Director of Engineering - Applied AI

Flow Engineering
London, United Kingdom
On-site

Who this role is best for

Strong fit for senior engineers with hands-on coding experience and a background in systems engineering who can drive product execution in a fast-paced, high-ownership environment.

Best fit for

  • Senior engineers with hands-on coding experience and a background in systems engineering
    — “Background in aerospace, defense, automotive, or another regulated hardware domain.”
  • Candidates who have managed teams in early-stage companies with minimal process scaffolding
    — “2+ years managing engineers, ideally at an early-stage company or somewhere with little existing process scaffolding.”
  • Technical leaders who can review code, make architecture decisions, and contribute meaningfully to projects
    — “Stay technical. Review code, make architecture calls, and pick up meaningful work when a project needs it.”

Things to consider

  • The role demands direct engagement with enterprise customers in regulated hardware domains.
    — “Work directly with customers. Our users are systems and requirements engineers at hardware companies with a high bar”
  • Candidates must be comfortable with high-ownership environments and experimentation.
    — “High-ownership, fast-paced environment where experiments and iteration are the norm.”

How to stand out

  • Highlight experience with agentic workflows and LLM-powered features in production.
    — “Help set direction on how AI shows up in the product, working with engineers building agentic workflows and LLM-powered features.”
  • Emphasize your ability to manage and grow teams with a focus on onboarding and career development.
    — “Manage and grow a team of engineers, owning onboarding, feedback, and career development.”
  • Demonstrate your track record in shipping enterprise-grade software with measurable impact.
    — “Track record shipping software that enterprise customers depend on, with a clear understanding of what that changes about how you build.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • managing and growing a team of engineers
  • owning product execution end to end
  • helping establish engineering best practices
Typical background
8+ years developing production software2+ years managing engineers

Skills & requirements

Required

Software DevelopmentTeam ManagementCloud ServicesArchitecture

Preferred

Llm-powered FeaturesAgentic Workflows

Stack & domain

TypeScriptNode.jsPythonPostgreSQLLLM ApisOrchestration LibrariesLeadershipCommunicationProblem-solvingTeam ManagementAIEngineeringSoftware DevelopmentCloud Services

About the role

Original posting from Flow Engineering via Ashby

About Flow

Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor.

About the role

Flow is seeking a senior engineering manager to lead a team building the core of our platform. This is our first dedicated engineering management hire, and you will own delivery for a team of engineers while staying hands on with coding.

You will report to our head of engineering and work closely with product, design, and our forward deployed engineers.

What you'll do

  • Manage and grow a team of engineers, owning onboarding, feedback, and career development.
  • Own product execution end to end, from scoping with customers through ship, measure, and iterate.
  • Stay technical. Review code, make architecture calls, and pick up meaningful work when a project needs it.
  • Help establish engineering best practices
  • Work directly with customers. Our users are systems and requirements engineers at hardware companies with a high bar
  • Partner with recruiting to build the team
  • Help set direction on how AI shows up in the product, working with engineers building agentic workflows and LLM-powered features.

About you

  • 8+ years developing production software, including designing, testing, and operating services at scale in a cloud environment.
  • 2+ years managing engineers, ideally at an early-stage company or somewhere with little existing process scaffolding.
  • Track record shipping software that enterprise customers depend on, with a clear understanding of what that changes about how you build.
  • Still hands on with coding
  • Direct communicator who is able to give difficult feedback
  • Comfortable working in a high-ownership, fast-paced environment where experiments and iteration are the norm.

Nice to have

  • Background in aerospace, defense, automotive, or another regulated hardware domain.
  • Experience with requirements, ALM, PLM, or systems engineering tooling.
  • Experience managing teams building LLM-powered or agentic features in production.

Our stack

  • TypeScript/Node.js and Python for backend and AI services.
  • Modern LLM APIs and orchestration libraries for building agentic workflows.
  • Postgres and other managed cloud services for data and state.

Source: Flow Engineering careers (Ashby)

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