Director, Digital Platform Engineering (Hybrid - Acton, MA)

Insulet Corporation•Acton, MA

1d•$205,800 - $308,700•Hybrid

About The Position

We are seeking a visionary Director of Engineering to lead the evolution of our Digital Platform Engineering organization and redefine how software is built, delivered, and scaled in the AI era. In this executive leadership role, you will drive the architecture and platform strategy behind our digital experiences while advancing an AI-enabled Software Development Lifecycle (AI-SDLC). You will champion multi-agent AI architectures, platform engineering excellence, and AI-native development practices that accelerate innovation, enhance developer productivity, and elevate delivery quality at scale. This is a rare opportunity to shape enterprise-wide engineering transformation, build high-performing teams, and establish the foundation for the next generation of digital innovation.

Requirements

10+ years of progressive technology leadership experience, with a deep background in distributed systems, global API management, and high-traffic E-commerce architectures.
5+ years managing teams focused on platform engineering, SDLC automation, and full-stack software development.
Proven track record of driving enterprise-scale technology transformations and successfully partnering with centralized Data or AI organizations in a matrixed environment.
Deep expertise in enterprise API management platforms, LLM gateways, internal developer portals, and cloud-native infrastructure (Kubernetes, serverless patterns).
Strong hands-on architectural understanding of AI harness design, multi-agentic system architectures, enterprise context engineering, and RAG patterns.
Fluency with agentic-SDLC implementations, policy-as-code frameworks, CI/CD orchestration, and enterprise observability platforms to guarantee uptime for revenue-generating digital channels.
A profound product-engineering mindset; you view robust platform architecture as a direct lever for driving digital revenue, customer conversion, and loyalty.
Exceptional executive communication skills, capable of translating complex multi-agent architectures and platform capabilities into tangible business value for non-technical stakeholders.
Unrelenting focus on developer experience, identifying and eliminating friction in the software engineering process through AI and automation.

Responsibilities

Direct the engineering teams responsible for the underlying platforms powering web engagement, Loyalty & retention systems, and CRM integrations, modernizing the cloud-native stack to adapt dynamically to changing conditions and execute tasks autonomously.
Design and deploy dedicated gateways to route, rate-limit, and secure digital traffic, ensuring highly available connections to backend models, agents and tools.
Architect scalable multi-agent frameworks that natively orchestrate complex, multi-step customer journeys directly within the application layer.
Implement automated, policy-as-code guidelines across the platform to ensure all customer-facing AI features adhere to strict latency, security, data privacy, and brand-safety standards before reaching production.
Build the connective tissue (the harness) that dynamically retrieves, formats, and securely routes real-time context from our CRM, Loyalty, and web engagement to LLMs, guaranteeing highly personalized and grounded customer interactions.
Engineer the application layer to deliver conversational commerce, intelligent product discovery, and dynamic personalization capabilities across all digital touchpoints.
Partner directly with digital product management to ensure all platform capabilities measurably drive E-commerce conversion, Loyalty program engagement, and CRM retention metrics.
Lead the transition to an AI-SDLC; roll out AI-assisted coding tools, automated workflows, and AI-driven testing across the digital engineering organization to fundamentally change how we build software.
Measure and improve engineering velocity and platform reliability through DORA metrics, DevEx indicators, and operational transparency.
Unify the digital tech stack into a governed, self-service developer portal, giving software engineers paved roads to experiment with and deploy AI features safely, securely, and within budget.
Act as the primary consumer and strategic partner to the Enterprise AI & Data organization. While they build the foundational data lakes and enterprise AI, digital platform orchestrates, builds the harness, securely routes, and applies those to the customer experience.