At a Glance
- Tasks: Build cutting-edge AI products and collaborate with talented teams.
- Company: Join a fast-growing AI company transforming customer experiences.
- Benefits: Enjoy competitive salary, flexible holidays, and a fully stocked kitchen.
- Other info: Hybrid work model with a focus on collaboration and inclusivity.
- Why this job: Make a real impact in AI while developing your skills in a supportive environment.
- Qualifications: 10+ years of software engineering experience; ML knowledge is a plus but not 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. 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.
What’s the opportunity? We’re looking for Staff Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. 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 we deploy.
If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you!
What will I be doing?
- 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 Scientists to bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use.
- Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.
- Contribute to all phases of software development including ideation, prototyping, 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.
These are meant to be indicative, not hard requirements.
- 10+ years of experience shipping high-quality products.
- No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.
- 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.
- Strong willingness to fight for good outcomes.
- Bias towards progress over perfection.
- BSc in Computer Science, Maths or Statistics or related discipline.
- Previous experience in data analytics, or statistical role.
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.
- Open vacation policy and flexible holidays so you can take time off when you need it.
- 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.
Staff Product Engineer, AI employer: Intercom
Fin is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to make significant contributions. With a strong focus on employee growth, competitive benefits including flexible vacation policies, comprehensive health insurance, and a supportive hybrid working culture, Fin fosters a collaborative atmosphere that values diversity and encourages personal development. Join us in our mission to revolutionise customer experiences with cutting-edge AI technology while enjoying the perks of a fast-growing start-up.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Product Engineer, AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Fin. A friendly chat can go a long way in getting your foot in the door. Plus, it shows you're genuinely interested in the company.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. We want to see how you think and solve problems, so practice explaining your thought process clearly.
✨Tip Number 3
Show off your passion for AI and machine learning! Share any personal projects or experiences that highlight your interest. It’s all about demonstrating that you’re not just looking for a job, but you’re excited about what we do at Fin.
✨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 serious about joining our awesome team.
We think you need these skills to ace Staff Product Engineer, AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Staff Product Engineer role. Highlight any relevant projects or technologies you've worked with, especially in ML or software engineering.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for Fin. Share specific examples of your work that demonstrate your analytical approach and problem-solving skills.
Showcase Your Impact:When detailing your past experiences, focus on the impact you've made in previous roles. Use metrics or specific outcomes to illustrate how your contributions have driven success in your projects.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Intercom
✨Know Your Stuff
Make sure you have a solid understanding of Fin's AI products and how they work. Brush up on the ML tech stack mentioned in the job description, and be ready to discuss how your experience aligns with their needs. This shows you're genuinely interested and prepared.
✨Showcase Your Impact
Prepare examples from your past work that demonstrate your ability to ship high-quality products. Highlight specific projects where you made a significant impact, especially those involving collaboration with product teams or technical challenges you've overcome.
✨Ask Smart Questions
Come equipped with thoughtful questions about Fin's AI initiatives and the role of a Staff Product Engineer. This not only shows your enthusiasm but also helps you gauge if the company culture and values align with yours.
✨Emphasise Teamwork
Since the role involves working closely with ML Scientists and product teams, be ready to discuss your experience in collaborative environments. Share how you've contributed to team success and how you handle feedback and mentorship.