoft Fabric, Informatica, Talend, Tibco is a plus

• Experience with Integration Platforms (iPaaS) like Mulesoft, SAP BTP, Tibco, IBM webmethods, Workato is a plus

• Experience with AI platform like Amazon Bedrock, Microsoft Foundry, Google Vertex AI, IBM watsonx.ai, or other platforms is a plus

• Strong business acumen with the ability to understand, design, and validate system architectures that are relevant in modern enterprise environments.

• Ability to uncover customer needs and articulate the business value of solutions effectively.

• Ability to prioritize tasks and foster effective communication in global cross-functional teams.

• Ability to take ownership in highly professional teams.

• Strong presentation skills, active listening and comfort presenting to a wide variety of audiences, both in terms of responsibility and technical acumen.

• A natural passion for creative problem-solving and a curiosity to understand how things work.

• Ability to switch between working independently or collaboratively for extended periods.

• Understand the importance of continuous learning while also being a coach and mentor to other team members.

If you are passionate about technology, thrive in a customer-facing role, and possess the skills and experience outlined above, we encourage you to apply for this exciting opportunity to be part of the Boomi team.

#LI-LM1

As a senior technology leader, you will help build our technology platform to enable 10 million change-makers to deliver a billion acts of goodness by 2025. We seek a platform-first Architect to lead enterprise patterns for reliable, governed, AI-driven, and cost-effective solutions at scale across our technology portfolio. You will design how data flows across the company, from ingestion to consumption, while ensuring our AI systems are secure, auditable, and maintainable. This role requires practical systems thinking and the ability to influence senior engineers and leadership toward consistent, enterprise-wide architecture outcomes that align our data and AI strategy with broader business goals.

If you're passionate about leveraging modern technology, data and AI for positive impact and eager to contribute to a mission-driven organization, we want to hear from you.

What you will do:

• Develop and maintain end-to-end tracks with our data and AI focus technology strategy and architectural portfolio
• Mentor engineers and technical leadership by providing clear patterns, ensuring adherence to architectural patterns, and offering hands-on guidance for complex implementations
• Lead architecture decisioning through Architecture Decision Records (ADRs), standards, and design reviews
• Oversee architectural reviews, code reviews, and system performance analysis to ensure quality standards and sustainable delivery momentum
• Foster a culture of collaboration, knowledge sharing, and continuous learning through mentorship, team collaboration, and workshops
• Enable governed data consumption through clear data contracts, curated datasets, and consistent serving patterns including domain marts
• Standardize end-to-end data flow patterns including ingestion, transformation, storage, serving, and retirement with repeatable templates
• Set platform standards for orchestration and reliability including SLAs, retries, idempotency, backfills, runbooks, and operational dashboards
• Establish enterprise data quality practices including critical data elements, quality rules, validation layers, monitoring, and issue triage workflows
• Drive governance-by-design by embedding metadata, lineage, classification, and ownership into platform patterns
• Drive adoption of AI governance architecture for agentic solutions including controls for data privacy and model lifecycle
• Define AIOps standards ensuring AI systems have traceability, quality measurement, incident response readiness, and cost guardrails
• Collaborate with stakeholders and product management to identify, prioritize, and mitigate technical risks and challenges
• Stay informed about industry regulations, security standards, and compliance requirements to ensure solutions meet necessary standards

What you’ll bring:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 7+ years in software development methodologies, architecture, and implementation of large scale enterprise systems
• 4+ years focused on data engineering, data management, or data platform architecture and designing AI solutions including AIOps practices
• Structured problem solving to turn ambiguous requirements into scalable, low-cost solution patterns
• Ability to think strategically while paying close attention to technical details
• Proven experience building or evolving an enterprise data platform including standards and adoption across multiple teams
• Demonstrated ability to design governance-ready AI solutions including evaluation strategies, privacy safeguards, and auditability
• Strong expertise in system architecture, cloud computing, distributed systems, and integration technologies
• High bar for operational readiness, actionable documentation, and treating governance as a built-in platform feature
• Deep experience across modern data platform capabilities including AWS Glue, Step Functions, Airflow, dbt, Spark, and Snowflake
• Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
• Experience with agentic frameworks such as LangChain, LlamaIndex, or LangGraph and AIOps tooling like LangFuse
• Familiarity with Agile development methodologies and the ability to adapt to a fast-paced environment
• Strong understanding of security principles, performance optimization, scalability, and reliability
• Demonstrated influence towards simplicity and repeatability in architecture

Nice to Have:

• Experience operating in regulated environments, (SOC2, ISO 27001, or GDPR).
• Familiarity with federated domain ownership models, where domains ship data products while the platform provides shared standards and tooling.
• Experience designing and scaling platform observability for data pipelines, streaming systems, and AI services.
• Familiarity with medallion architecture patterns
• Experience in modern data platform capabilities, including:
• Streaming: Apache Kafka, AWS MSK, AWS Kinesis, GCP Pub/Sub
• Metadata and governance: DataHub, Atlan or similar

As a senior technology leader, you will help build our technology platform to enable 10 million change-makers to deliver a billion acts of goodness by 2025. We seek a platform-first Architect to lead enterprise patterns for reliable, governed, AI-driven, and cost-effective solutions at scale across our technology portfolio. You will design how data flows across the company, from ingestion to consumption, while ensuring our AI systems are secure, auditable, and maintainable. This role requires practical systems thinking and the ability to influence senior engineers and leadership toward consistent, enterprise-wide architecture outcomes that align our data and AI strategy with broader business goals.

If you're passionate about leveraging modern technology, data and AI for positive impact and eager to contribute to a mission-driven organization, we want to hear from you.

