WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

Role Overview

Zeta Global is seeking a Lead Software Engineer to build and scale healthcare-focused applications and data systems that power audience intelligence, activation, measurement, and reporting across both HCP and DTC workflows.

This is a hands-on technical leadership role operating at the intersection of distributed systems, data engineering, and healthcare domain constraints. You will design and deliver systems that integrate identity, audience data, and campaign performance while meeting strict requirements for privacy, compliance, and reliability.

The ideal candidate brings strong system design depth, experience building data-intensive platforms, and the ability to lead through architecture and execution in regulated environments.

What You’ll Build

• Full-stack applications supporting HCP and patient (DTC) audience discovery, segmentation, and activation
  • Scalable data pipelines for ingestion, normalization, and enrichment of healthcare datasets
  • Identity resolution and data linkage services across fragmented data sources
  • Reporting, attribution, and measurement systems connecting campaigns to outcomes
  • APIs and services enabling downstream activation, analytics, and partner integrations

Key Responsibilities

• Lead architecture and hands-on development of distributed systems supporting healthcare data workflows
  • Design and implement scalable data pipelines (batch and streaming) for large-scale datasets
  • Build and maintain APIs and services with strong SLAs, observability, and fault tolerance
  • Implement identity resolution logic including matching, deduplication, and graph-based linkage
  • Ensure high data quality through validation, reconciliation, and monitoring frameworks
  • Design systems with strong security controls, including encryption, access control, and auditability
  • Apply privacy-by-design principles across all systems handling PHI/PII
  • Partner with Product and Data teams to translate healthcare requirements into scalable architectures
  • Drive engineering best practices across testing, CI/CD, code quality, and operational excellence
  • Mentor engineers and act as a technical leader across the team

Engineering Expectations

• Strong experience designing distributed systems (microservices, event-driven architectures)
  • Deep understanding of data modeling, storage systems (OLTP, OLAP), and data processing frameworks
  • Experience with streaming and batch processing (e.g., Kafka, Spark, Flink, or similar)
  • Proficiency in backend development (Python, Java, or Ruby) and API design (REST/gRPC)
  • Experience building modern front-end applications (React or similar)
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code
  • Familiarity with containerization and orchestration (Docker, Kubernetes)
  • Experience implementing observability (logging, metrics, tracing) and reliability patterns
  • Strong understanding of performance optimization and scalability tradeoffs

Healthcare & Domain Expectations

• Experience working with HCP data (provider identity, targeting, segmentation)
  • Experience with patient / DTC data workflows and privacy-aware systems
  • Understanding of healthcare data ecosystems (claims, provider, or audience datasets)
  • Familiarity with identity graphs and data onboarding patterns
  • Experience building reporting or attribution systems tied to business outcomes
  • Strong grasp of HIPAA, PHI/PII, and regulated data handling requirements

Qualifications

• 8–10 years of software engineering experience with increasing technical ownership
  • Proven track record of building and scaling data-intensive or distributed systems
  • Experience working in regulated environments (healthcare strongly preferred)
  • Strong system design and architecture skills
  • Ability to lead technically while remaining hands-on in implementation
  • Strong collaboration skills across engineering, product, and data teams

Preferred

• Experience with healthcare data providers or identity ecosystems
  • Background in AdTech, MarTech, or audience/data platforms
  • Experience with privacy-enhancing technologies (tokenization, clean rooms)
  • Exposure to ML/AI-driven data products or analytics systems

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $200,000 - $215,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-TS1

As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.

This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.

What You'll Do:

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
• Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
• Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
• Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
• Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
• Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
• Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or  Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.

What We're Looking For:

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
• Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
• Hands-on experience with:
  • Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
  • Data Transformation: dbt
  • Orchestration & ETL: Airflow, Fivetran, Airbyte
  • Cloud Platform: AWS
  • Programming/Ingestion: Python
  • Infrastructure as Code: Terraform
  • AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
• A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
• Excellent communication skills and experience working cross-functionally.
• Self-starter with the ability to self-project manage work
• A user focus with the ability to understand how a data consumer will use the data products you build

Bonus Points (Nice-to-Haves)

• Experience building semantic models for natural language querying
• Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).
• Experience building visualizations and dashboards in tools like Tableau,  Retool, or Thoughtspot.

We’re seeking a Staff DevOps Engineer to join our Cloud Platform Team — the engineer who sets the technical direction for how Built’s infrastructure is designed, operated, and evolved. This is the most senior individual contributor role on the platform team, and it goes well beyond day-to-day operations. You’ll architect the systems that every engineering team at Built depends on, define the standards that others work within, and drive the platform roadmap with full autonomy. By raising the reliability and velocity of our infrastructure, you directly enable Built’s mission of radically disrupting construction finance.

Our Guiding Principles

• Be Bold. We pursue the biggest problems in our industry, challenge assumptions others take for granted, and take calculated risks to get there. We don’t hide behind consensus or committees. Playing it safe is just failing slowly.
• Help Customers Win. We learn our customers’ businesses deeply — how they think, how they deploy capital, what keeps them up at night. We treat their capital like our own. We ship leverage, not features. And we measure ourselves by customer results, not our intentions.
• Move with Urgency & Purpose. We bias toward delivery over perfection, remove friction from our own paths, and communicate in real time. Momentum compounds — and we build it every day.
• Own the Outcome. We own outcomes, not just tasks. We hold a high Say:Do ratio and take responsibility from idea through impact. When something breaks, we fix it — we don’t wait to be asked.
• Never Satisfied. We raise the bar continuously. We stay curious, hold exacting standards, debate hard, and hold our opinions loosely when the evidence shifts. Excellence is a habit, not an event.

