The Role

Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Senior Software Engineers who are ready to lead the development of key advancement to the next generation of our financial services platform. 

Data Foundations leads the path on building the central platform-level foundation and infrastructure that powers SoFi's entire data ecosystem. Their scope spans Infrastructure & Core Primitives and Platform Operations — essentially the backbone that enables all data capabilities across the organization. Key qualifications of this role include:

• Leading the technical evolution of one or more key platform subsystems.
• Resolving problems in the platform design and implementation that weren’t clearly anticipated, taking requirements with ambiguity and proposing durable technical solutions.
• Expertly leverage existing solution patterns and understand when to differentiate resulting in well-structured, maintainable code.
• Ability to understand data models, APIs, scaling concerns, and failure modes in order to make effective trade-offs between maintainability and performance.
• Creating stability by writing meaningful tests, considering observability, and leveraging your ability to debug complex issues across multiple system layers.
• The ability to create clear design and operational documentation.
• Contributes to code reviews, is a role model for more junior engineers, and contributes to team efficiency, beyond personal output.

What You’ll Do

As an emerging leader within our team, you will focus on building out the backend services for our next-generation Lending Platform. This role involves full product lifecycle engagement, from initial concept to deployment. Key responsibilities include implementing new capabilities, ensuring code quality, and delivering highly-available, scalable services. Success requires close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be responsible for translating business requirements from these stakeholders into effective technical solutions that provide outstanding value to our members.

What You’ll Need

• Bachelor's or Master's degree in Computer Science, or Software Engineering
• 3+ years as a professional, full-time Software Engineer, or similar relevant work experience.
• Proficient coding in Java, Kotlin, or other similar object-oriented programming language.
• Proficient working with GIT and related CI/CD systems.
• Experience with public cloud compute, storage, and infrastructure.
• Experience with any data warehousing solution like Snowflake and IAC tools to provision platform infrastructure.
• Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.
• Deep understanding of relational and document database fundamentals.
• Deep understanding of fundamental distributed systems concepts.

Nice To Have

• Full-Stack experience in both back-end (Kafka, Redis, Docker) and front-end (JavaScript, TypeScript, React).
• Experience with microservices design principles and architecture.
• Experience with workflow orchestration technology (AWS step function, Airflow, Temporal).

We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

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

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

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

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

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

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

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

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

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

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

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

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

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

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

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

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

The Role

Join us in revolutionizing the financial landscape. SoFi is seeking enthusiastic Senior Software Engineers who are ready to lead the development of key advancement to the next generation of our financial services platform.

Data Trust org leads the path for building platform services, and governance initiatives — from integrating diverse data sources into governance tools to evolving the foundational architecture that supports SoFi’s long-term growth

Data Trust’s charter includes

• Development and management of the Unified Data Catalog and Discovery Tools
• Ownership and other metadata associated with the Catalog
• Lineage and retention policies
• Data Quality Strategy and Standardization (Tiered Ownership, SLOs)
• Enforce regulatory compliance and privacy across data
• Data Governance enforcement and tooling (Data Contracts, RBAC mechanisms).
• Building self-service tools for Data Owners and Data Engineers.

What You’ll Do

As an emerging leader within our team, you will focus on building out the backend services for our next-generation metadata architecture. This role involves full product lifecycle engagement, from initial concept to deployment.

Key responsibilities for this role include:

• Implementing new capabilities, ensuring code quality, and delivering highly-available, scalable services.
• Success requires close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be responsible for translating business requirements from these stakeholders into effective technical solutions that provide outstanding value to our members.
• Leading the technical evolution of one or more key platform subsystems.
• Expertly leverage existing solution patterns and understand when to differentiate resulting in well-structured, maintainable code.
• Ability to understand data models, APIs, scaling concerns, and failure modes in order to make effective trade-offs between maintainability and performance.
• Creating stability by writing meaningful tests, considering observability, and leveraging your ability to debug complex issues across multiple system layers.
• The ability to create clear design and operational documentation.
• Contributes to code reviews, is a role model for more junior engineers, and contributes to team efficiency, beyond personal output.

What You’ll Need

• Bachelor's or Master's degree in Computer Science, or Software Engineering
• 3+ years as a professional, full-time Software Engineer, or similar relevant work experience.
• Proficient coding in Java, Kotlin, Python or other similar object-oriented programming language.
• Proficient working with GIT and related CI/CD systems.
• Experience with public cloud compute, storage, and infrastructure.
• Experience with any data warehousing solution like Snowflake and IAC tools to provision platform infrastructure.
• Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.
• Deep understanding of relational and document database fundamentals.
• Deep understanding of fundamental distributed systems concepts.

Nice To Have

• Full-Stack experience in both back-end (Kafka, Redis, Docker) and front-end (JavaScript, TypeScript, React).
• Experience with microservices design principles and architecture.
• Experience with workflow orchestration technology (AWS step function, Airflow, Temporal).
• Experience working with Data Platforms

We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.

About the Role

We are looking for a Senior Solution Lead to join our high-performing Pre-Sales & Solution Strategy team. You will sit at the intersection of Sales, Delivery, Product, and Client Leadership, shaping the solutions we take to market and directly influencing multi-million-dollar outcomes.

This is not a “respond to the RFP and pray” role. This is a strategic, high-ownership, high-IQ seat where you:

• Shape the problem,
• Design the solution, and
• Influence how we win and deliver.

You will focus exclusively on large, complex opportunities valued at $1M+, where your problem-framing, technical depth, and storytelling materially impact win rates.

You will report to the Head of Pre-Sales & Solution Strategy and collaborate with a senior, globally distributed team across India, the US, and Europe.

Responsibilities:

What You’ll Own

1. Deal Shaping & Pre-Sales Architecture

• Translate ambiguous client goals into clear, compelling, technically credible solution architectures (Figma/Miro/Adobe)
• Lead discovery workshops, ask incisive questions, and define what a winning solution looks like—for the client and for us.
• Build decks, narratives, and pricing models that position us decisively above competitors. (Google/PP/Canva)
• Navigate seamlessly between C-level outcomes (business case, ROI, risk) and engineering deep dives (architecture, delivery approach, tradeoffs).
• Own the solution narrative end-to-end across EOI/RFI/RFP responses, orals, and executive briefings.
• Solution Estimating: Provide high level pricing estimates tied to value impact statements (ROI) for clients including software, hardware, cloud and tooling licensing for POC/MVP/Commercial models
  
  

2. Cross-Domain Solution Engineering

Own the solution across the full delivery lifecycle, spanning:

• Applications – modernization, greenfield engineering, platforms, integration
• Infrastructure – cloud infra, DevOps, SRE, infra automation
• Security – controls, IAM, governance, secure-by-design patterns
• Cloud – AWS / Azure / GCP architectures, migration strategies, optimization / FinOps
• Tooling- AI models, ISV licenses, tokens etc

You bring technical breadth with depth in at least one practice area and can credibly orchestrate end-to-end solutions.

A practical understanding of how AI cuts across these domains is essential, including:

• agentic automation across workflows and operations
• private AI stacks (RAG, governance, observability)
• model-integrated applications and copilots that augment existing systems

3. Go-To-Market & Productized Offerings

• Turn our capabilities into clear, differentiated, repeatable solutions and offerings.
• Collaborate with Product, Delivery, and Marketing to evolve our GTM playbooks and sales assets.
• Package reference architectures, POVs, and standard patterns based on real market demand.
• Capture learnings from deals and delivery to refine offerings and win themes.

4. Internal Collaboration & Leadership

• Partner closely with Sales on deal strategy, qualification, and pursuit plans.
• Align with Delivery Leaders to ensure proposed solutions are buildable, profitable, and differentiated.
• Contribute to sales enablement via reusable messaging, templates, and pricing frameworks.
• Act as a thought leader and mentor for junior solution engineers and architects.

What Success Looks Like

• You influence $6M+ in annual revenue through deals with TCV targets valued at $1M+.
• Stakeholders (Sales, Delivery, Clients) consistently rate your solutions as clear, differentiated, and client-aligned.
• Sales teams proactively pull you into strategic conversations because you “help deals close.”
• Delivery teams trust your architectures—and want to build them.
• You significantly enhance our GTM library with reusable assets, offerings, and standard patterns.
• Over time, you shape or lead 1–2 strategic offerings or solution themes for the company.

Who Thrives in This Role

We’re targeting top-tier pre-sales / solution engineering talent in India who demonstrate:

• Flexible thinking – can reshape a problem even when the client can’t articulate it clearly
• Structured reasoning – can break down complexity into options, tradeoffs, and recommendations
• Technical breadth + depth – strong grounding in apps, infra, security, and cloud, with a sharp view of how AI enhances each
• Storytelling ability – can communicate crisply to CXOs, procurement, and engineering teams
• Calm confidence – comfortable leading conversations amid ambiguity and pace
  Ownership mindset – thinks like an owner, not a vendor; cares about long-term value and delivery success

About You

The essentials:

• 7–12+ years in pre-sales engineering, solutions architecture, or consulting roles in IT services / SaaS / cloud / AI-led solutions
• Proven ability to influence or close $1M+ services deals (multi-tower or multi-year preferred)
• Hands-on understanding of services delivery, including SDLC, cloud migrations, modernization, architecture patterns, and infra operations
• Experience designing or positioning solutions with AI integration, agent workflows, automation, or model-enhanced apps (copilots, RAG systems, intelligent workflows)
• Ability to build defensible pricing models (T&M, fixed-price, managed services, outcome-based)
• Strong written and verbal communication skills in English; experienced presenting to senior stakeholders
• Comfortable working with distributed global teams across time zones

Not a must, but a plus:

• Hands-on experience with one or more major cloud providers (AWS, Azure, GCP)
• Familiarity with modern data and AI stacks (Snowflake, Databricks, vector DBs, LLM orchestration frameworks)
• Background in consulting-led environments (Big 4, global SIs, boutique consulting firms)
• Industry experience in BFSI, Retail, Manufacturing, Healthcare, or similar

At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

LOCATION salary range

$150,000— $180,000 USD

#LI-REMOTE 

#LI-SDL1

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

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

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

Preferred Qualifications

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

Compensation Details

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

*This role requires a hybrid schedule in our Seattle, WA office; Tuesday–Thursday in-office, Monday and Friday remote.* 

ROLE OVERVIEW  

LendingTree is seeking a Business Analyst to support our fast-growing Revenue Operations group. This role is responsible for delivering actionable insights through strong analytical execution, clear storytelling, and close partnership with business stakeholders. 

