At a Glance
- Tasks: Build innovative AI products and collaborate closely with users in a dynamic team.
- Company: Fast-growing AI SaaS company with a focus on collaboration and innovation.
- Benefits: Competitive salary up to £130k, equity, and hybrid work model.
- Other info: Exciting growth opportunities and visa sponsorship available.
- Why this job: Join a cutting-edge team and make an impact in the AI space.
- Qualifications: Experience in Go/Python, TypeScript, and a strong product mindset.
The predicted salary is between 90000 - 130000 £ per year.
OB are currently partnered with a fast-growing AI SaaS company currently expanding their engineering team following a major period of growth and investment. They’re looking for Product Engineers who enjoy building end-to-end products, working closely with users, and shipping quickly in a highly collaborative environment.
Key experience
- Go and/or Python backend development
- TypeScript, React, Next.js
- Experience working on product-focused engineering teams
- Exposure to AI tooling or LLM integrations
- Strong Product mindset and ability to work autonomously
Stack ⚙️ Go, Python, TypeScript, React, Next.js, Kafka, Postgres, Redis, BigQuery, AWS/GCP.
Package £90,000 - £130,000 + meaningful equity
Location Hybrid – London (2 days per week)
Visa sponsorship available
Product Engineer - London - up to £130k + Equity in City of London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer - London - up to £130k + Equity in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects using Go, Python, TypeScript, or React, make sure it’s front and centre. It’s a great way to demonstrate your product mindset and technical chops.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of AI tooling and LLM integrations, as well as your experience in product-focused teams. We want to see how you think and solve problems, so be ready to share examples.
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace Product Engineer - London - up to £130k + Equity in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Go, Python, TypeScript, and React. We want to see how you've used these technologies in your previous roles, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for us. Mention how your background aligns with our focus on product engineering and your passion for building end-to-end products. It’ll make you stand out!
Be Authentic: We love seeing the real you! Share your thoughts on AI tooling or any LLM integrations you've worked with. Your unique perspective can really shine through and show us your product mindset.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Go, Python, TypeScript, and React. Brush up on your knowledge of these technologies, as you'll likely be asked to discuss your experience with them. Be ready to share specific examples of projects where you've used these languages.
✨Showcase Your Product Mindset
Since the role requires a strong product mindset, think about how you can demonstrate this during the interview. Prepare to discuss how you've previously worked on product-focused engineering teams and how you’ve contributed to building end-to-end products that meet user needs.
✨Familiarise Yourself with AI Tools
Given the company's focus on AI SaaS, it’s crucial to have a basic understanding of AI tooling and LLM integrations. Research recent trends in AI and be prepared to discuss how these technologies can enhance product development.
✨Prepare for Collaborative Scenarios
This role emphasises collaboration, so think of examples where you’ve successfully worked in a team environment. Be ready to explain how you communicate with users and stakeholders to gather feedback and iterate on products quickly.