What You’ll Do

• Architect and own Built’s core cloud infrastructure on AWS — defining the patterns, standards, and systems that all engineering teams build on, from EKS/ECS cluster design to VPC topology to IAM governance.
• Lead platform modernization — driving the migration and simplification of our software delivery lifecycle, rationalizing tooling, and building the infrastructure foundation for Built’s AI-related product initiatives.
• Own SLOs and SLIs for the platform — define them, instrument them in your observability stack, and lead the team in meeting reliability targets consistently across all environments.
• Define DevOps engineering standards across the team — IaC patterns, CI/CD architecture, container orchestration standards, and observability frameworks.
• Drive the platform roadmap in partnership with engineering leadership — balancing foundational investment with immediate delivery needs and communicating trade-offs clearly to technical and non-technical stakeholders.
• Lead incident response and postmortems — serve as the technical escalation point for complex infrastructure failures, drive systemic improvements, and reduce incident volume over time.
• Evaluate and adopt new technologies across the platform stack — making sound build-versus-buy decisions with a clear view of long-term trade-offs and ROI.
• Mentor a team of 5 platform engineers through design reviews, pairing, architecture guidance, and knowledge-sharing sessions across the broader engineering organization.
• Partner with Information Security to lead vulnerability assessment and security architecture — ensuring compliance, proactive risk management, and adherence to regulatory requirements.

Skills & Experience

Must-Have

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of hands-on experience in DevOps, platform engineering, or cloud infrastructure in a production environment.
• Expert-level AWS knowledge — deep fluency with EKS, ECS, EC2, RDS, S3, IAM, VPC, and cost management tooling.
• Deep Kubernetes expertise — cluster architecture, networking, RBAC, autoscaling, and debugging production workloads at scale.
• Strong infrastructure-as-code proficiency with Terraform — writing extensible, maintainable modules and enforcing IaC standards across the team.
• Proven experience designing and operating CI/CD pipelines with GitHub Actions, CircleCI, or similar tooling.
• Hands-on observability experience with Datadog, Grafana, or similar platforms — metrics, logs, traces, monitors, SLO tracking, and alerting.
• Familiarity with incident management tooling (Incident.io, PagerDuty, or similar) and a track record of leading postmortems and driving systemic reliability improvements.
• Fluency in at least one scripting or automation language — Python, Go, or Bash.
• Strong communication skills — able to present infrastructure risks and architectural trade-offs to both engineers and non-technical stakeholders.

Nice-to-Have

• Experience with other IaC tools (Pulumi, CloudFormation, CDK) is a plus.
• Experience with service catalog and developer experience tooling (OpsLevel, Backstage, or similar).
• Background in fintech, lending, or regulated industries where uptime, auditability, and data security are critical.
• FinOps experience — cloud cost governance, right-sizing, and spend transparency across engineering teams.
• Contribution to open-source infrastructure projects or published engineering RFCs.

What the First Year Looks Like

Days 1–30: Learn the Landscape

• Ramp up on Built’s AWS infrastructure (EKS, ECS, VPC, IAM), CI/CD pipelines, and observability stack.
• Shadow on-call rotations (roughly one week every six weeks) to understand current incident patterns and pain points firsthand.
• Build relationships with product engineering teams to understand their infrastructure dependencies and friction points.

Days 30–60: Start Shaping the Platform

• Identify the highest-leverage opportunities for platform modernization and SDLC simplification.
• Begin contributing to architecture decisions and TRDs for current initiatives.
• Propose improvements to IaC standards, deployment pipelines, or observability coverage where gaps exist.

Days 60–90: Own and Drive

• Lead a meaningful platform initiative from architecture through delivery — whether modernization, reliability, or developer experience.
• Establish yourself as the technical standard-setter the team turns to for complex infrastructure and AI-related platform questions.
• Contribute to the roadmap planning process with a clear point of view on what the platform needs next.

AI & Technology Expectations

At Built, AI is a first-class part of how we work — not a pilot program. For this role specifically, that means:

• Use AI coding assistants (your choice of platform) as a daily productivity multiplier for IaC authoring, pipeline configuration, and automation scripting.
• Apply AI to platform operations: runbook generation, incident summarization, root cause analysis drafts, and postmortem synthesis.
• Drive and contribute to Built’s broader initiative to automate the software delivery lifecycle — identifying where AI can reduce manual toil across build, test, deploy, and observe workflows.
• Evaluate emerging AI infrastructure tooling and bring well-reasoned recommendations to the team.
• Share effective AI use cases and patterns with the broader engineering organization.

Operational Details

• Team size: You’ll join a team of 5 platform engineers, with this role serving as the senior technical anchor.
• On-call: Rotations run approximately one week every six weeks. We work continuously to reduce incident volume and toil so that on-call is manageable and low-noise.
• Location: Remote (US). Flexible working hours.

Built’s salary range for this position is $175,000-$235,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits.

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

This AVP, Modeling role reports to the VP, FACET Modeling Actuary. The Fortitude Analytics and Computational Evaluation Tool (FACET) is an in-house build actuarial modeling platform supporting statutory, GAAP, capital, hedging, embedded value, and long-range projection use cases. The platform is in a rapid-moving phase to standup and expand. The AVP, Modeling Actuary will play a critical role to ensure the timely delivery of modeling capacities with operation integrity, and ensure FACET remains stable, auditable, scalable, and aligned with enterprise financial and risk objectives. 

This role will be based in our Nashville, TN office on a hybrid basis.