As a Business Analyst, you will independently own analyses for a defined business area, assess business problems, collect and analyze the right data, and translate findings into insights that drive measurable business outcomes. You will partner closely with Sales and Marketing teams to discover and remove operational bottlenecks to drive revenue growth. Performing deep analysis into technical systems and building reports that give clarity to these complex systems.  

This role aligns to LendingTree’s Business Analyst job family with an emphasis on analytics delivery, business partnership, and technical proficiency in SQL/Snowflake. 

CORE RESPONSIBILITIES 

Analytics & Insights Delivery 

• Deliver data-driven insights using clean, well-organized analyses, dashboards, and visualizations. 

• Identify patterns, trends, and anomalies in campaign and partner performance and translate findings into clear recommendations. 

• Assess business situations, define analytical problems, and determine the appropriate data and methodology to address them. 

Revenue Operation Support 

• Serve as the primary analytics partner for the Revenue Operations group, supporting day-to-day decision-making and strategic initiatives. 

• Conduct detailed audits of tech platforms to identify optimization opportunities and inefficiencies. 

• Support strategic innovation projects by providing ongoing performance analysis and insight. 

Measurement & Experimentation 

• Track and evaluate the results of business initiatives to determine whether outcomes were successful. 

• Support the development, execution, and analysis of A/B tests, including defining success metrics and interpreting results. 

• Establish baseline performance metrics and KPIs to measure campaign success and year-over-year growth. 

Technical Execution 

• Write efficient, accurate SQL queries in Snowflake to extract and analyze large, complex datasets. 

• Ensure data accuracy and consistency across reporting and analyses. 

• Partner with engineering and product teams to understand data structures, resolve data questions, and reduce ad-hoc analytical load on engineers. 

Cross-Functional Collaboration 

• Communicate insights effectively to both technical and non-technical stakeholders. 

• Proactively surface risks and opportunities that may impact performance or scalability. 

• Contribute to analytics best practices, documentation, and standardization within the Business Analytics team. 

Immediate Focus Areas 

• Provide support for deep-dive analysis of key focus areas of Revenue Operations. 

• Build and maintain foundational dashboards to track campaign efficiency, ROI, and incremental VMD. 

• Partner with Media/Publisher stakeholders to understand priorities, workflows, and pain points. 

• Deliver actionable recommendations that drive improvements in performance and operational efficiency. 

Key Metrics & Business Impact 

This role will directly impact: 

• Incremental VMD through improved distribution optimization. 

• Cost per Conversion by identifying and reducing inefficiencies. 

• Campaign ROI via high-quality analysis and insight-driven decision-making. 

• Year-over-Year Growth by supporting scalable analytics for a rapidly expanding business line. 

QUALIFICATIONS 

Required 

• 3-5 years of experience in business analytics, data analytics, or a related role. 

• Strong proficiency in SQL, with hands-on experience querying data in Snowflake. 

• Proven experience delivering insights that influence business decisions. 

• Ability to work independently on moderately complex analytical problems. 

• Strong communication skills with the ability to translate data into clear business narratives. 

Preferred 

• Experience supporting sales, marketing, or performance-based businesses. 

• Experience with dashboarding and visualization tools (e.g., Tableau, Looker, Power BI). 

• Familiarity with experimentation and A/B testing methodologies. 

• Experience partnering with product or engineering teams. 

Leveling & Growth Alignment (Internal Fit) 

This role is aligned to Business Analyst within LendingTree’s analytics job family: 

• Operates independently within a defined business area. 

• Owns analyses end-to-end with moderate complexity. 

• Partners closely with stakeholders and provides actionable recommendations. 

ABOUT LENDINGTREE

LendingTree is the nation’s leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit — from mortgages and personal loans to credit, savings, and insurance products. 

Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day.

About QuoteWizard

QuoteWizard, a division of LendingTree, helps consumers and insurance agents connect through a seamless online marketplace. More than 40 million people have used QuoteWizard to compare quotes and save on insurance. By combining technology, transparency, and expertise. QuoteWizard makes shopping for insurance simple and accessible — empowering people to make confident choices about their coverage. When you think of insurance, think QuoteWizard.

What else you should know:

• We’re a publicly traded company (NASDAQ: TREE).
• We’ve welcomed several other companies into the LendingTree family to expand our reach and capabilities.
• We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
• We’re also committed to giving back — through philanthropic programs, volunteer opportunities, and partnerships that strengthen the communities where we live and work.

The base pay range for this position in Seattle/New York/Colorado/California is $80,000-95,000 however, base pay offered may vary depending on internal factors, job-related knowledge, and experience.

Benefits: Medical, dental, vision insurance and 401(k) matching 

OUR CULTURE

We’re a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you’ll meet — and we celebrate innovation, inclusion, and ownership. At LendingTree, you’ll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another — with the flexibility and trust that help you thrive both personally and professionally.

We’re proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done” award is a fan favorite!)

Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.

QuoteWizard by LendingTree is the kind of company that not only promotes diversity and inclusion; we thrive because of these values. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation or military status.  

CCPA Disclosure

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $183,040 - $228,800

*This is a hybrid role

JR: 2025-7129

#LI-Hybrid

Who we are

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

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

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

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

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

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

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

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Your Impact

Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.

The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.

What You’ll Do

Hands-On Building & Upstream Data Cleanliness (~50%)

• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.

• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.

• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.

• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.

Mergers & Acquisitions Data Integration

• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.

• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.

• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.

• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.

Financial Controls, SOX & Audit Readiness

• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.

• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.

Enabling AI Builders & Process Owners

• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.

• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.

• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.

Partnership & Cross-Functional Leadership

• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.

• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.

What You Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.

• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.

• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.

• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.

• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.

• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.

• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.

Preferred Qualifications:

• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.

• High-growth, publicly traded technology company or digital transformation environment.

• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.

• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.

• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.

Benefits that Benefit You

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

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

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

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

Our Stack

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

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

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

We are seeking a highly strategic, engineering‑fluent Director, Technology Business Operations/Chief of Staff to operate the Office of the EVP, Technology & Engineering and amplify the impact of our technology leadership across a global Technology organization (500+ employees). You’ll translate strategy into execution, run the operating cadence, and drive cross‑functional alignment so Product Engineering, Data Collection Technology, AI/ML, Enterprise Technology, and Technology Operations deliver reliably against company priorities. You will combine technical depth with program rigor - able to interrogate proposals, shape architecture decisions, and accelerate outcomes on the most important bets. Success looks like a predictable operating system, sharper portfolio choices, and visible improvements in delivery velocity and reliability.

Primary Job Responsibilities:

• Serve as a thought partner to the EVP, shaping priorities, sequencing big bets, and maintaining a transparent risk & decision log
• Translate strategy into OKRs, KPIs, and investment theses; ensure capacity/headcount plans and budgets align to those bets
• Lead annual and quarterly planning (OKRs, capacity, headcount) and ensure roadmaps across Technology & Engineering functions
• Run the technical RFC process and technology review cadence; drive crisp design‑doc hygiene and decision records
• Partner with platform/data/ML/security leaders to ensure alignment across cloud strategy, data platforms (e.g., Snowflake), AI initiatives, and engineering metrics; elevate trade‑offs to the EVP when needed
• Lead build‑vs‑buy with TCO/ROI, risk, and vendor diligence (with Security/Legal); oversee platform migrations and critical technical partnerships
• Champion engineering health metrics (SLIs/SLOs, DORA, SPACE) and ensure telemetry informs resourcing and priority calls
• Build and run the cadence: weekly staff, technical deep dives, QBRs, leadership offsites; ensure agendas, narratives, and pre‑reads produce decisions
• Improve mechanisms that increase visibility, predictability, and accountability (dashboards, scorecards, postmortems, retros)
• Partner with Technology Operations, Finance, HR, Talent, Procurement, and Program Management on budgets, hiring pipelines, vendor management, and governance
• Maintain the enterprise technology portfolio and critical path; surface dependencies and resolve cross‑team trade‑offs quickly
• Oversee single point of ownership for initiatives
• Ensure oversight of tier-1 incidents; ensure incident RCAs drive systemic fixes
• Apply Agile, Lean, and Fast‑Flow principles to reduce lead time and improve flow efficiency across teams
• Craft EVP‑level communications: board/exec updates, town halls, technical narratives, and customer‑facing materials; ensure message‑market‑metrics alignment
• Serve as a proxy for the EVP in forums and decision meetings with pre‑agreed authority
• Represent the EVP, Technology in predefined forums (e.g., initiative reviews, architecture boards) and commit to direction when proposals meet agreed criteria
• Approvals: Recommend budget trade‑offs and vendor selections
• Lead change‑management initiatives in org design, hiring, and culture; model the company’s values
• Foster belonging, psychological safety, candor, and continuous improvement; promote clear ownership and decision‑making
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's or Master's in Computer Science, Computer Engineering, or similar
• 12+ years in technology roles (Engineering, Architecture, Product/TPM), including operating at senior levels in a 500+ employee tech org
• Demonstrated ability to evaluate technical designs (cloud architecture, data platforms, AI/ML services, security posture), interrogate trade‑offs, and align to strategic outcomes
• Track record running large cross‑functional programs in ambiguous environments; expert in OKR and portfolio governance
• Strong working knowledge of Team Topologies and organizing technology teams at scale
• Exceptional written/verbal communication and influencing skills; high EQ, professionalism, and discretion
• Hands‑on familiarity with cloud (AWS/GCP), data platforms (e.g., Snowflake), observability (SLIs/SLOs), CI/CD, and container orchestration
• Experience leading technology review processes; comfort with DORA/SPACE metrics and reliability practices
• Prior Chief of Staff or similar strategic leadership experience preferred
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. 

Compensation

• Annual base salary: $205,000-$275,000
• Target annual bonus percentage: 20%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

We are seeking a highly strategic, engineering‑fluent Director, Technology Business Operations/Chief of Staff to operate the Office of the EVP, Technology & Engineering and amplify the impact of our technology leadership across a global Technology organization (500+ employees). You’ll translate strategy into execution, run the operating cadence, and drive cross‑functional alignment so Product Engineering, Data Collection Technology, AI/ML, Enterprise Technology, and Technology Operations deliver reliably against company priorities. You will combine technical depth with program rigor - able to interrogate proposals, shape architecture decisions, and accelerate outcomes on the most important bets. Success looks like a predictable operating system, sharper portfolio choices, and visible improvements in delivery velocity and reliability.

Primary Job Responsibilities:

• Serve as a thought partner to the EVP, shaping priorities, sequencing big bets, and maintaining a transparent risk & decision log
• Translate strategy into OKRs, KPIs, and investment theses; ensure capacity/headcount plans and budgets align to those bets
• Lead annual and quarterly planning (OKRs, capacity, headcount) and ensure roadmaps across Technology & Engineering functions
• Run the technical RFC process and technology review cadence; drive crisp design‑doc hygiene and decision records
• Partner with platform/data/ML/security leaders to ensure alignment across cloud strategy, data platforms (e.g., Snowflake), AI initiatives, and engineering metrics; elevate trade‑offs to the EVP when needed
• Lead build‑vs‑buy with TCO/ROI, risk, and vendor diligence (with Security/Legal); oversee platform migrations and critical technical partnerships
• Champion engineering health metrics (SLIs/SLOs, DORA, SPACE) and ensure telemetry informs resourcing and priority calls
• Build and run the cadence: weekly staff, technical deep dives, QBRs, leadership offsites; ensure agendas, narratives, and pre‑reads produce decisions
• Improve mechanisms that increase visibility, predictability, and accountability (dashboards, scorecards, postmortems, retros)
• Partner with Technology Operations, Finance, HR, Talent, Procurement, and Program Management on budgets, hiring pipelines, vendor management, and governance
• Maintain the enterprise technology portfolio and critical path; surface dependencies and resolve cross‑team trade‑offs quickly
• Oversee single point of ownership for initiatives
• Ensure oversight of tier-1 incidents; ensure incident RCAs drive systemic fixes
• Apply Agile, Lean, and Fast‑Flow principles to reduce lead time and improve flow efficiency across teams
• Craft EVP‑level communications: board/exec updates, town halls, technical narratives, and customer‑facing materials; ensure message‑market‑metrics alignment
• Serve as a proxy for the EVP in forums and decision meetings with pre‑agreed authority
• Represent the EVP, Technology in predefined forums (e.g., initiative reviews, architecture boards) and commit to direction when proposals meet agreed criteria
• Approvals: Recommend budget trade‑offs and vendor selections
• Lead change‑management initiatives in org design, hiring, and culture; model the company’s values
• Foster belonging, psychological safety, candor, and continuous improvement; promote clear ownership and decision‑making
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's or Master's in Computer Science, Computer Engineering, or similar
• 12+ years in technology roles (Engineering, Architecture, Product/TPM), including operating at senior levels in a 500+ employee tech org
• Demonstrated ability to evaluate technical designs (cloud architecture, data platforms, AI/ML services, security posture), interrogate trade‑offs, and align to strategic outcomes
• Track record running large cross‑functional programs in ambiguous environments; expert in OKR and portfolio governance
• Strong working knowledge of Team Topologies and organizing technology teams at scale
• Exceptional written/verbal communication and influencing skills; high EQ, professionalism, and discretion
• Hands‑on familiarity with cloud (AWS/GCP), data platforms (e.g., Snowflake), observability (SLIs/SLOs), CI/CD, and container orchestration
• Experience leading technology review processes; comfort with DORA/SPACE metrics and reliability practices
• Prior Chief of Staff or similar strategic leadership experience preferred
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. 

Compensation

• Annual base salary: $205,000-$275,000
• Target annual bonus percentage: 20%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

We are seeking a highly strategic, engineering‑fluent Director, Technology Business Operations/Chief of Staff to operate the Office of the EVP, Technology & Engineering and amplify the impact of our technology leadership across a global Technology organization (500+ employees). You’ll translate strategy into execution, run the operating cadence, and drive cross‑functional alignment so Product Engineering, Data Collection Technology, AI/ML, Enterprise Technology, and Technology Operations deliver reliably against company priorities. You will combine technical depth with program rigor - able to interrogate proposals, shape architecture decisions, and accelerate outcomes on the most important bets. Success looks like a predictable operating system, sharper portfolio choices, and visible improvements in delivery velocity and reliability.

Primary Job Responsibilities:

• Serve as a thought partner to the EVP, shaping priorities, sequencing big bets, and maintaining a transparent risk & decision log
• Translate strategy into OKRs, KPIs, and investment theses; ensure capacity/headcount plans and budgets align to those bets
• Lead annual and quarterly planning (OKRs, capacity, headcount) and ensure roadmaps across Technology & Engineering functions
• Run the technical RFC process and technology review cadence; drive crisp design‑doc hygiene and decision records
• Partner with platform/data/ML/security leaders to ensure alignment across cloud strategy, data platforms (e.g., Snowflake), AI initiatives, and engineering metrics; elevate trade‑offs to the EVP when needed
• Lead build‑vs‑buy with TCO/ROI, risk, and vendor diligence (with Security/Legal); oversee platform migrations and critical technical partnerships
• Champion engineering health metrics (SLIs/SLOs, DORA, SPACE) and ensure telemetry informs resourcing and priority calls
• Build and run the cadence: weekly staff, technical deep dives, QBRs, leadership offsites; ensure agendas, narratives, and pre‑reads produce decisions
• Improve mechanisms that increase visibility, predictability, and accountability (dashboards, scorecards, postmortems, retros)
• Partner with Technology Operations, Finance, HR, Talent, Procurement, and Program Management on budgets, hiring pipelines, vendor management, and governance
• Maintain the enterprise technology portfolio and critical path; surface dependencies and resolve cross‑team trade‑offs quickly
• Oversee single point of ownership for initiatives
• Ensure oversight of tier-1 incidents; ensure incident RCAs drive systemic fixes
• Apply Agile, Lean, and Fast‑Flow principles to reduce lead time and improve flow efficiency across teams
• Craft EVP‑level communications: board/exec updates, town halls, technical narratives, and customer‑facing materials; ensure message‑market‑metrics alignment
• Serve as a proxy for the EVP in forums and decision meetings with pre‑agreed authority
• Represent the EVP, Technology in predefined forums (e.g., initiative reviews, architecture boards) and commit to direction when proposals meet agreed criteria
• Approvals: Recommend budget trade‑offs and vendor selections
• Lead change‑management initiatives in org design, hiring, and culture; model the company’s values
• Foster belonging, psychological safety, candor, and continuous improvement; promote clear ownership and decision‑making
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's or Master's in Computer Science, Computer Engineering, or similar
• 12+ years in technology roles (Engineering, Architecture, Product/TPM), including operating at senior levels in a 500+ employee tech org
• Demonstrated ability to evaluate technical designs (cloud architecture, data platforms, AI/ML services, security posture), interrogate trade‑offs, and align to strategic outcomes
• Track record running large cross‑functional programs in ambiguous environments; expert in OKR and portfolio governance
• Strong working knowledge of Team Topologies and organizing technology teams at scale
• Exceptional written/verbal communication and influencing skills; high EQ, professionalism, and discretion
• Hands‑on familiarity with cloud (AWS/GCP), data platforms (e.g., Snowflake), observability (SLIs/SLOs), CI/CD, and container orchestration
• Experience leading technology review processes; comfort with DORA/SPACE metrics and reliability practices
• Prior Chief of Staff or similar strategic leadership experience preferred
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. 

Compensation

• Annual base salary: $205,000-$275,000
• Target annual bonus percentage: 20%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

The role:

We are seeking a Senior Financial Systems Analyst who will support Workday on a day-to-day basis focusing on unlocking its vast reporting possibilities. This is an exciting role for someone to make a direct impact at SoFi by shaping our processes and providing reporting solutions to help drive visibility, while also playing a key role in our implementation of Workday Financials.

Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: You are an expert in Workday Financials and also understand data flows/SQL/Tableau, while also having the ability to step back and understand the business needs. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.

This position will be part of the Business Intelligence and Systems team within Accounting Controllership.

What you’ll do: 

• Support Workday Financials through configuration of business process, condition rules, validations
• Create and maintain complex Workday financial reports
• Participate in bi-annual Workday release regression testing and uptake of new features.
• Stay updated on the Workday roadmap and propose changes and solutions in areas of focus.
• Act as a technical expert and support the broader finance team in Workday reporting
• Develop strong collaborative relationships with the Finance, Engineering, People orgs and across the company, with a specific focus on our Workday integrations
• Leverage Workday and other tools and systems to design, develop & deliver robust and scalable reporting
• Perform daily administrative and production support tasks as required
• Develop and deliver training on SoFi’s financial business processes and use of Workday
• Be part of a great team, but capable of operating independently - managing relationships, deliverables and expectations with your business partners
• Be personable, approachable and able to connect with each and every person on the team and throughout the business
• Remain detail-oriented while working across a variety of projects

Who are you:

• Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners
• Expert in Financial Management Systems, with an understanding/vision of how to architect the perfect solution
• Experience with Database Management systems (SQL) who enjoys solving complex problems
• Experience with front-end reporting tools (Tableau)
• Strong ability to project manage and to remain detail-oriented while working with numerous stakeholders
• Strong analytical, problem solving and critical thinking skills
• High EQ with ability to influence outcomes and communicate technical content to general audiences
• Knowledge of the banking space a strong plus

What you’ll need:

• Bachelor's degree required, preferably in Mathematics, Computer Science, Statistics or a Business related degree (Masters a plus)
• 5+ years of work experience
• 2 + years of experience configuring and supporting a combination of at least 2 of the following modules: Supplier accounts, Customers, Projects and Billing, Business Assets, Expenses,  Banking and Settlement, Financial Accounting and Accounting Center
• Subject matter expert on:
• Workday Financial Reporting (Advanced, Matrix)
• At least one of the modules: Supplier Accounts, Customers
• Experience required:
• Multiple subsidiary structure and working with different functional currencies
• ETLs/ELTs related to Workday integrations
• SOX Compliance
• Experience preferred:
• Workday Pro Certifications
• Workday Financial Reporting (Composite, Discovery Boards, Prism, Office Connect)
• Consolidations
• FDM design, deployment, and maintenance
• SQL (Snowflake)
• Tableau
• Finance planning tools (ex: Planning analytics (TM1))
• Alteryx
• Integration platforms such as Fivetran or Mulesoft
• Jira / Confluence  or other Scrum Management tools
• Strong verbal and written communication skills
• Spanish fluency a plus
• Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners

The Role:

One-Stop-Shop Financial Security.

At SoFi, our mission is to help our members achieve financial independence. Life insurance is a critical, yet often neglected, piece of that puzzle. We want to do more than protect our member’s hard earned money by "selling insurance"; we want to leverage our Member’s financial needs to provide instant, pre-approved protection to our 11M+ members based on their existing financial profiles.

As a Senior Product Manager, you will lead the "SoFi Protect - Life Insurance" roadmap, integrating life insurance deeply into our lending and banking ecosystems to create a seamless, high-conversion experience.

What You’ll Do: 

• Product Experience Master: Own the end-to-end "Quote-to-Purchase" Life Insurance journey and connect this benefit to the holistic SoFi “get your money right” mission. 
• Application UX: Work with data scientists to determine how to streamline the application experience. If we can get a data point from a third-party API (like MVR or Rx history) instead of asking the user, you make that happen.
• Rapid Experimentation: Run a high-velocity testing roadmap. You’ll test everything from "Life Milestones" UI components to different sequencing of application questions to drive the highest completion rate.
• Third-Party Orchestration: Manage the technical and business relationships with our carrier partners, to ensure that our API integrations are robust, low-latency, and highly scalable.
• Product-Led Growth (PLG): Build "viral loops" and referral mechanics. How do we drive awareness and adoption through the financial services productivity loop?
• Mobile-First, AI-First Innovation: Optimize the experience for mobile devices and leveraging AI to make the experience easier for members (e.g. ensure our document collection / verification experience is easy and best-in-class).

What You’ll Need: 

• Experience: 5 - 8 years in Product Management, with at least 4 years in a high-growth InsurTech or FinTech environment.
• Data & AI Fluency: Expert-level ability to use data (SQL, Snowflake, Amplitude) to identify drop-off points in the funnel and build personalized member journeys. Leverage AI tooling for prototyping 
• Regulatory Awareness: Familiarity with FINRA, SEC, and State Insurance Department regulations. You know how to innovate while staying "inside the lines."
• The "SoFi Way": A "Get It Done" attitude. You are comfortable in a fast-paced environment where priorities can shift based on market opportunities.

SoFi is seeking an experienced and motivated Senior Staff Data Engineer to be the technical leader of our Data Engineering group within the SoFi Data Platform(SDP) division. The mission of the SDP division is to activate data throughout SoFi, enabling the creation of personalized and delightful experiences for our members. 

The Role:

In this role, you will have the opportunity to directly impact, influence and lead the direction and architecture of our next gen AI powered SoFi Data Platform(SDP), and elevate data reliability through AI enabled workflows, tooling and practices. You will get the chance to lead, define, and take on complex and interesting problems as part of a fast-paced, highly collaborative organization. The ideal candidate will be a mentor, technical leader and a team player who is hands-on and comfortable driving solutions from initial architecture to implementation and adoption with a strong sense of ownership and drive for delivery. 

What You’ll Do: 

• Technical Leadership & Strategy: As a technical leader, you will be at the heart of SoFi’s data platform providing primary technical authority and strategic guidance to the data engineering group. 
• Architectural Excellence: Lead the architecture and delivery of large-scale, high-performance data pipelines and processing frameworks. Design scalable data models that support analytics, AI/ML and real-time data needs.
• Platform Innovation: Drive the adoption of cloud-native technologies, automation frameworks and reusable components that improve development velocity and system reliability across SDP.
• System Optimization: Drive org-wide initiatives to improve data reliability, cost-efficiency, and latency. Design solutions that scale horizontally and vertically to handle ever-growing datasets.
• Cross-Functional Collaboration: Partner with business stakeholders, product and engineering leads to align the data roadmap with SoFi’s business objectives. 
• Governance & Security: Lead the implementation of sophisticated data privacy, security, and compliance frameworks. Enforce data governance policies and practices to maintain data integrity in a highly regulated environment.
• Mentorship: Provide deep technical coaching and mentorship to Staff and Senior data engineers, fostering a culture of continuous learning, rigorous testing, and engineering excellence.
• Workforce Development: Contribute to hiring and training efforts to build a skilled and motivated data engineering workforce. Lead the interview process for senior-level talent and design onboarding programs that accelerate engineering productivity.
• On-Call Support: Be part of an on-call support rotation to support the critical production systems.

What You'll Need: 

• Education: A bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• Experience: Over 12 years of experience in data engineering and analytics, with at least 4 years in a staff-level or higher capacity. A proven track record of successfully leading enterprise-wide data modernization efforts.
• Tech Stack Mastery: Mastery of the modern data stack: Snowflake / Python / SQL / GitLab / AWS / Airflow/ AI tools like Claude code/Cursor. Understanding and implementation experience of AI agents is a plus.
• Cloud Architecture: Expert-level proficiency in relational and cloud database platforms (Snowflake, Redshift, or GCP) and distributed processing frameworks (Hadoop, Spark, or Kafka).
• Strategic Thinking: Thorough knowledge and passion for data modeling (Kimball/Data Vault), database design, and data architecture principles. Ability to simplify complex, ambiguous issues into actionable technical plans.
• Communication: Exceptional ability to communicate complex technical concepts and trade-offs to non-technical stakeholders and senior management.

Domain Knowledge: Deep experience in a highly regulated and governed sector; experience in the Fintech industry is highly advantageous.

The Role

At SoFi, we’re on a mission to help our members get their money right. We are seeking a Principal Product Manager to lead the strategy and roadmap for our Fraud, Risk & ML Platform. This platform is the unified foundation for event-driven decisioning, risk-based interdictions, real-time feature stores, and self-serve ML capabilities across the enterprise.

You will shape SoFi’s risk and ML future, transforming complex backend processes into a seamless, self-serve platform that powers real-time decisioning for every SoFi product. Your goal is to accelerate organizational adoption of machine learning and expedite business growth by simplifying the integration of complex risk defenses that protect our members and the business.

What You’ll Do

• Strategic Roadmap: Own the multi-year vision for the Fraud, Risk & ML Platform, focusing on self-serve onboarding, reliability at scale, and superior developer experience.
• The "Model Factory": Direct the MLOps lifecycle to reduce model time-to-market from months to weeks. You will enable teams to build, deploy, and monitor ML models at enterprise scale.
• Platform Integration: Partner with internal product teams to identify friction in platform adoption and build features that eliminate integration pain points.
• Stakeholder Alignment: Drive onboarding for Fraud, AML, and Policy Engine use cases by aligning with Fraud, Risk, Data Science, and Infrastructure stakeholders on usage patterns, signals, features, and treatments, and guide execution teams to successfully deliver on those goals.
• Platform-as-a-Service: Drive Developer Experience (DX) as a core product feature; define clean APIs, versioning, SLAs, and documentation to reduce critical-path dependencies.
• Governance & Scalability: Establish a federated extension model for custom events, features, challenges, & actions to enable safe extensibility and cross-product reuse.
• Metrics & Impact: Define and track success metrics, including time-to-onboard, model deployment velocity, decision quality (e.g. precision/recall/F1), step‑up completion/abandon rates, and platform reliability.
• Flex into adjacent fraud initiatives, helping cover the gray space between domain detection/prevention improvements and platform onboarding/utilization.
• Evangelism: Educate partner teams on platform capabilities to ensure SoFi is fully leveraging centralized infrastructure rather than building bespoke silos.

What You’ll Need

• 7+ years of Product Management experience: with a focus on platform, infrastructure, or developer-facing products
• Technical fluency: Deep familiarity with APIs, event-driven systems (sync/async), high-throughput data pipelines, ML lifecycle (training, features, deployment, monitoring), risk decisioning engines/workflows
• ML Infrastructure: Proven experience operationalizing models in production using tools like Snowflake, Flink/streaming, Kafka, or AWS/SageMaker
• Platform mindset:  A strong bias for normalization and generic, self-serve capabilities over bespoke builds.
• Exceptional Communication & Evangelism: ability to translate complex risk policy, business goals, and technical constraints into precise platform requirements, while rallying teams around a clear, forward-looking platform roadmap and strategy.
• Adaptive leadership: team‑first, able to navigate the gray space between domain‑specific fraud detection and horizontal platform utilization
• Direct experience with fraud and risk detection and prevention challenges and techniques. 

Nice to Have

• Experience with risk decisioning, rules engines, risk mitigations and step-up challenges. 
• Experience in FinTech or highly regulated financial environments.
• Background in building or scaling Generative AI for task‑automating agents (agentic workflows)
• Direct experience partnering with Data Science and MLEs to productionalize real-time scoring.

We are looking for a highly strategic and technically strong Staff Data Scientist to join the Member Data Science team, focused on driving engagement and long-term member value, specifically for our subscription premium program, SoFi Plus. This role will be responsible for deeply understanding the drivers of engagement, retention, and subscription value across the SoFi ecosystem. You will define and own engagement measurement frameworks, lead high-impact analytical deep dives, design causal experiments, and develop scalable data and modeling solutions that inform product strategy for SoFi Plus. 

The Member Organization builds engaging and personalized experiences for our members across our product lines. As a Staff Data Scientist, you will operate as a data thought partner to Product, Engineering, Lifecycle Marketing, and Leadership. You will shape the engagement roadmap through insights on activation, feature adoption, habit formation, churn risk, subscription upgrades/downgrades, and long-term member value. You will proactively identify the most impactful opportunities to improve subscription engagement and revenue, and ensure we are making disciplined, data-informed investment decisions.  This role requires strong technical skills (SQL, Python/R, Tableau, Statistics), deep expertise in metrics, segmentation, A/B testing, and strong collaboration.

This is a highly cross-functional and high-visibility role with direct impact on member experience and recurring revenue growth. This is an exciting role for someone to make a direct impact on the company's growth trajectory and member experience.

Responsibilities:

• Design and implement data collection and processing pipelines
• Develop and apply machine learning models to solve business problems. Translate modeling outputs into actionable business strategies.
• Strong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reports
• Evaluate and interpret the results of data analysis
• Communicate findings to influence technical and non-technical stakeholders
• Stay up-to-date on the latest data science techniques and technologies
• Build data pipelines to deploy production level datasets
• Proven experience building scalable dashboards and executive-ready reports that measure product performance, subscription health, and engagement KPIs, and effectively translate insights into actionable business recommendations.
• Experience with leveraging LLMs or other AI solutions to develop analytical tools.

Qualifications:

• Master’s degree or higher in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or related quantitative field.
• 7+ years of experience leveraging data-driven analysis to influence product and business strategy, ideally in a tech or subscription-based company.
• Deep expertise in:
• Retention and engagement analytics
• Cohort and lifecycle analysis
• Subscription metrics (churn, LTV, ARPU)
• Experimental design and causal inference
• Strong proficiency in SQL, experience with visualization tools (e.g., Tableau) and python.
• Experience building data pipelines using DBT and orchestrating workflows with Airflow in Snowflake environments.
• Proven experience developing and deploying machine learning models in production with monitoring frameworks.
• Strong understanding of subscription economics and revenue optimization.
• Demonstrated ability to work independently in ambiguous environments and drive measurable business impact.
• Excellent communication skills, including the ability to present complex technical findings to executive audiences.
• Track record of mentoring junior data scientists and elevating team standards.