What you will do:

• Develop and maintain end-to-end tracks with our data and AI focus technology strategy and architectural portfolio
• Mentor engineers and technical leadership by providing clear patterns, ensuring adherence to architectural patterns, and offering hands-on guidance for complex implementations
• Lead architecture decisioning through Architecture Decision Records (ADRs), standards, and design reviews
• Oversee architectural reviews, code reviews, and system performance analysis to ensure quality standards and sustainable delivery momentum
• Foster a culture of collaboration, knowledge sharing, and continuous learning through mentorship, team collaboration, and workshops
• Enable governed data consumption through clear data contracts, curated datasets, and consistent serving patterns including domain marts
• Standardize end-to-end data flow patterns including ingestion, transformation, storage, serving, and retirement with repeatable templates
• Set platform standards for orchestration and reliability including SLAs, retries, idempotency, backfills, runbooks, and operational dashboards
• Establish enterprise data quality practices including critical data elements, quality rules, validation layers, monitoring, and issue triage workflows
• Drive governance-by-design by embedding metadata, lineage, classification, and ownership into platform patterns
• Drive adoption of AI governance architecture for agentic solutions including controls for data privacy and model lifecycle
• Define AIOps standards ensuring AI systems have traceability, quality measurement, incident response readiness, and cost guardrails
• Collaborate with stakeholders and product management to identify, prioritize, and mitigate technical risks and challenges
• Stay informed about industry regulations, security standards, and compliance requirements to ensure solutions meet necessary standards

What you’ll bring:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 7+ years in software development methodologies, architecture, and implementation of large scale enterprise systems
• 4+ years focused on data engineering, data management, or data platform architecture and designing AI solutions including AIOps practices
• Structured problem solving to turn ambiguous requirements into scalable, low-cost solution patterns
• Ability to think strategically while paying close attention to technical details
• Proven experience building or evolving an enterprise data platform including standards and adoption across multiple teams
• Demonstrated ability to design governance-ready AI solutions including evaluation strategies, privacy safeguards, and auditability
• Strong expertise in system architecture, cloud computing, distributed systems, and integration technologies
• High bar for operational readiness, actionable documentation, and treating governance as a built-in platform feature
• Deep experience across modern data platform capabilities including AWS Glue, Step Functions, Airflow, dbt, Spark, and Snowflake
• Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
• Experience with agentic frameworks such as LangChain, LlamaIndex, or LangGraph and AIOps tooling like LangFuse
• Familiarity with Agile development methodologies and the ability to adapt to a fast-paced environment
• Strong understanding of security principles, performance optimization, scalability, and reliability
• Demonstrated influence towards simplicity and repeatability in architecture

Nice to Have:

• Experience operating in regulated environments, (SOC2, ISO 27001, or GDPR).
• Familiarity with federated domain ownership models, where domains ship data products while the platform provides shared standards and tooling.
• Experience designing and scaling platform observability for data pipelines, streaming systems, and AI services.
• Familiarity with medallion architecture patterns
• Experience in modern data platform capabilities, including:
• Streaming: Apache Kafka, AWS MSK, AWS Kinesis, GCP Pub/Sub
• Metadata and governance: DataHub, Atlan or similar

This role operates on a hybrid schedule requiring two days of in-office collaboration per week. Our team meets in our San Francisco office on Tuesdays & Wednesdays.

About the Job:

About the Team: 

The Commercial Analytics team sits within the Marketplace Operations team and operates as the analytics partners across all the Commercial organization. Commercial Analytics exists to transform complex data and problems into clear, human, actionable intelligence that drives confident decision-making across Taskrabbit. Commercial Analytics partners with domain experts to generate proactive insights and use advanced analytics techniques to drive operational improvements and product-led decisions. We bring clarity in measurement, analysis, and execution to achieve Taskrabbit objectives.

About the Role

The Lead Data Analyst will lead all Supply-related Analytics priorities within our Tasker Operations vertical – acting as a subject matter expert and the primary analytical architect for Tasker growth, activation, and retention. You will solve high-level, often ambiguous challenges foundational to our supply dynamics. You will move beyond answering "what happened" to drive the "so what," acting as a critical link between Product, Operations, and Senior Leadership. Your work will directly support company OKRs, such as attracting top supply talent and preventing fulfillment crises before they impact customers.

Join us in transforming lives, one task at a time.

What You’ll Work On:

• Build and implement supply defining analytical frameworks, such as Tasker acquisition, churn, and LTV, Tasker High Quality rate, Tasker Registration Funnel and measuring supply health across our operating metros
• Own the end-to-end data model build and analysis of the Tasker journey, from registration funnel bottlenecks to helping Taskers reach their Nth tasks through data-driven analyses and partnering with the TaskerOps team
• Drive direct revenue growth and increased Tasker fulfillment through rigorous data analysis, root cause analysis, and the design of targeted operational tests to improve fulfillment ratio
• Lead cross-functional projects with Product, Engineering, and Operations to influence roadmaps and launch product tests that improve platform health.
• Serve as a lead storyteller for the supply side of the business, translating technical jargon and complex data into actionable visualizations for Director+ groups
• Partner with Data Engineering to define requirements for data pipelining and tracking that support supply-side initiatives, moving logic closer to base tables to ensure consistent, reliable metrics
• Lead quarterly planning and work prioritization within Tasker Ops through detailed stakeholder feedback, and translation of effort-to-impact, and data storytelling to prioritize revenue driving initiatives
• Operate as a Lead Analyst for the Commercial Analytics team, providing technical coaching, endorsing data best practices, and bring operational excellence to the team

You Should Have:

• A BS/MS in economics, mathematics, statistics, or equivalent analytical experience
• 6-10 years using analytics to drive key business decisions across strategy, marketing, operations, and/or finance
• Experience building data visualizations to inform business decisions (e.g., Looker, Tableau, Sigma, etc.)
• Excellent verbal, presentation, and written communication skills and experience presenting to Directors+ and in larger company settings
• 6-8 years experience with SQL (windowing functions, CTEs, cross joins), with experience building base data models
• Great attention to detail and quality and experience translating technical topics to non-technical audiences
• A knack for working with cross-functional partners to reach the right solutions 
• An ownership mindset determined to get things done

Nice to Have: 

• Experience with Python, pandas, and data science packages
• Experience presenting analyses and recommendations to C-level executives
• Proficient in statistical techniques and concepts (regression, power analysis, clustering, etc.)
• Technical understanding of data warehousing/data pipelining solutions and experience with tools like Airflow, dbt, and Snowflake
• Experience managing business intelligence dashboarding solutions
• Experience owning cross-functional data projects from end-to-end
• Experience operating analytics for a two-sided marketplace and a global brand
• Love collaborating together with a tight-knit team

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks.

The base pay range for this position is $127,000 - 170,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

Marketing at Brex

The Marketing team tells the Brex story, determines messaging and positioning, and translates our products and features into tangible customer benefits. Our marketers — across Revenue Marketing, Product Marketing, and Brand Marketing — are responsible for acquiring new customers and have a deep understanding of the business. We’re a highly cross-functional team and partner most closely with the Product, Sales, Business Development, and Design teams to show our prospects and customers how we can help them reach their full potential.

