At Bigblue, we're building the logistics backbone for the next generation of commerce.
Modern brands sell everywhere: through their own online stores, marketplaces, retail, social commerce, and more. Across every channel, customers expect the same fast, reliable, and transparent experience after they buy. What used to be Amazon's exclusive advantage is now becoming the standard for every ambitious brand. We're helping them get there.
Since 2018, we've built a tech-driven fulfilment platform used by 600+ brands, including Muji, Aigle, Scuffers, and Cabaïa. With 200+ Bigbluers across the UK, France, Spain, and Germany, our proprietary tech stack, and a network of 9 warehouses and over 100,000 sqm of fulfilment space across Europe, we ship millions of orders every month. And we're nowhere near done!
Backed by €20M+ in funding, we're expanding across Europe and building the operating system that will power modern commerce operations at a global scale.
At Bigblue, we hold ourselves to a very high bar: in the quality of our product, the rigour of our operations, and the care we bring to every merchant we work with. You'll be working alongside talented people on real, high-impact problems, in an environment where high standards come with genuine support, ownership, and room to grow. If you want your work to matter from day one, you're in the right place.
Requirements - must haves
- Either 4+ years of experience developing and applying optimization algorithms, or a PhD focused on applied optimization (i.e. Operation Research, Control Theory, Simulation, …)
- Proficient in software engineering methods and tools (IDE, git, tests, …)
- Strong collaboration skills and ability to work with diverse teams
- Solid foundations in algorithms, optimization theory, and their practical limits
Bonus
- Experience in the Logistics industry
- Published one or more research paper(s)
- Open source contributions
What Success Looks Like
- After 6 months: You've ramped-up on our codebase, built an experimentation framework and tested several improvements to our existing algorithms
- After 1 year: You're mentoring fellow engineers to develop our optimization capabilities
- After 2 years: You're leading a small team focused on making our WMS optimization solutions world class
Why This Role Is Exciting (at least to us)
- High volumes: Work with data from the largest tech player in the field based in Europe
- High agency: We are a small team and you get to design, develop, ship, and actually see the result of your work on the ground
- Open field: It's still day 1 at Bigblue and you will drive many important decisions that will shape both your job and the entire company
Interview Process
- Recruiter phone screen: Get to know Bigblue and the role
- Hiring manager phone screen: Deep dive into your experience and the position
- Case study: Technical algorithm-focused challenge
- Onsite interview: Past project discussion and culture fit
- 2-3 Reference calls
- 🎉 Offer
Salary
- Annual salary: based on experience
- BSPCE grant (stock options)
Skills Required
- 4+ years developing and applying optimization algorithms or a PhD focused on applied optimization
- Proficient in software engineering methods and tools (IDE, git, tests)
- Solid foundations in algorithms and optimization theory and understanding of their practical limits
- Strong collaboration skills and ability to work with diverse teams
- Experience in the logistics industry
- Published one or more research papers
- Open source contributions
What We Do
Bigblue is the fulfillment solution for customer-centric brands. Hundreds of brands leverage our warehouse network to scale operations effortlessly and build a delivery experience that boosts sales In a world where Amazon is increasingly dominating e-commerce, together with companies like Stripe and Shopify, we’re on a mission to help independent brands fight back
