Note: The job is a remote job and is open to candidates in USA. Fundraise Up is a global fundraising platform that helps nonprofits make donating fast, seamless, and accessible worldwide. The Senior AI Enablement Engineer will drive adoption of AI-assisted development across engineering and go-to-market teams through coaching, best-practice propagation, internal integrations, tool evaluation, and data-backed productivity measurement.
Responsibilities
- Enablement & coaching — work directly with engineers through 1:1s, pair programming, workshops, office hours, and cohorts to raise their effectiveness with AI-assisted development: prompting, workflow design, and model/tool selection. Identify under-adoption and lift teams up to the standard
- Best-practice propagation — capture what works (and what fails) in one team and systematically transfer it: living best-practice guides, prompt libraries, troubleshooting playbooks, and an internal AI knowledge base and skills registry
- Scale through champions — stand up and support a network of embedded AI champions so enablement scales past a single person
- Unblocking & feedback loop — be the go-to when engineers get stuck with AI tooling. Proactively tour teams to surface blockers early, aggregate them into patterns, and escalate systemic issues to leadership
- Internal integrations & tooling — build internal AI integrations and reusable tooling hands-on (Node.js/TypeScript, MCP) — from prototype to production independently, including auth, access control, security review, and CI/CD
- Evaluation & scouting — run structured evaluations of AI tools, models, and internal integrations; monitor the fast-moving landscape (Claude Code, Cursor, Copilot/Codex, new model releases) and deliver curated, actionable recommendations
- Measurement & impact — define and track adoption and productivity metrics by team, tool, and individual. Build dashboards on real usage and output — adoption/active-usage rate, assistant acceptance rate, PR throughput and cycle time — with a quality guardrail (change failure rate) so speed never comes at the cost of quality. Reference frameworks: DX Core 4, DORA
- Cross-functional partnering — partner with security/compliance on safe-by-design guardrails, and with GTM to translate field needs into internal enablement and feed adoption patterns back
Skills
- * Location: Georgia, Remote
- * Language: Fluent in English and Russian
- * Senior, hands-on engineer with a strong full-stack background — 7+ years shipping in a product-driven environment
- * Proficiency in **Node.js/TypeScript** for building services and integrations, with working knowledge of relational and document databases
- * Deep, hands-on fluency with agentic coding tools (Claude Code, Cursor, Codex) — how they work internally, not just how to use them — and with the end-to-end AI-assisted development workflow
- * Track record of taking internal integrations from prototype to production independently — design, authn/authz, deployment, security review, CI/CD
- * Experience building integrations against third-party APIs and agent-tooling protocols (e.g., **MCP**)
- * Working knowledge of GenAI building blocks: LLMs, prompting, RAG, orchestration, agentic flows, and AI/tooling security
- * Strong teaching, facilitation, and technical-writing skills — able to explain complex topics to engineers at different levels and produce guides, workshops, and walkthroughs
- * Cross-functional operating skill — comfortable influencing without authority and coordinating with IT, DevOps, security, and GTM
- * Ability to structure ambiguous, open-ended problems autonomously and drive them to completion, distilling many inputs (1:1s, feedback, surveys) into prioritized action
- * English proficiency C1 sufficient for written and verbal technical communication with external and internal audiences
- At Fundraise Up, AI is a default tool — not an experimental one
- We expect every team member to actively use AI in their day-to-day work, identify where AI can change the shape of problems in their function, and grow their fluency as the tools evolve
- You should already be using AI meaningfully in your work and understand where it adds value and how it can improve the way you operate
- * Familiarity with observability practices and stacks (OpenTelemetry, Prometheus, Grafana, Loki, or similar) — instrumenting usage and building dashboards
- * Experience deploying on edge or serverless compute (Workers, Durable Objects, KV, or similar)
- * Experience building and operating an internal plugin/package registry or marketplace with automated publishing
- * Prior developer-experience, developer-advocacy, or internal-tooling role
- * Instructional-design or learning-science experience — building durable learning, not one-off demos
- * Experience running technical workshops, hackathons, or enablement programs at organizational scale
- * Experience in a distributed, remote-first engineering organization
Benefits
- Private medical insurance for the employee and their family
- 24 paid vacation days per year
- 18 paid public holidays per year
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
- Co-working
- Remote working
- Equity options
Company Overview