Senior AI Engineering Enablement Lead

This is a fully remote position, open to applicants in California.

📋 Description

• Design and lead AI engineering enablement initiatives, which include onboarding bootcamps, interactive workshops, in-depth technical sessions, and internal engineering forums.

• Create and uphold a role-specific AI engineering curriculum that aligns with organizational goals and emerging technical capabilities.

• Collaborate with engineering leaders and subject-matter experts to ensure training remains up-to-date with tools, architectures, development practices, and real-world engineering challenges.

• Evaluate capability and skills gaps within engineering teams and translate these insights into a prioritized enablement roadmap.

• Develop practical labs, coding exercises, reference implementations, and learning experiences based on the production environment.

• Assess program effectiveness through metrics such as participation, proficiency, adoption, and engineering outcomes.

• Utilize program insights to enhance the curriculum.

• Represent engineering enablement during discussions related to workforce, technology, and organizational planning.

• Experiment with new learning methodologies and expand programs that yield measurable results.

• Promote continuous learning, technical excellence, and knowledge-sharing across the engineering team.

⛳️ Requirements

• Over 7 years of professional software engineering experience, preferably including roles as a tech lead, Staff Engineer, or Engineering Manager.

• At least 2 years of experience in training, mentoring, or guiding technical enablement for software engineers.

• Strong practical proficiency in AI-assisted development, AI/ML engineering practices, and contemporary software development tools.

• Experience in designing technical curricula, workshops, labs, or structured learning programs tailored for engineers.

• Exceptional communication and facilitation skills.

• Ability to impart foundational concepts and engage senior engineers in detailed technical discussions.

• Experience in presenting to highly technical audiences and effectively addressing challenging questions.

• Knowledge of the ServiceNow Platform is preferred.

• Strong engineering judgment and credibility among seasoned engineers.

• A deep curiosity about AI development, emerging tools, coding practices, and the evolving role of software engineers.

• Capability to articulate complex concepts clearly without oversimplifying.

• Ability to identify audience disengagement or confusion and adapt teaching methods in real-time.

• Confidence in debating technical strategies, assessing trade-offs, and moving beyond scripted instruction.

• A practical, hands-on approach with a preference for learning through building, testing, and addressing real engineering challenges.

• A commitment to continuous learning, experimentation, and shared technical excellence.

🏝️ Benefits

• Equity (when applicable).

• Variable/incentive compensation.

• Health plans.

• Flexible spending accounts.

• 401(k) Plan with company match.

• Employee Stock Purchase Plan (ESPP).

• Matching donations.

• Flexible time away plan.

• Family leave programs.

• Flexible work persona / remote work eligibility based on assigned work location.

• Reasonable accommodations for the application process.