• Build and own the pipeline generation system: Design and operate the end-to-end infrastructure that identifies, qualifies, and routes opportunities to our AE team at scale. • Own data quality and coverage: Ensure our target account and contact data is accurate, enriched, and actionable. Build and maintain the processes that keep our CRM a reliable source of truth. • Build and optimise outbound programmes: Design and run outbound motions that combine personalisation at scale with strong deliverability. Monitor and continuously improve reply rates and meetings booked. • Operationalise lead routing and handoff: Build the workflows that ensure qualified opportunities reach the right AE quickly, with full context, so no momentum is lost between signal and conversation. • Build pipeline-attribution reporting: Create dashboards and reports that connect GTM activity to pipeline and revenue outcomes, enabling leadership to make informed decisions on where to invest. • Embed AI across the GTM function: Identify and implement AI-powered solutions across prospecting, research, personalisation, and workflow automation. AI should be the default in how this team operates, not an afterthought. • Own CRM architecture and hygiene: Maintain our CRM as the single source of truth for the GTM org. Build the data model, automations, and reporting infrastructure the team depends on, and partner with leadership on architecture decisions.

AI First Software Engineer Location: Remote, United States Full time Who We Are: At OPENLANE, we make wholesale easy so our customers can be more successful. We’re a technology company building the world’s most advanced—and uncomplicated—digital marketplace for used vehicles. We’re a data company helping customers buy and sell smarter with clear, actionable insights they can understand and use. And we’re an innovation company accelerating the future of wholesale remarketing through curiosity, collaboration, and an entrepreneurial spirit. Our Values: Driven Waybuilders. We pursue challenges that inspire us to build, create, and innovate. Relentless Curiosity. We seek to understand and improve our customers’ experience. Smart Risk-Taking. We transform risk into progress through data, experience, and intuition. Fearless Ownership. We deliver what we promise and learn along the way. We’re Looking For: We’re hiring AI-first Software Engineers to build, evolve, and scale OPENLANE’s U.S. marketplace platforms. These roles are for engineers who already treat AI as a first-class development tool, not a novelty. You’ll use AI to move faster, ship higher-quality software, and reduce operational and development toil, while still applying strong engineering judgment, ownership, and systems thinking. You’ll work on customer-facing marketplace experiences and core platform services, partnering closely with Product, Data, Infrastructure, and SRE teams to deliver resilient, scalable systems. AI is an accelerator. Engineering ownership still matters. Why OPENLANE: - Work on real-time, high-value marketplace systems at scale - Be part of a major platform modernization and AI transformation - Use AI as a first-class development tool—not an experiment - Collaborate with experienced engineers, product leaders, and platform teams - Grow in an environment that values learning, ownership, and impact You Are: - AI-forward. You already use AI tools to enhance development speed, quality, and efficiency, and you continuously adapt as tooling evolves. - Product-minded. You think beyond code and understand how technical decisions impact customers and business outcomes. - Ownership-driven. You take responsibility for systems end-to-end, including reliability and operational health. - Technically curious. You enjoy learning new technologies and thoughtfully evaluating emerging approaches. - Quality-focused. You value clean, maintainable code, strong testing practices, and production-ready engineering standards. You Bring: Core Engineering Skills - Experience building and supporting production software systems - Strong understanding of APIs, distributed systems, and cloud-native architecture - Comfort working in modern CI/CD environments - Experience with observability, monitoring, and incident response - Ability to own features and systems end-to-end AI-First Mindset - Actively uses AI development tools (code copilots, AI debuggers, test generators) - Curious about applying AI to real customer and business problems - Able to critically evaluate AI outputs instead of blindly accepting them - Comfortable learning and adapting in a fast-changing tool landscape Technical Experience (One or More) - Backend development (Java, Kotlin, Go, Python, .NET, Ruby, or similar) - Frontend experience (React, TypeScript) is a plus - AWS or similar cloud platforms - Microservices and event-driven architectures - SQL and data-driven applications You Will: - Design, build, and operate scalable services that power U.S. marketplace workflows such as Buy Now, 45M, Simulcast, and DealerBlock - Develop APIs and backend services on the modern, cloud-native, AI-enabled platform - Embed AI-driven capabilities into marketplace features including pricing logic, negotiation flows, and workflow automation - Use AI tools to accelerate coding, testing, debugging, and documentation while applying strong engineering judgment - Partner with Product to translate business needs into durable, scalable technical solutions - Participate in on-call rotations and support live production systems - Improve system reliability, performance, security, and observability - Contribute to technical direction, engineering standards, and long-term platform evolution How You’ll Use AI in These Roles: - AI-assisted coding and refactoring - AI-generated test coverage and validation - AI-supported debugging and root-cause analysis - AI-assisted documentation and knowledge sharing - Applying AI tools to reduce repetitive work and increase engineering leverage Who You Will Work With: Reporting to an Engineering Manager, this role collaborates closely with Product Managers, Data Engineers, Infrastructure, and Site Reliability Engineering (SRE) teams on a daily basis Must Have’s: - 3+ years of experience building and supporting production software systems - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience) - Experience building and supporting production software systems - Backend development (Java, Kotlin, Go, Python, .NET, Ruby, or similar) - Strong understanding of APIs, distributed systems, and cloud-native architecture - Comfort working in modern CI/CD environments - Experience with observability, monitoring, and incident response - Ability to own features and systems end-to-end - Actively uses AI development tools (code copilots, AI debuggers, test generators) - Curious about applying AI to real customer and business problems - Able to critically evaluate AI outputs instead of blindly accepting them - Comfortable learning and adapting in a fast-changing tool landscape Nice to Have’s: - Frontend experience (React, TypeScript) - AWS or similar cloud platforms - Microservices and event-driven architectures - SQL and data-driven applications - Marketplace, e-commerce, or high-volume transaction systems - Reliability engineering or SRE experience - Experience modernizing or migrating legacy systems What We Offer: - Competitive pay - Medical, dental, and vision benefits with employer HSA contributions (US) and FSA options (US) - Immediately vested 401K (US) or RRSP (Canada) with company match - Paid Vacation, Personal, and Sick Time - Paid maternity and paternity leave (US) - Employer-paid short-term disability, long-term disability, life insurance, and AD&D (US) - Robust Employee Assistance Program - Employer paid Leap into Service Day to volunteer - Tuition Reimbursement for eligible programs - Opportunities to expand your skill set and share your knowledge across a publicly traded, global organization - Company culture of internal promotions, diverse career paths, and meaningful advancement Sound like a match? Apply Now - We can't wait to hear from you! Compensation Range of Annual Salary: $110,000.00 - $160,000.00 USD (Depending on experience, skill set, qualifications, and other relevant factors.)