What you’ll do

We’re looking for an economist and storyteller who can review and query large amounts of Brex data to uncover the signals hidden within. You will turn this data into narratives that shape how the world understands corporate spending, finance, and business behavior.

You’ll partner with Content, PR, and Data teams to create thought-leading research, craft benchmark reports, and publish insights that make Brex the authority on how modern companies spend and operate.

Where you’ll work

This role will be based in our San Francisco Office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Be a creative thought leader with Marketing, PR, Data on sourcing and validating data journalism that could be created from Brex data
• Conduct original economic research and analysis using Brex and external datasets  to surface new insights about business, finance, and spending behavior
• Identify stories that matter from our Brex data. From data-backed trends to counterintuitive findings – and translate them into clear, compelling narratives for founders, CFOs, and the media
• Partner closely with PR and marketing teams to craft external reports and establish new benchmarks
• Serve as Brex's public voice on economic insights and corporate spending trends, engaging with media and industry in collaboration with the PR team
• Build relationships with internal and external subject‑matter experts, data scientists, and customers to surface exclusive insights and anecdotes
• Partner with growth and SEO team to expand distribution to third parties
• Maintain newsroom‑grade standards of accuracy, ethics, and sourcing
• Collaborate with social, video, and design to package stories for maximum visibility

Requirements

• 7+ years of experience in research and analysis, narrative development, and journalism, ideally in finance, business, or tech
• Experience analyzing markets and evaluating data from multiple sources to produce culturally relevant charts, infographics, reports, articles, etc 
• Proficiency in SQL, Python, or R to develop story-telling analysis in tools like Hex, Snowflake or Sagemaker
• Demonstrated ability to publish or contribute to high-quality research in economics, finance, or related fields
• Strong communication skills for translating technical findings into actionable insights for diverse audiences
• Ability to build collaborative partnerships with data, content, design, social, and PR teams

Compensation

The expected salary range for this role is $240,000-$300,000 USD.  However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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 Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role.

What you'll do

• Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows
• Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups
• Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability
• Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback
• Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time
• Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities
• Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture

What we're looking for

• 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production
• Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services
• Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use)
• Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred)
• Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred)
• A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional
• Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection

While not required, these are a plus:

• Experience with vector databases, embeddings, or semantic search is a plus

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

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 $170,000.00 USD to $200,000.00 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-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 Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

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 $130,000.00 USD to $175,000.00 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

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

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

We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments.

What you'll do

• Collect, process, and analyze large datasets from multiple sources
• Build and deploy machine learning models to solve business problems
• Design and implement A/B tests and statistical analyses
• Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements
• Communicate complex data insights in a clear and actionable manner to stakeholders
• Develop dashboards and visualizations to monitor key metrics
• Stay current with the latest trends and technologies in data science and AI

What we're looking for

• Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field
• 4+ years of proven experience as a Data Scientist or Data Analyst
• Strong knowledge of Python/R and SQL
• Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)
• Experience with big data tools (e.g., Spark, Hadoop)
• Familiarity with data visualization tools
• Strong analytical, problem-solving, and communication skills

While not required, these are a plus:

• Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc)
• Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)

3 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. #LI-SR1 #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

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

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 Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role.

What you'll do

• Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows
• Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups
• Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability
• Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback
• Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time
• Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities
• Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture

What we're looking for

• 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production
• Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services
• Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use)
• Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred)
• Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred)
• A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional
• Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection

While not required, these are a plus:

• Experience with vector databases, embeddings, or semantic search is a plus

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

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 $170,000.00 USD to $200,000.00 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-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 Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

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 $130,000.00 USD to $175,000.00 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

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 seeking a Staff Software Engineer to join our Revenue Platform team. In this role, you will own the technical direction for our billing, payments, and invoicing infrastructure, charting the course for a system that already processes tens of millions in monthly transactions. You will balance immediate business needs with long-term architectural improvements, identifying high-impact enhancements and designing practical migration strategies to support our rapid growth.

As a technical leader, you will partner closely with engineering, finance, and operations teams to solve complex challenges involving pricing rules, subscription billing, and enterprise invoicing. You are a systems thinker who enjoys understanding how things work and building the roadmaps that improve a platform while it runs. Your work will directly shape how Metropolis monetizes its platform and expands into new verticals beyond parking, ensuring our financial systems remain resilient, compliant, and remarkably efficient.

What you’ll do

• Own the technical architecture and evolution of Metropolis's billing, payments, and invoicing systems, establishing standards for financial accuracy, transaction integrity, and compliance that ensure every dollar is correctly captured and accounted for
• Design and implement resilient payment processing with support for multiple payment gateways (Stripe,  etc.), intelligent routing between processors, retry strategies for failed transactions, and graceful handling of partial failures to maximize payment success rates
• Build comprehensive monitoring and reporting for revenue operations, including payment success rates, billing accuracy metrics, reconciliation dashboards, failed transaction alerts, and audit trails that provide visibility from customer transactions to accounting close
• Partner with finance and operations teams on payment failures, billing disputes, refund workflows, and reconciliation issues – building tools and automation that reduce manual intervention and improve mean time to resolution for customer-impacting revenue issues
• Drive adoption of revenue system best practices across services, including idempotent payment processing, distributed transaction handling, compensation workflows for failures, audit logging, and testing strategies that ensure financial correctness
• Own integrations with external systems, including payment gateways, ERP, data analytics, etc., ensuring reliable data flow and maintaining compliance requirements across the revenue stack

What we’re looking for

• 8+ years of hands-on engineering experience with a focus on building revenue systems like payment platforms
• Strong systems thinking for financial correctness with proven ability to design distributed revenue systems that handle edge cases gracefully: partial failures, duplicate requests, timing issues, currency conversion, tax calculation, and maintaining transaction integrity across service boundaries
• Database and financial data expertise, including transaction isolation, audit logging, point-in-time recovery, handling financial data migrations, and experience with systems that require both high availability and absolute correctness
• Payment gateway and integration experience with production knowledge of Stripe, PayPal, or similar processors; tax calculation services; accounting system integrations; and the operational reality of depending on external financial services, including compliance requirements like PCI-DSS
• Excellent technical communication with the ability to influence technical decisions across teams (particularly finance, accounting, and data teams), document complex systems, conduct post-mortems, and establish reliability standards organization-wide
• Experience with sophisticated usage of rapidly developing AI-assisted development skills in real-world codebases, including fluent use of Claude Code/GPT Codex/Windsurf or similar tools in multi-agent mode, spec-driven development (SDD),  MCP/skills optimization, context/prompt engineering
• Local to the Seattle area

