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- Tasks: As a Product Engineer, you'll own product development and shape the roadmap with your innovative ideas.
- Company: Join a cutting-edge AI startup revolutionizing productivity with an AI Executive Assistant.
- Benefits: Enjoy a competitive salary, equity options, and fast-tracked career growth in a dynamic environment.
- Why this job: Be part of a small, focused team making a real impact while enjoying autonomy and ownership in your work.
- Qualifications: Ideal candidates have experience in early-stage companies and a passion for building impactful products.
- Other info: Work in our vibrant London office, Monday to Friday, and be part of our exciting growth journey.
The predicted salary is between 56000 - 84000 £ per year.
The basics
- This role pays £70k-£100k/year + equity
- Matt, Cofounder and CTO, is the hiring manager
- We work Mon-Fri in our central London office
- You must have the right to work in the UK
What are we building? An AI Executive Assistant
In 1930, the economist John Maynard Keynes predicted that we’d only be working 15 hours a week by 2030. Despite automation in agriculture and industry, that hasn’t happened.
Why? The service sector. Walk around the average office and you’ll see people’s days taken up by emails, Slack and meetings instead of real work.
People in client facing roles – think sales, professional services firms, recruiters – feel this pain most acutely. Instead of advising and connecting with clients, they spend hours doing admin. Following up. Scheduling meetings, then taking notes on them. Answering questions they’ve been asked a thousand times. Sorting through the mess that is their inbox.
We’ve built an AI executive assistant that looks at all your emails, messages and meetings, and uses that knowledge to answer your email, schedule meetings, take next steps from meetings and organise your inbox. We turn every employee into a top performer, effortlessly.
Unlike other startups, we’re a pure-play applied AI company, not a SaaS company with AI features hastily bolted on! We make use of the best techniques (fine tuned open source models, tool use, and retrieval augmented generation) and as a result, users send 53% of the email drafts we generate.
How has it been going?
We launched our product in March 2024. Since then we’ve gone from $0 to $2.5m in revenue, across 3000 paid users. We’ve done this with a team of just 4, with a gross margin of 75%, and without using any paid marketing until the start of November.
We spent the last 3 months in San Francisco at HF0, the best AI startup accelerator in the world, learning from experts like the CEO of Instacart, Head of Applied Research at OpenAI and the cofounder of Snowflake.
What do we value?
We’re very intentional about adding new people. We think a small team of exceptional people working hard at a problem they care about will always beat a larger, more unfocused team. That does mean you’ll need to bring an intensity to this role that might not be asked at other companies. But it also means you will be fast tracked into more senior roles and responsibilities far earlier. We predict we’ll reach $15m in revenue by the end of 2025 – there will be plenty of opportunities for you!
We also believe in hiring people who want ownership and autonomy in their work, and giving it to them. We only hire product engineers. What that means is instead of just being given tickets to implement, you’ll be owning a whole product: shaping the roadmap by thinking from first principles, looking at usage data and speaking to customers, then architecting and implementing your ideas.
What does our ideal hire look like?
- You’ve worked at an early stage company (<100 people) or been a founder yourself
- You have an expert level understanding of Typescript and React
- You want to get involved in product work, rather than just being handed tickets. You’ll be expected to come up with features autonomously, by reading customer feedback and analysing usage data
- You can function as a fullstack engineer, working on client and server side code, answering data questions using SQL, and contributing to devops and CI/CD processes
- High interest in AI and the problem we’re using it to solve
- Urgency and intensity in your work
Our tech stack
We use Typescript for all code. We have a frontend app built with React, but the product is very backend heavy: it’s deployed on Google Cloud Platform using Cloud Functions, Firestore, Cloud Storage and PubSub. We use Bigquery as our data warehouse, Looker to visualise it, and Sentry and Google Cloud Logging for monitoring. We use Github Actions for CI/CD.
The application process
- Submit your CV (no need for a cover letter)
- We’ll review it
- An initial call with someone from the Fyxer AI team to review your experience and motivation for joining (20 mins)
- Live coding interview (45 minutes)
- Product case study (45 minutes)
- Meet more of the team (30 minutes)
Product Engineer employer: Fyxer AI
Contact Detail:
Fyxer AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer
✨Tip Number 1
Familiarize yourself with the latest trends in AI and product engineering. Understanding the nuances of applied AI, especially in the context of executive assistants, will help you stand out during discussions.
✨Tip Number 2
Showcase your ability to work in small, focused teams. Highlight any past experiences where you've contributed significantly to a project, as this aligns with our value of having exceptional people in a tight-knit environment.
✨Tip Number 3
Prepare to discuss how you approach product ownership. Be ready to share examples of how you've shaped product roadmaps or made data-driven decisions based on user feedback.
✨Tip Number 4
Demonstrate your passion for autonomy and ownership in your work. We value candidates who are proactive and can take initiative, so think of ways you've gone above and beyond in previous roles.
We think you need these skills to ace Product Engineer
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and expectations of a Product Engineer in an AI-focused startup. Tailor your application to highlight relevant experiences that align with the role.
Showcase Your Experience: Emphasize your experience in early-stage companies and your ability to take ownership of projects. Provide specific examples of how you've shaped product roadmaps or implemented innovative solutions.
Highlight Technical Skills: Detail your technical skills that are relevant to the position, such as experience with AI technologies, software development, and data analysis. Be specific about the tools and methodologies you have used.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for AI and your desire to work in a small, focused team. Discuss why you are excited about the company's mission and how you can contribute to its growth.
How to prepare for a job interview at Fyxer AI
✨Understand the Product
Make sure you have a solid grasp of what the AI Executive Assistant does and how it benefits users. Familiarize yourself with the pain points it addresses, especially in client-facing roles, as this will show your genuine interest in the product.
✨Showcase Your Ownership Mindset
Since the company values autonomy and ownership, be prepared to discuss past experiences where you took initiative and led projects. Highlight how you shaped product roadmaps or made impactful decisions based on user feedback.
✨Demonstrate Technical Proficiency
As a Product Engineer, you'll need to showcase your technical skills. Be ready to discuss your experience with fine-tuned open source models, tool use, and retrieval augmented generation, as these are crucial for the role.
✨Emphasize Cultural Fit
The company is looking for exceptional individuals who thrive in a small, focused team. Share examples of how you've contributed to a positive team culture and how you align with their values of intensity and commitment to solving problems.
