Annapurna logo

Director of Engineering

Annapurna
Department:Engineering Manager
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Director
Estimated Salary:£120,000 - £180,000
Skills:
ENGINEERING MANAGEMENTFULL-STACK SYSTEMSAPI-DRIVEN ARCHITECTUREAIMLGENAILLMSPROMPT ENGINEERINGRAGAGENT-BASED SYSTEMSDATA SCIENCEDATA ENGINEERINGTYPESCRIPTNODECLOUD PLATFORMSSNOWFLAKEAGILESCRUM
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Job Description

Posted on: April 8, 2026

Director of Engineering – Platform Intelligence

📍Full Remote (UK /Germany/USA)

*Please Check the remote policy above before Applying*

We’re partnering with a high-growth, product-led SaaS business to hire a Director of Engineering to lead a Platform Intelligence function focused on AI-driven product innovation.

This is a hands-on leadership role combining engineering management, delivery ownership, and cutting-edge work across GenAI and data-driven product features.

The Role

You’ll lead a cross-functional squad (engineers, QA, product, design) delivering AI-powered features and data-driven capabilities into a modern SaaS platform.

This role sits at the intersection of engineering, data science, and product, with a focus on turning complex models and emerging AI capabilities into real, user-facing value.

What You’ll Be Doing

  • Leading the delivery of AI and GenAI-powered product features end-to-end
  • Translating data science outputs into scalable platform features (UI + APIs)
  • Driving adoption of AI tooling and AI-assisted development practices
  • Owning roadmaps, delivery planning, and execution across multiple initiatives
  • Managing and developing a high-performing engineering team
  • Collaborating with Product, Design, and Data teams to deliver impactful solutions
  • Improving delivery predictability, quality, and engineering processes
  • Managing cross-team dependencies and stakeholder expectations
  • Partnering with architecture on technical direction and system design

What They’re Looking For

  • Proven experience leading engineering teams in SaaS environments
  • Strong understanding of full-stack systems and API-driven architecture
  • Experience delivering AI / ML / GenAI-powered features into production
  • Solid knowledge of LLMs, prompt engineering, RAG, or agent-based systems
  • Experience working closely with Data Science / Data Engineering teams
  • Strong delivery mindset with experience owning roadmaps and execution
  • Comfortable operating in fast-paced, cross-functional environments

Nice to have:

  • Experience with modern stacks (TypeScript, Node, cloud platforms)
  • Exposure to data platforms / warehousing (e.g. Snowflake)
  • Strong Agile / Scrum background

Why Join?

  • Lead a team building next-generation AI-powered SaaS products
  • High-impact role with real ownership across product and engineering strategy
  • Fully remote, globally distributed team
  • Opportunity to shape how AI is embedded into real-world products at scale
Originally posted on LinkedIn

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