While not required, these are a plus

• BS or MS in Computer Science or a relevant engineering discipline
• Expert-level revenue systems engineering with hands-on experience building billing platforms, payment processing pipelines, reconciliation systems, and handling challenges like idempotent transactions, failed payment retries, proration logic, multi-currency support, and revenue recognition – you've seen these problems before and know the patterns that work
• Expert revenue systems engineering with hands-on experience building billing platforms, payment processing, reconciliation, and managing complex challenges like idempotent transactions, payment retries, proration, multi-currency support, and revenue recognition.
• Financial systems expertise with deep experience implementing audit trails, reconciliation workflows, revenue reporting, and compliance controls at scale – you understand what it takes to maintain penny-perfect accuracy
• Java expertise with a deep understanding of JVM performance, concurrency, and operational characteristics. Scala experience is a big plus
• Experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity

  Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

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 $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several 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 pay 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.

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 Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role.

What you'll do

• Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows
• Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups
• Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability
• Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback
• Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time
• Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities
• Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture

What we're looking for

• 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production
• Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services
• Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use)
• Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred)
• Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred)
• A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional
• Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection

While not required, these are a plus:

• Experience with vector databases, embeddings, or semantic search is a plus

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

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 $170,000.00 USD to $200,000.00 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-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

We are looking for a Principal Software Engineer to lead our Customer Experience application development group through the next step function growth phase. As an engineering leader, you will be driving the future of Metropolis products forward, shaping vision and technical strategy that enables us to build top notch customer experiences. This individual will provide immense technical thought leadership and will shape a strong engineering-led culture. The ideal candidate will have a product-oriented mindset exuding extreme curiosity to explore customer experiences, obsessively finding opportunities for our customers to make technology experience frictionless. This leader will play a critical role in the company's success by ensuring that advancing the tech is aligned with customer needs and contributes to the company's overall growth and profitability.  

This is a unique opportunity to build an end-to-end mobility platform, that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people. If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally. 

What you'll do

• Provide technical direction that influences the entire company by formulating and implementing technical vision and strategy
• Establish the technologies and best practices needed to achieve operational excellence in system reliability while enabling rapid experimentation and data-informed decisions
• Through technology, enable step function improvements in developer experience and velocity
• Be a great coach to bring the best out of our engineers and a key driver of hiring top talent
• Empower collaborative environment where best product and technical ideas are nurtured and come to life
• Influence the industry by creating competitive advantages for our customers through their use of our global platform

What we're looking for

• 14+ years of experience building customer centric applications and products
• Experience initiating and driving technical strategy
• Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications
• Extremely strong fundamental computer science skills and expert level knowledge of Scala or Java or related language
• Strong experience with data-intensive architectures
• Deep understanding of tradeoffs involved in release engineering and other processes
• Excellent written and verbal communication skills with a proven ability to present complex information in a clear and concise manner to a variety of audiences
• Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings

While not required, these are a plus:

• Advanced degree in a technical field such as computer science
• Previous experience working inside innovative, high-growth environments
• Experience creating structure within an environment with high levels of ambiguity
• Experience with leading the development of industry altering infrastructure
• Experience with leveraging AI technology to streamline engineering activities

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

3 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. #LI-SR1 #LI-Onsite

Who we are

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 seeking a Staff Software Engineer for our “Network Expansion” team. You will play a key role in building new functionality to support our expansion into new mobility verticals and larger, more complex parking markets. This role requires an individual who thrives in fast-paced environments, working both cross-functionally with product, design, and operations as well as working across multiple engineering teams. 

What you'll do

• Provide technical direction that influences the entire company by formulating and implementing a technical vision and roadmap
• Lead large, cross-team initiatives through the entire development lifecycle, from ideation and requirements through successful launch
• Lead multiple engineering teams (10-15 engineers) towards a common goal
• Work cross-functionally with designers and product managers to understand, model, and solve real-world problems
• Own the outcomes! You’re responsible for real-world metrics shifts and company-defining business outcomes, not just for shipping software 
• Moderate technical discussions, evaluate new techniques, and ensure our platform is constantly evolving and improving
• Leverage best practices in automation testing and deployment to enable rapid iteration and launch of new features
• Help build a culture where bugs and mistakes in Production are treated as opportunities to improve the platform
• Be a great coach to bring the best out of our engineers and a key driver of hiring top talent

What we're looking for

• MS or BS in Computer Science or equivalent work experience. Strong fundamental computer science skills
• 10+ years of experience building customer-centric applications and products
• Proven track record of designing and delivering distributed systems and software products in consumer-facing applications
• Experience with microservices, event-driven architectures, and related technologies and paradigms
• Experience with Agile engineering processes that support the entire software development life cycle, including TDD/BDD, CI/CD, and related build/test/deploy processes
• Experience with database technologies, especially MySQL and Postgres.
• Excellent written and verbal communication skills with a proven ability to present complex technical information clearly and concisely to a variety of audiences
• Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings
• Experience succeeding in situations with high levels of ambiguity
• Able to work in the office in one of Santa Monica (Los Angeles), New York City, or Seattle

While not required, these are a plus:

• Advanced-level knowledge of Scala
• An advanced degree in a technical field, such as computer science
• Previous experience working inside innovative, high-growth environments
• Experience with leveraging AI technology to streamline engineering activities

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

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 $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several 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 pay 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.

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 an Financial Systems Administrator to join our team. You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams. In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data. You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models. The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers.

What you'll do

• Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS)
• Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning
• Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion
• Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes
• Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python
• Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations
• Utilize EPM Automate alongside Python or batch scripting for complex job scheduling
• Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments
• Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applications

What we're looking for

• 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise
• Bachelor’s degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field
• Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM
• Proficiency in SQL and Python with a proven track record of automating financial processes
• Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers
• Exceptional ability to bridge the gap between technical data architecture and functional financial insights
• Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT
• Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environment
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• Experience with Groovy scripting

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 $120,000.00 USD to $130,000.00 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-AW1 #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 Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

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 $130,000.00 USD to $175,000.00 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

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 an Financial Systems Administrator to join our team. You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams. In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data. You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models. The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers.