What You Will Do: 

• Support FACET actuarial modeling platform standup and expansion.
• Work closely with model developers and end users to ensure timely delivery of functionalities. 
• Ensure proper design and change management of data, actuarial code, interface and pipeline automation.
• Test and validate cross-module model changes.
• Ensure FACET supports enterprise ALM use cases including:  
  • Long-Range Projections (LRP) 
  • Embedded Value (EV)
  • Pricing (challenger and production applications) 
  • Capital / BSCR 
  • AIL / SBA / CFT 
• Assist for proper documentation of modeling and methodology changes to the Governance Committee where required.
• Ensure proper model development life cycle.

What You Will Have:

• Bachelor's degree in finance, mathematics, statistics, computer science or related field.
• 7+ years of progressively more responsible actuarial experience with Life Insurance, Annuity products or ALM equivalent environment.
• Proficient in Python, Julia, SQL, GitHub and standard modeling tools and technology.
• Demonstrated analytical ability to analyze large and complex data sets and deliver insights to drive business decisions.
• Ability to work in a dynamic professional environment and handle multiple projects and deadlines.
• Ability to build relationships and communicate effectively across multiple levels and functions.
• Experience transitioning from vendor modeling platforms to internally developed solutions, preferred. 
• Ability to use/review/validate AI-generated code, preferred.
• Familiarity with open-source development practices, version control, CI/CD, and testing frameworks, preferred.

#LI-Hybrid

This AVP, Modeling role reports to the VP, FACET Modeling Actuary. The Fortitude Analytics and Computational Evaluation Tool (FACET) is an in-house build actuarial modeling platform supporting statutory, GAAP, capital, hedging, embedded value, and long-range projection use cases. The platform is in a rapid-moving phase to standup and expand. The AVP, Modeling Actuary will play a critical role to ensure the timely delivery of modeling capacities with operation integrity, and ensure FACET remains stable, auditable, scalable, and aligned with enterprise financial and risk objectives. 

This role will be based remotely.

What You Will Do: 

• Support FACET actuarial modeling platform standup and expansion.
• Work closely with model developers and end users to ensure timely delivery of functionalities. 
• Ensure proper design and change management of data, actuarial code, interface and pipeline automation.
• Test and validate cross-module model changes.
• Ensure FACET supports enterprise ALM use cases including:  
  • Long-Range Projections (LRP) 
  • Embedded Value (EV)
  • Pricing (challenger and production applications) 
  • Capital / BSCR 
  • AIL / SBA / CFT 
• Assist for proper documentation of modeling and methodology changes to the Governance Committee where required.
• Ensure proper model development life cycle.

What You Will Have:

• Bachelor's degree in finance, mathematics, statistics, computer science or related field.
• 7+ years of progressively more responsible actuarial experience with Life Insurance, Annuity products or ALM equivalent environment.
• Proficient in Python, Julia, SQL, GitHub and standard modeling tools and technology.
• Demonstrated analytical ability to analyze large and complex data sets and deliver insights to drive business decisions.
• Ability to work in a dynamic professional environment and handle multiple projects and deadlines.
• Ability to build relationships and communicate effectively across multiple levels and functions.
• Experience transitioning from vendor modeling platforms to internally developed solutions, preferred. 
• Ability to use/review/validate AI-generated code, preferred.
• Familiarity with open-source development practices, version control, CI/CD, and testing frameworks, preferred.

#LI-Remote

This AVP, Modeling role reports to the VP, FACET Modeling Actuary. The Fortitude Analytics and Computational Evaluation Tool (FACET) is an in-house build actuarial modeling platform supporting statutory, GAAP, capital, hedging, embedded value, and long-range projection use cases. The platform is in a rapid-moving phase to standup and expand. The AVP, Modeling Actuary will play a critical role to ensure the timely delivery of modeling capacities with operation integrity, and ensure FACET remains stable, auditable, scalable, and aligned with enterprise financial and risk objectives. 

This role will be based in our Jersey City, NJ office on a hybrid basis.

What You Will Do: 

• Support FACET actuarial modeling platform standup and expansion.
• Work closely with model developers and end users to ensure timely delivery of functionalities. 
• Ensure proper design and change management of data, actuarial code, interface and pipeline automation.
• Test and validate cross-module model changes.
• Ensure FACET supports enterprise ALM use cases including:  
  • Long-Range Projections (LRP) 
  • Embedded Value (EV)
  • Pricing (challenger and production applications) 
  • Capital / BSCR 
  • AIL / SBA / CFT 
• Assist for proper documentation of modeling and methodology changes to the Governance Committee where required.
• Ensure proper model development life cycle.

What You Will Have:

• Bachelor's degree in finance, mathematics, statistics, computer science or related field.
• 7+ years of progressively more responsible actuarial experience with Life Insurance, Annuity products or ALM equivalent environment.
• Proficient in Python, Julia, SQL, GitHub and standard modeling tools and technology.
• Demonstrated analytical ability to analyze large and complex data sets and deliver insights to drive business decisions.
• Ability to work in a dynamic professional environment and handle multiple projects and deadlines.
• Ability to build relationships and communicate effectively across multiple levels and functions.
• Experience transitioning from vendor modeling platforms to internally developed solutions, preferred. 
• Ability to use/review/validate AI-generated code, preferred.
• Familiarity with open-source development practices, version control, CI/CD, and testing frameworks, preferred.

#LI-Hybrid

The Sr. Actuarial Analyst, ADP will be a member of the Enterprise Risk Management (ERM) team for their first rotation. They will assist the Fortitude Re Actuarial team in performing Valuation, Financial Reporting, Modeling, Experience Studies, Assumptions, Capital Management, Inforce Management and/or Pricing activities. This candidate will participate in the Actuarial Development Program (ADP) which provides support in passing actuarial exams.