The role

We are seeking a Staff Software Engineer, AI to join the Member Growth organization with the mission of bringing the value of AI to SoFi Members. This role will be pivotal in supporting our members’ financial journeys through advanced personalization and AI-driven solutions, and lead the development of internal frameworks, tools, and applications that bring cutting-edge capabilities to our marketing, communications, and measurement systems.

Our goal is to help members navigate their path to financial independence by providing the specific tools, resources, and guidance they need to succeed. We aim to be a trusted partner in their financial lives, delivering timely, tailored insights that build long-term confidence. Achieving this requires a thoughtful, highly personalized approach to every user’s unique financial needs.

The ideal candidate possesses a deep understanding of Artificial Intelligence (AI) and Machine Learning (ML) systems, paired with a passion for building next-generation products. At SoFi, we pride ourselves on the seamless collaboration between Product, Design, and Engineering; as such, you will be involved in the entire product lifecycle—from initial ideation to deployment and iterative evolution. We are committed to a philosophy of continuous learning, and we expect you to be equally dedicated to your own professional growth and the mentorship of your fellow team members.

What you’ll do

• Drive technical architecture, design decisions and cross-functional discussions for AI and ML-based solutions

• Deliver highly available and scalable services in a production environment

• Lead the design, development and testing of systems

• Lead code and system design reviews

• Help translate product requirements into user stories and technical solutions

• Mentor other engineers, support the technical culture, and help grow the team

• Generate ideas for new initiatives and technologies

• Communicate with product managers, data scientists, data engineers, and other software developers

• Consistently demonstrate extremely high levels of technical knowledge, ingenuity, and creativity

• Develop and apply advanced technologies, engineering principles, theories, and concepts

• Take initiative and produce timely results in a fast-paced and sometimes ambiguous environment

What you’ll need

• Bachelor’s Degree in Computer Science or related field, or equivalent experience

• 8+ years programming experience on a modern stack with expertise in Python 

• Experience working with new technologies in the AI stack, such as building Agents, creating MCP servers, fine tuning models, prompt engineering, and performance evaluation

• Experience working with applications that leverage Large Language Models (LLMs), such as integrating LLMs, designing prompts, or exploring their practical applications

• Our core stack is Java/ Kotlin/ Spring/ AWS/ Snowflake, and we run on Kubernetes in a cloud-native service oriented architecture. You should be comfortable developing using some or all of these technologies

• You should have worked on a SOA or microservice-based application

• Strong sense of ownership; driving a project from inception to completion

• Pragmatic approach towards handling tech debt versus shipping new features

• Experience working in a collaborative coding environment, refining designs together, working through code reviews and managing pull requests

We’re looking for a highly skilled Senior Data Scientist to play a pivotal role on the Member Data Science team, focused on driving and accelerating member growth across a broad set of member growth initiatives. This role will be instrumental in establishing measurement frameworks and analytical infrastructure to support growth strategies end to end. Key responsibilities include defining success metrics, building tracking systems, designing experiments, conducting customer segmentation and price elasticity analyses, and optimizing member acquisition economics with propensity models. The Member Organization builds engaging and personalized experiences for our members across our product lines.

As a Sr. Data Scientist on the Member Growth pillar, you will be responsible for defining and owning core growth KPIs, building and maintaining reliable dashboards and reporting to track performance, and establishing clear success metrics across the growth funnel. You will conduct deep-dive analyses such as customer segmentation, funnel analysis, A/B testing, and elasticity or trade-off evaluations to identify levers that optimize conversion, and become an SME in our member referral program. You will develop models (e.g., propensity or uplift models) to inform targeting, prioritization, and investment decisions across growth initiatives. This role requires strong technical skills (SQL, Python/R, Tableau, Statistics), deep expertise in metrics, segmentation, experimentation, and strong collaboration.

This role is inherently cross-functional, you will work closely with engineering, product managers, lifecycle marketing, data science, design, operations, finance, and executive teams to set growth objectives, define referral program strategy, prioritize features, provide insights, and execute on them. This is an exciting role for someone to make a direct impact on the company's growth trajectory and member experience.

Responsibilities:

• Design and implement data collection and processing pipelines

• Develop and apply machine learning models to solve business problems

• Strong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reports

• Evaluate and interpret the results of data analysis

• Communicate findings to influence technical and non-technical stakeholders

• Stay up-to-date on the latest data science techniques and technologies

• Build data pipelines to deploy production level datasets

Qualifications:

• Bachelor’s degree required (Master’s preferred) in Computer Science, Math, Physics, Engineering or quantitative field. 

• 4+ years of relevant work experience 

• Strong programming skills in SQL, Python/R and proficiency in Tableau

• Proven experience creating dashboards and reports that drive business decisions

• Experience with using DBT, Airflow to build Data Pipelines in Snowflake

• Experience with experimental design/interpretation, A/B testing, quasi-experimentation for causal inference

• Experience with data mining, descriptive analytics, defining KPIs, machine learning, statistical modeling, and predictive modeling concepts.

• Experience with funnel analysis, cohort analysis, and segmentation

• Demonstrate strong business acumen and curiosity, with excellent communication and presentation skills, including the ability to present to leadership.

• Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion 

• Exceptional problem-solving skills

• Influence outcomes and communicate technical content to general audiences 

• Work independently in a dynamic, cross-functional environment, with strong attention to detail and the ability to be a team player.

• Prepare comprehensive data reports and make insights easy to understand.

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

The Navigator team sits within PitchBook's product organization and is the primary driver of the company's Integrated AI Platform strategy. The team is building the foundational experience layer through which all AI-native workflows will be delivered: a persistent workspace, an agent routing engine, and a growing suite of workflow agents that serve sourcing, portfolio, and research use cases.

We are seeking a product management leader to lead strategy, execution, and the team responsible for Navigator, PitchBook's AI platform experience. This leader owns the product strategy and roadmap — including the conversational interface, agent routing architecture, persistent workspace, and the specialist agents that serve user workflows end to end. You will manage and develop a team of product managers, partner closely with Engineering, Design, Data Science, and Commercial teams, and serve as a key voice in PitchBook's broader AI strategy. This role requires a rare combination of AI product intuition, private markets domain knowledge, and the leadership presence to drive a high-velocity, high-stakes initiative across a large cross-functional organization.

Primary Job Responsibilities:

• Own Navigator product strategy and vision. Define and communicate a compelling multi-quarter vision and roadmap for Navigator's agentic platform — including the conversational interface and various workflow agents
• Lead and grow a high-performing Product Management team. Hire, mentor, and manage a team of product managers, fostering a culture of customer empathy, data-driven decision-making, and continuous improvement. Evaluate Product Manager quality and develop role expectations as the team scales
• Drive delivery of complex and cross-functional roadmaps. Partner with Engineering, AI/ML, Design, and Data leaders to execute against roadmap commitments with speed and quality. Remove blockers, manage dependencies, and maintain clarity and momentum across a large and distributed team
• Define and measure business outcomes. Own clear success metrics for Navigator engagement, retention, and competitive differentiation. Build and interpret performance dashboards, validate impact post-launch, and continuously improve prioritization based on evidence
• Shape PitchBook's AI product narrative. Act as a subject matter expert and internal thought leader for Navigator and agentic AI product strategy. Represent Navigator's direction to across internal and external stakeholders with clarity and conviction
• Drive cross-functional alignment and stakeholder management. Build strong relationships with Commercial, Customer Success, Engineering, and Data leadership. Proactively communicate priorities, manage trade-offs, and maintain trust across a broad set of senior stakeholders
• Contribute to team culture and organizational health. Support the vision and values of the company through role modeling, encouraging desired behaviors, and participating in hiring, onboarding, and team-building efforts
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor’s degree with strong academic performance in Computer Science, Math, Statistics, Finance, Accounting, or related field 
• 8+ years of product management experience within SaaS, enterprise, or cloud-based solutions 
• 4+ years managing or mentoring product managers 
• Strong fluency with data: ability to build dashboards, interpret behavioral analytics, define success metrics, and validate product impact (e.g., Mixpanel, Snowflake, or equivalent)
• Proven ability to define and communicate compelling product vision and roadmaps across multi-quarter and multi-team initiatives
• Excellent communication and narrative skills with the ability to craft and deliver clear, compelling presentations to executive leadership, commercial partners, and engineering teams alike
• Experience leading and developing Product Management teams in fast-paced and high-ambiguity product environments
• Proficiency with the Microsoft Office suite and modern product/collaboration tooling (Jira, Confluence, Figma, etc.)
• Demonstrated track record delivering AI/ML or conversational AI products in B2B SaaS environment
• Understanding of agentic AI system architectures — including LLM orchestration, retrieval-augmented generation, and multi-agent patterns — sufficient to make sound technical trade-offs and credibly partner with engineering leadership
• Passionate about or experienced in private capital markets — including venture capital, private equity, M&A, or related financial services — with an understanding of how dealmakers source, diligence, and monitor investments
• Experience influencing senior leadership through data-driven insights
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. 

Compensation

• Annual base salary: $211,000-$240,000
• Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

The Financial Platform Eng team is part of Block's platform engineering org, with a mandate to run the foundational financial technology infrastructure supporting all our brands. Our charter includes building scalable, reliable, and forward-looking financial infrastructure, from revenue streams to reconciliations to GL to street reporting. This team powers key business functions spanning the CFO org and aids at strategic decision-making.

As a Software Engineer, you'll design and build the backend services, integrations, and workflow engines that keep the foundational financial operations running. Often you will focus on transforming complex financial requirements into scalable technology solutions — with a specific emphasis on AI enablement. We are an AI-driven engineering team — we use agentic coding tools across our entire development lifecycle, from design exploration through implementation and review, and we expect every engineer to do the same.

Success in this role depends on strong collaboration with cross-functional partners including Accounting, FP&A, Tax, Procurement, Product, TPMs, Engineering, and Data teams. The ability to operate across these verticals while maintaining a horizontal architectural perspective is key to our impact.

