At a Glance
- Tasks: Lead a team building AI infrastructure and empower engineers to maximise their impact.
- Company: Join Fin, a leading AI Customer Service company transforming customer experiences.
- Benefits: Enjoy competitive salary, equity, flexible time off, and comprehensive health benefits.
- Other info: Hybrid work culture with a focus on collaboration and inclusivity.
- Why this job: Be at the forefront of AI technology and make a real difference in customer service.
- Qualifications: Experience in ML models, strong leadership skills, and a passion for AI.
The predicted salary is between 80000 - 100000 € per year.
Fin is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent is the most advanced customer service AI agent on the market, allowing businesses to deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Founded in 2011 and trusted by nearly 30,000 global businesses, Fin is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently 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 Intercom’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.
What will I be doing? You will:
- Lead a high-performing team building the platform and infrastructure that power Intercom’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.
Benefits: 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.
- Regular compensation reviews - we reward great work!
- 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.
#LI-HybridPolicies
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. 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.
Is this role not quite what you're looking for? Join our Talent Community to stay connected with us.
Engineering Manager, AI Models Infrastructure in London employer: Fin
At Fin, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our employees enjoy competitive salaries, equity options, and a comprehensive benefits package, including flexible paid time off and health insurance for you and your dependents. With a commitment to employee growth and a hybrid working policy, we empower our team members to thrive both personally and professionally in the exciting field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager, AI Models Infrastructure in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Fin or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects related to AI models or infrastructure, make sure to highlight them. Share your work on platforms like GitHub or LinkedIn to catch the eye of recruiters.
✨Tip Number 3
Prepare for the interview by diving deep into Fin’s products and values. Understand how their AI agent works and think about how your experience aligns with their mission. This will help you stand out as a candidate who truly gets it.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Fin team.
We think you need these skills to ace Engineering Manager, AI Models Infrastructure in London
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 to deliver incredible customer experiences.
Showcase Your Leadership Style:We want to know about your leadership approach! Share examples of how you've empowered teams in the past, especially in fast-paced environments. This will help us see how you can magnify our team's effectiveness.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate direct communication that gets to the point while still showcasing your personality.
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 love seeing applications come directly from our site!
How to prepare for a job interview at Fin
✨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 for the team.
✨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 be crucial, so make sure you can convey your ideas confidently.
✨Align with Company Values
Familiarise yourself with Fin's core values and culture. During the interview, express how your personal values align with theirs. This shows that you're not just a technical fit but also a cultural one, which is important for long-term success in the company.
