Director Engineering - Team Lead
Pfizer
August 20, 2026
Remote friendly (Cambridge, MA)
United States
IT
Responsibilities:
- Define and execute platform vision as a product, including adoption, usability, and business impact goals; build reusable 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 and activation pathways; build data pipelines and services for scalable AI/ML use cases and continuous learning.
- Lead, mentor, and scale a high-performing engineering team; drive engineering excellence in system design, code quality, and reliability.
- Design and evolve distributed, cloud-native, AI-forward systems that are scalable, secure, and highly available; lead architecture across data platforms, APIs, integrations, and activation pipelines; ensure enterprise resilience, performance, and compliance.
- Own end-to-end delivery of platform capabilities (architecture through deployment and adoption); establish CI/CD and automation best practices; define/track metrics (data accuracy, deployment velocity, speed to activation).
- Partner with Product, Data, Marketing, and external platforms to translate business needs into scalable systems; communicate complex technical concepts to executives.
Basic Qualifications:
- 8+ years of software engineering with demonstrated ability to lead and mentor technical teams.
- Expertise in cloud environments, data platforms, and system integrations supporting media/marketing workflows.
- Track record delivering complex, cross-functional, global platform initiatives.
Preferred Qualifications:
- Experience in Martech/Adtech (DSPs, CRM, data activation platforms).
- Exposure to AI/ML systems, real-time data pipelines, and decisioning frameworks.
- Knowledge of platform engineering and internal developer platforms.
- Experience in product-led, outcome-driven environments.
Application Instructions / Other:
- Last date to apply: September 3rd, 2026.
- Hybrid; onsite 2–3 days/week; ability to travel as needed.
- Define and execute platform vision as a product, including adoption, usability, and business impact goals; build reusable 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 and activation pathways; build data pipelines and services for scalable AI/ML use cases and continuous learning.
- Lead, mentor, and scale a high-performing engineering team; drive engineering excellence in system design, code quality, and reliability.
- Design and evolve distributed, cloud-native, AI-forward systems that are scalable, secure, and highly available; lead architecture across data platforms, APIs, integrations, and activation pipelines; ensure enterprise resilience, performance, and compliance.
- Own end-to-end delivery of platform capabilities (architecture through deployment and adoption); establish CI/CD and automation best practices; define/track metrics (data accuracy, deployment velocity, speed to activation).
- Partner with Product, Data, Marketing, and external platforms to translate business needs into scalable systems; communicate complex technical concepts to executives.
Basic Qualifications:
- 8+ years of software engineering with demonstrated ability to lead and mentor technical teams.
- Expertise in cloud environments, data platforms, and system integrations supporting media/marketing workflows.
- Track record delivering complex, cross-functional, global platform initiatives.
Preferred Qualifications:
- Experience in Martech/Adtech (DSPs, CRM, data activation platforms).
- Exposure to AI/ML systems, real-time data pipelines, and decisioning frameworks.
- Knowledge of platform engineering and internal developer platforms.
- Experience in product-led, outcome-driven environments.
Application Instructions / Other:
- Last date to apply: September 3rd, 2026.
- Hybrid; onsite 2–3 days/week; ability to travel as needed.