2 дня назад
Engineering Team Lead, Learning (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Team Lead, Learning (AI): Owning and evolving a Learning platform for onboarding, training, quizzes, certifications, and compliance reporting with an accent on scalable architecture, hands-on TypeScript development, and AI-assisted engineering. Focus on leading a team of three to five engineers, shipping roadmap increments, designing fault-tolerant distributed systems, and building LLM-powered features with effective evaluation and guardrails.
Location: Copenhagen or London office, or remote within European time zones
Company
is an AI-native people operating platform for hospitality and retail, helping frontline teams with onboarding, training, daily tasks, and workforce operations.
What you will do
- Lead a team of three to five engineers through regular 1:1s, feedback, hiring, onboarding, and career development.
- Own the Learning domain end to end, including architecture, data models, quality, performance, technical debt, and on-call health.
- Spend approximately half of the time writing code and reviewing changes across the TypeScript-based frontend, backend, and mobile stack.
- Work with product and design to break the roadmap into shippable increments, manage scope, and deliver predictably.
- Improve AI-assisted development practices through agent workflows, review flows, evaluations, and team standards.
- Collaborate on shared architecture and engineering standards across Learning, scheduling, employee data, communications, and AI.
Requirements
- 6+ years of full-stack engineering experience with React, React Native, TypeScript, and Node.
- Previous experience leading engineers as a team lead, manager, or tech lead with responsibility for team output.
- Ability to design highly available, fault-tolerant, and scalable distributed systems.
- Experience working in a startup or scale-up environment with pragmatic, fast-moving development.
- Fluent spoken and written English.
- Based within European time zones, working from the Copenhagen or London office or remotely.
Nice to have
- NestJS experience.
- MongoDB experience.
- Experience with Learning, LMS, e-learning, or other content-heavy products.
- Experience shipping LLM-powered features to production, including evaluations and guardrails.
Culture & Benefits
- Opportunities for rapid growth, internal promotion, and meaningful responsibility.
- AI is integrated throughout the product and engineering workflow.
- New equipment is provided for the role.
- Active coaching, direct feedback, autonomy, and a strong learning culture.
- Office lunches, Friday bars, padel tournaments, wine tastings, offsites, and a stocked fridge.
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