This role will be based in our Nashville, TN office on a hybrid basis.

What You Will Do:

• Periodic US GAAP, Statutory, and Tax valuations.
• Analysis and preparation of financial results.
• Building, maintenance and execution of models.
• Coding and testing of programs, processes and models.
• Ensuring that all work aligns with the Fortitude Re Control Framework.
• Technical reviews of work done by other teams or colleagues.
• Process improvement efforts and automation.
• Responding to internal and external auditor requests.
• Ad hoc project work.
• Analysis of hedging strategy and ALM strategy development, in coordination with risk management and the investments hedging team.
• Continue to pass actuarial exams and modules to maintain status in the Fortitude Re ADP to earn your Associateship or Fellowship.

What You Will Have:

• A Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics, or a related field, and:
  • Passed at least 4 actuarial exams.
  • 1.5 years of experience minimum.
• Strong proficiency in Excel; proficiency with Python and/or Julia is preferred.
• Experience with actuarial software (AXIS) is a plus; familiarity with SQL, Power BI, or other data analytics tools will be very useful.
• Ability to assist on multiple work assignments and meet time commitments.
• Ability to work well both independently and with others.
• Highly motivated, inquisitive and results oriented.
• The desire and ability to deliver accurate and completed work products.
• Strong oral and written communication skills.

#LI-Hybrid

Position Summary

We are seeking a highly analytical and disciplined Trader to execute and manage long only and hedged equity strategies in separately managed accounts (SMAs). The equities strategies include the utilization of options and/or short positions. The ideal candidate will have a strong understanding of options pricing, volatility, risk management, and execution, along with a solid grasp of how these strategies are applied within broader portfolios. This includes an understanding of underlying equity positions, position sizing, sector exposures, and how options impact overall portfolio construction. This role also demands strong quantitative skills, real-time decision-making ability, and a consistent track record of disciplined execution.

Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 days per week, or as assigned by their team leader.

Primary Responsibilities

• Execute and monitor the individual stock (long only and hedged) trading strategies across Separately Managed Accounts (SMAs).
• Maintain a strong understanding of underlying portfolios, including individual holdings, position weights, target allocations, and sector exposures, and how these inputs inform options strategy implementation.
• Execute tax-loss harvesting trades within the confines of the aforementioned strategies.
• Manage trade execution, client allocations, and performance reporting processes.
• Provide feedback and insight to the Portfolio Management and investment teams to inform and refine investment strategies.
• Maintain and manage risk exposures in real-time, adhering to firm and regulatory limits.
• Use proprietary and third-party tools to model trade outcomes and assess risk/reward profiles.
• Collaborate with sell-side firms, portfolio managers, research, operations, and technology teams to ensure accuracy across trade allocations and performance reporting.
• Generate performance reports and contribute to post-trade analysis and strategy improvement.
• Stay up to date on market developments, trading regulations, and industry best practices.
• Manage multiple workflows and projects simultaneously while maintaining a high degree of accuracy and accountability.
• Communicate to stakeholders, including firm advisors and clients (as needed).

Qualifications

• Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or a related quantitative field.
• 3+ years of trading experience, preferably with individual equities and listed options.
• Strong knowledge of derivatives pricing models (Black-Scholes, Greeks, volatility skew/smile).
• Proficiency in trading platforms (e.g., Bloomberg, ThinkOrSwim, TradeStation, Eikon) and analytical tools (Python, Excel/VBA, R, or similar).
• Ability to communicate clearly and collaborate across teams in a fast-paced environment.
• Excellent risk management discipline and ability to make decisions under pressure.
• Detail oriented with the ability to develop and manage checks and balances to ensure accuracy of trades and allocations to client accounts.

The annualized base pay range for this role is expected to be $125,000 - $150,000 per year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package.

#LI-KT1

Position Summary

We are seeking a highly analytical and disciplined Trader to execute and manage long only and hedged equity strategies in separately managed accounts (SMAs). The equities strategies include the utilization of options and/or short positions. The ideal candidate will have a strong understanding of options pricing, volatility, risk management, and execution, along with a solid grasp of how these strategies are applied within broader portfolios. This includes an understanding of underlying equity positions, position sizing, sector exposures, and how options impact overall portfolio construction. This role also demands strong quantitative skills, real-time decision-making ability, and a consistent track record of disciplined execution.

Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 days per week, or as assigned by their team leader.

Primary Responsibilities

• Execute and monitor the individual stock (long only and hedged) trading strategies across Separately Managed Accounts (SMAs).
• Maintain a strong understanding of underlying portfolios, including individual holdings, position weights, target allocations, and sector exposures, and how these inputs inform options strategy implementation.
• Execute tax-loss harvesting trades within the confines of the aforementioned strategies.
• Manage trade execution, client allocations, and performance reporting processes.
• Provide feedback and insight to the Portfolio Management and investment teams to inform and refine investment strategies.
• Maintain and manage risk exposures in real-time, adhering to firm and regulatory limits.
• Use proprietary and third-party tools to model trade outcomes and assess risk/reward profiles.
• Collaborate with sell-side firms, portfolio managers, research, operations, and technology teams to ensure accuracy across trade allocations and performance reporting.
• Generate performance reports and contribute to post-trade analysis and strategy improvement.
• Stay up to date on market developments, trading regulations, and industry best practices.
• Manage multiple workflows and projects simultaneously while maintaining a high degree of accuracy and accountability.
• Communicate to stakeholders, including firm advisors and clients (as needed).