What you'll do

• Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS)
• Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning
• Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion
• Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes
• Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python
• Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations
• Utilize EPM Automate alongside Python or batch scripting for complex job scheduling
• Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments
• Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applications

What we're looking for

• 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise
• Bachelor’s degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field
• Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM
• Proficiency in SQL and Python with a proven track record of automating financial processes
• Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers
• Exceptional ability to bridge the gap between technical data architecture and functional financial insights
• Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT
• Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environment
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• Experience with Groovy scripting

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 $120,000.00 USD to $130,000.00 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-AW1 #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 of Applied AI to lead our newly formed Applied AI organization and architect an AI-first operating model from the ground up. You are a technical leader with a rare blend of engineering depth, organizational influence, and a relentless instinct for shipping production-ready systems. Reporting to senior leadership, you will define where AI creates the most leverage across our business—including finance, operations, and GTM—and build the high-performing team of AI Engineers and Process Analysts required to make that vision a reality. Your success will be measured by your ability to partner cross-functionally to redesign core processes, eliminating friction and delivering tangible outcomes in time savings and cost impact.

What you'll do

• Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM 
• Hire, develop, and lead a team of AI Engineers and Process Analysts while establishing a culture of fast iteration 
• Partner deeply with functional leaders to understand current work flows and design AI-first solutions to eliminate friction 
• Set standards for how the team designs, evaluates, and deploys AI workflows, including prompt systems and LLM integrations 
• Establish metrics for each process transformation and hold the team accountable to time savings, error reduction, and cost impact 
• Serve as the internal authority on applied AI capabilities, tooling trends, and emerging best practices 
• Present strategy, progress, and results to senior leadership and the executive team

What we're looking for

• 7+ years of experience in software engineering, AI/ML, or technical product leadership 
• At least 2 years leading teams that shipped AI-powered systems in production
• Maintain deep hands-on familiarity with LLMs, agentic workflows, and AI automation tooling such as OpenAI, LangChain, and vector databases
• Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions
• Show a track record of driving organizational change through technology and ensuring tools are adopted for sustained impact
• Apply experience working across functional boundaries to redesign processes with strong instincts for change management
• Utilize excellent communication skills to distill complex AI concepts for a non-technical executive audience
• Maintain a bias toward shipping by moving fast and setting clear expectations for high standards

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

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 $225,000.00 USD to $265,000.00 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-RR1 #LI-Onsite

Who we are

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

As a Senior Data Engineer at Metropolis, you will play a key role in shaping both customer-facing and business-facing 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 engineers, product managers, and data scientists to understand data needs, and develop end-to-end data pipelines, solutions, and foundational data sets
• Design and own the data architecture for large-scale projects, making informed decisions about design and operational trade-offs
• Build, launch, and optimize sophisticated data pipelines, data models, and visualizations that support diverse use cases across multiple products or domains
• Define and manage Service Level Agreements (SLAs) for all data sets within areas of ownership
• Implement data security models based on privacy requirements, ensure compliance with safeguards, address data quality issues, and evolve data governance processes
• Solve complex data integration challenges using optimal ETL/ELT patterns, frameworks, and query techniques for both structured and unstructured data sources
• Maintain and enhance existing production processes by optimizing complex code using advanced algorithmic concepts 
• Optimize pipelines, dashboards, frameworks, and systems to streamline data artifact development
• Mentor team members, providing and receiving actionable feedback to foster skill growth and collaboration
• Ensure flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in computer science, Computer Engineering, or a relevant technical field; a 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
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt 
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Hands-on experience with RDBMS such as MySQL, MS SQL Server, 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
• Experience with Spark and PySpark to handle large-scale data processing and enhance data pipeline efficiency
• Strong proficiency in Terraform is a must-have.

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub
• Observability: Datadog

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. #LI-SR1 #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 Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

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 $130,000.00 USD to $175,000.00 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

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 an Financial Systems Administrator to join our team. You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams. In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data. You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models. The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers.

What you'll do

• Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS)
• Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning
• Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion
• Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes
• Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python
• Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations
• Utilize EPM Automate alongside Python or batch scripting for complex job scheduling
• Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments
• Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applications

What we're looking for

• 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise
• Bachelor’s degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field
• Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM
• Proficiency in SQL and Python with a proven track record of automating financial processes
• Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers
• Exceptional ability to bridge the gap between technical data architecture and functional financial insights
• Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT
• Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environment
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• Experience with Groovy scripting

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 $120,000.00 USD to $130,000.00 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-AW1 #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

We are looking for a Principal Software Engineer to lead our Customer Experience application development group through the next step function growth phase. As an engineering leader, you will be driving the future of Metropolis products forward, shaping vision and technical strategy that enables us to build top notch customer experiences. This individual will provide immense technical thought leadership and will shape a strong engineering-led culture. The ideal candidate will have a product-oriented mindset exuding extreme curiosity to explore customer experiences, obsessively finding opportunities for our customers to make technology experience frictionless. This leader will play a critical role in the company's success by ensuring that advancing the tech is aligned with customer needs and contributes to the company's overall growth and profitability.  

This is a unique opportunity to build an end-to-end mobility platform, that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people. If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally. 

What you'll do

• Provide technical direction that influences the entire company by formulating and implementing technical vision and strategy
• Establish the technologies and best practices needed to achieve operational excellence in system reliability while enabling rapid experimentation and data-informed decisions
• Through technology, enable step function improvements in developer experience and velocity
• Be a great coach to bring the best out of our engineers and a key driver of hiring top talent
• Empower collaborative environment where best product and technical ideas are nurtured and come to life
• Influence the industry by creating competitive advantages for our customers through their use of our global platform

What we're looking for

• 14+ years of experience building customer centric applications and products
• Experience initiating and driving technical strategy
• Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications
• Extremely strong fundamental computer science skills and expert level knowledge of Scala or Java or related language
• Strong experience with data-intensive architectures
• Deep understanding of tradeoffs involved in release engineering and other processes
• Excellent written and verbal communication skills with a proven ability to present complex information in a clear and concise manner to a variety of audiences
• Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings

While not required, these are a plus:

• Advanced degree in a technical field such as computer science
• Previous experience working inside innovative, high-growth environments
• Experience creating structure within an environment with high levels of ambiguity
• Experience with leading the development of industry altering infrastructure
• Experience with leveraging AI technology to streamline engineering activities

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

3 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. #LI-SR1 #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 Senior Software Engineer to lead the design and implementation of our foundational incentive and rewards platform. In this role, you will act as a strong steward of our backend systems, building the core infrastructure that connects real-world vision signals with personalized member experiences. You are an expert-level engineer who can explain complex business and technical requirements, mentoring others while driving large-scope projects to completion. You thrive on high-growth challenges and are eager to build high-quality, scalable systems that bridge digital engagement with physical arrivals.

