At a Glance
- Tasks: Lead a team to build and enhance AI infrastructure for cutting-edge customer service solutions.
- Company: Join Fin, a fast-growing AI company transforming customer experiences globally.
- Benefits: Enjoy competitive salary, equity, flexible time off, and comprehensive health benefits.
- Other info: Embrace a hybrid work culture with opportunities for personal and professional growth.
- Why this job: Make a real impact in AI while working with a passionate and innovative team.
- Qualifications: Experience in ML model training, leadership, and strong technical skills required.
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, comprehensive health benefits, and a flexible paid time off policy, all while fostering a culture of collaboration and inclusivity. Our commitment to professional growth ensures that as an Engineering Manager, you will have the opportunity to lead a talented team and expand your expertise in the rapidly evolving field of AI.
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 refer you directly.
✨Tip Number 2
Prepare for those interviews! Research Fin's AI models and infrastructure, and be ready to discuss how your experience aligns with their mission. Show them you're not just another candidate, but someone who truly gets what they do.
✨Tip Number 3
Practice your pitch! Be clear about your skills and how they can benefit Fin. A confident, concise introduction can set the tone for the rest of the conversation.
✨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 the team at Fin.
We think you need these skills to ace Engineering Manager, AI Models Infrastructure London, England
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 what we're looking for.
Show Your Passion for AI:We love candidates who are genuinely excited about AI! Share any projects or experiences that showcase your enthusiasm and curiosity in this field. It’ll help you stand out!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We want to understand your experience and skills without having to decode your message.
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 in production. 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.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice articulating your thoughts clearly, especially when discussing technical concepts. Being able to advocate for your team's needs will set you apart as a candidate who can bridge the gap between engineering and management.
✨Align with Fin's Core Values
Familiarise yourself with Fin's core values and think about how they resonate with you. Be prepared to share why these values matter to you and how you embody them in your work. This will demonstrate that you're not just a technical fit but also a cultural one.
