We are seeking a Principal Analytic Engineer to lead how data is sourced, integrated, and structured within our data warehouse, ensuring it is consistent, trusted, and usable for decision-making across PMC.

This role sits at the intersection of data engineering and business operations, with responsibility for shaping how data from a wide range of systems—CMS platforms, web analytics tools, ad tech systems, and internal applications—is collected, standardized, and made available for use.

As a senior individual contributor, you will operate as both architect and hands-on builder: designing data models, guiding data ingestion and transformation strategies, and working closely with stakeholders to ensure data aligns with real business needs across editorial, audience, product, and advertising teams.

You will have a chance to work on some of the best brands in media including You will have the chance to work on some of the largest, trusted brands in entertainment and fashion news, including Variety, Billboard, Deadline, WWD, and Rolling Stone.

Key Responsibilities

• Define how data is sourced and integrated from key systems, including CMS platforms, web analytics tools, ad tech platforms, and business applications
• Evaluate and establish appropriate sources of truth across competing systems, ensuring data is accurate and fit for use
• Design and maintain scalable data models that transform raw data into structured, business-ready datasets
• Lead development of transformation workflows (e.g., dbt) within Snowflake and BigQuery environments, contributing hands-on to complex modeling efforts
• Establish standards for how data is organized, documented, and used across the data warehouse
• Implement data quality checks, validation frameworks, and monitoring to ensure reliability of critical datasets
• Partner with Data Engineering on ingestion patterns, pipeline performance, and upstream data quality
• Structure data to support consistent interpretation across Editorial, Product, Audience, Ad Sales, and Finance teams
• Support BI tools (e.g., Looker) with well-defined, governed datasets and reduce fragmentation in reporting
• Translate business needs into scalable data solutions, working closely with cross-functional stakeholders
• Act as a central authority on data meaning, resolving questions around definitions, discrepancies, and interpretation
• Establish best practices for modeling, transformation, and documentation while mentoring analysts and engineers
• As part of a team, support break/fix scenarios when necessary and serve in an on-call rotation

Qualifications

You do not need to check every box for the experience below. If you are passionate about this opportunity, we would love to hear from you.

• 8+ years of experience in data engineering, analytics engineering, or related roles
• Expert-level SQL and strong experience designing scalable data models for analytics and reporting use cases
• Proven experience working with modern data warehouses (e.g., Snowflake, BigQuery) and cloud environments (AWS and/or GCP)
• Hands-on experience building transformation workflows (e.g., dbt or similar tools)
• Experience working with complex, multi-source data environments (e.g., combining web analytics, ad tech, and business systems)
• Familiarity with Google Analytics 4 and Parsely analytics platforms
• Experience working with advertising data (e.g., Google Ad Manager, programmatic ecosystems)
• Experience evaluating and reconciling conflicting data sources
• Experience implementing data quality, validation, and monitoring practices
• Experience supporting BI tools such as Looker

What Success Looks Like

• Clearly defined and trusted sources of truth for audience, content, and revenue data across all teams
• Elimination of recurring discrepancies between key systems (e.g., web analytics vs. ad platforms) through thoughtful data modeling and source selection, and ability to confidently answer the question “why are these two numbers different?”
• Increased business partner engagement in self-serve analytics platforms, with teams relying on shared, well-structured datasets instead of one-off analyses
• Broad adoption of standardized data models, minimizing fragmented reporting and duplicate logic
• Strong alignment across Editorial, Product, and Ad Sales on how performance is measured and interpreted
• Increased confidence in data, with stakeholders relying on outputs without needing to independently validate or reconcile them
• A unified, usable view of data that enables better decisions around content performance, audience engagement, and monetization by consolidating overlapping data models and taking ownership of term definitions across all data models to bring standardization and clarity to reporting semantics across the company
• This role succeeds through strong collaboration with other members of the Data team—sharing context, reviewing work, and co‑owning decisions—so that improvements to data models and metrics are durable beyond any single individual.

As PMC values in-person collaboration and team cohesion, employees work onsite 4 days a week and 1 day remotely with a focus on maintaining a vibrant and inclusive culture.

Typical wage range: $150k - $170k. Factors that could be used to determine your actual salary may include your specific skills, years of experience and comparison to current employees already in this role. If you have more or less experience than specified on this job posting, please apply and list your salary expectations.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors).

It’s all About You…

PMC's comprehensive benefits package is thoughtfully designed to support every aspect of your life, empowering you to thrive both personally and professionally. We offer PMC-Paid Healthcare with no employee paycheck contributions on medical, dental, and vision for you and your family. PMC also offers Flexible Spending Accounts (Healthcare, Dependent Care & Commuter), an Employee Assistance Program, Life Insurance, Short- & Long-Term Disability, Paid Parental Leave, and a 401(k) Retirement Plan with an Employer match. Employees are also eligible to take advantage of company discounts and perks including Pet Insurance, Home & Auto Insurance, Mortgage discounts, and a variety of other savings on wellness, lifestyle, and financial essentials. As part of PMC's dedication to consistently meeting employees’ needs, we are currently launching a new Flexible Vacation Policy.

At PMC, we believe working in a highly collaborative, office-first environment fosters real-time communication, spontaneous idea sharing, and stronger interpersonal relationships that drive innovation and team cohesion. PMC prioritizes in-person collaboration and does not offer remote-only roles.

Who We Are

EDO is the TV outcomes company. Our measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales, helping advertisers, agencies, networks, streamers, and studios understand what works across linear and streaming TV.

We combine immediate engagement signals with decision science, vertical AI, and investment-grade data to help the advertising industry maximize media impact, optimize creative performance, and value every impression. EDO is headquartered in New York City and Los Angeles with office space in San Francisco. For employees residing full-time in NYC, SF, or LA, we have a hybrid work policy of three days in the office and two remote work days.

The Role

EDO is looking for a Senior Platform Engineer to help accelerate our shift toward a platform model. This is a senior IC role on the Infrastructure team focused on paved paths, reusable infrastructure patterns, and self-service workflows that help software, data, and machine learning engineers ship safely and efficiently.

Our environment is AWS-heavy and data-intensive, with heavy use of EC2, RDS, S3, SageMaker, MWAA/Airflow, Snowflake, dbt, Chef, Terraform, Spacelift, and emerging ECS/container patterns. The right person has strong AWS and infrastructure-as-code fundamentals, prior exposure to platform engineering practices, and the pragmatism to modernize existing systems without assuming everything should be rebuilt from scratch.

We approach infrastructure as an internal product: understanding engineers’ needs, prioritizing high-leverage platform capabilities, and iterating on tools and workflows that make teams faster, safer, and more self-sufficient.

What You Will Do

• Build and evolve EDO's internal platform capabilities: paved paths, reusable infrastructure modules, deployment standards, documentation, and self-service workflows.
• Own and improve Terraform and Spacelift-based infrastructure workflows, including module design, reviews, approvals, drift detection, and guardrails.
• Modernize existing AWS infrastructure, including EC2- and Chef-based systems, while helping teams adopt more standardized and repeatable patterns over time.
• Support production data and ML platform infrastructure, including MWAA/Airflow, Snowflake, dbt, SageMaker, S3, RDS, and related AWS services.
• Partner with software, data, and ML engineers as internal customers, turning recurring infrastructure needs into scalable platform capabilities rather than one-off support work.
• Improve deployment, CI/CD, observability, alerting, and incident response practices so teams can operate production systems with greater confidence.
• Expand pragmatic ECS/container deployment patterns where they create value, without treating Kubernetes as the default answer.
• Participate in a lightweight on-call rotation and use operational learnings to reduce toil, improve reliability, and strengthen the platform.

What We Are Looking For

• 6+ years of experience in platform engineering, infrastructure engineering, SRE, DevOps, cloud infrastructure, or similar roles.
• Experience building, operating, or contributing to an internal developer platform, infrastructure platform, developer productivity team, or similar platform-oriented function.
• Strong production experience with AWS, especially EC2, RDS, S3, IAM, networking, load balancing, and related operational patterns.
• Strong hands-on experience with Terraform or similar infrastructure-as-code tooling, including reusable modules and multi-environment patterns.
• Comfort working in a data-heavy environment and supporting technologies such as Airflow/MWAA, Snowflake, dbt, SageMaker, S3, and RDS.
• Product-minded approach to infrastructure: able to understand engineer pain points, prioritize high-impact platform work, document paved paths, and iterate based on adoption and feedback.
• Strong operational judgment, including debugging production systems, improving observability, and building platform patterns that support reliability, security, and cost efficiency.

Bonus Points

• Hands-on experience with Spacelift or similar IaC orchestration platforms such as Terraform Cloud or Atlantis.
• Experience helping an organization adopt platform engineering practices, including paved paths, golden paths, service templates, and developer-facing documentation.
• Experience with Chef, AWS cost management, security/compliance-driven infrastructure, or production ML/data science infrastructure.

Compensation and Benefits

EDO offers a competitive compensation package. Components of compensation include:

• Mid-stage equity and competitive salary
• Flexible Time Off
• Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
• 401(k) plan, FSA, HSA
• Commuter Benefits
• When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $170,000 to $190,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.

EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

Who we are 

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs  succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. 

What you’ll do

We are looking for a Head of Growth & Performance Marketing who operates at a world-class level — someone who can drive measurable revenue growth through disciplined experimentation, deep analytical insights, and mastery of paid acquisition channels.

• Own Otter’s global performance marketing strategy, spanning paid social, paid search, display, retargeting, and emerging channels.
  
  
• Manage and optimize $XM+ annual performance marketing budget with clear ROI and CAC efficiency targets.
  
  
• Build, scale, and continuously iterate on acquisition funnels across Meta Ads, Google Ads, and additional paid platforms.
  
  
• Develop a quantitative experimentation roadmap (A/B tests, landing page optimization, ad creative, audience segmentation).
  
  
• Partner with Product, Growth, Brand, and Sales to ensure full-funnel alignment and cross-functional acceleration.
  
  
• Own forecasting, spend pacing, weekly/monthly reporting, and insights for senior leadership.
  
  
• Drive attribution improvements using tools like GA4, Mixpanel, Looker, or Snowflake.
  
  
• Evaluate new channels, automation tools, and AI-powered optimization solutions to increase scale and lower CAC.
  
  
• Be a strategic thought partner to Otter’s leadership on overall growth strategy, channel mix, and long-term customer acquisition models.

What we’re looking for

• 10+ years in performance or growth marketing with direct ownership of a $M+ annual ad spend.
• Operator experience in a $50M+ ARR environment (SaaS, marketplace, high-growth startup, consumer goods or multi-market consumer tech).
• Deep expertise in Meta Ads and Google Ads, with a track record of scaling CAC-positive programs.
• Strong mathematical and analytical capability — comfortable in SQL, Excel, Looker, and funnel analytics.
• Proven ability to design full-funnel strategies and systematically improve every conversion point.
• Demonstrated ability to work in a high-growth, high-ambiguity environment with fast iteration cycles.
• Exceptional communication skills, with the ability to influence and present to senior stakeholders.

Why join us 

• Real impact: You will directly own one of the largest levers for Otter’s growth.
• Fast moving environment where great operators thrive.
• Opportunity to shape the future of restaurant technology.
• High ownership role with direct visibility to senior leadership across Otter and CSS.

What else you need to know

This role is based in our Los Angeles office location. We believe that people do their best work when they are together. As a company, we’re in the marketplace of ideas and innovation. When you’re constantly innovating, changing how an industry works, inventing new products and processes - and we are doing all these things - we believe we’re better as a team in-person. That’s why all of our teams (except for our field-based roles) are now working from one of our office locations 5 days a week. Looking forward to sharing more about a Career of Substance at Otter.

The base salary range for this role is $170,000 - $200,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):

• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company-paid life and disability insurance (short- and long-term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Time Off policies:
• Discretionary vacation days
• 8 paid holidays per year
• Paid sick time
• Paid Bereavement leave
• Paid Parental Leave

Benefits are subject to change at the company's discretion.
CSS accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others? 

#LI-Onsite

To enable millions of users to explore, interact with, and participate in live events worldwide, StubHub is seeking a Senior Product Manager to manage the development of next-generation technologies and innovative, impactful features. You’ll lead our Seller Experience, Post-Purchase org, responsible for delivering on the strategy and execution of the end-to-end seller experience, after sellers list their tickets on our platform. You will build and launch products that drive trustworthy, low-friction buyer and seller experiences, and evolve our incentives and policies for sellers. This is an opportunity for a strong PM to lead and build AI/Automation capabilities that result in improved seller experiences, provide faster and clearer decisions and drive more efficient operations on a global scale. 

Location: Hybrid (3 days in office / 2 days remote) – New York, NY or Century City, CA 

About the Team:  

We provide a world class end-to-end post-purchase seller experience designed to deliver a consistently great buyer experience. We solve for the largest seller pain points with holistic product led solutions and build clear, fair policies and incentives that elevate seller performance. Our work balances accountability with enablement: we reduce friction for good sellers through better education and incentives while increasing the effectiveness of enforcement when standards aren’t met.  

What You’ll Do:  

• Own the strategy for the Seller Experience, Post-Purchase and translate it into a prioritized, measurable roadmap aligned to company goals.
• Reduce seller friction via proactive policy communications, in-product guidance, and self-serve payment and dispute workflows that resolve issues quickly and teach best practices.
• Design, automate, and evolve policy architecture from one-size-fits-all to targeted frameworks that vary by seller segment, geo, event type, and risk profile, enabling faster iteration and better outcomes.
• Refine and build our incentive mechanisms for sellers and subsequent innovations, including rules, punishments, and positive incentives. 
• Increase enforcement effectiveness by improving issue detection and collections flows – raising the recoup rate of seller fines while minimizing impact on good-faith sellers.
• Lead cross-functional execution with Engineering, Operations, CS, Strategic Finance and Legal; write crisp specs, sequence delivery, and manage trade-offs.
• Measure and analyze end-to-end customer experience and policy funnels, running experiments to improve the seller experience and tune incentives and penalties.
• Champion a culture that moves fast responsibly – shipping iteratively while safeguarding marketplace trust and the bottom line.
• Assist with building and developing a more mature seller experience organization. 

What You’ve Done:  

• 5+ years in Product Management (or equivalent) with experience in two-sided marketplaces, policy & incentives design, enterprise customers or workflow/UX systems.
• Shipped scaled, enterprise products, with highly technical foundational, platform-like services.
• Customer obsessed, with demonstrable results in building product led solutions to improve the customer experience.
• Proven track record designing behavioral incentive systems that shape user actions at scale (e.g., marketplace supply, gig economy, fintech risk, gaming economies).
• Able to break down complex systems into understandable components; excellent written specs and stakeholder communication across Engineering, Legal, Risk, Finance, and Ops.
• Strong analytical chops; comfortable defining metrics and digging into data with tools like SQL, Snowflake, and Tableau to solve problems and analyze experiments. 

What We Offer:

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

Our enterprise software team builds the digital backbone that powers K2 Space’s satellite design, manufacturing, and mission operations. We develop tools that connect engineering, production, and mission control into a seamless ecosystem — enabling our hardware to get from concept to orbit faster than ever before.

We’re looking for engineers who are curious, collaborative, and driven to deliver mission-critical software that helps turn ambitious space projects into reality.

Responsibilities

• Develop highly reliable software solutions used across K2 Space — from factory floors to mission control.
• Create and evolve applications that improve how we design, build, and operate our spacecraft.
• Partner closely with engineers, business partners and leaders across disciplines to understand their challenges and design efficient solutions.
• Build prototypes to test concepts and validate technical constraints.
• Develop prototypes into working product features.
• Own full-lifecycle feature development from inception to happy customers.
• Actively contribute to software features and bug fixes.
• Understand tradeoffs in competing engineering options and be able to articulate these tradeoffs to senior engineers and contribute to implementation progress.
• Work with customers to drive adoption and make progress on product usability.
• Understand priorities communicated by senior staff and work to develop solution with minimal oversight.
• Ability to balance being strongly opinionated on tech stack while remaining open-mind and willingness to reevaluate with new data point.
• Actively contribute to building a culture of transparency, empathy, integrity and engineering excellence.
• Actively mentoring other staff members and help team members build good culture and engineering practices.

Qualifications

• Bachelor's degree in computer science, information technology, mathematics or a STEM discipline or 1-3+ years of professional experience in software engineering.
• 1+ years of experience in full stack development, platform engineering or API development.
• 1+ years of experience with AWS.
• 1+ years of in-depth working experience with CI/CD such as GH Actions, Jenkins, Gitlab CI/CD.
• 1+ years of in-depth working experience with Git.
• 1+ years of in-depth working experience with Docker.
• 1+ years of in-depth working experience with Kubernetes (prefer AWS EKS).
• Working experience with one or more of the following static typed programming languages such as C#.NET, Go, Java.
• 1+ years of experience with structured database such as PostgreSQL, SQL Server, Snowflake or similar technologies
• 1+ years of experience with unstructured database such as NoSQL, Amazon DynamoDB, MongoDB or similar.
• Working experience with all aspects of software engineering best practices.
• Working experience with REST API or gRPC.
• Working experience with binary management platforms such as JFrog Artifactory, AWS CodeArtifact or similar technologies.
• Experience with infrastructure orchestration and management tools (Terraform, Ansible, Puppet).
• Working experience with OAuth 2.0 and OIDC.

Nice to Have

• Experience with Next.js, React, Angular, or similar frameworks.
• Working experience with TypeScript.
• Working experience with testing tool such as Cucumber and Cypress.
• Foundational knowledge of scalable, high-performance software systems.
• Knowledge of build systems and package management tools (e.g., Make, Gradle, npm, pip).

Compensation and Benefits:

• Base salary range for this role is $123,000  $160,000 + equity in the company
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
• Comprehensive benefits package including unlimited paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks

The Role 

As a Senior Application Software Engineer on our Enterprise Team, you will design and build mission-critical software that connects engineering, manufacturing, and operations. Your work will directly enable accelerated satellite design, rapid production, and reliable mission execution. You’ll collaborate closely with teams throughout K2 Space and deliver systems that improve efficiency, scale operations, and support ambitious missions.