What you'll do

• Design and implement the backend services that power the Metropolis incentive and rewards infrastructure
• Build real-time event streaming architectures to process and react to high-frequency signals from the physical world
• Develop scalable compliance and preference management services to ensure cross-vertical message delivery integrity
• Architect intelligent decisioning frameworks that evaluate user context and profiles to deliver personalized experiences
• Create robust service architectures to manage product eligibility, partner configurations, and budget constraints
• Implement comprehensive attribution and measurement systems to quantify user engagement and campaign efficacy
• Scale and maintain multi-modal identity systems that bridge digital tokens with real-world identifiers
• Collaborate with cross-functional teams in Product, Marketing, and Data to define the long-term technical roadmap
• Mentor team members and lead technical discussions to drive continuous improvement of the engineering platform
• Drive the full software development lifecycle from initial conceptualization through to production deployment

What we're looking for

• 6+ years of software engineering experience
• BS or MS in Computer Science or equivalent work experience
• Working knowledge of Scala, Java, or other JVM languages supporting functional programming
• Experience building distributed systems using microservices, SOA, and event-driven architectures
• Deep understanding of agile processes and the software development life cycle, including TDD/BDD and CI/CD
• Experience with database technologies such as MySQL and RDS
• Proven ability to design and build highly available and scalable systems
• Excellent written and verbal communication skills for presenting complex technical information
• Professional exposure to developing large-scale, high-quality systems for consumer-facing applications

While not required, these are a plus:

• Hands-on experience with container technologies and infrastructure as code
• Previous experience working in innovative, high-growth environments 

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

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 $200,000.00 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-CM1 #LI-Onsite

Who we are

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.

What you'll do

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What we're looking for

• 5+ years experience with data/analytics engineering
• 5+ years of experience with Python and SQL (preferably Snowflake)
• 3+ years of experience with dbt (dbt certification a plus)
• Owned large-scale data projects that drove significant impact across the company by effectively partnering with engineering, data analysts, data scientists, and other business stakeholders
• Mentored other stakeholders in Data Science/Analytics, PM, and Engineering on data best practices
• Led the design, implementation, and monitoring of large-scale data warehouses and data marts that enable clear product-focused insights
• An expert at SQL, window functions, STRUCT/ARRAY manipulation, and query optimization
• Promoted performance best practices for your tables depending on the database engine (partitions, sort keys, dist keys, clustering, incremental modeling)
• Designed systems with a test-driven approach in mind to trap bad quality data or highlight alerts as part of your data flow
• Familiarity with ELT (Extract, Load, Transform) processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub
• Observability: Datadog

3 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. #LI-SR1 #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 of Applied AI to lead our newly formed Applied AI organization and architect an AI-first operating model from the ground up. You are a technical leader with a rare blend of engineering depth, organizational influence, and a relentless instinct for shipping production-ready systems. Reporting to senior leadership, you will define where AI creates the most leverage across our business—including finance, operations, and GTM—and build the high-performing team of AI Engineers and Process Analysts required to make that vision a reality. Your success will be measured by your ability to partner cross-functionally to redesign core processes, eliminating friction and delivering tangible outcomes in time savings and cost impact.

What you'll do

• Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM 
• Hire, develop, and lead a team of AI Engineers and Process Analysts while establishing a culture of fast iteration 
• Partner deeply with functional leaders to understand current work flows and design AI-first solutions to eliminate friction 
• Set standards for how the team designs, evaluates, and deploys AI workflows, including prompt systems and LLM integrations 
• Establish metrics for each process transformation and hold the team accountable to time savings, error reduction, and cost impact 
• Serve as the internal authority on applied AI capabilities, tooling trends, and emerging best practices 
• Present strategy, progress, and results to senior leadership and the executive team

What we're looking for

• 7+ years of experience in software engineering, AI/ML, or technical product leadership 
• At least 2 years leading teams that shipped AI-powered systems in production
• Maintain deep hands-on familiarity with LLMs, agentic workflows, and AI automation tooling such as OpenAI, LangChain, and vector databases
• Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions
• Show a track record of driving organizational change through technology and ensuring tools are adopted for sustained impact
• Apply experience working across functional boundaries to redesign processes with strong instincts for change management
• Utilize excellent communication skills to distill complex AI concepts for a non-technical executive audience
• Maintain a bias toward shipping by moving fast and setting clear expectations for high standards

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

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 $225,000.00 USD to $265,000.00 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-RR1 #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 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.

What you'll do

• Define the technical strategy and long-term roadmap for the Incentive Offers platform
• Architect scalable services for offer management, campaign eligibility, and business rule enforcement
• Design high-throughput infrastructure for real-time member communication and preference management
• Develop identity resolution systems that connect physical-world vehicle signals with digital member profiles
• Build robust attribution and measurement engines to track closed-loop redemption across diverse verticals
• Engineer seamless integrations between our platform and external partner systems or point-of-sale technologies
• Mentor senior engineering talent and advocate for high standards of engineering craft and efficiency
• Solve complex distributed systems problems related to high-volume transaction processing and data consistency
• Partner with Product and Marketing leaders to translate business objectives into scalable technical solutions
• Identify and resolve systemic bottlenecks to improve developer velocity and system reliability

What we're looking for

• Advanced degree in Computer Science or a related technical field
• 8+ years of experience building customer-facing applications and complex distributed systems
• Demonstrate expert proficiency in Scala, Java, or similar JVM-based languages
• Experience with AI/ML tools to improve engineering productivity or system intelligence
• Show a proven track record of leading technical strategy for significant engineering initiatives
• Possess a strong background in architecting data-intensive platforms and real-time event-driven systems
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders
• Mentor engineers to foster a high-performance engineering culture and technical growth
• Design for operational excellence including observability, monitoring, and automated testing
• Navigate high levels of ambiguity and deliver results in a fast-paced environment

While not required, these are a plus:

• Familiarity with marketing technology stacks or consumer-facing loyalty platforms
• Experience working in high-growth startup environments or industry-leading tech companies

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

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 $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. #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 an Financial Systems Administrator to join our team. You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams. In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data. You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models. The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers.

