At a Glance
- Tasks: Create innovative retail features using AI and test them with real shoppers.
- Company: Dynamic startup focused on revolutionising grocery retail through AI.
- Benefits: Competitive salary, equity options, and a vibrant office environment.
- Other info: Fast-paced, collaborative atmosphere in a prime London location.
- Why this job: Make a real impact on grocery shopping experiences while coding your ideas.
- Qualifications: Strong coding skills and a passion for understanding shopper behaviour.
The predicted salary is between 50000 - 60000 £ per year.
Grocery retail is among the industries that are best positioned to benefit from AI. Retailers create huge volumes of data across a plethora of domains (Customer, Supplier, Store, Staff, Energy, Transport, Supply Chain etc.), but today most grocers come nowhere close to using this data to its full potential. Retailers today are united in their belief that AI will define the next era of competitiveness yet most have only scratched the surface of its potential. algo1 was born to correct this. Mission matters to us. There are plenty of great startups that can give you autonomy, pace, and the feeling of being in it together. What makes us different is how we obsess over grocery and the shopper. If you want to change an experience that touches everyone, this is the right place.
About the Role
This is a role that blends curiosity and execution: you imagine how in-store retail could feel, code it with AI, and get it in front of shoppers. You rapidly iterate, observing shoppers as you test prototyped features, looking at how they respond, then deciding if the feature makes the cut. Successful features are handed to engineering to review, refine and commit to the live product, all at pace. How you build is key to success too. We're agentic‑first, we've built our own coding harness, and everyone works on max plans, so you'll never be rate‑limited. The only limit will be your ability to imagine what shoppers truly value.
What You'll Do
- Own an idea end to end, from a concept to a proven feature.
- Research market trends, shopper behaviour, and competitor offerings to formulate initial concepts.
- Code a feature and iterate rapidly, observing shoppers as you test prototyped features.
- Evaluate shopper feedback and sentiment to determine if a feature makes the cut.
- Provide Engineering a validated feature so they can build the durable version.
About You
The person who thrives in this role will blend an instinct for what shoppers desire with the agentic coding skill to build their ideas fast. We are a startup and that inevitably means a high‑intensity environment. We're looking for capability, drive and a desire to make a meaningful difference. The right person will always have been a bit obsessive about the things they care about. This role sits under our Head of B2C Product. It's a great fit for someone who wants to bridge coding and product: a product role at heart, but built for an exceptional coder who wants to be close to customers and help solve real problems.
Office Is Our Default
We get our energy from being together, and this is primarily an office based role. It will suit someone who loves the quick conversations and the connection of building something together in a fast paced environment. We're on what we think is the best garden square in London, a couple of minutes from Tottenham Court Road, so it's an easy place to get to and a good place to be.
What We Offer
Backed by leading VCs, we pay competitive salaries for top talent and give meaningful equity.
Product Engineer in London employer: SwiftCruit
At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Product Engineer in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like SwiftCruit!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at SwiftCruit would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at SwiftCruit through your school's career services!
We think you need these skills to ace Product Engineer in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Engineer, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Engineer position at SwiftCruit. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at SwiftCruit
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
