Engineering Manager, Agent Software Engineering

Decagon; City Of London; On-site; GBP 220,000 - 280,000; Full time

Job summary

A leading AI platform company in London is seeking an Engineering Manager to build a new office. You will lead a team to develop best-in-class AI agents, collaborating with enterprise customers to solve their needs. Ideal candidates will have extensive software engineering experience and a passion for mentoring. This role offers competitive compensation between £220k - £280k plus equity and benefits including medical coverage and flexible vacation policies.

Benefits

Medical, dental, and vision benefits

Take what you need vacation policy

Daily lunches, dinners and snacks

Qualifications

• 2+ years of engineering management experience.
• 7+ years of industry experience in software engineering.
• Comfort with systems failures within technology stacks.

Responsibilities

• Lead a team to design and build AI agents.
• Collaborate with enterprise customers to understand their needs.
• Partner with product and design to guide evolution of the platform.

Skills

Python

Typescript

Asynchronous programming

Job description

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.

Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.

We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.

About the Team

The Agent SWE team at Decagon deploys the most advanced conversational AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will guide a team to build on our industry‑leading AI agent platform, collaborate directly with customers and use your own creativity to devise long‑term, scalable solutions that support their needs.

Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.

About the Role

Decagon is opening our third office in London and looking for an Engineering Manager to build it from the ground up and shape its culture.

As a leader on the Agent Software Engineering team, you’ll have complete ownership and autonomy in shipping best‑in‑class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.

Engineers here own their work end‑to‑end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of junior engineers, dives deep into complex system challenges and builds elegant solutions that scale to millions of users.

In this role, you will

• Lead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
• Collaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agents
• Partner with product, design and research to identify cross‑customer trends that guide the evolution of Decagon’s agent building platform and research efforts
• Contribute to team strategy and help define the future of AI customer support agents

Your background looks something like this

• Have 2+ years of engineering management experience
• Have 7+ years of industry experience in software engineering
• Proficiency with Python, Typescript and asynchronous programming
• A high degree of comfort digging into systems failures within deep technology stacks using any tool necessary

Even better

• Prior experience working with multi‑modal models

Benefits

• Medical, dental, and vision benefits
• Take what you need vacation policy
• Daily lunches, dinners and snacks in the office to keep you at your best

Compensation

£220k - £280k + Offers Equity