What you'll do

• Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS)
• Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning
• Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion
• Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes
• Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python
• Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations
• Utilize EPM Automate alongside Python or batch scripting for complex job scheduling
• Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments
• Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applications

What we're looking for

• 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise
• Bachelor’s degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field
• Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM
• Proficiency in SQL and Python with a proven track record of automating financial processes
• Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers
• Exceptional ability to bridge the gap between technical data architecture and functional financial insights
• Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT
• Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environment
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• Experience with Groovy scripting

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 $120,000.00 USD to $130,000.00 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-AW1 #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 Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

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 $130,000.00 USD to $175,000.00 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

Role Description

We are seeking a strategic, analytically driven, and people-focused Director, Business Analytics to join our team. Reporting to the VP, Business Analytics, this leadership role will drive advanced marketing analytics, measurement strategy, and data-informed decision making across integrated paid media campaigns.

The ideal candidate combines expertise in media analytics and measurement with strong leadership, communication, and operational management skills. This individual will serve as a trusted partner to clients and internal stakeholders, translating complex data into actionable business insights while leading a high-performing analytics team in a fast-paced environment.

This role requires a balance of strategic thinking, hands-on problem solving, client partnership, team leadership, and operational excellence.

Key Responsibilities

Client Strategy & Analytics Leadership

• Lead development of marketing measurement strategies, analytic roadmaps, learning agendas, and cross-channel performance frameworks aligned to client business objectives
• Partner with clients and internal teams to deliver actionable insights, optimization opportunities, and strategic recommendations across campaigns, audiences, and media channels
• Translate complex analytical findings into clear business implications and compelling storytelling for client and executive audiences
• Design and oversee advanced measurement approaches including attribution, experimentation, forecasting, media effectiveness, and budget optimization
• Lead development and presentation of holistic analyses that identify not only what happened, but why it happened and what actions should be taken next

Measurement & Business Intelligence

• Oversee development and delivery of business performance reporting, dashboards, and measurement solutions across weekly, monthly, quarterly, and seasonal deliverables
• Apply agency methodologies, analytical frameworks, and third-party vendor solutions to assess advertising effectiveness and business impact
• Partner cross-functionally with Planning, Strategy, Activation, Audience, Investment, and Data teams to align analytics initiatives with broader client goals
• Evaluate and manage relationships with measurement vendors and analytics partners
• Identify opportunities to improve analytical rigor, reporting automation, operational efficiency, and scalability across the analytics function

Team Leadership & Operations

• Lead, mentor, and develop a team of direct and indirect reports while fostering a collaborative, high-performing, and people-first culture
• Establish strong operational processes, prioritization frameworks, and workload management practices to ensure high-quality deliverables and sustainable team utilization
• Manage multiple concurrent projects and workstreams while maintaining strong attention to detail, timelines, and quality standards
• Collaborate across disciplines to drive integrated agency solutions and support business growth initiatives

Innovation & Thought Leadership

• Serve as a subject matter expert across media measurement, analytics, and marketing effectiveness capabilities
• Stay informed on emerging trends, technologies, and methodologies within the marketing analytics and ad tech ecosystem
• Contribute to development of new analytical offerings, frameworks, and client solutions
• Support new business opportunities through analytics thought leadership and strategic consultation

What Makes Someone Successful in This Role

• Entrepreneurial mindset with a proactive, solution-oriented approach
• Strong client partnership and stakeholder management skills
• Collaborative leadership style with a passion for mentoring and team development
• Ability to balance strategic thinking with hands-on execution
• Comfort navigating ambiguity and solving complex business challenges
• Commitment to high-quality work, continuous improvement, and sustainable team culture

Qualifications

Required Experience & Skills

• 8+ years of experience in marketing analytics, media analytics, business intelligence, or measurement strategy within an agency, consulting, or related marketing environment
• Bachelor’s degree or higher in a quantitative discipline such as Statistics, Economics, Mathematics, Data Analytics, Marketing Analytics, or related field; advanced degree preferred
• Strong understanding of the digital media ecosystem, advertising measurement methodologies, and ad tech landscape
• Proven experience influencing marketing strategy through data-driven analytics and measurement solutions
• Proven expertise in building end-to-end measurement frameworks, including KPI definition, taxonomy design, and performance diagnostics across the full funnel
• Strong experience developing structured reporting solutions (PowerPoint, Excel, and/or Tableau), translating complex data into clear, actionable insights for clients
• Demonstrated ability to synthesize performance into compelling narratives, connecting media activity to business outcomes in client-facing presentations
• Strong command of cross-channel performance analysis, including identifying drivers of efficiency, optimization opportunities, and strategic implications
• Strong communication and storytelling skills with the ability to simplify complex analytical concepts for technical and non-technical audiences
• Demonstrated success managing client relationships and delivering actionable recommendations that drive business outcomes
• Strong leadership, project management, prioritization, and organizational skills within fast-paced, high-volume environments
• Experience managing and developing teams, including coaching, mentorship, and performance management
• Advanced critical thinking and problem-solving skills with strong attention to detail