Qualifications

• Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or a related quantitative field.
• 3+ years of trading experience, preferably with individual equities and listed options.
• Strong knowledge of derivatives pricing models (Black-Scholes, Greeks, volatility skew/smile).
• Proficiency in trading platforms (e.g., Bloomberg, ThinkOrSwim, TradeStation, Eikon) and analytical tools (Python, Excel/VBA, R, or similar).
• Ability to communicate clearly and collaborate across teams in a fast-paced environment.
• Excellent risk management discipline and ability to make decisions under pressure.
• Detail oriented with the ability to develop and manage checks and balances to ensure accuracy of trades and allocations to client accounts.

The annualized base pay range for this role is expected to be $125,000 - $150,000 per year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package.

#LI-KT1

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

• Experience with Groovy scripting

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $120,000.00 USD to $130,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

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

About the Role

We are building a differentiated advisory practice at the intersection of AI strategy, governance, and security. As organizations move from AI experimentation to enterprise-scale deployment, they face urgent questions: How do we govern AI responsibly? How do we secure agentic architectures? How do we align technical capabilities with business strategy and regulatory requirements?

This role is designed for a technically grounded early-career professional who wants to help answer those questions alongside senior practitioners. You will work directly with the practice lead on client-facing engagements, contribute to the development of proprietary frameworks and tools, and build expertise in one of the fastest-growing areas of consulting.

This is not a traditional strategy consulting role, and it is not a pure engineering role. It sits at the intersection—you need to be comfortable reading Python, understanding how LLMs and agentic systems work, AND translating that knowledge into governance frameworks, risk assessments, and executive-ready deliverables. If you thrive at the border between technical depth and business impact, this is for you.

What You Will Do

Client Delivery (50–60%)

• Support the design and delivery of AI governance assessments for clients across industries, leveraging frameworks such as ISO/IEC 42001, NIST AI RMF, and the EU AI Act.
• Conduct technical reviews of client AI systems, architectures, and deployments to identify governance gaps, security vulnerabilities, and risk exposure.
• Develop AI risk registers, control mappings, and maturity assessments tailored to each client’s organizational context and regulatory landscape.
• Prepare client-facing deliverables including assessment reports, executive briefings, implementation roadmaps, and policy recommendations.
• Participate in workshops and stakeholder interviews with client teams ranging from data scientists to C-suite executives.

Practice Development (25–30%)

• Help build and refine the practice’s proprietary AI governance and security framework, integrating industry standards with practical implementation experience.
• Research emerging AI risks, including those specific to agentic AI systems, LLM-based applications, MCP architectures, and AI supply chains.
• Develop reusable tools, templates, and accelerators (e.g., assessment questionnaires, control libraries, risk scoring models) to scale the practice.
• Contribute to thought leadership content: draft LinkedIn posts, white papers, blog articles, and conference presentation materials.
• Monitor regulatory and standards developments (EU AI Act, state-level AI legislation, ISO/IEC updates, OWASP LLM Top 10) and maintain a current knowledge base.

Technical Contribution (15–20%)

• Build proof-of-concept tools and demos using Python to illustrate governance and security concepts for clients (e.g., prompt injection demonstrations, model evaluation dashboards, automated compliance checks).
• Evaluate and test AI platforms, tools, and vendor solutions from a governance and security perspective.
• Support the practice lead’s technical fluency development by preparing technical briefings, annotated code walkthroughs, and “translation” materials that bridge technical and executive audiences.
• Stay hands-on with AI/ML development trends: experiment with agentic frameworks (LangChain, LangGraph, CrewAI), RAG architectures, and model evaluation techniques.

What We Are Looking For

Required Qualifications

• 2–3 years of professional experience in one or more of the following areas: AI/ML engineering, data science, or cybersecurity.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Cybersecurity, Engineering, or a related field. Master’s degree is a plus but not required.
• Working proficiency in Python and comfort navigating data science tooling (Jupyter, Pandas, Scikit-learn, or equivalent).
• Foundational understanding of machine learning concepts: supervised/unsupervised learning, model training and evaluation, overfitting, bias-variance tradeoff.
• Familiarity with LLM-based applications: understanding of how large language models work (at minimum: tokenization, embeddings, attention, fine-tuning vs. RAG vs. prompt engineering).
• Strong written and verbal communication skills—you must be able to explain technical concepts to non-technical stakeholders clearly and concisely.
• Comfort working in ambiguity: this is a practice being built, not a mature team with fully defined processes. You need to be self-directed and resourceful.

Preferred Qualifications

• Exposure to AI governance or risk management frameworks (ISO/IEC 42001, NIST AI RMF, EU AI Act, OWASP LLM Top 10, MITRE ATLAS).
• Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen) or understanding of agent architectures and tool-use patterns.
• Understanding of MCP (Model Context Protocol) or similar protocols for AI system integration and the security implications thereof.
• Background in cybersecurity, including familiarity with security frameworks (NIST CSF, ISO 27001) and how they intersect with AI-specific risks.
• Experience in a consulting or professional services environment, including client-facing work and deliverable development.
• Relevant certifications such as: CISA, CISSP, CCSP, AWS/Azure AI certifications, or ISO 42001 Lead Implementer/Auditor.
• Bilingual English/Spanish is a strong plus.

The Kind of Person Who Thrives in This Role

We are not looking for someone who fits neatly into a single box. The ideal candidate is a “bridger”—someone who can move fluidly between a technical deep dive and an executive conversation. Specifically:

• You’re a builder, not just an analyst. When you see a gap in a process or a tool, your instinct is to prototype something—a script, a template, a dashboard, not just write a slide about it.
• You’re curious about “why” and “so what.” You don’t just want to understand how a transformer model works; you want to understand what that means for how organizations should govern and secure it.
• You write well. A significant portion of this role involves producing written work—reports, frameworks, articles—and clarity of writing is non-negotiable.
• You’re comfortable being the least experienced person in the room. You’ll be in meetings with CIOs, CISOs, and senior partners. You need the confidence to contribute and the humility to learn.

