# AI Enablement Engineer

**Company:** [Socure](https://hotfix.jobs/companies/socure)
**Location:** New York, NY, San Francisco, CA, Seattle, WA
**Role:** Developer Relations
**Salary:** $210k – $230k/yr
**Experience:** 5+ years
**Skills:** Ai Development Lifecycle, Developer Productivity, Developer Experience, Claude, ChatGPT, Gamma, Cursor, Prompt Engineering, Technical Writing, Software Development Lifecycle, Code Review, Testing, Developer Tooling, Adoption Metrics, Jira
**Posted:** 2026-09-09

> Drives standardized AI adoption across engineering by turning technical standards, tooling patterns, and workflows into practical enablement, feedback systems, and measurable programs. Requires 5+ years in developer productivity, technical enablement, engineering communications, or technical program leadership, plus strong familiarity with modern engineering practices and AI tools.

## Job Description

## Responsibilities
- Drive AI adoption and standardization across the engineering organization.
- Enable adoption of AI foundations, standards, frameworks, tooling patterns, and best practices.
- Help standardize the AI Development Lifecycle (AIDLC) by making workflows, expected behaviors, and quality bars clear and easy to adopt.
- Partner with platform, engineering, and operations leaders to integrate AI into default engineering practices.
- Provide practical support through examples, demos, applied workflows, office hours, hack sessions, and team enablement sessions.
- Build feedback loops to identify adoption blockers, tooling gaps, workflow issues, and opportunities to improve AI standards.
- Translate field feedback into updates to playbooks, templates, standards, and training materials.
- Create short recordings, practical reminders, do-and-don’t guides, workflow examples, review checklists, and quick-reference materials.
- Use AI tools to convert source materials into reusable enablement assets and build repeatable prompt, template, and content-generation workflows.
- Define dashboards and metrics for AIDLC adoption, AI tool usage, and productivity impact.
- Create data-backed narratives, leadership updates, success stories, and technical storytelling about AI adoption.
- Support engineering onboarding and role-specific learning related to approved AI tools and workflows.

## Requirements
- 5+ years of experience in developer productivity, developer experience, technical enablement, engineering communications, technical program leadership, or a similar technical role.
- Strong understanding of software development lifecycles, code review, testing, developer tooling, platform and reliability concepts, and engineering standards.
- Experience using AI tools such as Claude, ChatGPT, Gamma, Cursor, and related platforms.
- Demonstrated ability to create reusable AI-assisted workflows, prompt libraries, short-form enablement content, templates, and playbooks.
- Ability to translate evolving technical standards into clear, practical guidance for engineers and managers.
- Strong written and verbal communication skills.
- Experience building feedback loops, adoption mechanisms, or learning systems that drive behavioral change at scale.
- Ability to partner across engineering leadership, platform teams, operations, recruiting, and business stakeholders.
- High ownership, sound judgment, attention to detail, and a 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 AI tooling dashboards.
- Experience running office hours, technical communities, guilds, brown bags, or structured enablement programs.
- Familiarity with Notion, Confluence, Slack, Jira, Glean, LearnUpon, Jellyfish, or knowledge automation systems.
- Experience creating executive-ready materials from raw source content.


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