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Senior Engineering Manager (GenAI & Agentic Platforms)

preplyLondonEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior · 8+ yrs
Posted
28 Sept 2026
Status
Open · checked 9d ago

About this role

This role suits an experienced engineering leader with a strong technical background in platform engineering and production AI who wants to guide multiple teams in London. The Senior Engineering Manager (GenAI & Agentic Platforms) at Preply involves directing two complementary teams focused on generative AI and agentic systems to transform global education.

Role Overview

Preply is seeking a Senior Engineering Manager to lead the GenAI and Agentic Platform teams in London. In this multi-team leadership role, the manager oversees approximately 8 to 12 engineers across two squads while partnering closely with ML Platform leadership. The position focuses on shaping engineering strategy, coaching senior talent, and guiding the architecture that takes AI workloads from experimentation to reliable production systems.

Key Responsibilities

Set the long-term engineering vision for GenAI Platform and the Agentic Platform to ensure they operate as a single, coherent platform.
Partner with the Product Manager across both teams to define outcomes, prioritize investments, and measure platform impact.
Lead and develop approximately 8-12 engineers 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 while surfacing trade-offs and maintaining speed, quality, and predictability.
Align senior stakeholders across Product, Applied Science, Data, Security, and Engineering on platform standards, build-versus-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.
Experience using Agentic AI beyond code generation to support architecture, planning, and decision-making while retaining human judgment.
Experience leading platform products with a strong instinct for self-service, API design, developer experience, adoption, and avoiding unnecessary complexity.
Clear communication and stakeholder leadership to align teams with different incentives and make 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-versus-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.

Skills and Tools

LangGraph
OpenAI Agents SDK
Temporal

Salary and Benefits

Competitive financial package with equity, leave allowance, and health insurance
Generous monthly allowance for lessons on Preply, learning and development budget, and time off for self-development
Access to free mental health support platforms
Access to Gympass-partnered wellness and gym centers throughout London
Open, collaborative, dynamic, and diverse culture

About the Company

Preply has reached unicorn status with a $150M Series D funding round, accelerating its vision to transform education through human-led, AI-enhanced learning. Today, over 100,000 tutors teach more than 90 languages to learners across 180 countries, shaping the future of learning at a global scale.

How to Apply

Candidates should apply directly on the official Preply careers page.

Skills and tech stack

LangGraphOpenAI Agents SDKTemporalDistributed Systems

Questions candidates ask

Where is this role located?

This position is located in London.

How many direct reports will this manager have?

The manager will lead approximately 8-12 engineers across two teams.

What experience is required for the position?

Candidates need 8+ years of software engineering experience, including 5+ years in engineering management with multi-squad or multi-team leadership experience.

What specific technologies are mentioned as nice-to-have experience?

Nice-to-have technologies include LangGraph, OpenAI Agents SDK, and Temporal.

What are some of the employee benefits offered?

Benefits include a competitive financial package with equity, health insurance, a learning and development budget, a Preply lesson allowance, free mental health support, and Gympass-partnered wellness access in London.

Ready to apply?

The application is on the official preply careers page.

Apply on company site