Responsibilities 

• Develop highly reliable software solutions used across K2 Space — from factory floors to mission control. 
• Create and evolve applications that improve how we design, build, and operate our spacecraft. 
• Partner closely with engineers, business partners and leaders across disciplines to understand their challenges and design efficient solutions. 
• Build prototypes to test concepts, validate technical constraints and progress to production features. 
• Own full-lifecycle feature development from inception to happy customers. 
• Actively contribute to software architecture design, deployment strategy, coding standards and quality processes. 
• Understand tradeoffs in competing engineering options and be able to articulate these tradeoffs to senior leadership to help drive decisions. 
• Work with customers to drive adoption and make progress on product usability. 
• Use data to drive prioritization of work and design of solutions to create the largest positive impact.  
• Actively contribute to building a culture of transparency, empathy, integrity and engineering excellence.  
• Actively mentoring other staff members and help team members build good culture and engineering practices.  

Qualifications 

• Bachelor's degree in computer science, information technology, mathematics or a STEM discipline or 8+ years of professional experience in software engineering.  
• 5+ years of experience in full stack development, platform engineering or API development. 
• 3+ years of experience with AWS. 
• 3+ years of in-depth working experience with CI/CD such as GH Actions, Jenkins, Gitlab CI/CD.  
• Working experience with Docker. 
• In-depth working experience with Kubernetes (prefer AWS EKS). 
• Expert working experience with one or more of the following static typed programming languages such as C#, Go, Java, C++, TypeScript. 
• 3+ years of experience with structured database such as PostgreSQL, SQL Server, Snowflake or similar technologies 
• Working experience with unstructured database such as NoSQL, Amazon DynamoDB, MongoDB or similar. 
• Strong working experience with REST API or gRPC. 
• Strong working experience with binary management platforms such as JFrog Artifactory, AWS CodeArtifact or similar technologies. 
• Experience with infrastructure orchestration and management tools (Terraform, Ansible, Puppet). 

Nice to Have 

• Experience with Next.js, React, Angular, or similar frameworks. 
• Working experience with testing tool such as Cucumber and Cypress. 
• Experience designing scalable, high-performance software systems. 
• Knowledge of build systems and package management tools (e.g., Make, Gradle, npm, pip). 
• Familiarity with data streaming technologies like Apache Kafka, RabbitMQ, or similar. 

Compensation and Benefits: 

• Base salary range for this role is $160,000 - $200,000 + equity in the company 
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level 
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks 

The Role 

As a Principal Application Software Engineer on our Enterprise Team, you will design and build mission-critical software that connects engineering, manufacturing, and operations. Your work will directly enable accelerated satellite design, rapid production, and reliable mission execution. You’ll collaborate closely with teams throughout K2 Space and deliver systems that improve efficiency, scale operations, and support ambitious missions.

Responsibilities 

• Develop highly reliable software solutions used across K2 Space — from factory floors to mission control. 
• Create and evolve applications that improve how we design, build, and operate our spacecraft. 
• Partner closely with engineers, business partners, and leaders across disciplines to understand their challenges and design efficient solutions. 
• Develop prototypes test concept and progress to full fledge software products. 
• Own full-lifecycle product development from inception to happy customers. 
• Lead architecture reviews, design discussions, and code reviews with your unique perspective. 
• Lead software architecture design, deployment strategy, coding standards, and quality processes. 
• Evaluate and make decisions regarding engineering options while balancing tradeoffs.  
• Advocate, defend and convert other engineering leaders to your own solutions. 
• Use data to drive prioritization of work and design of solutions to create the largest positive impact. 
• Actively contribute to building a culture of transparency, empathy, integrity, and engineering excellence.  
• Actively mentoring other staff members and help team members build good culture and engineering practices.  

Qualifications 

• Bachelor's degree in computer science, information technology, mathematics or a STEM discipline or 15+ years of professional experience in software engineering.  
• 10+ years of experience in full stack development, platform engineering, or API development. 
• 5+ years of experience with AWS (or Azure, GCP) 
• 5+ years of in-depth working experience with CI/CD such as GH Actions, Jenkins, Gitlab CI/CD.  
• Working experience with Docker. 
• In-depth working experience with Kubernetes (prefer AWS EKS). 
• Expert working experience with one or more of the following static typed programming languages such as C#, Go, Java, C++, TypeScript. 
• 5+ years of experience with structured database such as PostgreSQL, SQL Server, Snowflake or similar technologies 
• Working experience with unstructured database such as NoSQL, Amazon DynamoDB, MongoDB or similar. 
• Strong working experience with REST API or gRPC. 
• Strong working experience with binary management platforms such as JFrog Artifactory, AWS CodeArtifact or similar technologies. 
• Experience with infrastructure orchestration and management tools (Terraform, Ansible, Puppet). 

Nice to Have 

• Experience with Next.js, React, Angular, or similar frameworks. 
• Working experience with testing tool such as Cucumber and Cypress. 
• Experience designing scalable, high-performance software systems. 
• Knowledge of build systems and package management tools (e.g., Make, Gradle, npm, pip). 
• Familiarity with data streaming technologies like Apache Kafka, RabbitMQ, or similar. 

Compensation and Benefits: 

• Base salary range for this role is $190,000 - $230,000 + equity in the company 
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level 
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks 

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

About Carvana

“We believe CVNA is in the early stages of becoming the next U.S. retail category killer.” 

– Stephens Investment Bank, Analyst Report, Sept. 2024

“Growing a capital and labor intensive, industrial type asset at a 40% clip is unchartered territory…”

– JP Morgan Chase, Analyst Report, Jan 2026

Building leading-edge technology has been at the core of Carvana's strategy since our founding, driving us to become the 3rd fastest company in history to organically reach the Fortune 500, following only Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as both the fastest-growing and most profitable automotive retailer in the US, thanks to our deep vertical integration across retail, lending, vehicle transportation, wholesale auctions, and more.

Our technology teams build:

• End-to-end ecommerce for buying and selling cars, including everything you see on Carvana.com and in our mobile apps.
• AI-driven customer support across chat, email, SMS, and voice, as well as a proprietary CRM platform built for efficiency and quality at scale.
• 360° vehicle photography and interactive merchandising using cutting-edge computer vision and AI.
• The most sophisticated self-service automotive lending platform in the world; a full fintech stack.
• Systems and tools behind a nationwide logistics network that has delivered and picked up over 3 million cars via our fully owned and operated fleet, reaching 90% of US driveways.
• Enterprise-grade systems for operating the largest vehicle reconditioning facilities in the US, with workflow automation covering everything mechanical, electrical, and cosmetic.
• Early adoption and customization of AI tools to optimize developer efficiency and experience.

And much, much more…

About the team and position

Our Product team is at the center of that growth, and we are hiring. We are an AI-first technology organization that moves fast, operates with high ownership, and builds things that matter at scale. If you want to grow not just as a Product Manager but as a leader and business-builder, Carvana is the place for you.

We are hiring Product Managers across several teams in Los Angeles and Phoenix, spanning mid-level and senior roles. While each team has its own focus area, we look for the same foundational qualities across all of them: strong product instincts, a data-driven mindset, an AI-first approach to work, and the drive to own outcomes end to end.

The Teams

Depending on your background and interests, you may be considered for one or more of the following teams:

• Conversational AI: Own the roadmap and continuous improvement of Sebastian, our AI-powered conversational agent built on leading-edge LLMs that helps millions of customers research, buy, sell, and manage their vehicles.
• Transactional Communications: Own the customer-facing communications ecosystem across email and SMS, delivering clear, empathetic, and timely messages throughout the car-buying journey at scale.
• Nurture: Lead nurture communications on an AI-first team, guiding customers from early interest through purchase using machine learning, personalization, and experimentation across email, SMS, and push.
• Engineering Horizontals - Identity, Experimentation & Data Platform: Own the foundational platforms that power customer trust, product innovation, and regulatory compliance, including authentication, consent management, data privacy APIs, and experimentation infrastructure, as well as the strategic shift in how Carvana consumes and governs data through enterprise adoption of Sigma, migration of legacy SQL Server assets to Snowflake, and ownership of the unit economics of the data platform.
• New Car Platform: Own product strategy and execution for high-priority special projects across Carvana's New Car organization, spanning new entrants, franchise manufacturers, and direct-to-consumer offerings with broad cross-functional visibility.

What you’ll be doing

While responsibilities vary by team, all roles share a common set of expectations:

• Drive the product roadmap and lead end-to-end product development informed by customer research, analytics, and business needs.
• Partner cross-functionally with Engineering, Design, Data Science, Analytics, and business stakeholders to scope, prioritize, and ship high-impact initiatives.
• Own experimentation and measurement, actively interpreting results and translating insights into continuous product improvements.
• Apply AI tools as a core part of how you work, accelerating research, synthesis, prototyping, and day-to-day execution.
• Write clear requirements, project briefs, and documentation to align stakeholders and enable effective engineering execution.
• Use data to size opportunities, evaluate tradeoffs, and make decisions.
• Take full ownership of your product area and be accountable for the long-term trajectory of key business outcomes such as sales, gross profit, customer satisfaction, and cost per unit sold.

