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

Job in Acton, Middlesex County, Massachusetts, 01720, USA
Listing for: Insulet Corporation
Full Time position
Listed on 2026-10-15
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Position: Director, Digital Platform Engineering (Hybrid - Acton, MA)
Job Summary Director of Engineering, Digital Platform Engineering Lead the Transformation to AI-Native Engineering 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  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 s 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.

Ready to lead the future of AI-native engineering? We'd love to connect. Apply today or reach out for a confidential conversation.

Director of Engineering, Digital Platform Engineering About the Role We are seeking a visionary Director of Engineering to fundamentally transform our Digital Engineering organization into an AI-native powerhouse. Sitting at the helm of our digital platform and software engineering teams, you will drive the architectural, solutioning and operational evolution of our core digital domains.

Your mandate is twofold. First, you will architect the the multi-agentic system architectures, harnesses, context layers, and platform engineering that transform our front-end digital experiences. Second, you will lead an internal evolution toward an AI-SDLC, equipping our software engineering & development teams with the AI-native tools and workflows required to exponentially increase developer experience (Dev Ex), delivery quality, and efficiency.

Key Responsibilities Platform Engineering & ArchitectureArchitect Platform:
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.
Modernize Platform & Integrations:
Design and deploy dedicated gateways to route, rate-limit, and secure digital traffic, ensuring highly available connections to backend models, agents and tools.
Drive Multi-Agentic Architectures:
Architect scalable multi-agent frameworks that natively orchestrate complex, multi-step customer journeys directly within the application layer.
Establish repeatable Practices:
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.

Applied Context Engineering & The "Last Mile"Pioneer Context & Harness Engineering:
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.
Embed acceleration in the Customer Journey:
Engineer the application layer to deliver conversational commerce, intelligent product discovery, and dynamic personalization capabilities across all digital touchpoints.
Align to Digital KPIs:
Partner directly with digital product management to ensure all platform capabilities measurably drive E-commerce conversion, Loyalty program engagement, and CRM retention metrics.

AI-SDLC & Software Engineering TransformationDrive AI-Native Engineering:
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.
Define Engineering Effectiveness:
Measure and improve engineering velocity and platform reliability through DORA metrics, Dev Ex indicators, and operational transparency.
Provide "Golden Paths":
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.

Strategic Boundary ManagementConsume Core AI & Data Services:
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,…
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