At a Glance
- Tasks: Build and own core backend services for AI commerce tools.
- Company: Join Colossal, a pioneering startup redefining online commerce with AI.
- Benefits: Competitive salary, flexible work environment, and opportunity to shape the future.
- Other info: Dynamic startup culture with opportunities for growth and learning.
- Why this job: Be part of an innovative team at the forefront of AI commerce technology.
- Qualifications: 5+ years in software development, strong understanding of AI tools, and full-stack experience.
The predicted salary is between 60000 - 80000 € per year.
Founded by Paul Anthony, creator and co-founder of Primer (Series B, $425M valuation), Colossal is building at the intersection of generative app development and commerce infrastructure. Think: Lovable for commerce. We're backed by Tier 1 investors: Seedcamp, 10x Founders, Connect Ventures, and are planning to raise our seed round later this year.
Why Colossal?
We're building the world's first AI-native commerce infrastructure platform, working with bleeding edge technologies and paradigms to redefine how businesses sell online. Join our early team and help shape the future of AI commerce. We're still in stealth, so get in touch to learn more.
What we're looking for:
- 5+ years experience building service-oriented software products end to end, ideally at early-stage startups
- A strong understanding of AI-based developer tools, methods and paradigms
- Generalist mindset with experience across the full stack
- Strong understanding of CI/CD, cloud infrastructure, observability, and developer tooling
- Comfortable owning products and features end to end, and taking responsibility for performance and optimisation
- Strong communicator, able to distribute knowledge across the team effectively through documentation, talks, demos and presentations
What you'll do:
- Build and own core backend services for our commerce infrastructure tools, including billing, workflows, and financial operations
- Build features that integrate AI into real-world product experiences
- Play a key role in software architecture design, including research, writing POCs for further refinement
How we hire:
- Initial call with the founder (30 mins)
- Complete a take home exercise
- Task review and pair programming with a team member (1 hour)
- Meet with the product team for 2-way interview (30 mins)
- Offer stage (including reference checks)
To apply, please send your resume and a brief intro describing your interest to: careers@colossal.fm
Full-Stack Product Engineer (AI Commerce) employer: LinkedIn
Colossal is an exceptional employer for those looking to make a significant impact in the AI commerce space. With a strong focus on innovation and collaboration, employees enjoy a dynamic work culture that fosters creativity and growth, alongside opportunities to work with cutting-edge technologies. Joining our early team means being part of a visionary project backed by top-tier investors, where your contributions will directly shape the future of commerce.
StudySmarter Expert Advice🤫
We think this is how you could land Full-Stack Product Engineer (AI Commerce)
✨Tip Number 1
Get ready for that initial call with the founder! Do your homework on Colossal and be prepared to discuss how your experience aligns with their vision. Show genuine enthusiasm for AI commerce and how you can contribute.
✨Tip Number 2
When tackling the take-home exercise, treat it like a mini-project. Showcase your full-stack skills and don’t forget to document your thought process. This is your chance to shine and demonstrate your problem-solving abilities!
✨Tip Number 3
During the pair programming session, communicate clearly with your team member. Explain your thought process as you code and be open to feedback. It’s all about collaboration, so show them you’re a team player!
✨Tip Number 4
Finally, when you meet with the product team, come prepared with questions. This shows you’re genuinely interested in the role and the company. Plus, it’s a great way to assess if Colossal is the right fit for you too!
We think you need these skills to ace Full-Stack Product Engineer (AI Commerce)
Some tips for your application 🫡
Craft a Compelling Intro:Start your application with a brief intro that showcases your passion for AI commerce and why you want to join Colossal. We love seeing genuine enthusiasm, so let your personality shine through!
Tailor Your Resume:Make sure your resume highlights your experience in building service-oriented software products, especially in early-stage startups. We want to see how your skills align with our mission, so be specific about your achievements!
Showcase Your Communication Skills:Since we value strong communication, include examples of how you've shared knowledge within your team. Whether it's through documentation or presentations, let us know how you’ve made an impact!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Don’t miss out on this opportunity!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your knowledge of AI-based developer tools, CI/CD processes, and cloud infrastructure. Being able to discuss these topics confidently will show that you’re a great fit for the role.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built service-oriented software products. Highlight your experience with end-to-end development and how you’ve integrated AI into real-world applications. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Effectively
As a strong communicator, be ready to explain complex concepts clearly. Practice how you would document your work or present your ideas to the team. This is crucial since the role involves distributing knowledge across the team through talks and demos.
✨Engage in the Take-Home Exercise
Treat the take-home exercise as an opportunity to showcase your skills. Make sure to follow best practices in coding and document your thought process. This will not only help you stand out but also give insight into your approach to problem-solving.