Engineering Manager, AI Models Infrastructure London, England

Engineering Manager, AI Models Infrastructure London, England

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Intercom

At a Glance

  • Tasks: Lead a team to build and operate AI models infrastructure for cutting-edge customer service.
  • Company: Join Fin, a fast-growing AI Customer Agent company transforming customer experiences.
  • Benefits: Enjoy competitive salary, equity, flexible time off, and comprehensive health benefits.
  • Other info: Hybrid working model with a supportive and inclusive culture.
  • Why this job: Make a real impact in AI while leading a high-performing engineering team.
  • Qualifications: Experience in ML model training, strong leadership, and a passion for AI.

The predicted salary is between 80000 - 100000 £ per year.

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration.

Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.

What’s the opportunity? We’re hiring an Engineering Manager for our AI Models Infrastructure Team in the AI Group. The AI Models Infrastructure team builds and operates the foundational infrastructure that empowers our teams to train and run Fin's own AI models. This is a highly technical EM role - you’ll lead a team of expert engineers in a fast-evolving technical domain. In order to empower this team to be most effective, you will need prior experience in AI, and the appetite to continually invest in deepening your technical knowledge.

  • Lead a high-performing team building the platform and infrastructure that power Fin's AI capabilities.
  • Magnify the team’s effectiveness, whether that means removing impediments, or finding ways to accelerate their progress.
  • Support teams of ML Scientists and Engineers building AI powered capabilities.
  • Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation.
  • Empower the engineers on the team to act with agency and maximize their impact.
  • Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow.

What skills do I need?

  • Experience training ML models and operating them in production, at scale.
  • Experience leading infra or platform teams.
  • Strong prior experience working as an engineer.
  • Strong technical judgment and communication skills, enabling you to advocate for the team’s needs.
  • Adaptable leadership style suited to a group that will grow quickly, and change shape over time.
  • Curiosity and enthusiasm for AI.

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

  • Competitive salary and equity in a fast-growing start-up.
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
  • Pension scheme & match up to 4%.
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
  • Flexible paid time off policy.
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.
  • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.
  • MacBooks are our standard, but we also offer Windows for certain roles when needed.

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics.

Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Engineering Manager, AI Models Infrastructure London, England employer: Intercom

Fin is an exceptional employer, offering a dynamic work environment in London where innovation thrives. With a strong focus on employee well-being, we provide competitive salaries, equity options, and comprehensive health benefits, alongside a flexible paid time off policy. Our culture promotes collaboration and inclusivity, empowering employees to grow their skills in AI while working with cutting-edge technology in a supportive team atmosphere.

Intercom

Contact Details:

Intercom Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Engineering Manager, AI Models Infrastructure London, England

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your experience aligns with their mission. Practise common interview questions and have your own questions ready to show your interest.

Tip Number 3

Showcase your skills! If you’ve got a portfolio or any projects that highlight your expertise in AI or engineering, make sure to share them during the interview. It’s a great way to demonstrate your capabilities beyond just words.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team at Fin!

We think you need these skills to ace Engineering Manager, AI Models Infrastructure London, England

Experience training ML models
Operating ML models in production
Leading infrastructure or platform teams
Strong technical judgment
Communication skills
Adaptable leadership style
Curiosity for AI

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Engineering Manager role. Highlight your experience in AI and infrastructure, and show us how your skills align with our mission at Fin.

Show Your Passion for AI:We love seeing candidates who are genuinely excited about AI! Share any projects or experiences that demonstrate your curiosity and enthusiasm for the field, as it really helps us get to know you better.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we can’t wait to hear from you!

How to prepare for a job interview at Intercom

Know Your AI Inside Out

Make sure you brush up on your knowledge of AI models and infrastructure. Be ready to discuss your experience with training ML models and operating them at scale. This role is highly technical, so demonstrating your expertise will show that you're the right fit.

Showcase Your Leadership Style

Prepare to talk about your leadership experiences, especially in fast-evolving environments. Think of examples where you've empowered your team or removed obstacles for them. This will highlight your adaptability and ability to lead a growing team effectively.

Align with Fin's Core Values

Familiarise yourself with Fin's core values and be ready to discuss how they resonate with you. Share specific examples from your past that demonstrate how you embody these values, as cultural fit is just as important as technical skills.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, ongoing projects, and future challenges. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals.