AI Enablement Engineer

The role

The AI Enablement Engineer will accelerate AI adoption across engineering by turning standards, tooling patterns, and workflows into repeatable practice. This role drives a standardized AI Development Lifecycle (AIDLC) and creates enablement content to connect engineering leaders with the broader organization.

What you will do

• Drive AI adoption and standardization across engineering
• Serve as the primary enablement partner for AI foundations and framework adoption
• Evangelize AI tooling patterns and best practices
• Build and maintain a structured feedback loop with the engineering community
• Coordinate continuous improvement of AI standards and frameworks
• Create lightweight, high-frequency enablement content like recordings and snippets
• Use AI tools to convert notes and strategy docs into reusable assets
• Partner with engineering leads to define dashboards and metrics for AIDLC adoption
• Contribute to technical storytelling regarding AI progress and metrics
• Support engineering onboarding with approved AI tools and workflows

Required qualifications

• 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 org
• Strong understanding of how modern engineering teams work, including software development lifecycles, code review, testing, developer tooling, platform/reliability concepts, and adoption of engineerin
• 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
• Demonstrated ability to create reusable AI-assisted workflows, including prompt libraries, short-form enablement content, templates, and playbooks
• Ability to turn evolving technical standards into clear, practical, high-frequency enablement for engineers and managers
• Strong written and verbal communication skills
• Experience building feedback loops, adoption mechanisms, or learning systems that help organizations change behavior at scale
• 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

Nice to have

• Experience in B2B SaaS, platform engineering, identity/fraud/risk, fintech, or other technically complex environments
• Familiarity with engineering productivity metrics, usage analytics, cost governance, or dashboarding related to AI tooling
• Experience running office hours, technical communities, guilds, brown bags, or other structured enablement programs
• Familiarity with tools such as Notion, Confluence, Slack, Jira, Glean, LearnUpon, Jellyfish, or knowledge automation systems
• Experience creating executive-ready materials from raw technical inputs

About the company

Socure is building the identity trust infrastructure for the digital economy by verifying identities in real time and stopping fraud. The company aims to build the future of identity with a team that holds a high bar for itself.