You Will

• Build financial operations and reporting infrastructure — Design and implement backend services for Accounting, FP&A, Tax, Procurement while keeping the company compliant.
• Lead a platform migration — Architect the migration of business-critical workflows from legacy vendor platforms to Block's internal systems, ensuring zero disruption to agents and customers during cutover
• Design workflow and automation systems — Build configurable workflow engines, rules-based routing, and event-driven automations that reduce manual effort and scale across multiple business lines
• Own integrations end-to-end — Design, build, and maintain integrations between internal platforms and external systems ( middleware, workforce management, Oracle fusion, Salesforce etc) using APIs, event streams, and messaging patterns
• Partner across the business — Work directly with operations, compliance, and product stakeholders to translate complex financial and regulatory requirements into well-architected technical solutions
• Ensure compliance and data integrity — Build systems with audit trails, access controls, and data governance baked in — not bolted on — to meet regulatory requirements across multiple jurisdictions
• Lead technical discussions — Drive architecture decisions, contribute to design reviews, and mentor engineers; raise the bar on code quality, testing, and operational reliability
• Direct AI agents across the full development lifecycle — from prototyping and implementation to debugging and code review — operating as the architect and decision-maker while AI handles the building
• Expand what's possible with AI tooling — identify opportunities to automate repetitive engineering work, improve code quality through AI-driven review, and share effective patterns with your team

You Have

• Embrace an AI-first mentality. Leverage AI to augment your knowledge and capability in navigating development in complex systems with confidence.
• Familiar with agentic engineering.
• 6+ working on complex systems and delivering quality software, with clear expertise developed in one or more technical areas.
• Strong fundamentals in distributed systems design — you've built services that handle high throughput, manage state across systems, and degrade gracefully
• Experience with workflow or state machine systems — you've designed systems where entities move through complex lifecycles with branching logic, SLAs, and human-in-the-loop steps
• Proficiency in building and maintaining APIs and integrations — REST, gRPC, event-driven architectures, and data synchronization across multiple platforms
• Experience working on financially sensitive or regulated systems — you understand why idempotency, audit trails, data retention, and access controls matter and you build for them by default
• Strong collaboration skills and the ability to work effectively with non-technical stakeholders — translating ambiguous business requirements from operations, compliance, and risk teams into well-scoped engineering work

• A growth mindset and comfort navigating open-ended problems where the "right" answer depends on business context that's still evolving.
• Contributed to the growth of fellow engineers through technical leadership, mentoring, and setting engineering standards
• Demonstrated fluency with AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot, or similar agentic coding tools) in real production work — not just familiarity, but regular, effective use
• You stay current on the rapidly evolving landscape of AI tooling and actively experiment with new capabilities as they emerge

• Curiosity that pushes you to find flaws in complex systems and take whatever steps are necessary to fix them.
• Resilience to persevere in complex situations across multiple axes: e.g., scale, uncertainty, and interconnectedness.
• Self-directed and comfortable with ambiguity, with a willingness to publish your reasoning and be wrong publicly—which is essential for thriving in our transparent DRI/IC model

Nice to Have

• Experience with platform migrations — moving business-critical systems between platforms with zero customer impact and phased rollout strategies
• Background in financial services domains — accounting, revenue forecasting, treasury operations, tax operations.
• Experience building multi-tenant or multi-BU platforms — systems that serve different business lines with shared infrastructure but configurable behavior
• Experience with operational analytics — building data pipelines or reporting systems that give operations leaders real-time visibility into performance

Technologies We Use and Teach

• AI-Driven Development: Claude Code, Goose (Block's open-source AI agent), Cursor, GitHub Copilot, Anthropic's Model Context Protocol (MCP)
• Languages: Kotlin, Java, Python, JavaScript
• Protocols: HTTP, JSON, gRPC, Protocol Buffers
• Data: DynamoDB, MySQL, Kafka, Snowflake
• Infrastructure: AWS, Kubernetes
• Observability: DataDog, Prometheus
• Feature Management: LaunchDarkly

Who we are

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

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

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

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

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

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

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

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

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

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

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

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Senior Salesforce Engineer in our Engineering Revenue Platform division, you will design, build, and optimize scalable, integrated solutions powering our Support, Account Management, and Quote-to-Cash technology stack. You’ll ensure seamless platform integration and peak performance, with a strong emphasis on backend and data-driven solutions. 

In this role, you’ll partner with stakeholders to identify opportunities, architect solutions, and implement enhancements that improve efficiency, scalability, and business outcomes. With a focus on future-ready solutions, you will lead AI initiatives and   
lead your team in learning and building AI applications. You’ll also mentor engineers, provide technical leadership, and help shape the future of our revenue platforms in a fast-paced, collaborative environment. 

You will simplify and reinvent systems, processes, and tools playing a critical role in ensuring our systems are robust, integrated, and aligned with the company's strategic objectives. You will leverage your deep knowledge of Support, Account Management, and Finance domain and tools to build end-to-end solutions across customer support, account management, quote-to-cash, billing, revenue modeling, pricing, commissions, deal execution, and payment collection integrating with external systems like Oracle, Informatica, and Salesforce, Sidetrade, Stripe.   

You will work with a team of talented engineers responsible for driving improvements, defining technical initiatives to drive excellence and bring thought leadership to manage availability, latency and performance of our mission critical tools, services across Finance technologies. 

You’ll train and mentor team members, identify and resolve impediments, oversee the integrity of software estimations, and ensure that code and tests meet high standards while keeping scalability, reliability, and maintainability in mind. 

You are skilled at understanding the needs of customers, internal finance, sales, and account management teams, and translating them into robust business requirements for Salesforce CRM configuration and development. Experienced in managing change processes and driving clear, consistent communication across stakeholders. 

Primary Job Responsibilities: 

• Design, develop, and maintain automation solutions for revenue platforms, ensuring high-quality, scalable, and maintainable code
• Dive into backend development to align implementations with best practices
• Oversee the health, performance, and integration of Salesforce (Service Cloud, Experience Cloud, and Quote-to-Cash) and related systems across Support, Account Management, Sales, and Finance including but not limited to Oracle, Stripe, Sidetrade, Informatica, Snowflake, Workato
• Lead initiatives to enhance system performance, scalability, stability by providing high quality support and maintenance
• Drive adoption of best practices in automation, web services, test automation, and cloud-native delivery
• Guide technical direction, mentor engineers, and support professional development across the team
• Partner with Products, EMs and Finance teams to translate complex technical concepts into actionable business solutions 
• Align engineering priorities with strategic company objectives
• Ensure accuracy in software estimations and adherence to performance, reliability, and security standards 
• Identify and resolve blockers to ensure projects are delivered on time and within scope 
• Evaluate and adopt new tools, processes, and systems to keep our revenue technology stack at the forefront 
• Promote a culture of continuous improvement and innovation 
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 7+ years of Salesforce development experience, specializing in integration and workflow automation across Support, Account Management, Sales, Customer Success, and Finance technology stacks. Skilled in workflow automation and integration tools such as Workato and experienced in integrating with third-party packages and services 
• Proficiency in Apex, Java, Python, or JavaScript
• Good understanding of Salesforce AI ecosystem including Agentforce 3 and AI agents 
• Deep understanding of the Salesforce ecosystem including Service Cloud, Experience Cloud, CPQ, Revenue Cloud, and Sales Cloud; hands-on experience with APEX and configuration tools like Flows. Salesforce certification is a plus  
• Strong grasp of the full software development lifecycle (SDLC), Agile methodologies, DevOps principles, and CI/CD pipeline management including Gearset and Gitlab
• Proven track record in designing and delivering scalable, reliable, stable, and secure backend solutions
• Excellent problem-solving, communication, and stakeholder management skills
• Experience in financial services or B2B platforms is a plus 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $145,000-$180,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-DT1

#LI-Onsite

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud,  built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, and Melbourne, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

At Amperity, we’re accelerating our AI strategy to redefine what’s possible in customer intelligence, activation, and enterprise-scale personalization. This role will own and articulate the AI product vision that differentiates our platform, spanning predictive modeling, LLMs, intelligent automation, and advanced personalization, and guide how these capabilities transform core customer workflows across industries. As the senior leader for Amperity’s AI portfolio, you will set the company’s AI principles and operating mechanisms, partner deeply with Engineering, GTM, and our customers, and represent Amperity’s AI strategy both internally and in the broader market. This role reports to the Chief Product Officer and will play a critical role in shaping the future of Amperity’s AI-driven platform.

Interesting Problems

• Define the multi-year AI product strategy that differentiates Amperity’s platform, drawing from customer insight, market trends, and emerging AI research
• Establish and champion Amperity’s AI principles, responsible AI criteria, and product philosophy across the company
• Drive long-range planning, portfolio prioritization, and investment decisions across all AI and ML product surfaces
• Own the product lifecycle for AI-powered capabilities, from ideation through delivery, scale, and continuous improvement.
• Lead the integration of LLMs, predictive models, personalization engines, and intelligent automation into core workflows across data onboarding, identity resolution, segmentation, analytics, and activation.
• Translate complex ML capabilities into accessible, intuitive user experiences that drive adoption across technical and non-technical users.
• Ensure all AI features balance performance, explainability, safety, and reliability.
• Contribute to Amperity’s external thought leadership through publications, talks, and collaboration with academic or industry research partners.
• Partner closely with Engineering and GTM to deliver world-class AI products at scale.
• Influence executive stakeholders—Engineering, Product, Sales, CX—on AI tradeoffs, opportunities, and required investments.
• Build alignment with customers, prospects, and partners, representing Amperity’s vision for AI in the market.
• Shape operating mechanisms that ensure your organization delivers efficiently and consistently.
• Represent Amperity’s AI strategy externally through talks, publications, strategic customer conversations, and analyst engagements.
• Identify and nurture relationships with research, enterprise, and ecosystem partners to expand Amperity's AI capabilities.

About You

• 12+ years of experience in product management, AI/ML platforms, data platforms, or enterprise SaaS—with deep experience leading AI-centric product lines.
• Proven track record driving product strategy for large, data-intensive, or AI-driven products with enterprise customers.
• Strong technical fluency with ML concepts—able to partner deeply with engineering teams on topics such as:
• entity resolution & probabilistic modeling
• LLMs and RAG systems
• predictive modeling and personalization
• data governance, model evaluation, and responsible AI
• Demonstrated ability to define and achieve measurable business outcomes, with experience in revenue-linked KPIs.
• Significant experience operating cross-functionally in complex organizations and influencing executive stakeholders.
• Experience working in MarTech, AdTech, or customer data platforms.
• Prior experience scaling AI features within cloud or data-intensive environments (AWS, Databricks, Snowflake, GCP, Azure).
• Advanced degree in Computer Science, Data Science, Engineering, or equivalent practical experience.

Location

Seattle, WA 

Our hybrid work model includes three days in the office each week, providing a mix of in-person collaboration and remote flexibility

Compensation

Base Salary:  $200,000-$280,000. Within our pay range, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, internal equity, as well as candidate qualifications such as skills, experience, and education/training. 

