Senior Engineering Manager (GenAI & Agentic Platforms)

Responsibilities

• ▹Set the long-term engineering vision for GenAI Platform and Agentic Platform, so they operate as a single, coherent platform
• ▹Partner with the Product Manager across both teams to define outcomes, prioritize investments and measure the impact of the platforms
• ▹Lead and develop approximately 8-12 engineers across two teams through clear expectations, direct feedback, performance management, career growth and coaching
• ▹Own hiring quality, team composition, evolving team boundaries and operating models as the platforms and company change
• ▹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, build-vs-buy decisions and shared priorities

Requirements

• ▹8+ years of software engineering experience, including 5+ years in engineering management and experience leading multiple teams or a multi-squad technical area
• ▹A 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 and the ability to reason about model access, evaluation, observability, retrieval, agent orchestration, tool use, state, permissions, reliability, cost and safety
• ▹You use Agentic AI beyond code generation to support architecture, planning and decision-making, while retaining human judgment, and establish quality gates and safety nets for team workflows
• ▹Experience leading platform products, with a strong instinct for self-service, API design, developer experience and adoption
• ▹Clear communication and stakeholder leadership, aligning teams with different incentives and making sound decisions with incomplete information

Nice to have

• ▹Experience managing teams that built AI or ML platforms used by multiple teams
• ▹Experience with agent frameworks or durable workflow technologies such as LangGraph, OpenAI Agents SDK or 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

Soft skills

What we offer

• ▹Open, collaborative, dynamic and diverse culture
• ▹Generous monthly allowance for lessons on Preply.com
• ▹Learning & Development budget, including time off for self-development
• ▹Competitive financial package with equity and leave allowance

About the company

Preply creates life-changing learning experiences: it helps people find the right tutor, craft a personalised learning journey and stay motivated. 100,000+ tutors teach 90+ languages to learners in 180 countries, and the company recently reached unicorn status with a $150M Series D.