What We Offer

• Accelerated growth trajectory: You’ll be building a practice from the ground up alongside senior leadership, gaining exposure and responsibility that would take years to earn in a larger, more established team.
• Investment in your learning: Budget for certifications, training programs, and conference attendance.
• Client diversity: Work across industries and with organizations at different stages of AI maturity—from Fortune 500 companies to mid-market firms navigating their first AI initiatives.

About Minno

Minno is a global media and technology company based in Nashville, Tennessee, on a mission to help kids and families experience Jesus every day through media and technology.

Founded in 2019, Minno is building the most trusted Christian media brand for the next generation. Through our streaming platform, original programming, publishing, and digital presence, we spark children's curiosity about God and the Bible, support parents, and create joyful, lasting faith experiences for families worldwide.

We're a fast-growing startup — powered by a mission-driven team with experience at Amazon, PBS KIDS, Duolingo, Disney, DreamWorks Animation, Noggin, and leading studios and startups. Our growth has placed us in the top 1% of direct-to-consumer subscription businesses, and we are scaling rapidly following the close of our Series A round, led by Konvoy Ventures.

Minno is a Nashville-based global media company serving Christian kids and families through: 

• Minno Kids: Our flagship ad-free streaming platform experiencing triple-digit growth
• Minno Originals: Award-winning original programming including "Laugh and Grow Bible for Kids" and "Young David" 
• YouTube channel: The fastest-growing Christian kids' channels with triple-digit year-over-year growth 
• Minno Press: Our successful publishing unit behind bestselling children's titles, including the award-winning "Minno Laugh & Grow Bible for Kids." 

We differentiate ourselves through creative excellence, faithful curation, parent partnership, and a global vision that honors the diversity of the Church. Minno is a public benefit corporation, and our mission fuels everything we do.

Minno uniquely differentiates itself by promising: 

• Experiential Excellence:  Top-tier quality that changes expectations and raises the bar for Christian content. 

• Safe Entertaining Christian Content: Kid-friendly, entertaining, engaging, age-appropriate, and Biblically aligned content. 

• Practical Faith Support:  Resources that cultivate faith, invite conversation, and foster spiritual growth. 

• Values the Global Church: Honoring the diversity of the global church and people as image bearers of God. 

As a public benefit corporation, Minno is committed to helping kids and their families experience Jesus every day through media and technology. This mission drives everything we do.

The Opportunity

This is Minno's first embedded analytics hire - and one of the most consequential roles we're making as we scale toward becoming the category-defining platform for Christian kids and families.

You will build the analytical backbone of the entire company from the ground up. You'll partner directly with the CEO, CFO, CMO, CCO, CTO, and CPO to transform data from across our growing platform into clear, trusted intelligence that drives every major decision - from content investment to marketing spend to platform strategy.

What makes this role different from a typical analytics hire is the way decisions are made here. When you bring a finding to light, it gets acted on. Our CMO wants to be taught, not just served. Our CFO presents analytical models directly to the board. Your work will shape what Minno does, not sit in a reporting system nobody reads.

This role starts as a high-impact individual contributor. As Minno scales, you'll have the opportunity to build and lead a small analytics team - this is a foundational role in the company we're building, not a seat at the end of a long table.

Why Content Analytics and Children's Data Privacy Matter Here

Minno operates at the intersection of three hard problems: content, kids, and subscriptions.

We produce and distribute original children's programming across our own streaming platform, YouTube (1.1M+ subscribers), and third-party distribution partners. Understanding which content drives engagement, retention, and long-term subscriber value - not just which content is most expensive to produce - is the central analytical challenge of this business.

Content analytics is the hardest of our three analytical verticals to hire for. Marketing attribution and product analytics are learnable. Content analytics requires intuition built from experience - knowing how to evaluate the value of a piece of content, how to model the relationship between content investment and subscriber behavior, and how to advise a creative team with data they actually trust.

Because our audience is children, every analytical system you build must be designed within the constraints of COPPA (Children's Online Privacy Protection Act) and its global equivalents. This isn't a checkbox compliance exercise. It shapes what data you can collect, how you can model behavior, how you work with third-party platforms, and how you architect everything from your data warehouse to your reporting layer. If you've navigated children's data privacy in a product analytics context before, you know what this means. If you haven't, this role will require you to learn it fast - and we'd rather hire someone who's already been through it.

Our Mission and Faith

Minno is a Christian company, and our faith is inseparable from our work. We're building a platform to help kids and families experience Jesus every day - and that conviction shapes every product decision, content investment, and hire we make.

We're looking for someone who is personally aligned with that mission - not because it's a checkbox, but because the work is more meaningful when the mission resonates. You don't need to be an expert in Christian media, but you do need to genuinely care about what we're building for kids and families and see this role as more than a career move.