What you should have/know

• A bachelor's degree in STEM, Economics, Finance, Business, Design, or equivalent experience.
• Two or more years of product, product analytics, or related experience for mid-level consideration; four or more years for senior-level consideration.
• Outcome-oriented and data-driven decision making, backed by expertise in metrics, analytics, and tools such as SQL, Tableau, Looker, or Sigma.
• An AI-first approach to product work, with hands-on experience using AI tools for research, analysis, prototyping, and day-to-day productivity.
• Excellent written and verbal communication, organizational, and project management skills with strong attention to detail.
• Ability to learn and absorb technical concepts and communicate them effectively to non-technical audiences.
• Deep product experience at one or more highly successful and ideally high-growth companies.
• Strong opinions about consumer products and a developed sense of product taste.
• Experience with experiment design and interpretation.
• A willingness to roll up your sleeves and do whatever it takes for the sake of the team and our customers.
• Self-motivated with a sense of humor and the ability to thrive in a fast-paced, ambitious environment.

It would be great if you also have

• A genuine passion for AI and its potential to transform product experiences, not just familiarity with the tools but a curiosity about where the technology is headed and how to apply it creatively.
• Hands-on experience building or iterating on AI-driven products, including features powered by machine learning, LLMs, RAG, tool-calling, or agent frameworks.
• Knowledge of data science best practices and the ability to collaborate closely with data scientists and ML engineers to shape model-informed product decisions.
• Strong UX instincts and the ability to anticipate user needs and pain points, especially in AI-assisted or conversational experiences.
• Experience with agile methodology and product strategy and roadmapping.
• Familiarity with Snowflake, Sigma, Looker, or Tableau for independent data exploration.
• Background in automotive, e-commerce, marketplaces, retail, or similarly complex operating environments.

What we’ll offer in return

• Full-Time position with a competitive salary and Carvana stock compensation.
• Medical, Dental, and Vision benefits.
• 401K with company match.
• A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more.
• A great wellness program to keep you healthy and happy both physically and mentally.
• Access to opportunities to expand your skill set and share your knowledge with others across the organization.
• A company culture focused on high performance and bar-raising, with vast opportunity to learn and grow.

Other requirements

To be able to do your job at Carvana, there are some basic requirements we want to share with you.

• Must be able to read, write, speak and understand English.

Of course, we’ll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs. 

Legal stuff

Hiring is contingent on passing a complete background check. This role is eligible for visa sponsorship.

Carvana is an equal employment opportunity employer.  All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law.  Carvana also prohibits harassment of applicants or employees based on any of these protected categories.

Please note this job description is not designed to 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.

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

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

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

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

About the Role and You

Lead end-to-end delivery of modern data platforms for our clients—owning scope, schedule, budget, and outcomes. You’ll run agile delivery teams, guide medallion/lakehouse architectures, and partner with clients to translate business goals into scalable solutions on Snowflake, Azure & Databricks.

What You'll Do

• Own program delivery: Drive planning, execution, risk/issue management, RAID logs, dependencies, and executive status reporting across multi-workstream data initiatives.
• Lead agile teams: Stand up and mature Scrum/Kanban ceremonies, backlog hygiene, velocity forecasting, and release management across data engineering, analytics, and platform ops.
• Architectural stewardship: Ensure adherence to medallion (bronze/silver/gold) patterns, data contracts, CI/CD for data, and governance/quality controls (DQ rules, lineage, observability).
• Cloud & platform delivery: Orchestrate environments, security, and cost controls for Snowflake and Azure (ADF/Fabric, Databricks, Synapse, Key Vault, Purview).
• Client leadership: Serve as the day-to-day executive contact; run steering committees, manage change requests, and drive stakeholder alignment and adoption.
• Commercials & quality: Own SOW scope, staffing, and margin; forecast and track budgets; enforce delivery standards and acceptance criteria tied to business KPIs.
• Enablement: Coach PMs and tech leads; codify playbooks/templates for repeatable delivery; contribute to proposals and pre-sales as needed.
• Travel to client sites as needed

What You’ll Bring

• 5+ years of technology delivery leading data platform or analytics programs in consulting/professional services.
• Proven success managing $1M–$5M+ multi-workstream programs with distributed teams.
• Hands-on familiarity with Snowflake (warehouses, RBAC, performance/cost tuning) and Azure data services (ADF/Fabric, Databricks, Synapse, ADLS, networking & security).
• Strong command of agile delivery (Scrum/Kanban), Jira/Azure DevOps, release planning, and CI/CD for data (Git-based workflows, environments).
• Practical experience implementing medallion architectures and lakehouse patterns, data modeling, and data quality/observability.
• Stakeholder management at VP/C-suite level; crisp written/oral communication and executive reporting.
• Nice to have: regulated industries, FinOps for data platforms, data privacy/compliance (GDPR/CCPA), and analytics enablement (Power BI/Fabric).

Preferred requirements

• BS/MS in CS, IS, Engineering, or equivalent experience.
• PMP, PMI-ACP, or SAFe; Snowflake SnowPro; Microsoft Azure (DP-203, AZ-305) a plus.

What Success Looks Like

• Programs delivered on-time/on-budget with measurable business outcomes (e.g., SLA improvements, cost per query reductions, faster time-to-insight).
• Stable, secure, and cost-efficient Snowflake/Azure platforms with clear operating models and playbooks.
• High client satisfaction (CSAT/NPS) and referenceable accounts.

The annual salary for this role ranges from: $112,500 to $200,000 USD + benefits + bonus. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

We’re rebuilding our data foundation from the ground up - and we’re looking for a Senior Analytics Engineer who thrives at the intersection of data infrastructure, business context, and cross-functional collaboration. If you're excited by the idea of owning foundational systems that will power pricing, personalization, experimentation, and more—this role is for you. 

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA

About the Team:

As a Senior Analytics Engineer at StubHub, you’ll be a force multiplier for the entire company. You’ll build scalable data products and frameworks that empower analysts, data scientists, and business leaders to make better, faster decisions. You'll bring order to chaos, anticipate data needs before they arise, and partner with stakeholders across engineering, product, and business teams to help us unlock the full value of our data. 

What You'll Do:

• Own the development of cross-functional data models, core business metrics, and self-service dashboards/tools. 
• Build, document, and maintain robust data pipelines using tools like dbt, Airflow, Snowflake, BigQuery, or Databricks. 
• Anticipate and solve common data access patterns across product, marketing, finance, and operations teams. 
• Partner closely with data scientists, analysts, and software engineers—often serving as the bridge between product needs and data infrastructure. 
• Define and scale analytical frameworks that support experimentation, decision-making, and business health monitoring. 
• Act as a domain expert in one or more business areas (e.g., pricing, supply, demand, user growth), becoming a go-to thought partner for leadership. 
• Support real-time and batch data workflows, data governance practices, and metadata/catalog tooling. 

What You've Done:

• 5 - 10 years of experience in analytics engineering, data engineering, or business intelligence in a fast-paced, high-growth environment. 
• Expert SQL skills and strong proficiency in Python (or another programming language like Java). 
• Hands-on experience building data pipelines and models with tools like dbt, Airflow, and Snowflake (or equivalent). 
• Experience with BI tools such as Looker, Tableau, or Mode, and a strong understanding of enabling self-serve analytics. 
• Familiarity with both batch and streaming data processing patterns. 
• An ability to translate messy, real-world business problems into elegant, scalable data systems. 
• A collaborative mindset with a passion for partnering with non-technical stakeholders to unlock insights and drive impact. 
• Familiarity with data governance, observability, and metadata management tools is a plus. 

What We Offer:

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

We’re rebuilding our data foundation from the ground up - and we’re looking for a Senior Analytics Engineer who thrives at the intersection of data infrastructure, business context, and cross-functional collaboration. If you're excited by the idea of owning foundational systems that will power pricing, personalization, experimentation, and more—this role is for you. 

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA

About the Team:

As a Senior Analytics Engineer at StubHub, you’ll be a force multiplier for the entire company. You’ll build scalable data products and frameworks that empower analysts, data scientists, and business leaders to make better, faster decisions. You'll bring order to chaos, anticipate data needs before they arise, and partner with stakeholders across engineering, product, and business teams to help us unlock the full value of our data. 

What You'll Do:

• Own the development of cross-functional data models, core business metrics, and self-service dashboards/tools. 
• Build, document, and maintain robust data pipelines using tools like dbt, Airflow, Snowflake, BigQuery, or Databricks. 
• Anticipate and solve common data access patterns across product, marketing, finance, and operations teams. 
• Partner closely with data scientists, analysts, and software engineers—often serving as the bridge between product needs and data infrastructure. 
• Define and scale analytical frameworks that support experimentation, decision-making, and business health monitoring. 
• Act as a domain expert in one or more business areas (e.g., pricing, supply, demand, user growth), becoming a go-to thought partner for leadership. 
• Support real-time and batch data workflows, data governance practices, and metadata/catalog tooling. 

