About The Position

Lead enterprise adoption of AI-native software engineering on the Replit platform. This is a platform enablement and transformation role, not a hands-on development role. Focus on adoption, governance, operating model, stakeholder management, change management, and enablement.

Requirements

  • 8+ years in consulting, platform enablement, developer platforms, or technology transformation.
  • Proven experience driving enterprise platform adoption, governance, and change management.
  • Strong senior/executive stakeholder management skills.
  • Experience with digital transformation, business process analysis, and ROI/business cases.
  • Understanding of enterprise architecture and Agile delivery.
  • Strong knowledge of Git, CI/CD, APIs, microservices, and AWS/Azure/GCP.
  • Familiarity with Replit, GitHub Copilot, Cursor, or similar AI-assisted development tools.
  • Understanding of LLMs, prompt engineering, agentic workflows, AI governance, and Responsible AI.
  • Technical fluency to make architecture and security decisions, but deep coding is not required.

Nice To Haves

  • Life Sciences or other regulated-industry experience is a strong plus.

Responsibilities

  • Drive enterprise-wide adoption of Replit and AI-native engineering.
  • Define adoption strategy, roadmap, governance, and operating model.
  • Establish standards, guardrails, quality controls, security, IP, and auditability for AI-generated code.
  • Partner with Engineering, Product, Architecture, Security, Infrastructure, and senior leadership.
  • Lead change management and build internal AI-native engineering champions.
  • Run discovery workshops and identify high-value AI modernization opportunities.
  • Develop business cases and ROI assessments.
  • Create training, playbooks, best practices, and reusable AI-native development assets.
  • Mentor engineering teams through the adoption process.
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