Job DescriptionFabletics is looking for a
AI Enablement Engineer for our internal AI and product teams.
This role focuses on closing the last mile: making that work secure, scalable, tested, observable, and maintainable so it can reach production. The ideal candidate is a strong engineer who is also a patient enabler, someone who multiplies other people's output by unblocking, reviewing, and hardening their work rather than taking it over.
This position will report to
VP, Architecture and AI TechnologiesWhat you will do:- Design and lead training for our Builder Program
- Advise Builders on architecture and tooling early, so they start a use case on a sound foundation instead of refactoring later.
- Give Builders a technical safety net as they build: answer questions, unblock, and steer decisions without taking the work over.
- Review, harden, and deploy Builder-created apps, covering secure auth and secrets handling, data governance, testing, CI/CD, monitoring, and documentation.
- Define the production path and a clear support model for each app, including who owns it after launch, so you don't become the default permanent owner of everything.
- Build reusable templates, starter kits, and guardrails that turn one good solution into a pattern everyone can reuse.
- A few times a quarter, take on complex, cross-functional, or strategic builds end-to-end: scope, architect, build, and ship them tested, documented, and packaged as reusable templates.
- Make Builders measurably more self-sufficient over time, so each new build is faster and safer than the last.
- Partner with engineering, security, and data teams when builds need deeper review, and raise the bar on production standards across the company.
What you can bring:- 5 of professional software development experience, at a senior or staff level of judgment and ownership.
- Deep, hands-on experience across the full path to production: architecture, secure auth and secrets handling, data modeling and governance, testing, CI/CD, monitoring, and documentation.
- Experience building AI applications, including LLM APIs, prompt engineering, agents, RAG, and evals/testing, with sound judgment about where AI fits and where it doesn't.
- Comfort across a modern, fast-moving stack such as Next.js and Vercel, Supabase and Postgres, GitHub, and automation tools like Zapier, Make, n8n, or Retool. These tools are illustrative; the ability to learn and reason across a stack matters more than any specific one.
- Proven ability to teach, unblock, and review the work of non-engineers patiently and pragmatically, raising the quality bar without seizing the keyboard.
- Pragmatism about production standards: you know which corners can be cut for an internal prototype and which absolutely cannot.
- Experience building internal platforms, developer enablement, or "paved road" tooling a plus.
- Ideal candidate brings foundational AI literacy, including experience using generative AI tools, and a proactive mindset to experiment with new technologies to drive productivity and innovation.
- Background in technical coaching, mentorship, or enabling low-code/citizen developers a plus.
- Familiarity with AI-assisted frontend tools such as v0, and with edge/serverless patterns, a plus.
Where We Are:- This role will be based in our El Segundo Headquarters
Compensation & Total Rewards: At Fabletics we believe work and life should fit together! We continue to build a culture of flexibility, to empower you to do your best and put yourself first. Our Total Rewards program rewards employees for their hard work, supporting their health, well-being, families, and ultimately their life journey. Total Rewards at Fabletics includes:
-Hybrid Work Schedule*
-Discretionary Paid Time Off*
-Summer Fridays*
-Healthcare Plans
-Employee Discounts
-401k
-Annual Bonus Program
-Equity Program*
-And More
*Varied for retail, fulfillment and fully remote roles.
The annual base salary range for this position is from $160,378-$180,000. The range provided includes the base salary that Fabletics expects to pay for the role. Offered base salary will be dependent on factors including the scope and complexity of the role, candidate's related work experience, subject matter expertise and work location.
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