Data and AnalyticsDeepTechInformation TechnologySoftware
-
Vultron
🇺🇸US
Data and AnalyticsDeepTechInformation TechnologySoftware
$22M
Replit
🇺🇸US
Software
$872M
Company Overview
Problem Domain
Ecommerce discovery and conversion for enterprise and direct-to-consumer brands.
Founded
2021
Industry
Ecommerce / AI
Funding Track Record
Seed- 2022-09-19
USD 12,000,000
Series A- 2024-03-13
USD 17,000,000
Series B- 2025-06-11
USD 45,000,000
Investor Signal
“Continued participation from Greylock, QED Investors, Bain Capital Ventures, and Courtside across rounds”
Founders
What we do
Join the Team
Software Engineer
On-SiteSan Francisco Bay Area, US
On-Site • San Francisco Bay Area, US
Who you are
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
Strong foundation in data structures, algorithms, and software design
Experience building projects with at least one programming language (Go, Python, JavaScript, Java, C++, or similar)
Familiarity with web development (frontend or backend)
Ability to write clean, well-tested code
Strong problem-solving skills and curiosity about how things work
Excellent communication and collaboration skills—you can explain technical concepts clearly
Excitement about learning quickly and working across the stack
Internship experience at a tech company or startup
Projects involving AI/ML, LLMs, or data systems
Experience with TypeScript, React, Go, or Python
Contributions to open source or personal projects you're proud of
Coursework or projects in distributed systems, databases, or machine learning
What the job involves
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
Product Designer
Part-timeCambridge, GB
Part-time • Cambridge, GB
Software Engineer
Part-timeUtrecht, NL
Part-time • Utrecht, NL
AI Researcher
Part-timeTel Aviv
Part-time • Tel Aviv
Data Scientist
Full-timeCambridge, GB
Full-time • Cambridge, GB
Data Scientist
Full-timeRotterdam, NL
Full-time • Rotterdam, NL
Software Engineer
ContractBerlin, DE
Contract • Berlin, DE
We're looking for New Grad Software Engineers to join FERMÀT and help build the future of AI-native commerce
You will work on challenging problems across our platform—from building scalable systems that handle millions of shoppers to creating AI-powered features that personalize shopping experiences
This is a generalist role where you'll rotate across different parts of our stack and product areas
You'll work alongside experienced engineers who are invested in helping you grow from a new grad into a strong engineer, while taking on real ownership of features that directly impact our customers
Build features that span from frontend interfaces to backend services
Create intuitive user experiences for complex commerce workflows
Design and implement APIs that power our platform
Work with databases to model and query commerce data at scale
Build features that leverage LLMs to generate and optimize shopping experiences
Implement personalization systems that adapt to shopper behavior
Work on experimentation infrastructure to test and measure AI-driven optimizations
Help train and fine-tune models for commerce-specific use cases
Build systems that handle millions of requests reliably
Optimize performance for high-traffic commerce scenarios
Design data pipelines that process and analyze shopper behavior
Work on deployment and monitoring systems
You'll spend your first few months ramping up on our stack and shipping smaller features, with increasing ownership and complexity as you grow
We believe in giving engineers real problems to solve from day one
Our Tech Stack:
Golang
Python
TypeScript
React
Next.js
PostgreSQL
Google Cloud
Various LLM APIs
What a Typical Week Looks Like:
You'll spend most of your time coding—building features, fixing bugs, and learning our systems
You'll participate in daily standups, collaborate with engineers across the team, and pair program with senior engineers who can help you grow
You'll ship code regularly and see your work go live to real customers quickly
Early on, you'll work on well-scoped features with guidance
As you ramp up, you'll take on more complex problems and start making architectural decisions
Develop full-stack engineering skills across frontend, backend, and infrastructure
Gain hands-on experience with AI systems in production
Learn to build and scale systems that serve millions of users
Master software engineering best practices: testing, code review, system design
Have a dedicated onboarding plan to set you up for success
Regular 1:1s with your manager and senior engineers
Code & tech spec reviews focused on learning and growth
Quarterly goal-setting to help you progress in your career
Exposure to different parts of the stack and product
Opportunities to specialize in areas that interest you (AI, infrastructure, product engineering)
Clear path from new grad to mid-level and senior engineer