• Participate in daily stand-ups across our NYC, LA, and Costa Rica teams • Write clean, maintainable code grounded in SOLID principles and software craftsmanship • Submit every pull request with thoughtful context, and give the same quality of review to your peers • Practice Test-Driven Development (TDD) for relevant functionality • Collaborate through pair programming and active code reviews • Create architecture documents for new features and engage in technical design discussions before development begins • Take technical ownership of a meaningful portion of an enterprise application that is revolutionizing content production

Role Description This is a software engineering role on a software engineering team. The team builds and operates the data platform: the infrastructure, abstractions, and SDKs that the rest of Marqeta's data and ML organization runs on. We are not writing pipelines–we are building the platform pipelines run on. If you've spent your career building infrastructure that other engineers depend on; and you know the difference between “software engineering” and "data engineering", read on. We work Flexible First. This role can be performed remotely anywhere within the United States or from our Oakland office. We’d love for you to join us! At Marqeta, participation in a rotational on-call pager duty is a required part of the software engineering role. The specifics of the rotation may vary by team, depending on team size and structure, and will be discussed further during the interview process. What you'd own - The lakehouse and the streaming ingestion that feeds it. - Iceberg/Delta on S3, Spark/Glue processing, Kafka and CDC pipelines. - The abstractions that let other teams land data, build pipelines, and publish datasets without inventing the patterns themselves. - You’d help set the multi-year technical direction, design the golden paths, and ship the work — directly, with your hands on the code that matters. How the team works - You’d report to the Director of Data Engineering and partner with a peer Manager whose scope is people leadership and operational delivery. - You own technical direction, application architecture, and the engineering bar. - You’ll work alongside other senior staff engineers across the broader data platform org. - Partner with security, compliance, and the consumer teams who depend on what we ship. What "hands-on" actually means here - Yes: writing production code on the platform's hardest problems, owning the design and build of new abstractions end-to-end, leading design reviews, setting the engineering bar through the work itself. - Sometimes: prototyping, deep diving on a tricky migration, pairing with engineers on tough problems. What the work looks like - Modernization: Building out the lakehouse — the patterns Marqeta will run on for years. - New abstractions, new tooling, the paved road internal teams want to use. - Live system work: Evolving and hardening the platform that's already in production. - Reliability, performance, developer experience — improved without disrupting the teams who depend on it. - Engineering excellence: Testing confidence, release velocity. On call, blameless postmortems. Qualifications - A career building data platforms, not just pipelines. - Production depth in modern lakehouse work: Iceberg or Delta in production. - Strong fluency in the surrounding stack: AWS data services (S3, Glue, EMR), Spark, Airflow, Kafka, IAM boundaries for multi-tenant data access. - Mastery of Python in a production data-platform context, with credible depth in Go or Java. - A track record of evolving live infrastructure. - Ownership of major platform transitions. - Influence as a working skill. - A history of growing other engineers — including peers at your level. Requirements - Experience typically takes around a decade to accumulate. - You can name the abstractions you've designed, the teams that adopted them, and the problems they solved. - If most of your last several years has been writing transformations rather than building the system transformations run on, this isn't the right shape. - You don't need depth in all of it — you need real depth in the lakehouse and credible engagement with the rest. Benefits - Multiple health insurance options. - Flexible time off – take what you need. - Retirement savings program with company contribution and after tax contributions. - Equity in a publicly-traded company and an Employee Stock Purchase Program. - Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave. - Free therapy sessions, financial and professional coaching, and legal advice. - Monthly stipend to support our remote work model. - Annual “development dollars” to support our people growth and development. - Through Flex First, the freedom to live and work wherever you and your family thrive.