What You've Done:

• 5 - 10 years of experience in analytics engineering, data engineering, or business intelligence in a fast-paced, high-growth environment. 
• Expert SQL skills and strong proficiency in Python (or another programming language like Java). 
• Hands-on experience building data pipelines and models with tools like dbt, Airflow, and Snowflake (or equivalent). 
• Experience with BI tools such as Looker, Tableau, or Mode, and a strong understanding of enabling self-serve analytics. 
• Familiarity with both batch and streaming data processing patterns. 
• An ability to translate messy, real-world business problems into elegant, scalable data systems. 
• A collaborative mindset with a passion for partnering with non-technical stakeholders to unlock insights and drive impact. 
• Familiarity with data governance, observability, and metadata management tools is a plus. 

What We Offer:

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

Your Impact

You will lead revenue accounting operations and serve as a strategic partner to FP&A, Commercial Controllership, IT, Professional Services, and Sales. You will ensure accurate and compliant revenue recognition under ASC 606 while strengthening processes, controls, and scalability across a complex, multi-element revenue environment.
This role requires deep revenue accounting expertise in a fast-paced, public company setting.

This role would require relocation to Boston. This role follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Reports to: Director, Revenue Accounting

What You’ll Do

• Lead day-to-day revenue accounting, including key revenue streams, journal entries, reconciliations, and disclosures.
• Ensure accurate revenue recognition and related accounts in compliance with ASC 606.
• Review and document technical accounting conclusions for complex contracts and multi-element arrangements (hardware, SaaS, professional services).
• Partner cross-functionally to evaluate contracts, resolve revenue issues, and optimize order-to-cash processes.
• Oversee monthly and quarterly close activities, analytics, and revenue reporting.
• Maintain and strengthen internal controls and support internal and external audits, including SOX compliance.
• Drive process improvements, automation, and system enhancements to improve efficiency and scalability.
• Coach and develop team members while fostering a high-performance culture.

What You Bring

• Bachelor’s degree in Accounting or Finance required; CPA preferred.
• 7+ years of progressive revenue accounting experience, including required ASC 606 experience in a publicly traded company environment.
• Strong technical expertise in complex revenue arrangements across hardware, SaaS, and professional services.
• Experience operating in a SOX-compliant environment and supporting audits.
• Demonstrated cross-functional partnership with Sales, FP&A, IT, and Operations.
• ERP experience required (D365 or comparable system); advanced Excel skills.
• Experience with automation and data tools (e.g., Sigma, Snowflake, Power BI, Salesforce, RevStream) strongly preferred.
• Finance or FP&A experience a plus.
• Strong analytical and communication skills, with the ability to translate complex accounting matters clearly.
• Proactive, solutions-oriented mindset with a focus on process improvement and scalability.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Position Summary 

As Associate Director, Data Management & Visualization, you will be pivotal in managing the E2E data and visualization process including collection, aggregation, QA, processing and visualization for a major client while also serving as a consultant to all Omnicom Media stakeholders. In addition to managing the day-to-day data and visualization needs of internal and external clients, this role will be managing a high functioning team of managers and/or analysts/sr. analysts. 

Key Responsibilities 

New Business Setup: 

• Work closely with leadership to lead setup from scratch for new accounts/businesses, including systems, processes, and data flow design. Assume full accountability for delivery, quality, and client satisfaction. 

Data Migrations: 

• Manage and execute large-scale data migration projects and comparable complex assignments. 

Consistent Processes: 

• Incorporate consistent processes and best practices across Mediabrands clients. 

Campaign Naming Conventions: 

• Define and ensure adoption of consistent campaign naming structures across platforms and reporting environments. 

Data Integration: 

• Prepare and integrate outside datasets, including first-party and non-standard digital inputs, into analytics workflows. 

Data Quality & Anomaly Detection: 

• Implement QA processes and anomaly detection to safeguard data integrity across all deliverables. 

Leadership Skills and Stakeholder Management:  

• Engage with senior clients, internal leaders, and cross-functional teams to drive adoption of data solutions. 
• Ensure quality work output from onshore/offshore teams 

Media Platform Knowledge: 

• Campaign Management: CM360, DSPs. 
• Social: Meta, Snapchat, TikTok, Pinterest, LinkedIn, X. 
• Search: SA360, Bing, Google Ads. 

 Required Skills 

Technical Skills: 

• Good understanding of end-to-end data flow, APIs, databases, and BI tools. 
• Visualization and dashboard creation experience; Tableau preferred. 
• Strong BI tool skills (Alteryx, Power BI, KNIME, etc.); Tableau Prep preferred. 
• Database experience (Snowflake preferred). 
• Understanding of taxonomy creation and execution 

Media Platform Knowledge: 

• Campaign Management: CM360, DSPs. 
• Social: Meta, Snapchat, TikTok, Pinterest, LinkedIn, X. 
• Search: SA360, Bing, Google Ads. 

Leadership Skills: 

• Proven experience in management of multiple team members 
• Ability to provide feedback & guidance in a constructive manner to direct reports 
• Demonstrate collaboration, including ability to drive clarity in a multi-stakeholder environment 

Desired Skills & Experience 

• 4+ years of experience in agency or client-side digital media planning or media analytics 
• Presentation development and delivery 
• Strong written and verbal communication 
• Ability to engage, develop, and give feedback to drive success of colleagues not reporting to you directly 

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. 

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.

Position Summary

We are looking for a manager to join our Data and Technology team with the Client Growth Analytics group.  A successful candidate should be a product-minded, hands-on individual with a strong understanding of technical buildouts, strong leadership skills, entrepreneurial spirit and interest in media and marketing.

You will be critical in helping establish a suite of automation tools & products for a large pharmaceutical client. Curiosity and passion for automation, data management, digital data and new technologies, is a must!

Primary day to day tasks will include working with teams across Initiative to gather requirements and information on workstreams which can be streamlined, developing complex buildout blueprints, leading coding & technical work and communicating with key stakeholders.

A successful candidate will have a wide variety of skills in media, technology, data, and cross team management.

Key Responsibilities:

Essential Functions:

• Collaborate with other company teams to identify existing procedures and identify areas for automation / improvement.
• Engage proactively with key stakeholders and end users to collaboratively define, assess, and prioritize business needs across the organization.
• Responsible for designing major programming & buildout blueprints and executing development work on said requirements.
• Translate high-level requirements into detailed user stories and use cases that design, and development teams can easily implement.
• Contribute to certain strategic planning activities and operational improvement initiatives.
• Assist in developing marketing and training materials, and be the subject matter expert to provide demos, education, and training to drive adoption of the product.
• Assist the management and mentoring of a team, ranging from entry level staff to managers.

Required Skills & Experience:

• 3+ years of automation development work
• Intermediate or better SQL skills
• Expert in Excel from basics (pivoting, VLOOKUP’s, data manipulations, etc.) to advanced skills (macro creation, custom programming, developing plugins, etc.) is a must.
• 2 years of Programming in Python or C++
• Excellent organizational skills: capacity to manage multiple priorities and tasks simultaneously and communicate with all levels of management.

Desired Skills & Experience:

• Experience with advertising technologies or operations (media planning, buying, reporting) is a plus.
• Experience working with data from digital channels (DCM, Meta, AdWords, Bing, etc.) is a plus.
• Previous management experience is a plus.
• Experience working with databases, SQL, tableau and other tools are a necessity, specifically Snowflake.
• Advanced Programming Experience in Python and/or C++, with a strong understanding of object-oriented programming
• Excellent written and oral communication skills including presentation experience to large and diverse audiences.
• Exceptionally self-motivated and directed.
• Experience advocating and driving product adoption and usage.
• Superior analytical, evaluative, and problem-solving abilities.

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.

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, please email accommodation@mbww.com.

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 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

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.

Job Summary: 

We are seeking a highly analytical, systems-oriented, and seasoned Senior Digital Analyst to lead the reporting integrity and performance visibility for the Ruggable site. Reporting to the Director of Reporting, Analytics & Insights, you will serve as primary authority on site data, ensuring our data architecture, from reporting to user journey analyses, is accurate, actionable and scalable.

The Senior Digital Analyst translates raw data into commercial action for the site. You are a power user of analytics platforms such as GA4 and Heap, with the technical agility to translate raw events data into user journeys and partner with Data Engineering to build reporting for insights. Beyond reporting, you are a strategic partner in site experimentation and personalization, with experience in platforms such as Ninetailed, Optimizely and Constructor, and providing clear performance/statistical results as well as scalable recommendations.

