AI Enablement Engineer

Join our team as an AI Enablement Engineer, where you will drive AI adoption and standardization across engineering. You will serve as the primary enablement partner for AI foundations, standards, and framework adoption, and help move the organization toward a standardized AI Development Lifecycle (AIDLC) process. You will also build and maintain a structured feedback loop with the engineering community, create lightweight enablement content, measure adoption, and support onboarding and engineering learning. This is a hands-on, builder-oriented role focused on driving a more standardized AIDLC across engineering.

• Drive AI adoption and standardization across engineering by serving as the primary enablement partner for AI foundations, standards, and framework adoption.
• Build and maintain a structured feedback loop with the engineering community to understand what is working, where friction exists, and which standards or workflows need refinement.
• Create lightweight, high-frequency enablement content, including bite-size recordings, short snippets, and practical reminders that keep engineers engaged with evolving AI standards and practices.

• Strong written and verbal communication skills, with the ability to translate complex technical ideas into concise, useful guidance for different audiences
• Strong experience using AI tools like Claude, ChatGPT, Gamma, Cursor, and related platforms to create content, package workflows, summarize information, and build reusable assets quickly from existing source material
• 5+ years of experience in developer productivity, developer experience, technical enablement, engineering communications, technical program leadership, or a similar role in a fast-moving technical organization
• Strong understanding of how modern engineering teams work, including software development lifecycles, code review, testing, developer tooling, platform/reliability concepts, and adoption of engineering standards
• Comfort partnering across engineering leadership, platform teams, operations, recruiting, and business stakeholders
• High ownership, strong judgment, attention to detail, and bias for action in ambiguous environments
• Ability to turn evolving technical standards into clear, practical, high-frequency enablement for engineers and managers
• Experience building feedback loops, adoption mechanisms, or learning systems that help organizations change behavior at scale
• Demonstrated ability to create reusable AI-assisted workflows, including prompt libraries, short-form enablement content, templates, and playbooks
• Familiarity with engineering productivity metrics, usage analytics, cost governance, or dashboarding related to AI tooling
• Experience in B2B SaaS, platform engineering, identity/fraud/risk, fintech, or other technically complex environments
• Experience running office hours, technical communities, guilds, brown bags, or other structured enablement programs
• Experience creating executive-ready materials from raw technical inputs
• Familiarity with tools such as Notion, Confluence, Slack, Jira, Glean, LearnUpon, Jellyfish, or knowledge automation systems