[Hiring] AI Enablement Engineer @LocalStack

Role Description

Embed across Engineering, GTM, People, Support, Finance, and Ops to identify where AI can remove the most operational friction, capturing opportunities for reliable automation of manual workflow.

• Build internal tools and agents end-to-end, connecting current tech stack to daily employee workflows.
• Drive real adoption through workshops, pairing, and office hours—measuring success by active usage and time saved rather than features shipped.
• Partner with Security to establish guardrails, access scoping, and audit trails that protect employee and customer data.
• Develop and use a framework to track the value of AI solutions (key metrics, targets, actuals, etc).

Qualifications

• 7+ years of total experience as a software engineer + MBB or Big4 consulting/product management or business operations in a B2B SaaS startup/scale up (big plus).
• Strong experience working with cross-functional stakeholders and driving value for them (documented adoption win, i.e. they took a team from zero to a workflow rebuilt around AI and can show the before/after).
• Strong experience using Codex, Claude Code or similar to ship working solutions (this may be in personal projects).
• Broad understanding of AI technology (LLM vs ML) and relevant patterns, approaches, etc.
• Experience in Python/TypeScript, MCP/agent-tooling patterns, evals & reliability and cost/token awareness.
• Familiarity with Git version control and use of GitHub, GitLab or similar tools.
• Strong process design instincts; able to map a workflow, identify failure points, and build something that scales.
• Good strategic/commercial awareness; you know what matters to a business and you can clearly articulate the connection/value of specific deliverables to those business goals and metrics.

Benefits

• Fully remote.
• Competitive salary.
• Annual company retreat.
• 2 extra company-wide holidays.
• Friendly and inclusive workplace culture (community guilds and online company events).