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

Insulet Corporation•Acton, MA

10d•Hybrid

About The Position

The Director of Engineering, Digital Platform Engineering will lead the transformation of the Digital Engineering organization into an AI-native engineering organization. The role directs architecture, solutioning, and operational evolution of digital platforms and software engineering teams, advancing digital experiences and an AI-enabled Software Development Lifecycle (AI-SDLC). The director will shape platform strategy and multi-agent system architectures, including the harnesses, context layers, gateways, and developer platforms that connect enterprise AI and data services to customer-facing experiences. The role will also introduce AI-assisted coding, automated workflows, and AI-driven testing to improve developer experience, delivery quality, engineering velocity, and efficiency. The position partners with digital product management and the Enterprise AI & Data organization to support measurable outcomes in e-commerce conversion, loyalty engagement, and CRM retention. This position is eligible for hybrid working arrangements and requires on-site work from an Insulet office. The U.S.-based annual base salary range is $205,800 to $308,700, and the role may also be eligible for incentive compensation.

Requirements

10 or more years of progressive technology leadership experience.
Deep background in distributed systems, global API management, and high-traffic e-commerce architectures.
5 or more years managing teams focused on platform engineering, SDLC automation, and full-stack software development.
Proven record of driving enterprise-scale technology transformations.
Experience partnering successfully 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, including Kubernetes and serverless patterns.
Strong hands-on architectural understanding of AI harness design, multi-agent system architectures, enterprise context engineering, and RAG patterns.
Fluency with agentic-SDLC implementations, policy-as-code frameworks, CI/CD orchestration, and enterprise observability platforms.
Product-engineering mindset and ability to connect platform architecture to digital revenue, customer conversion, and loyalty.
Exceptional executive communication skills, including the ability to translate complex technical architectures into business value for non-technical stakeholders.
Strong focus on developer experience and removing software-engineering friction through AI and automation.

Responsibilities

Direct engineering teams responsible for platforms powering web engagement, loyalty and retention systems, and CRM integrations, modernizing the cloud-native stack.
Design and deploy gateways to route, rate-limit, and secure digital traffic and provide highly available connections to backend models, agents, and tools.
Architect scalable multi-agent frameworks that orchestrate complex, multi-step customer journeys in the application layer.
Implement automated, policy-as-code practices to ensure customer-facing AI features meet latency, security, data privacy, and brand-safety standards before production.
Build context and harness engineering capabilities to retrieve, format, and securely route real-time CRM, loyalty, and web-engagement context to LLMs.
Develop application-layer capabilities for conversational commerce, intelligent product discovery, and dynamic personalization across digital touchpoints.
Partner with digital product management to align platform capabilities with e-commerce conversion, loyalty engagement, and CRM retention metrics.
Lead the transition to an AI-SDLC by rolling out AI-assisted coding tools, automated workflows, and AI-driven testing.
Measure and improve engineering velocity and platform reliability using DORA metrics, developer-experience indicators, and operational transparency.
Unify the digital technology stack through a governed, self-service developer portal and provide secure, budget-aware paths for engineers to build and deploy AI features.
Serve as the primary digital-platform consumer and strategic partner of the Enterprise AI & Data organization, applying its foundational data and AI services to customer experiences.
Establish operating rhythms, API contracts, and shared SLAs with partner organizations while avoiding duplicated engineering efforts.