Director, Go to Market Engineering

Corpay•Atlanta, GA

1d•Onsite

About The Position

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. 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. 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. 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.

Requirements

Bachelor’s degree (MBA or advanced degree often preferred)
A minimum of 10 years of progressive experience in software engineering, data engineering, data science, AI/ML, or a closely related technical field.
At least 7 years of hands-on technical experience designing, building, and supporting production-grade software, data products, platforms, integrations, or AI-enabled solutions.
At least 3 years of progressive leadership experience leading engineers, technical teams, major delivery initiatives, or technical strategy in a complex, cross-functional environment.
Demonstrated ability to balance strategic leadership with sufficient technical depth to guide architecture, engineering standards, delivery quality, and operational reliability.
Experience partnering with commercial functions such as Sales, Marketing, Revenue Operations, Customer Success, or Product to deliver measurable business outcomes.
Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively at all levels of the organization and in a matrixed environment
Strong analytical and problem-solving skills
Ability to work in ambiguous, high-pressure environments
Excellent communication and stakeholder management skills
Proven track record of delivering measurable business results

Responsibilities

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.
Build strong partnerships with Sales, Marketing, Product, Data, and Technology leaders to drive adoption and ensure solutions meet user needs.
Oversee solution testing, deployment, user enablement, and post-launch measurement to ensure reliable delivery and sustained business impact.
Set the vision and multi-year roadmap for Go-to-Market Engineering based on the highest-priority opportunities across Marketing, Sales, Revenue Operations, and Customer Success.
Work in a high-performing team that combines engineering discipline with a strong understanding of the customer journey, demand generation, lead management, and sales execution.
Partner with senior business and technology leaders to prioritize initiatives, sequence investments, resolve dependencies, and communicate progress, tradeoffs, and business impact.
Establish clear goals and operating practices that hold the team accountable for adoption, seller productivity, pipeline quality, conversion, sales cycle improvement, and revenue impact.
Improve how data and work move across the commercial funnel, from audience and account identification through lead capture, enrichment, scoring, routing, nurture, seller follow-up, and customer handoffs.
Create a trusted view of accounts and contacts by improving matching, deduplication, enrichment, data quality, and ownership across Marketing and Sales.
Connect CRM, marketing automation, sales engagement, website, partner, product, and transaction data so commercial teams can identify the best opportunities and act on them quickly.
Translate Marketing and Sales needs into practical tools, workflows, and decision support that improve campaign execution, account prioritization, seller preparation, pipeline management, and cross-sell.
Establish standards for reliability, security, documentation, and ongoing support so commercial teams can trust, adopt, and consistently use the solutions the team delivers.