Director, Integration & Automation Engineering

Oura Oura · Consumer · New York, NY +1 · IT

Director of Integration & Automation Engineering to build and lead a team responsible for Oura's enterprise integration platform, iPaaS, and automation delivery. The role will focus on connecting business systems, enabling operational excellence, and positioning the integration stack to absorb emerging AI and agentic patterns. Key responsibilities include leading a global team, owning the integration platform, defining operating models, establishing reliability practices, and partnering with AI Productivity teams on agents and AI-augmented workflows.

What you'd actually do

  1. Build and lead a high-performing, globally distributed Integration & Automation Engineering team, transitioning from contractor-led delivery to a durable FTE organization without loss of delivery velocity.
  2. Own Oura’s Business Technology Services (BTS) and core integration platform, delivering reusable API- and event-driven services that decouple SaaS applications from the ERP and reduce point-to-point integration debt.
  3. Own Workato (our iPaaS platform of record) as a delivery surface for enterprise integrations and automations, establishing patterns that are observable, secure, and reusable across Business Technology teams, and enhancing the iPaaS environment to be enterprise-grade with proper CI/CD pipelines and code-promotion practices.
  4. Define and run the operating model for integrations and automation across IT — intake, prioritization, capacity management, and roadmap — in close partnership with Enterprise Architecture and Business Technology directors.
  5. Establish and embed reliability practices (observability, SLOs, on-call, incident management, runbooks) for mission-critical integration services so order, ERP, finance, and CX flows remain stable across time zones.

Skills

Required

  • 12+ years building and operating integration platforms, iPaaS, or API services in modern SaaS environments, including ERP and other mission-critical business systems.
  • 5+ years managing engineers (including senior/staff-level ICs) and technical program leaders, with responsibility for hiring, performance management, and building healthy, distributed engineering teams.
  • 3+ years developing digital AI products and AI-augmented integrations, using agentic coding techniques (including “vibe coding” and similar LLM-driven development approaches), and leading engineering teams that create and manage agent-developed applications and integrations in production.
  • Deep technical experience with modern integration patterns (event-driven, REST/GraphQL, webhooks) and at least one major iPaaS platform (e.g., Workato, Boomi, MuleSoft, Tray, n8n) plus a cloud-native integration stack (AWS, Azure, or GCP).
  • Proven track record operating engineering platform teams whose primary customers are other engineering or business teams, including clear intake discipline, capacity planning, SLAs/SLOs, and outcome-focused roadmaps.
  • Experience working in or around SOX-relevant systems and ITGC controls, with an appreciation for audit-defensible change management in integration and automation code paths.
  • Demonstrated ability to lead engineers across multiple time zones, with thoughtful approaches to on-call, incident response, communication, and collaboration in a distributed environment.
  • Genuine curiosity and practical experience with AI-augmented workflows — you understand how agents, MCP-style patterns, or LLM-based assistants can support integration and operations work, and you know how to separate real opportunities from hype.
  • Strong communication and stakeholder management skills; able to translate integration and platform strategy into clear narratives for executives, finance leaders, and engineering peers, and to influence prioritization across functions.

What the JD emphasized

  • AI-augmented integrations
  • agentic coding techniques
  • agent-developed applications and integrations in production
  • SOX-relevant systems
  • ITGC controls
  • audit-defensible change management

Other signals

  • AI-augmented workflows
  • agentic patterns
  • enterprise integration platform
  • automation delivery