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. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.
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.
Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.
Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!
We’re looking for Senior Product Engineers to join the AI Infrastructure team to help Fin build AI-powered products. Product Engineers in AI infrastructure work closely with other ML engineers and our ML Scientists teams. You will deeply understand our product, our ML tech stack, how we develop product, and how we can accelerate that process further.
The wider AI group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
AI infrastructure is building a platform to move extremely quickly, adapting to new AI advancements in a matter of days, but providing the safety shield to other engineers so our customers always get a good service. We often provide services at the core of AI systems, and write framework-level code that other engineers and scientists in the AI group use daily.
We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model and change we deploy.
If you are an experienced backend engineer who takes an analytical approach to development and has some hands-on experience with ML systems and platforms, we'd love to hear from you!
- Build the systems that power Fin's flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.
- Work alongside our ML engineers and ML Scientists to bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use.
- Partner with ML engineers and ML scientists to build the underlying platform that helps them shape the best AI-powered product experience for our customers..
- Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
- Play an active role in the hiring, mentoring, and career development of other engineers.
- Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Fin.
- 5+ years of experience shipping high-quality products, preferably backend.
- You can demonstrate significant impact in the work that you have done.
- You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.
- Deep knowledge of a high-level programming language (for example, Python, Ruby etc.)
- Strong willingness to fight for good outcomes
- Ability to deep dive into any part of the tech stack.
- Bias towards progress over perfection.
- Excited about progress in the AI space.
- 1+ year of experience building ML-powered products. You’ll be supported by, and learn from teammates with deep ML experience.
- Built or used ML platforms before.
- Deep understanding of some distributed systems (e.g. database, caches, queues, streams).
- Statistics fundamentals.
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, annual bonus and equity
- Regular compensation reviews - we reward great work!
- Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
- Generous paid time off above statutory minimum
- Hybrid working
- MacBooks are our standard, but we also offer Windows for certain roles when needed.
- Fun events for employees, friends, and family!
#LI-Hybrid
Policies
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.
