The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the AI Platform Team

You'll join the AI Platform team inside our Engineering department. The team builds the tooling and integrations that make AI-assisted development the frictionless default across engineering — and works hands-on with non-engineering teams to turn that capability into real, measured productivity. This role is the human-and-integration side of that mission: you multiply what our engineers can do with AI. You will not be building the agentic development platform itself (agent runner, one-shot PR agents, dev containers, orchestration) — a separate team in the same org owns that.

About the Role

As an AI Enablement Engineer, you multiply the output of engineering (and GTM) teams by driving effective adoption of AI-assisted development. You work at the intersection of engineering culture and internal tooling — coaching engineers, propagating proven practices, removing adoption blockers, and building the internal integrations that make AI-driven work the standard. You measure impact through real, data-backed productivity gains rather than sentiment. Success is whether people actually change how they build — not how many sessions you ran.

What You'll Do

• 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.

Requirements

• 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.

Nice To Have

• 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.

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.

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Compensation

• The compensation range for this role is: 702,000 - 775,000 Serbian dinars gross per month.
• Final compensation will be determined based on relevant experience, skills, qualifications, and alignment with the role's requirements.

Benefits

• Private medical insurance for the employee and their family
• 20 paid vacation days per year
• 15 paid public holidays per year
• 5 company-paid sick leave days
• 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