Cash Incentives: Cash incentives are also available.

Stock Options:  The opportunity for ownership is an exciting part of Amperity’s total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.

Benefits

We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence. For more details on our benefits, please see our US Benefits & Perks Guide.

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We pursue society’s most critical safety and justice issues with an ecosystem of cutting-edge devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities, and each other.
Life at Axon is fast-paced, challenging, and deeply rewarding. Here, you’ll take ownership and drive real change. You’ll grow constantly as you solve meaningful problems for a mission that matters at a company where you matter.

Your Impact

Join Axon’s Business Solutions team as a Business Solutions Architect / Product Manager responsible for Axon’s Finance Systems portfolio. This role owns delivery and ongoing product management for critical finance platforms that support close, consolidation, revenue recognition, compliance, and financial reporting. In the near term, you will lead two high-visibility initiatives: the implementation of Axon’s Finance & Accounting Consolidation platform and a major RevStream upgrade. Over time, you will operate as the product owner for assigned finance systems, shaping roadmaps, prioritizing investments, and ensuring measurable business outcomes across Finance. You will partner closely with Finance, Accounting, Revenue Operations, Tax, IT, Engineering, and Enterprise Architecture. You own what gets delivered and why; technical teams own how it is built.

What You’ll Do

Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.
Reports to: Director, BSA
Direct Reports: None

Product & Program Leadership

• Act as the product manager and delivery lead for Axon’s Finance Systems, including consolidation, revenue, close management, and reporting platforms.
• Lead the Finance & Accounting Consolidation implementation end-to-end: scope definition, roadmap planning, delivery execution, stakeholder alignment, and value realization.
• Own the RevStream upgrade and future revenue system enhancements, ensuring alignment with revenue recognition standards and Finance strategy.
• Translate complex finance, accounting, and compliance requirements into clear product requirements, prioritized backlogs, and phased delivery plans.
• Drive cross-functional execution across Finance, IT, Engineering, Data, and external vendors.
• Own release planning, UAT strategy, cutover readiness, and post-implementation adoption.
• Ensure regulatory, statutory, and tax requirements (GAAP, statutory reporting, GAAP-to-Tax, Pillar 2, revenue recognition) are embedded into product scope and validated.

Product Ownership & Governance

• Serve as the system/product owner for assigned Finance Systems, accountable for roadmap prioritization, tradeoffs, and platform health.
• Establish governance for finance system changes, data quality, financial hierarchies, and master data in partnership with Finance and MDM teams.
• Partner with solution architects and engineering leaders to review designs and manage dependencies (without owning technical architecture).
• Define success metrics, track adoption, and communicate outcomes, risks, and tradeoffs to Finance and IT leadership.
• Identify opportunities to reduce manual effort, improve controls, and scale finance operations through automation and workflow improvements.

What You Bring

• Bachelor’s degree in Finance, Accounting, Information Systems, or related field (or equivalent experience)
• 8+ years of experience in finance systems, business systems product management, or enterprise delivery roles
• Deep understanding of financial close, consolidation, revenue recognition, reconciliations, and statutory reporting
• Proven experience owning complex finance system initiatives (e.g., consolidation platforms, revenue systems, close automation)
• Experience with platforms such as OneStream, Oracle EPM, Workiva, BlackLine, RevStream, or similar finance tools
• Strong product management capabilities: roadmap ownership, backlog prioritization, stakeholder alignment, UAT leadership, and phased delivery
• Technical fluency with ERPs and analytics platforms (D365 F&O, Snowflake, Power BI, Sigma) sufficient to partner successfully with engineering and data teams
• Ability to operate autonomously on ambiguous, high-impact initiatives
• Strong communication skills and executive presence; comfortable presenting recommendations and tradeoffs to senior stakeholders
• Collaborative, outcome-driven mindset with a passion for continuous improvement

Benefits that Benefit You

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

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

Role Overview:

As a Field Engineer, you are the technical engine of a customer-facing pod, partnering closely with an Account Executive and BDR to drive successful evaluations, onboarding, and expansion for Materialize customers. You own the technical relationship from discovery through production and beyond. This is a hybrid pre-sales and post-sales role. You’ll spend the majority of your time working directly with customers running discovery, demos, and POVs, and guiding customers into production, while also contributing to repeatable assets that help scale the Field Engineering function. This role is ideal for someone who enjoys working directly with customers, thrives in technical ambiguity, and wants to help define how a category-defining infrastructure product is evaluated and adopted.

Our Field Engineers are based in our NYC office near Astor Place, with an expectation of at least 3 days per week in person.

Responsibilities:

• Lead technical discovery conversations and assess use case fit using Materialize’s qualification frameworks
• Design and deliver tailored demos and time-boxed POVs with clear success criteria
• Explain Materialize’s architecture and positioning relative to alternatives such as Flink, Snowflake, Databricks, ClickHouse, and custom-built systems
• Partner with Account Executives on deal strategy, technical qualification, and MEDPICC execution
• Maintain strong Salesforce hygiene, including technical risk flags and deal health updates
• Guide customers from closed-won to first production workloads
• Provide architectural guidance and support customers through early adoption
• Monitor usage patterns and surface expansion opportunities in partnership with Sales
• Participate in status reviews and QBRs for assigned accounts
• Build and improve repeatable assets such as demo environments, POV templates, and discovery playbooks
• Document best practices and contribute to internal enablement

What We’re Looking For : 

• 4+ years of experience in a customer-facing technical role such as Field Engineering, Solutions Engineering, Technical Consulting, or Solutions Architecture
• Strong understanding of modern data architectures, including relational databases, event streaming, and microservices
• Proficiency with SQL and the ability to reason about query behavior and performance
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized environments
• Strong communication skills and comfort presenting to both technical and non-technical audiences
• A structured, process-oriented mindset paired with the flexibility needed in a fast-growing startup
• Experience with real-time or streaming systems (Kafka, Flink, Spark) is a plus
• Background in data infrastructure, developer tools, or technical consulting is a plus
• Scripting experience in Python, Go, or similar languages is a plus

Location: NYC (hybrid, minimum 3 days/week in HQ)
Base Salary: $145,00 - 160,000/year plus additional variable bonus and equity in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud,  built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, and Melbourne, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

As our Marketing Operations Manager, you’ll own the strategy and execution of our marketing infrastructure. You’ll lead the charge in evolving our marketing stack—blending traditional automation with AI to build a scalable foundation—ensuring that every system and workflow is built to support our growth as we scale.

The role will own KPI reporting and full funnel conversion metrics and will report to the Sr Director, GTM Operations. 

Interesting Problems

AI-Driven Campaign Execution & Infrastructure

• Tactical Execution: Architect and own the end-to-end campaign engine, leveraging best-in-class tools to drive high-velocity execution, rigorous A/B testing, and top-of-funnel growth
• Autonomous Workflows: Design and deploy AI-driven agents to automate the "operational tax"—orchestrating seamless audience segmentation, intelligent list management, and real-time data synchronization.
• Dynamic Personalization: Spearhead the use of GenAI to bridge the gap between data and delivery, creating a highly personalized customer journey that drives measurable top-of-funnel health.

Intelligence & Attribution

• Reporting: Build the infrastructure for tracking pipeline influence and opportunity attribution, turning raw data into actionable insights for GTM leadership.
• Lead Lifecycle: Design a scalable lead lifecycle management system that utilizes AI to monitor conversion health and predict funnel performance in real-time.
• Advanced Scoring: Establish a best-in-class scoring engine that bridges the gap between marketing engagement and sales readiness, ensuring the team is always focused on the most promising prospects.

Strategic Operations & Alignment

• Lead Handoff: Own the end-to-end strategy and process for lead orchestration—leveraging tools like LeanData and AI-driven 'Form Concierges' to ensure instant, context-aware handoffs and high-velocity alignment between marketing and sales.
• Cross-Functional Partnership: Orchestrate the AI and automation roadmap in lockstep with Sales and Marketing leadership to ensure our tech stack directly accelerates core business objectives.
• Data Governance: Implement a robust data governance framework that secures privacy compliance and enforces the high-fidelity data standards necessary for sophisticated AI modeling.
• Operational Excellence: Institutionalize governance standards for marketing automation and AI, ensuring the "marketing factory" operates with high precision and meets rigorous internal SLAs.

About You

• 8+ yrs of Marketing, Operations, or Campaign Management in high growth environments
• 2+ years admin experience with Marketo & Salesforce
• Advanced technical stack proficiency across attribution (Marketo, Bizible), ABM (Common Room), routing (LeanData), enrichment (Cognism), database architecture (Databricks, Snowflake) and ETL processes 
• Deep understanding of the Marketo-SFDC sync, including field mapping, sync errors, and how scoring/lifecycle field values flow into Salesforce
• Data-driven strategist with a proven track record of translating complex campaign performance into actionable insights
• Working knowledge of HTML and experience building emails
• Detail-oriented by nature, finding as much satisfaction in high-level process design as you do in the tactical 'final mile' of QA, proofreading, and delivering actionable feedback
• Demonstrated curiosity and commitment to continuous learning, staying current with emergent technologies (e.g., AI) and proactive exploration of how new capabilities can be applied to improve marketing operations.
• B2B SaaS marketing preferred

Location

We have a hybrid work model for employees based in Seattle, WA, and New York, NY, with three days in the office days each week, providing a mix of in-person collaboration and remote flexibility

We will also consider fully remote in CA, CO, FL, GA, IL, MA, MN, NJ, OH, OR, and TX

Compensation

• US: NYC, SF Bay Area, Seattle, the range is $137,000 – $188,000.
• US: All other fully remote locations, the range is $120,000 – $170,000.

Cash Incentives: Cash incentives are also available.

Stock Options:  The opportunity for ownership is an exciting part of Amperity’s total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.

Benefits

We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence. For more details on our benefits, please see our US Benefits & Perks Guide.