Technical & Analytical Expertise

• Deep experience analyzing media performance across ad serving, DSPs, site analytics, and paid social platforms with an understanding of platform nuances and data limitations, including but not limited to:
• Google Campaign Manager / CM360
• Google Analytics / Adobe Analytics
• DV360 / TradeDesk / Amazon DSP
• Meta / TikTok / Snapchat / Pinterest / Reddit
• Experience working within data clean room environments (e.g., Ads Data Hub, Amazon Marketing Cloud, Snowflake), ensuring teams leverage appropriate methodologies to derive privacy-compliant insights
• Strong understanding of measurement areas and their methodologies, including:
• Attribution measurement (e.g. MMM, MTA)
• Brand lift/ad effectiveness measurement
• Foot traffic measurement
• Incrementality measurement
• Attention and/or cross-media measurement
• Forecasting, experimentation, and media optimization
• Statistical methodologies including significance testing, regression analysis, correlation analysis, leading indicator analysis, and sample sizing
• Ability to set strategic direction for advanced analytics (e.g., MMM, incrementality, causal inference), guiding specialized Data Science teams without requiring hands-on coding
• Experience partnering with Data Management & Visualization teams to define data requirements, inputs, and outputs needed to support reporting, performance analysis, and advanced measurement
• Ability to provide direction on dashboard design and analytical outputs, ensuring Visualization teams deliver intuitive, insight-driven reporting aligned to business needs
• Experience with first-party CRM data, third-party audience data, and vendors to support the above measurement areas
• Exposure to advanced analytical techniques such as predictive modeling (decision trees, k-means clustering, natural language processing, etc.)
• Familiarity with SQL-based data environments and data structures, enabling effective collaboration on data extraction, transformation, and analysis workflows
• Working knowledge of Python and/or R is not required but a plus to effectively collaborate with Data Management and Data Science teams on automated pipelines, scalable data models, and API-driven integrations
• Fluency in interpreting technical outputs (R/Python models, statistical results) and translating them into clear business implications for clients and internal stakeholders also a bonus

Wage and Benefits

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. 

We also offer a competitive Total Compensation package, including a competitive salary and eligibility for an annual discretionary incentive award or a relevant incentive award. 

The salary range for this position is posted below.  Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications.   

Employment Transparency

It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. 

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. 

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.  

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com.

At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture, and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary:

Reltio is seeking a strategic and experienced Senior Alliances Manager – AWS to lead and expand our global partnership with AWS, while also supporting a select strategic ISV partner (e.g., Snowflake, Databricks, or similar) that expands Reltio’s joint value proposition across data, analytics, and AI use cases.

This role is responsible for defining and executing partnership strategy, driving co-sell and marketplace motions, and accelerating partner-influenced revenue across AWS and aligned ecosystem partners.

As a senior individual contributor, this role requires the ability to operate with high autonomy, influence executive stakeholders, and lead complex, cross-functional initiatives. The ideal candidate brings deep expertise in the AWS partner ecosystem and a proven ability to translate ecosystem complexity into scalable, revenue-generating outcomes.

Key Responsibilities:

Strategic Partnership Ownership & Focus

• Own and evolve Reltio’s global AWS partnership strategy, including co-sell, marketplace, and joint solution development.
• Develop and manage engagement with a key strategic ISV partner to expand Reltio’s go-to-market reach and joint solution capabilities.
• Define multi-year growth strategies, investment priorities, and joint initiatives aligned to Reltio’s business objectives.
• Act as a trusted advisor to internal leadership on AWS strategy, ecosystem trends, and competitive positioning.

AWS Partner Program Strategy & Execution

• Serve as Reltio’s internal subject matter expert on the AWS partner ecosystem, including programs, incentives, and co-sell mechanisms.
• Own and optimize engagement with AWS partner programs, including ISV co-sell (e.g., ISV Accelerate), WMP, MPOPP, POC funding, and MDF programs.
• Lead strategy and execution for deal registration, co-sell alignment, and opportunity management within AWS systems (e.g., ACE pipeline).
• Develop scalable frameworks and best practices to increase adoption of AWS programs across Reltio field teams.
• Act as the primary escalation point for complex AWS deal structures, funding approvals, and marketplace transactions.

Go-to-Market & Revenue Execution

• Drive pipeline generation through joint activities with AWS, including participation in partner summits, industry events, and executive roundtables, as well as leading targeted initiatives (e.g., data sprints) to accelerate joint sales engagement and deal progression.
• Design and scale repeatable AWS GTM plays, incorporating ISV capabilities where relevant.
• Lead complex, multi-party deal orchestration across Reltio, AWS, and ISV stakeholders.
• Support and scale AWS Marketplace transactions, including Private Offers and partner-involved deals.
• Align GTM execution with AWS incentives and programs to maximize deal velocity and conversion.
• Maintain visibility into pipeline health, progression, and performance.

Executive Engagement & Influence

• Build and maintain senior relationships within AWS and key stakeholders within the ISV partner organization.
• Lead executive business reviews (QBRs/EBCs) with AWS stakeholders to align on strategy, pipeline, and priorities.
• Influence AWS field teams and partner stakeholders to prioritize Reltio within co-sell and funding motions.
• Represent Reltio in AWS partner forums, industry events, and executive engagements, acting as a thought leader.

Solution & Ecosystem Development

• Drive development of AWS-first joint solutions, reference architectures, and offerings.
• Collaborate with Product and Engineering to prioritize integrations aligned to AWS and the selected ISV platform.
• Identify opportunities where the ISV partner can enhance AWS-centric solution positioning, particularly in data and AI use cases.
• Support enablement of field teams to effectively position AWS + Reltio and AWS + Reltio + ISV solutions.

Operational Excellence

• Establish and maintain partnership governance models, including planning cadence, KPIs, and executive reporting.
• Track and report on pipeline, revenue, marketplace performance, and program impact.
• Continuously optimize partnership performance through data-driven insights and scalable process improvements.
• Manage ambiguity and competing priorities, balancing short-term execution with long-term strategic impact.

Skills You Must Have:

• Bachelor’s degree or equivalent practical experience.
• 8+ years of experience in alliances, partnerships, or business development within enterprise software or cloud ecosystems.
• Deep, hands-on expertise in the AWS partner ecosystem, with direct experience operating within AWS or an ISV with an established AWS partnership,
• Demonstrated success leveraging AWS co-sell programs (e.g., ISV Accelerate), AWS Marketplace (Private Offers &  CPPO), funding programs (MDF,  POC funding, MPOPP, and WMP) well as driving deal registration, opportunity management, and broader partner program initiatives.
• Strong understanding of data platforms, analytics, and/or AI/ML ecosystems.
• Demonstrated ability to define and execute partnership strategy, not just support execution.
• Proven success influencing executive stakeholders internally and externally.
• Track record of driving complex, multi-party deals and scalable GTM motions.
• Excellent program management, organizational, and analytical skills, with attention to detail and the ability to manage multiple priorities.
• Proactive, high-energy, and results-oriented mindset with a demonstrated track record of high performance in fast-paced environments.
• Excellent communication, storytelling, and executive presentation skills.
• Willingness to travel up to 20% of the time