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Preply is a unicorn edtech platform (Series D, $150M) that connects 100,000+ tutors teaching 90+ languages to learners in 180 countries. The company is building human-led, AI-enhanced learning experiences at global scale.
You will lead the GenAI and Agentic Platform teams within Preply's AI Platform organization. This is a multi-team engineering management role overseeing approximately 8-12 engineers across two complementary teams. GenAI Platform owns shared model access, routing, evaluation, observability, prompt and configuration lifecycle, retrieval, grounding, and guardrails. Agentic Platform builds on those foundations with durable execution, tools, state, context, memory, permissions, human controls, agent evaluation, and runtime safety.
You will partner closely with a shared Product Manager, ML Platform leadership, and cross-functional stakeholders (Applied Science, Data, Security, Engineering) to shape platform strategy, priorities, adoption, and outcomes. Your responsibilities include: setting long-term engineering vision for both platforms as a coherent whole; defining outcomes and measuring impact in partnership with Product; leading, developing, and coaching 8-12 engineers through clear expectations, feedback, performance management, and career growth; owning hiring quality and team composition; guiding architecture across model access, evaluation, observability, retrieval, agent orchestration, tools, state, memory, permissions, and control planes; translating strategy into realistic plans that balance foundational investment with near-term product needs; and aligning senior stakeholders on platform standards, build-vs-buy decisions, and shared priorities.
This role requires strong technical judgment. You won't be the primary implementer, but you will go deep on architecture and production AI systems, coach senior engineers, shape platform abstractions and operational standards, and maintain speed, quality, and predictability.
REQUIREMENTS:
- 8+ years of software engineering experience, including 5+ years in engineering management and experience leading multiple teams or a multi-squad technical area
- Track record of hiring, coaching, and retaining high-performing teams
- Strong technical depth in platform engineering, backend or distributed systems, ML infrastructure, or developer infrastructure
- Practical experience with production GenAI or Agentic systems; ability to reason about model access, evaluation, observability, retrieval, agent orchestration, tool use, state, permissions, reliability, cost, and safety
- AI Expertise: use Agentic AI beyond code generation to support architecture, planning, and decision-making while retaining human judgment for architecture, people decisions, business logic, and security; establish quality gates and safety nets for team workflows
- Experience leading platform products with strong instinct for self-service, API design, developer experience, adoption, and avoiding unnecessary complexity
- Clear communication and stakeholder leadership; ability to align teams with different incentives, make sound decisions with incomplete information, and revisit assumptions as the ecosystem changes
NICE TO HAVE:
- Experience managing teams that built AI or ML platforms used by multiple teams
- Experience with agent frameworks or durable workflow technologies (LangGraph, OpenAI Agents SDK, Temporal)
- Hands-on familiarity with GenAI evaluation and observability, prompt or model lifecycle, retrieval systems, multi-provider routing, or open-model serving
- Experience making build-vs-buy decisions without locking the organization into one provider or framework
- Experience measuring platform success through adoption, customer outcomes, and engineering leverage rather than infrastructure delivery alone