What You’ll Do: 

Core eCommerce & Site Performance

• Site Real Estate: Analyze and report on the performance of PLPs, PDPs, and core content pages to ensure optimal user flow and product discovery
• Device & Funnel Analysis: Monitor and diagnose variances in the conversion funnel across Mobile vs. Desktop, identifying UX opportunities or technical friction unique to each device
• Traffic Attribution: Analyze collection launch and site performance by traffic channel, ensuring a clear understanding of how different segments interact with site features
• Commercial Metrics: Own the reporting for Discount vs. Non-Discount sales, Promo vs. Non-Promo lift, and the performance of New vs. Repeat customers over time

Revenue Forecasting & Strategic Tracking

• Dynamic Forecasting: Support the continuous forecasting and re-forecasting of site KPIs, breaking down targets by traffic channel and customer segment (New vs. Repeat)
• Performance Accountability: Track real-time performance against forecasts and historical benchmarks, providing proactive "flash reports" on AOV, conversion, and RPV when the business is over/under-indexing
• Market Context: Partner with external vendors to track market share and competitor activity, translating external market shifts into context for our internal performance

Customer Insights & Cross-Functional Strategy 

• 1st & 3rd Party Data Integration: Lead the exploration of customer data by stitching together 1st-party data (geo, cohort, products purchased) with 3rd-party datasets to build a 360-degree view of the Ruggable shopper
• Consumer Snapshots: Own the end-to-end refresh of the Quarterly Consumer Snapshot deck, providing the definitive narrative on customer demographics and shifting purchase behaviors
• The Cross-Functional Bridge: Serve as the primary analytical liaison for the Commercial team, ensuring customer insights are not just "reported," but are consistently applied to product launches, marketing creative, and site strategy

Testing & Personalization (CRO)

• Experimentation: Lead the analysis for A/B testing and personalization initiatives using Optimizely and Ninetailed, ensuring statistical significance and internal validation of all test outcomes and incremental lift
• Actionable Readouts: Translate complex test results into clear, "so-what" narratives that provide the Digital team with scalable recommendations for optimization

Analytical Operations & Strategic Governance

• BI Engineering (Sigma): Lead the buildout and validation of automated eCommerce dashboards in Sigma, translating complex business logic into intuitive, self-service reporting for stakeholders
• Data Stewardship & Integrity: Partner with Data Engineering to optimize Snowflake tables and implement rigorous validation/alerting systems, ensuring our data infrastructure remains the "absolute source of truth"
• Performance Storytelling: Own the end-to-end delivery of weekly and monthly business reviews, providing context-rich narratives that diagnose the impact of site merchandising and product launches
• Technical Liaison: Bridge the gap between Tech and Digital leadership by translating commercial needs into technical specifications (e.g., event tracking requirements)
• Advanced Ad-Hoc Synthesis: Rapidly respond to high-stakes requests from leadership by "stitching" together data from disparate sources—Shopify, Heap, Optimizely, Ninetailed, and Constructor—to provide decision-ready insights

What You’ll Need to Have:

Required: 

• Experience: 4–5 years of professional experience with a proven track record in Ecom and Revenue analytics (ideally in a high-growth DTC environment)
• Communication & Synthesis: A strong, persuasive communicator with the ability to distill complex, multi-variate analyses into simple, digestible, and actionable insights for non-technical stakeholders
• Platform Mastery: Deep, hands-on experience in GA4, Heap, and Shopify; must be a power user of Excel for advanced modeling and data stitching
• Technical Agility: Advanced SQL skills and a proven ability to quickly learn and master new platform UIs, or BI tools (Sigma)
• BI Expertise: Direct experience with Sigma and/or Looker (LookML). Experience navigating BI migrations is a major plus
• Metric Fluency: Expert-level understanding of the e-commerce funnel, customer behavior metrics, and the interplay between promotional elasticity and site performance
• Collaborative Bridge: Proven experience acting as a technical liaison between Data Engineering/Tech teams and Ecom stakeholders to drive high-impact projects
• Growth Mindset: A self-starter who thrives in a fast-paced, high-ownership environment and is excited by the prospect of building scalable processes from the ground up

Preferred: 

• Data Engineering Exposure: Experience working within Snowflake or AWS environments and a solid understanding of data warehousing and governance
• Coding Exposure: Experience with R or Python for data manipulation
• Engineering Workflow: Familiarity with version control (e.g., GitHub) and working within an agile framework alongside Data Engineering teams

Compensation:

• $120,000 - $140,000 per year base salary
• An annual bonus percentage that varies based on level of role
• Employer matching (up to 3% of base salary) for company sponsored 401K plan

Job Summary: 

We are seeking a highly analytical, systems-oriented, and seasoned Lifecycle & Performance Senior Analyst to lead the reporting integrity and performance visibility for Ruggable’s growth and retention engines. Reporting to the Director of Reporting, Analytics & Insights, you will serve as primary authority on marketing data, ensuring our data architecture—from reporting and UTM management to segmentation using an RFM model—is accurate, actionable, and standardized across all global storefronts.

The Lifecycle & Performance Analyst is the connective tissue between raw data and marketing execution. You are a power user of marketing platforms such as Klaviyo, PostScript, Meta, and Google, with the technical agility to build the reporting frameworks that allow us to mimic and scale US-based insights across our international storefronts.

Beyond reporting, you are a strategic partner in real-time decision-making. You provide the data-backed conviction required for high-impact pivots—whether that means optimizing intraday paid spend, shifting budget between channels, or deploying rapid-response retention tactics during high-stakes promotional windows. You ensure that every investment shift, from acquisition to lifecycle, is driven by clear performance signals and a deep understanding of incremental value.

What You’ll Do: 

Retention, Lifecycle, & Reporting Infrastructure 

• Creative Performance: Produce creative-asset-level reporting by systematically pulling all deployed Email, SMS, and Direct Mail assets and pairing each with its associated engagement, revenue, and efficiency metrics for executive-ready weekly business readouts
• Revenue Forecasting: Build and maintain daily and weekly lifecycle revenue forecasts grounded in historical performance curves, leveraging cohort-based analysis to project final revenue outcomes from early and incomplete data
• Channel Preference: Analyze customer engagement across Email and SMS to determine channel preference and optimal send strategies, informing decisions around single-channel versus multi-channel lifecycle execution
• A/B Testing: Lead A/B test analysis across lifecycle channels, ensuring statistical significance, validating test outcomes, and translating results into clear, actionable recommendations for optimization and scale
• LTV Modeling: Own lifetime value and lifetime revenue modeling across lifecycle programs, leveraging cohort analysis to evaluate performance by acquisition channel, first product purchased, and repeat purchase behavior over time
• Discount Analysis: Track and analyze discount usage across lifecycle channels, reporting on where and when promotions are applied and quantifying overall discount rate by channel and customer segment
• Subscriber Value: Monitor and report on average value per subscriber and revenue per subscriber for Email and SMS programs, surfacing trends that inform list growth strategy and lifecycle investment decisions

Performance Insights & Growth Analytics 

• Investment Agility: Support real-time decisions around spend pivots, identifying when to shift investment up or down based on intraday performance, MER, and ROAS targets
• Tracking & Attribution Governance: Take a lead role in UTM parameter management. You will establish and enforce a standardized UTM taxonomy across all channels to prevent data fragmentation and ensure flawless attribution

Analytical Operations & Team Support

• Global BI Infrastructure: Lead the functional transition from Looker to Sigma, building high-performance automated Retention and Paid dashboards that aggregate data from all storefronts into a unified, self-service "source of truth."
• Data Stewardship: Partner with Data Engineering to optimize marketing data tables, ensuring that international data sets are clean, validated, and aligned with US reporting logic
• Operational Reporting & Performance: Own the end-to-end delivery of weekly and monthly business reports, providing context-rich narratives and "so-what" insights that diagnose the impact of promotions, spend pivots, and A/B tests
• Ad Hoc Analysis: Respond to time-sensitive analytical requests from Marketing and Executive leadership, rapidly synthesizing cross-channel data into clear, decision-ready insights while maintaining alignment with established reporting frameworks and metric definitions
• The Cross-Functional Bridge: Serve as the primary analytical liaison between channel owners, Tech, and Digital leadership; translating marketing requirements into technical specifications to ensure our data infrastructure evolves with the business strategy

What You’ll Need to Have:

Required: 

• Experience: 4–5 years of professional experience with a proven track record across both Retention and Growth analytics (ideally in a high-growth DTC environment)
• Platform Mastery: Deep, hands-on experience in Klaviyo (or a similar email platform), Postscript (or a similar SMS platform), Shopify as well as Google Ads and Meta Ads Manager, specifically in how they ingest and report data
• Technical Agility: Advanced SQL skills and a proven ability to learn new platform UIs or API documentation quickly to support emerging channels
• BI Expertise: Direct experience with Looker (LookML) and / or Sigma. Experience with BI migrations is a major plus
• Metric Fluency: Expert-level understanding of the relationship between LTV, ROAS, MER, CPA, CPC, and CTR
• Operational Tooling: Functional experience with Feedonomics, Klaviyo / Postscript, GA4, Heap
• Collaborative Mindset: Experience acting as a bridge between technical teams and marketing stakeholders to drive cross-functional projects

Preferred: 

• Data Engineering Exposure: Experience working within Snowflake or AWS environments and a strong understanding of data warehousing principles
• Engineering Workflow: Familiarity with version control software (e.g., GitHub) and working alongside Data Engineering teams to build/maintain clean tables
• Growth Mindset: A self-starter who is excited by the prospect of building from the ground up and thrives in the fast-paced, high-ownership environment of a startup

Compensation:

• $115,000 - $140,000 per year base salary
• An annual bonus percentage that varies based on level of role
• Employer matching (up to 3% of base salary) for company sponsored 401K plan
• Location: Remote (Option to be hybrid if you're based in LA)

Who We Are

EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression — across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results — with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO’s TV intelligence to know what works.

