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Banking for startups: mercury.com
Senior Software Engineering Educator – AI Enablement
Location
California + 2 moreAll locations: California | New York | Oregon
Posted
126 days ago
Salary
$166.6K - $208.3K / year
Seniority
Senior
Job Description
Senior Software Engineering Educator – AI Enablement
Mercury
• Define and operationalize Mercury's AI-usage guidelines for engineering: what engineers should use AI for, what they shouldn't, and how those boundaries shift as skill and context deepen • Design structured checkpoints and assessment frameworks that detect when AI reliance is accelerating growth versus eroding foundational skills like debugging, code reading, and system reasoning • Create clear "when to unlatch AI" triggers for onboarding and training—criteria that tell engineers and their managers when someone has built enough foundation to lean more heavily on AI tooling • Build and iterate on AI-aware training materials that model the right balance: hand-crafted coding where it builds understanding, AI-assisted workflows where it multiplies leverage • Partner with managers and lead engineers across experience levels to embed AI-usage norms into 1:1s, growth conversations, and performance discussions—not as a separate initiative, but as part of how Mercury engineers develop • Stand up and evolve a mentorship-focused initiative for software engineers, ensuring mentors model thoughtful AI usage alongside strong engineering craft • Do the operational work that drives adoption: scheduling, facilitation, follow-ups, and iteration based on feedback • Collaborate closely with training team members and cross-functional partners to drive broader skill acquisition efforts
Job Requirements
- 5+ years of shipping quality software into production while mentoring peer software engineers in a start-up environment
- Hands-on experience with AI coding tools and a thoughtful, opinionated perspective on where they help and where they hinder
- Communicates clearly and gives actionable, direct, kind feedback
- Enjoys turning fuzzy goals into simple, repeatable programs
- Knows when to lean into 1:1 sessions or organizational legwork to drive adoption or improve learning outcomes
- Models a care of craftsmanship and healthy engineering habits—including deliberate, principled AI usage rather than reflexive reliance
- Loves turning passive, explanatory content into active, exercise-centric learning resources
- Is energized by the tension between productivity and skill development, and sees designing for both as a core challenge rather than a tradeoff to accept
- Haskell experience or strong willingness to learn Mercury's primary stack is a plus
Benefits
- Base salary
- Equity (stock options)
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