The Director Engineering- Team Lead will lead a team responsible for developing AI-enabled marketing platforms, focusing on scalable, reusable data capabilities and real-time decisioning systems in cloud and AI environments. The role involves defining platform vision, architecting cloud-native systems optimized for AI workflows, ensuring data reliability and precision, and collaborating across departments to meet business goals.The Director Engineering will serve as a key partner to Data engineers, AI/ML engineers, product managers, and external technical teams, to build real-time data pipelines and decisioning frameworks, enabling automated intelligent marketing workflows.
What They Will Do

• Define and execute the platform vision as a product, with clear adoption, usability, and business impact goals; build reusable, scalable capabilities for self-service data access, segmentation, and activation; establish standardized integration patterns across data, cloud, CRM and media ecosystems.

• Architect systems optimized for AI-driven and agentic workflows, including real-time decisioning and orchestration; enable intelligent audience creation, activation pathways, and automated optimization across CRM and media; build data pipelines and services that support scalable AI/ML use cases and continuous learning systems.

• Lead, mentor, and scale a high-performing team of engineers with strong ownership and execution discipline; stay close to architecture and critical technical decisions while empowering team autonomy; drive engineering excellence across system design, code quality, and reliability.

• Design and evolve distributed, cloud-native and AI-forward systems that are scalable, secure, and highly available; lead architecture across data platforms, APIs, integrations, and activation pipelines; ensure systems meet enterprise standards for resilience, performance, and compliance.

• Own end-to-end delivery of platform capabilities from architecture through deployment and adoption; establish best practices in CI/CD, and automation; define and track key metrics: data accuracy. deployment velocity, and speed to activation.

• Partner with Product, Data, Marketing, and external platforms to translate business needs into scalable systems; influence decisions across a matrixed organization and communicate complex technical concepts clearly to executive stakeholders.

Basic Qualifications

• 8+ years of experience in software engineering, with demonstrated ability to lead and mentor highly technical teams.

• Expertise in cloud environments, data platforms, and system integrations that support media and marketing workflows.

• Track record of delivering complex, cross-functional, global platform initiatives.

Preferred Qualifications

• Experience in Martech/Adtech ecosystems (DSPs, CRM, data activation platforms).

• Exposure to AI/ML systems, real-time data pipelines, and decisioning frameworks.

• Strong understanding of platform engineering and internal developer platforms.

• Experience operating in product-led, outcome-driven environments.

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

Other Job Details:

• Last Date to Apply for Job: September 3rd, 2026.

• Ability to travel based on business needs

• This position is hybrid and requires working onsite 2 to 3 days per week

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

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