Director, Go to Market Engineering

Corpay is hiring a hands-on Director, Go-to-Market Engineering to lead the strategy, delivery, and ongoing evolution of production software, data products, and AI-enabled workflows for Sales and Marketing. This leader will combine first-party and third-party data to improve account prioritization, seller productivity, qualified pipeline, time to productivity, and multi-product adoption.

The Director owns the Go-to-Market Engineering agenda from problem definition through technical design, deployment, adoption, and business measurement. The role provides both strategic leadership and deep technical direction, ensuring solutions are scalable, reliable, measurable, and aligned to commercial priorities.

The successful candidate will bring a minimum of 10 years of relevant experience, including at least 7 years of hands-on technical experience in software engineering, data engineering, data science, AI/ML, or related disciplines, as well as at least 3 years of progressive leadership experience. Leadership experience may include leading engineering teams, managing technical delivery, setting technical strategy, mentoring engineers, or driving complex cross-functional initiatives.

This leader will guide a team with complementary capabilities across software and data engineering, including pipelines, APIs, enterprise integrations, and trusted data models, as well as applied data science and AI, including predictive modeling, experimentation, and large language model applications. The Director must maintain sufficient technical depth to establish engineering standards, make informed architectural decisions, and guide the delivery of production-quality solutions end to end.

The role sits within Corpay's Sales & Marketing organization and partners with Demand Generation, Product Marketing, Marketing Operations, Sales Development, Sales, Customer Success, Revenue Operations, Product, Data, and Technology. Candidates must translate complex commercial priorities into scalable technical strategies, align stakeholders around priorities, test solutions with users, deploy them reliably, and quantify the results.

As Director, Go-to-Market Engineering, you will be expected to work in an office environment, alongside your colleagues, full time in our Buckhead, Atlanta office.

The responsibilities of the role will include:

Set the technical vision, multi-year roadmap, architecture, and delivery priorities for Go-to-Market Engineering in alignment with Sales and Marketing objectives.

Lead, mentor, and develop engineering talent while establishing clear goals, accountability, delivery practices, and engineering standards.

Partner with senior business and technology leaders to prioritize investments, manage dependencies and risks, and communicate progress, tradeoffs, and measurable business impact.

Establish performance measures that connect technical delivery to commercial outcomes, including seller productivity, pipeline quality, adoption, and revenue impact.

Lead the design, development, and operation of batch and real-time data pipelines that integrate CRM, marketing automation, website, intent, engagement, product, transaction, partner, and third-party data.

Establish and govern trusted account and contact data models, including identity resolution, lead-to-account matching, deduplication, enrichment, lineage, and automated data quality checks.

Provide technical direction for scalable APIs, enterprise integrations, data platforms, and production software that enable reliable commercial workflows.

Set standards for code quality, testing, security, observability, operational support, and documentation across the Go-to-Market Engineering portfolio.

Guide the development and operationalization of predictive models, experimentation frameworks, and AI-enabled workflows that improve account prioritization, seller productivity, and customer engagement.

Ensure AI and machine learning solutions are designed with appropriate governance, data quality, measurement, and change-management practices.

Evaluate emerging technologies and recommend pragmatic applications that create measurable commercial value.

Translate commercial problems into clear technical requirements, solution options, delivery plans, and measurable outcomes.

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