What You'll Do

• Build and own Minno's analytics foundation - ensuring every functional leader has access to accurate, timely, trusted data to drive their decisions
• Deliver content intelligence that guides investment, licensing, and programming decisions across our growing catalog
• Build investor-grade analytics infrastructure that supports Minno's next phase of growth and capital strategy
• Own marketing attribution across our direct-to-consumer and third-party distribution channels, giving the CMO and CFO clear visibility into what's driving member value
• Drive member lifecycle and behavioral intelligence that informs product prioritization and retention strategy
• Operate as a proactive strategic partner to the executive team - bring insights before they're requested and make data central to every major decision
• Lead Minno's AI analytics strategy and ensure every new business model and content format is instrumented before it launches

What You'll Bring

Must Have

• 5+ years in data analytics, business intelligence, or a related function with demonstrated progression in scope and responsibility
• Experience building or leading content analytics in a media, entertainment, or content-driven business.
  • You've evaluated content performance, modeled the relationship between content and business outcomes, and advised creative teams with data.
• Direct experience with children's data privacy regulations (COPPA, GDPR-K, or equivalent) in a product or analytics context - or deep experience in a regulated data environment where privacy constraints shaped your analytical approach.
• Advanced SQL proficiency - able to independently query and transform data from complex, multi-source environments
• Fluency in Tableau or comparable BI tool - built dashboards from scratch, not just maintained existing ones
• Demonstrated experience building an analytics function or owning analytics end-to-end as the primary analyst in a small or growing company
• Experience with third-party platform distribution analytics - platforms where member-level data is constrained and indirect
• Strong AI fluency - actively uses AI tools in their workflow with a clear point of view on where they add the most value
• Exceptional communication skills - can translate complex data into a clear narrative that drives decisions in the boardroom
• Proactive, ownership mindset - brings insights before being asked and operates independently
• Genuine alignment with Minno's Christian mission and enthusiasm for the audience we serve

Strongly Preferred

• Experience in media, streaming, or multi-format content analytics
• Familiarity with COPPA compliance, children's data privacy regulations, and the analytics constraints that apply to platforms serving users under 13. Familiarity with investor-grade subscription metrics and financial modeling
• Proficiency in Python or R
• Experience with GA4, AppsFlyer, Amplitude, Mixpanel, or similar tools
• Familiarity with DBT or data modeling and transformation tools
• Experience with Snowflake or a comparable cloud data warehouse
• Hands-on experience with multi-touch marketing attribution in a subscription context

Nice to Have

• Background in faith-based, family, or children's media
• Experience building analytics frameworks for new business models before launch

Our Values

• Bias for Action: We take initiative and make decisions quickly
• Curious, not Content: We are eager to learn and innovate
• Grit & Resilience: We persevere and follow through on our commitments
• Rigorous Intentionality: We pay attention to details and understand the "why" behind our work
• Think Like Owners: We are resourceful and take wise risks
• Mutual Blessing: We operate generously on behalf of others
• Trust Builders: We gain confidence through honesty, integrity, and authenticity
• Adapt & Flex: We operate effectively in uncertain situations

Location

Nashville, TN preferred. Open to remote for the right candidate, with regular travel to Nashville for quarterly planning and team collaboration.

Compensation & Benefits

• Competitive base salary commensurate with experience
• Performance-based bonus
• Equity package
• Comprehensive benefits
• Professional development opportunities, including key industry conferences and leadership development programs

Minno is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, sexual orientation, national origin, age, disability, or other protected characteristics.

To apply, please submit your resume and a cover letter explaining your interest in Minno and how your experience aligns with our mission and values.

Join us in building something that matters — and helping millions of kids and families experience Jesus every day.

Location: Nashville, TN

Work Environment: Hybrid, periodic travel required   

Target Compensation Range: $130,000 to $170,000

Role Summary: Lead data engineering workstreams and build high-quality data solutions that support client reporting, analytics, and data pipelines.

Who We Are 

At The Gunter Group (TGG), we are a people-first management consulting firm and proud 20-time workplace award winner. We build trusted partnerships with our clients by working alongside their teams. Together, we deliver practical solutions and lasting impact across strategy, execution, people, and technology. We show up ready to roll up our sleeves, solve complex problems, and make a real difference together.

Your Impact at The Gunter Group

As a Senior Consultant – Data Engineer at The Gunter Group, you partner closely with clients and consulting teams to deliver meaningful business results through high-quality data engineering solutions. You take ownership of technical workstreams, help guide delivery, and collaborate with both technical and non-technical stakeholders to turn unstructured challenges into structured, actionable data solutions.

You contribute across a variety of industries and engagement types, applying strong technical judgment and practical problem-solving skills to design, build, and deliver data platforms and pipelines that support client goals.

Lead High-Impact Client Delivery

• Play a key role in client engagement delivery by leading data engineering workstreams and guiding TGG teams to successful project outcomes.
• Flex across delivery environments, working as an individual contributor, part of a consulting team, or as a technical or workstream lead embedded with the client.
• Apply structured methodologies, toolkits, and best practices to execute effectively and deliver high-quality data solutions.
• Embrace unstructured challenges and help turn them into actionable plans and measurable outcomes.

Deliver Data Engineering & Analytics Solutions

• Analyze requirements and design, build, debug, and deploy cloud-based data services and components.
• Build and schedule data pipelines to extract, transform, and store data across SQL databases and cloud platforms including Azure, GCP, AWS, and Snowflake.
• Explore and analyze data using Excel, Power Query, SQL, and Python, developing solutions in Python/Jupyter and presenting insights through data visualizations.
• Develop and maintain design documentation, data models, and interface specifications.
• Write unit tests and work within CI/CD, code quality, and UAT processes.