EDO is headquartered in New York City and Los Angeles with an office space in San Francisco. We recognize the benefits of hybrid working, and want to create the best balance to ensure we can continue working together effectively. For those who reside full-time in NYC, SF, LA: we have a hybrid work policy of three days in the office and two remote work days. 

To learn more about the work we do at EDO, please visit EDO Press.

The Role

EDO is hiring a Solution Engineer to operate as a high-impact, hybrid problem solver across data engineering, analytics, and product. You will be the "technical fixer" responsible for solving urgent data issues, delivering rapid analysis, and building scalable solutions. If you enjoy jumping between debugging pipelines, analyzing data, and building quick prototypes — this role is for you.

What You Will Do

• Own urgent data and pipeline issues end-to-end.
• Identify root causes and prevent recurring issues.
• Debug data pipelines and model outputs.
• Deliver fast, high-quality analysis for business and product needs.
• Build POCs and data tools that scale over time.
• Work across highly technical teams. (Engineering, Product, Analytical, TAM, Ops)

What We Are Looking For 

• 3-6 years in data engineering, operations engineering or similar roles.
• Strong preference for candidates with data engineering foundations.
• Experience in fast-paced, high-ambiguity environments.
• Strong proficiency in Python and SQL.
• Ability to ramp quickly in existing codebases. Experience with Airflow, dbt, Snowflake, or AWS is preferred.
• Experience in system support, incident response, or high-responsiveness technical environments.
• A track record of taking full accountability for projects and seeing them through to completion.
• Proven ability to solve problems in unclear, fast-paced situations.

Compensation and Benefits

EDO offers a competitive compensation package. Components of compensation include:

• Mid-stage equity and competitive salary
• Flexible Time Off
• Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
• 401(k) plan, FSA, HSA
• Commuter Benefits
• When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $110,000 to $160,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.

EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

Who We Are

EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression — across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results — with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO’s TV intelligence to know what works.

EDO is headquartered in New York City and Los Angeles with an office space in San Francisco.

We recognize the benefits of hybrid working, and want to create the best balance to ensure we can continue working together effectively.  For those who reside full-time in NYC, SF, or LA: we have a hybrid work policy of three days in the office and two remote work days.

To learn more about the work we do at EDO, please visit EDO Press.

The Role

As a Senior Product Engineer at EDO, you will write software that presents our world-class data to our clients.  You will use your full-stack skills to develop clear, intuitive, and actionable reports.  You will join an optimistic and creative team of problem-solvers.  You will partner with our Media Analytics and Data Science teams to present our clients with the insights they need to make informed and effective advertising decisions.

What You Will Do

• Collaborate with our product teams to implement data exploration and visualization features in our client application.
• Scale our application, associated APIs, and backend processes related to our automated reporting tools.
• Work with our backend teams to integrate performance enhancements and new data into our platform.
• Work on a small team and take ownership of high-impact projects.
• Work in a fast-paced environment with continuous deployment and rapid product iteration..
• Help define the future of media and advertising through the innovative use of data and technology.
• Have direct impact on product growth at a nimble Series B-stage company.

What We Are Looking For

• BS / MS in Computer Science or a related technical field.
• 5+ years of experience in product-focused full-stack software engineering, with a track record of delivering end-to-end features at scale.
• A high-agency self-starter who thrives in high-ambiguity environments. You have a proven ability to navigate the shifting priorities of a fast-growing startup without losing momentum.
• Versatility, i.e., the ability and willingness to wear multiple hats and switch gears frequently.
• Ability to build products quickly and efficiently.
• Deep understanding of software engineering fundamentals.
• We believe that strong engineers can learn any stack, but we currently use:
• Front-end: React, Typescript, CSS
• Backend: Ruby on Rails
• Database: MySQL, Snowflake
• Infrastructure: AWS

Compensation and Benefits

EDO offers a competitive compensation package. Components of compensation include:

• Mid-stage equity and competitive salary
• Flexible Time Off
• Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
• 401(k) plan, FSA, HSA
• Commuter Benefits
• When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $150,000-$180,000 annually plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.

EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

Who We Are

EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression — across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results — with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO’s TV intelligence to know what works. 

EDO is headquartered in New York City and Los Angeles with an office space in San Francisco. We recognize the benefits of hybrid working, and want to create the best balance to ensure we can continue working together effectively. For those who reside full-time in NYC, SF, or LA: we have a hybrid work policy of three days in the office and two remote work days. 

To learn more about the work we do at EDO, please visit EDO Press. 

The Role

As a Principal Product Manager, Data Products at EDO, you will own the strategy, development, and evolution of EDO’s core data products — the foundational datasets, metrics, and data models that power our analytics, measurement, and client-facing applications.

You will sit at the center of Product, Data Science, and Engineering, ensuring that EDO’s data is reliable, scalable, and usable across the organization. You will define how raw data is transformed into structured, governed, and reusable data assets that enable both internal teams and client-facing products.

This role sits at the intersection of Media Analytics, Data Science, and Engineering, with broad influence across teams. You will lead through both direct ownership and cross-functional alignment, setting standards, driving consistency, and ensuring that EDO’s platform delivers consistent, high-quality data that can scale across use cases, clients, and products.

What You Will Do

Data Product Strategy & Ownership

• Define and own the roadmap for EDO’s core data products, including datasets, data models, and metric layers.
• Establish a clear strategy for how data is structured, standardized, and reused across the platform.
• Partner with Engineering and Data Science to prioritize and deliver scalable data capabilities.

Data Modeling, Metrics & Semantic Layer Leadership

• Own the definition and evolution of core metrics, dimensions, and semantic layers.
• Ensure consistency of definitions across analytics, measurement, modeling, and client-facing products.
• Lead the development of scalable, extensible data models that support a wide range of use cases.

Data Quality, Reliability & Observability

• Establish and enforce standards for data quality, validation, and monitoring across all data products.
• Partner with Engineering to define SLAs/SLOs for data reliability and pipeline performance.
• Drive improvements in data observability, lineage, and debugging capabilities.
• Ensure trust and auditability of EDO’s data for both internal and external stakeholders.

Platform Enablement & Self-Service

• Define the strategy for enabling self-service data access across Product, Data Science, Client Analytics, and Operations.
• Build data products that reduce friction and accelerate time-to-insight.
• Drive adoption of standardized data assets and reduce reliance on bespoke or duplicated solutions.
• Enable downstream product teams to build faster on top of well-defined data foundations.

Cross-Functional Leadership

• Act as the connective tissue across Product, Data Science, Engineering, and Client Analytics.
• Lead complex, cross-team initiatives that span multiple systems and domains.
• Influence without authority, aligning teams on shared goals, standards, and tradeoffs.
• Mentor and elevate other product managers working on data and platform initiatives.

Governance & Standardization

• Establish and scale governance frameworks for:
• Metric definitions and naming conventions
• Data access, permissions, and privacy
• Data product lifecycle, ownership, and versioning
• Drive standardization across teams to reduce fragmentation, duplication, and inconsistency.
• Balance governance with velocity, enabling teams to move quickly while maintaining quality.

What We Are Looking For

• 8-12 years of product management experience, with significant focus on data platforms, data products, or analytics systems.
• Proven track record of defining and scaling platform-level or company-wide data systems.
• Deep understanding of: Data modeling and warehousing (e.g., Snowflake), Data pipelines and ETL/ELT architectures, metrics, semantic layers, and analytics frameworks
• Strong technical fluency with the ability to engage deeply with engineers and data scientists on system design and tradeoffs.
• Experience driving cross-functional alignment in complex, ambiguous environments.
• Demonstrated ability to influence senior stakeholders and drive strategic decisions.
• Experience establishing data governance, standards, and best practices at scale.
• Strong product judgment with the ability to balance long-term platform investments and short-term business needs.
• Excellent communication skills, with the ability to translate between technical and business audiences.

Compensation and Benefits

EDO offers a competitive compensation package. Components of compensation include:

• Mid-stage equity and competitive salary
• Flexible Time Off
• Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
• 401(k) plan, FSA, HSA
• Commuter Benefits
• When in an office, employee meals, snacks, and more.

In compliance with New York and California Pay Transparency Law, the salary range for this position is $170,000-$200,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.

EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

CD Baby is a globally recognized leader in the music industry and the first platform to offer artists direct distribution to their fans. As we navigate the next era of music technology, we are committed to modernizing our core systems, fostering an agile culture, and leveraging cutting-edge platforms to better serve our artists, partners, and fans worldwide. 

This hybrid role can be based in our Los Angeles (preferably), Nashville, or New York City office location.

The Role:

As Director of Business Intelligence, you will define and own the strategy and roadmap for making data accessible, trusted, and actionable across CD Baby. You’ll establish the metrics that matter most, drive data normalization across teams, and build the infrastructure that enables self-service insights at scale. You will partner closely with Product, Marketing, Finance, Data Engineering and stakeholders across the company to prioritize the highest-impact KPIs, ensure consistent definitions across the organization, and embed data into how decisions get made. This role is both strategic and hands-on: you’ll architect the BI function while also building dashboards, leading analyses, and translating complex data into clear business recommendations.