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

The Work

Payers & Outcomes at Headway sits at the intersection of ML, clinical quality, and trust. You’re building the intelligent systems that protect the integrity of our network — spotting risk, surfacing quality signals, and giving providers real-time feedback so they can deliver great care. What you could work on:

• Clinical Feedback: Architect the LLM-powered systems that review clinical documentation at scale and deliver helpful, real-time feedback to providers. Turn a traditionally painful audit process into a coaching experience — and scale it across the entire network.
• Detecting Risk in Healthcare Claims: Design the ML/LLM systems that spot patterns of inappropriate billing, over-utilization, and low-quality care across millions of appointments and claims. Translate those signals into clear feedback for providers and transparent reporting for our insurance partners.
• Measuring & Elevating Clinical Quality: Help build the systems that systematically review every prescriber in our network against clinical quality standards — so we can measure, improve, and defend the quality of care Headway delivers. The stakes are real: our most recent launch reviews clinical notes and nudges providers to put a safety plan in place when a patient shows signs of suicidal risk — a system projected to save roughly 1,000 lives a year.
• Patient Needs & Provider Fit: Crack the “one size fits all” problem. Build ML systems that understand how complex a patient’s needs are and match them to providers best suited to help — so every patient gets the right care and every provider operates at their best.
• Trustworthy AI in Healthcare: Champion how Headway evaluates and iterates on AI systems. Build the evaluation frameworks, optimization loops, and observability that keep LLM-powered features reliable and safe in a regulated environment.
• Technical Foundations & Mentorship: Set the technical bar for the Payers & Outcomes group — ~12 engineers today, growing to 30–50 by end of year. Lay the architectural foundations other teams will build on, and raise the whole group’s engineering craft as it scales.

#LI-BM1

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

• A dbt certification

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

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

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable, giving us back our most valuable asset, time.

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

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

Our Stack

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

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

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

• A dbt certification

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

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

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time.

Who you are

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

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

What you’ll do

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

What we’re looking for

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

While not required, these are a plus

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

  Our Stack

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

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

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

Our Stack

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

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

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 USD to $265,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-RR1 #LI-Onsite

Who we are

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

Who you are

Metropolis is seeking a 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

Your Impact

Law enforcement agencies need training systems informed by real data about how officers perform in the field. We've spent the last few years collecting that data and validating the data products that create actionable insights that trainers can use to make encounters more effective, less injurious, and safer for everyone involved. We've shipped the simple models, but now we need to get our customer-validated models into production. Your job is not just to ship them, but to ensure that we have a strategic pipeline to continue delivering data products for our customers for years to come. What works in research needs to be production-grade, reliable, and reusable.

We're a small, technically deep team embedded in Axon's TASER pillar. Our work spans hardware telemetry and behavioral science — we analyze TASER device data, build models that drive training recommendations for law enforcement agencies, and ship the analytical tools that get those insights to the people who can act on them. Our analyses reach the C-suite. Our models become user-facing features. We're working toward Axon's Moonshot: reduce fatal officer-involved shootings by 50% in the next decade.

The head of product was a Staff Engineer. Our TPM ran a 60-person engineering organization. Both product managers have quantitative degrees — applied mathematics and engineering. Our program manager for TREND is a former state police lieutenant with over 30 years of experience in law enforcement. Our designer is part of the team, not separated from it. We built this team to cover the full space — engineering, data, product, and domain — and this hire is the next deliberate addition.

This is the opposite of a silo — and it comes with a tradeoff: you won't always have another SWE in the room, so you'll need to be technically self-sufficient. What you get in return is a team with more depth of experience per person than most engineering environments you've worked in.

What You’ll Do

Location: This role is based out of one of our US-based offices Seattle and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.
Reports to: Director, TASER Data Science

• Build and ship data products: dashboards, metrics systems, and recommendation tools that drive real decisions
• Own production ML deployment — bring models from research to reliable production systems with monitoring, versioning, and operational rigor
• Build and own data pipelines from TASER device telemetry through to analytics surfaces used by agencies and internal stakeholders
• Set technical direction for the team's engineering practices — the data scientists here write code and want to do it better; you'll be the senior engineering voice they've been missing
• Work across the full stack — device-side data ingestion through user-facing analytics — and move between projects to build breadth
• Use AI tools as a core part of your development workflow, not a novelty

What You Bring

Must-haves:

• You write production code at a high standard — strongly typed, comprehensively tested, designed for the people who will maintain it after you. We write Python like software engineers, not data scientists.
• You've deployed and operated ML systems in production: model serving, monitoring, failure handling, and the operational rigor that keeps them running
• You identify the most important technical work and go after it — you've shaped technical roadmaps, influenced peers and organizational direction, and moved goals forward with or without explicit direction
• You define the problem as much as you solve it — you thrive in a team where requirements evolve as you learn, and you see that as a feature, not a bug
• You've worked with real-world messy data: device logs, behavioral data, event streams, or similar

Strong preferences:

• Advanced degree in a quantitative or analytical field — PhDs are very welcome, we already have three
• Intellectual background outside computer science is genuinely valued here: statistics, physics, engineering, biology, economics, linguistics, philosophy — it doesn't have to be a "hard science." We hire for intellectual diversity because it makes the work better.
• Hands-on experience with ML production tooling: model registry, serving infrastructure, pipeline orchestration, and model monitoring
• Experience with cloud data platforms in an ML context (Azure ML, Databricks, Snowflake) and batch or streaming pipeline architecture
• Experience with hardware-adjacent data: device telemetry, IoT event logs, or similar

Benefits that Benefit You

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

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

Who we are:

Reports to: Esha Joshi, Cofounder and Chief Customer Officer

Yoodli is the AI roleplay simulator redefining how individuals and teams master communication. Think of it as the batting cage before the big game - but for communication. Whether it’s a sales pitch, manager feedback session, or media interview, Yoodli provides private, judgment-free, just-in-time coaching. Leaders at companies like Google, Databricks, Snowflake, RingCentral, Toastmasters, and Dale Carnegie use Yoodli to ramp reps faster, improve message delivery, and reduce coaching burden on frontline managers. The result is stronger performance, greater team readiness, and a more scalable path to impact.

We’re building a new category called Experiential Learning: a new AI-powered category that helps people learn through conversational roleplays. People don’t learn from slides: they learn through dialogue, questions, and iteration. Yoodli makes that process interactive, personalized, and always up to date. It’s learning that feels fun, builds confidence, and finally lets organizations measure the ROI of training.

We’ve $40M in Series B funding, doubling our team in 2026, and are headquartered at the beautiful Pier 70 in Seattle.

• TED Talk with our “Why”
• Explainer on experiential learning

What you’ll do:

As a Strategic Customer Success Manager, you will ensure seamless customer experiences across all stages of the customer journey. You’ll bring strong customer relationships, maximize satisfaction, and drive growth by managing enterprise client accounts. Your work will focus on increasing customer satisfaction, NPS, retention/product adoption, and business expansion while collaborating closely with sales, product, and leadership teams.

If you are based in Seattle, this role will hybrid. The local team comes into the office 3 days a week. For non-Seattle based candidates, this will be a remote hire.

About you:

• 5+ years of experience as an enterprise customer success manager
• Proven track record of managing enterprise accounts, driving adoption, and achieving customer success metrics
• Experience shaping and executing customer experience strategies for enterprise lifecycle stages
• Skilled at working cross-functionally with sales, leadership, and product teams to deliver customer value
• Exceptional verbal and written communication skills with a talent for clear and persuasive articulation of ideas
• Strong proficiency in customer engagement platforms and CRM tools
• Humility, creativity, and team-first-attitude, with a love for learning

Extra credit experience:

• Deep understanding of the SaaS ecosystem and strategies to guide customers through the adoption curve
• Proficient in using advanced analytics tools to monitor customer usage patterns and predict future behaviors
• Ability to develop and implement automation strategies that enhance customer lifecycle management from onboarding to renewal, reducing manual processes and improving operational efficiency

Compensation

• Total compensation is targeted at $150,000 - $180,000 (depending on experience), including variable pay based on quarterly goals
• Equity opportunities at a fast growing company
• Health, dental, vision insurance
• 401k plans
• Unlimited PTO, free lunches at the office

What’s in it for you?

• Huge impact opportunity: Build and scale a company from the ground up
• Competitive compensation: Includes a combination of cash base and commission compensation
• Work on a daily basis with the founding team and mentors
• Join a fun, inclusive and highly motivated team culture (and help define it!)

Who we are:

Reports to: Esha Joshi, Cofounder and Chief Customer Officer

Yoodli is the AI roleplay simulator redefining how individuals and teams master communication. Think of it as the batting cage before the big game - but for communication. Whether it’s a sales pitch, manager feedback session, or media interview, Yoodli provides private, judgment-free, just-in-time coaching. Leaders at companies like Google, Databricks, Snowflake, RingCentral, Toastmasters, and Dale Carnegie use Yoodli to ramp reps faster, improve message delivery, and reduce coaching burden on frontline managers. The result is stronger performance, greater team readiness, and a more scalable path to impact.

We’re building a new category called Experiential Learning: a new AI-powered category that helps people learn through conversational roleplays. People don’t learn from slides: they learn through dialogue, questions, and iteration. Yoodli makes that process interactive, personalized, and always up to date. It’s learning that feels fun, builds confidence, and finally lets organizations measure the ROI of training.

We’ve $40M in Series B funding, doubling our team in 2026, and are headquartered at the beautiful Pier 70 in Seattle.

• TED Talk with our “Why”
• Explainer on experiential learning

What you’ll do:

As a Growth Customer Success Manager, you will ensure seamless customer experiences across all stages of the customer journey. You’ll bring strong customer relationships, maximize satisfaction, and drive growth by managing enterprise client accounts. Your work will focus on increasing customer satisfaction, NPS, retention/product adoption, and business expansion while collaborating closely with sales, product, and leadership teams.

We are targeting a East Coast based Remote hire.

About you:

• 3+ years of experience as an enterprise customer success manager
• Proven track record of managing enterprise accounts, driving adoption, and achieving customer success metrics
• Experience shaping and executing customer experience strategies for enterprise lifecycle stages
• Skilled at working cross-functionally with sales, leadership, and product teams to deliver customer value
• Exceptional verbal and written communication skills with a talent for clear and persuasive articulation of ideas
• Strong proficiency in customer engagement platforms and CRM tools
• Humility, creativity, and team-first-attitude, with a love for learning

Extra credit experience:

• Deep understanding of the SaaS ecosystem and strategies to guide customers through the adoption curve
• Proficient in using advanced analytics tools to monitor customer usage patterns and predict future behaviors
• Ability to develop and implement automation strategies that enhance customer lifecycle management from onboarding to renewal, reducing manual processes and improving operational efficiency

Compensation

• Total compensation is targeted at $125,000 - $150,000 (depending on experience), including variable pay based on quarterly goals
• Equity opportunities at a fast growing company
• Health, dental, vision insurance
• 401k plans
• Unlimited PTO, free lunches at the office

What’s in it for you?

• Huge impact opportunity: Build and scale a company from the ground up
• Competitive compensation: Includes a combination of cash base and commission compensation
• Work on a daily basis with the founding team and mentors
• Join a fun, inclusive and highly motivated team culture (and help define it!)