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Preply is a unicorn edtech company (Series D, $150M) transforming education through human-led, AI-enhanced learning. With 100,000+ tutors teaching 90+ languages across 180 countries, the company is scaling rapidly and embedding AI capabilities across its platform.
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 that move AI workloads from experimentation to reliable production systems.
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).
Key responsibilities:
- Set long-term engineering vision for both platforms, ensuring they operate as a coherent whole
- Partner with Product Manager to define outcomes, prioritize investments, and measure platform impact
- Lead, develop, and coach 8-12 engineers across two teams through clear expectations, feedback, performance management, and career growth
- Own hiring quality, team composition, and operating models as platforms and company evolve
- Guide architecture across model access, evaluation, observability, retrieval, agent orchestration, tools, state, memory, permissions, and control planes
- Translate strategy into realistic plans, balancing foundational investment with near-term product needs
- Align senior stakeholders across Product, Applied Science, Data, Security, and Engineering on platform standards and shared priorities
You will not be the primary implementer but will go deep on architecture and production AI systems, coach senior engineers, shape platform abstractions, and establish operational standards.
REQUIREMENTS:
- 8+ years of software engineering experience, including 5+ years in engineering management
- 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, 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
- Proficiency using Agentic AI beyond code generation to support architecture, planning, and decision-making, while retaining human judgment for architecture, people decisions, business logic, and security
- 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 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