What you'll be doing:

Define the BI Strategy & Roadmap
• Establish a company-wide BI vision and multi-quarter roadmap.
• Standardize core metrics and KPIs across business, product and technology teams
• Prioritize the highest-impact insights that drive growth, retention, and artist success
• Build scalable reporting layers and self-service infrastructure that reduce ad hoc dependency
• Evaluate and deploy AI-enabled analytics tools that scale insight generation and reduce dependency on manual reporting

Drive Customer & Product Insights
• Lead segmentation, cohort analysis, lifetime value modeling, and churn analysis.
• Identify growth opportunities, at-risk artists, and high-value segments.
• Define and measure success metrics for new product and feature launches.
• Support experimentation and A/B testing with rigorous statistical analysis

Build Data Analytics Infrastructure
• Partner with Data Engineering to continuously improve data quality, modeling, and governance
• Ensure reliable, well-documented reporting pipelines in cloud data warehouses (e.g., Snowflake)
• Translate complex datasets into clear, executive-ready narratives
• Implement natural language and AI-assisted query tools that allow non-technical stakeholders to explore data and answer questions independently

Must-Haves / Requirements:

• 7+ years of experience in data analytics, customer insights, business intelligence, or a related field
• Advanced SQL; experience with modern BI tools and cloud warehouses
• Hands-on experience building dashboards and reports in enterprise BI tools
• Strong foundation in customer analytics (segmentation, LTV, churn, experimentation)
• Familiarity with SaaS or platform metrics (ARR, CAC, LTV, retention) preferred
• Ability to influence cross-functional stakeholders and communicate clearly at all levels

CAREER DEVELOPMENT / EQUAL EMPLOYMENT OPPORTUNITY

In order to provide equal employment and advancement opportunities to all individuals, CD Baby does not discriminate in employment opportunities or practices on the basis of sex, age, race, color, national origin, sexual orientation, religion, marital status, genetic information, veteran status or disability.

COMMITMENT TO DIVERSITY

CD Baby is committed to creating and maintaining a workplace in which all employees have an opportunity to participate and contribute to the success of the business and are valued for their skills, experience, and unique perspectives. This commitment is embodied in company policy and the way we do business and is an important principle of sound business management.

ADA POLICY

It is Company policy not to discriminate against qualified individuals with disabilities in regard to application procedures, hiring, advancement, discharge, compensation, training, or other terms, conditions and privileges of employment.

Any individual who can be reasonably accommodated for a job, without undue hardship, will be given the same consideration for that position as any other applicant. The People Team is responsible for implementing this policy, including resolution of reasonable accommodation, safety and undue hardship issues.

Final Notes

• If you are a recruiter, please do not contact us with candidates for this position unless we have engaged with you to do so.

CD Baby provides base salary ranges for all positions located in the United States at the time of posting. The hiring range for this position is $150,000 - $165,000 annually. As a candidate for this position, your salary and related elements of compensation will be contingent upon various factors including, but not limited to, work experience, geographic location and relevant skills. CD Bay is committed to providing a comprehensive market-competitive total rewards program for its employees which includes medical, dental, and vision, life insurance, 401(k) match and generous paid time off. This range does not include any other variable compensation components.

What You'll Do:

• Build and operate scalable data pipelines with robust QA, monitoring, and alerting 
• Create shared tooling to improve data practitioner (data engineering, analytics engineering, data science) productivity and quality across the company 
• Influence the direction for key infrastructure and framework choices for data pipelining and data management 
• Contribute to core cross-functional data models 
• Launch data platform features that have immediate impact on the velocity of innovation and ultimately growth of the business 
• Manage individual initiatives—Setting priorities, deadlines, and deliverables based on your technical expertise 
• Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity in your team 
• Specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical 

What You've Done:

• 7+ years of relevant development experience—in data platform or data engineering—in fast paced environments 
• Very high SQL proficiency, with experience in both transactional RDBMS systems and distributed systems 
• Strong programming and system design skills 
• Experience designing and developing large-scale, efficient batch and streaming data processing 
• Ability to analyze and reason about large datasets to identify data quality issues and other contextual insights 
• Experience mentoring, delegating to, and reviewing the work of junior team members 
• Passion for great data end-user experience and stewardship 
• Experience with:
  
  • Data pipeline management and orchestration tools, such as Airflow
  • Cloud-based data warehousing solutions, such as Snowflake, BigQuery, and Redshift
  • Batch processing systems, such as Spark 

What We Offer:

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

What You'll Do:

• Build and operate scalable data pipelines with robust QA, monitoring, and alerting 
• Create shared tooling to improve data practitioner (data engineering, analytics engineering, data science) productivity and quality across the company 
• Influence the direction for key infrastructure and framework choices for data pipelining and data management 
• Contribute to core cross-functional data models 
• Launch data platform features that have immediate impact on the velocity of innovation and ultimately growth of the business 
• Manage individual initiatives—Setting priorities, deadlines, and deliverables based on your technical expertise 
• Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity in your team 
• Specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical 

What You've Done:

• 7+ years of relevant development experience—in data platform or data engineering—in fast paced environments 
• Very high SQL proficiency, with experience in both transactional RDBMS systems and distributed systems 
• Strong programming and system design skills 
• Experience designing and developing large-scale, efficient batch and streaming data processing 
• Ability to analyze and reason about large datasets to identify data quality issues and other contextual insights 
• Experience mentoring, delegating to, and reviewing the work of junior team members 
• Passion for great data end-user experience and stewardship 
• Experience with: 
  • Data pipeline management and orchestration tools, such as Airflow
  • Cloud-based data warehousing solutions, such as Snowflake, BigQuery, and Redshift
  • Batch processing systems, such as Spark 

What We Offer:

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

The Role

We’re seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints.

You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions.

You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience.

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA 

What You'll Do

• Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions.
• Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale.
• Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process.
• Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift.
• Tell the story: Communicate trade-offs and impact to execs and non-technical partners; make the complex understandable and actionable.

What You've Done

• 5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred.
• Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost).
• Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement.
• Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL.
• Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact.
• Excellent communication skills, with the ability to clearly articulate modeling assumptions, tradeoffs, and impact to both technical and non-technical audiences.

Nice to have:

• Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety.
• Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring.
• Experience selecting and applying appropriate causal inference approaches to evaluate model and policy impact, including methods such as uplift modeling, synthetic control, and BSTS.

What We Offer

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

The Role

We’re seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints.

You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions.

You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience.

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA 

What You'll Do

• Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions.
• Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale.
• Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process.
• Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift.
• Tell the story: Communicate trade-offs and impact to execs and non-technical partners; make the complex understandable and actionable.

What You've Done

• 5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred.
• Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost).
• Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement.
• Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL.
• Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact.
• Excellent communication skills, with the ability to clearly articulate modeling assumptions, tradeoffs, and impact to both technical and non-technical audiences.

Nice to have:

• Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety.
• Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring.
• Experience selecting and applying appropriate causal inference approaches to evaluate model and policy impact, including methods such as uplift modeling, synthetic control, and BSTS.

What We Offer

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

Position Summary

A Software Engineer with data engineering responsibilities to bridge the gap between core application development and large-scale data infrastructure.  You will help build the data foundational layers for our next-generation features. This role is not just about moving data—it’s about enabling AI models to function in real-time, building robust pipelines for multimedia, and powering engaging user experiences. This team is currently working on cutting-edge features including PPT-to-video converters and interactive, conversational video capabilities.

Core Responsibilities

• Build & Scale Data Pipelines: Design, develop, and maintain robust batch and real-time data pipelines (using Python, Go, Spark, Kafka) that ingest and transform massive multi-modal data—text, audio, and video—to train and run AI models.
• Power Intelligent Features: Collaborate with ML engineers to implement data structures and APIs for new, exciting features like PPT-to-video automation and interactive AI avatars that require low-latency data fetching.
• Data Lakehouse Infrastructure: Architect and manage data lakehouse solutions (e.g., Snowflake, Databricks, Apache Iceberg) to store and query unstructured media data efficiently, enhancing storage and computation efficiency.
• Data Reliability & Observability: Implement data quality checks, data contracts, and monitoring to ensure high reliability of data, preventing downtime in production video generation.
• Productize Data: Transform raw data into structured, actionable data products that can be easily consumed by front-end applications, API endpoints, and AI agents.

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.
• 3-5+ years of experience as a Backend Software Engineer with heavy data processing responsibilities.
• Strong proficiency in Python (for ETL/scripting) and SQL (for data modeling).
• Experience with cloud platforms (AWS/GCP) and data technologies like Kafka, Spark, and Snowflake/Databricks.
• Experience or interest in Computer Vision/Generative AI data processing.
• Proactive, "owner" mindset; ability to operate in a fast-paced, startup environment.

What HeyGen Offers

• Competitive salary and benefits package.
• Dynamic and inclusive work environment focused on innovation and creativity.
• Opportunities for professional growth and skill development.
• Collaborative culture that values teamwork and employee input.
• Access to state-of-the-art technologies and tools.

Salary Range
$180,000 – $220,000 + equity + benefits
Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including equity, a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join us at HeyGen and be part of a team that's reshaping the world of video creation through innovative technology!