Collaborate Across Stakeholders and Teams

• Partner with client stakeholders ranging from individual contributors to senior executives to align on goals and deliver outcomes.
• Communicate effectively with IT developers, product owners, and other technical stakeholders.
• Work alongside a collaborative team of TGG consultants committed to delivering outstanding client service.
• Engage with TGG partners, principals, account leaders, managers, and peers who support your success across engagements

What You Bring 

• 6+ years of consulting or related experience with a strong track record of client service and delivering results.
• Proven ability to collaborate with non-technical stakeholders to gather requirements, plan delivery, and communicate results using clear documentation, diagrams, and presentations.
• Experience with data science and machine learning concepts and methods.
• Experience with Python, SQL, and BI/analytics tools (e.g., Power BI, Tableau), and familiarity with modern programming languages and frameworks (Java, C#/.NET, JavaScript). 
• Understanding of programming paradigms, source control, and software lifecycle best practices (e.g., Git). 
• Strong knowledge of data lifecycles, including how data is collected, transformed, stored, and consumed. 
• Experience working in Agile/Scrum environments and translating business needs into effective technology solutions.

Working at The Gunter Group

Salary and Benefits

Supporting the well-being of our team is a priority at TGG. Our benefits package includes competitive health coverage, wellness programs, flexible PTO, professional development and work-from-home stipends, as well as team offsites, social events, and volunteer opportunities.

The total expected compensation range for this role is $130,000 to $170,000, consisting of a base salary and variable billing bonus component. Additional compensation may be earned through contributions to account leadership and business development. We discuss compensation and bonus opportunities openly throughout the hiring process.

Why TGG

The Gunter Group is headquartered in Portland, Oregon, with team members primarily located in our three core geographies: Portland, Nashville, and Denver. Our consultants work across remote, hybrid, and onsite environments depending on client needs, with travel expectations varying by engagement and aligned collaboratively with both clients and team members.

We partner with organizations across industries including retail, apparel, government, education, insurance, and Fortune 100 companies, working alongside client teams to solve complex problems and deliver practical solutions that drive lasting results. Our work is rooted in strong relationships, thoughtful execution, and a shared commitment to doing quality work.

At TGG, we believe people do their best work when they feel respected, supported, and included. We are committed to fostering an engaging, fair, and authentic environment where diverse backgrounds and perspectives are valued. Our culture is guided by non‑negotiable values—including integrity, curiosity, emotional intelligence, collaboration, confidence, and the ability to thrive in ambiguity—and by a high standard of excellence in how we show up for our clients and each other.

The Gunter Group LLC is an equal opportunity employer.

WORKING AT THE MLC

The MLC is committed to excellence, service, transparency, and diversity. Our culture is collaborative, our people are adaptable. On our team, you are respected, valued for your unique strengths and experiences, and empowered to identify and resolve your own challenges.

The Mechanical Licensing Collective (The MLC) is a nonprofit organization designated by the U.S. Copyright Office to administer blanket mechanical licenses for digital music services in the United States. Our mission is to ensure that songwriters, composers, and music publishers are accurately paid for the use of their music in the digital ecosystem. While our foundation is rooted in music licensing and rights administration, the scale and complexity of the data we process-billions of usage records from digital service providers-has positioned The MLC at the intersection of music and technology. As we continue to build and refine the systems that power matching, royalty processing, and rights management, we are increasingly operating like a technology company, developing sophisticated platforms, data infrastructure, and automation to support the future of digital music licensing.

THE ROLE

As a Quality Assurance Engineer, you will design, implement, and own the testing strategy for the Matching Platform. You will build and maintain automated testing frameworks and perform exploratory validation across workflows, APIs, integrations, and user-facing components to ensure the system behaves as intended and that changes do not introduce regressions. You will contribute production-quality testing code, establish testing standards and best practices, and work closely with the Matching Team throughout story refinement and implementation to ensure new functionality is testable, clearly defined, and validated before completion. The Matching Platform is a critical tool that enables The MLC to drive accurate royalty payments to our Members.

QUALIFICATIONS

• Minimum five (5) years’ experience in Quality Assurance or Quality Engineering within a software engineering team.
• Strong experience designing and implementing automated tests; able to write and maintain production-quality testing code.
• Hands-on experience with manual and exploratory testing in complex systems; able to validate behavior against business rules.
• Experience testing APIs and workflow-heavy or data-driven systems; proficient in SQL; experience working within AWS environments.
• Experience testing machine learning or probabilistic systems, building testing frameworks from scratch, or working with orchestration tools such as Dagster or Airflow is a plus.
• Strong attention to detail, clear documentation skills, and effective collaboration within Agile, cross-functional teams.
• Working proficiency in Python, familiarity with other languages is a plus.

ESSENTIAL RESPONSIBILITIES

AS A QA ENGINEER AT THE MLC, YOU WILL:

• Own the testing strategy for the Matching Platform, ensuring consistent validation across workflows, APIs, integrations, and user-facing components.
• Design, build, and maintain automated test suites in Python, establishing and evolving the team’s testing framework.
• Perform manual and exploratory testing before work is considered complete, validating complex workflows, identifying defects, edge cases, unintended behaviors, and deviations from business rules.
• Collaborate closely with engineers and product stakeholders during story refinement and development to ensure features are testable and clearly defined.
• Define and maintain QA standards and testing practices within the Matching Team, contributing to regression coverage as the platform evolves.
• Investigate and document defects clearly, working with developers to resolve issues prior to ticket completion.

AS A MEMBER OF THE TECHNOLOGY TEAM, YOU WILL:

• Advocate for quality throughout the development lifecycle, partnering with engineers to incorporate testing considerations early.
• Contribute to the evolution of scalable, automated QA practices across the Technology organization.
• Promote consistent standards for reliability, validation, and defect management.
• Participate in Agile ceremonies, providing a quality-focused perspective in planning and retrospectives.
• Support continuous improvement of engineering practices as systems grow in complexity.