Software Engineer
WhatnotLos Angeles, CA$245k – $335kPosted 28 April 2026
Job Description
Software Engineer
🚀 JOIN THE FUTURE OF COMMERCE WITH WHATNOT!
Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
As a remote co-located team, we're inspired by our values https://www.whatnot.com/careers and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
We're one of the fastest growing marketplaces https://www.nytimes.com/2025/10/28/business/dealbook/whatnot-livestream-shopping-fundraise.html and were recently named the #1 Best Startup Employer in America https://www.forbes.com/lists/americas-best-startup-employers/ by Forbes. Check out the latest Whatnot updates on our news https://blog.teamwhatnot.com/ and engineering blogs https://medium.com/whatnot-engineering and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
💻 ROLE
- Software Engineer (Whatnot Inc.; Culver City, CA): Design and build scalable and maintainable backend systems. Partner across the company to design scalable feed and browse solutions based on a deep understanding of critical business goals. Support technological initiatives end to end with software development. Prototype new software ideas and build them for extreme scale while coordinating closely with other teams. Develop product features to deliver high-quality Discovery experiences for users. Build and maintain a scalable, stable, low latency feed, and browse experience. Build the software services and infrastructure to enable advanced recommendation systems solutions for real-time, dynamic feeds. Partner closely across the machine learning, platform, and product engineering teams to utilize models to solve discovery problems. Contribute scalable solutions across various serving stacks at the feed, search, machine learning service, and Discovery application layers. Define and advance the company’s technical approach to scalable recommendation systems. Utilize cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, and Flink/Spark. Apply practical methods to solve real-world problems on consumer scale data. Telecommuting permitted from within the U.S.
👋 YOU
Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. You have:
- Minimum requirements: Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering, Statistics, Mathematics, or related field, plus five (5) years of experience as a Software Engineer or related occupation.
- Must have experience with the following: leading initiatives across multiple product areas and communicating findings with leadership and product teams; machine learning fields: Recommendations, Content Understanding, and Model Inferencing; designing and building scalable and maintainable backend systems; visualization tools for monitoring and logging: DataDog or Grafana; cloud computing platforms and managed services: S3, EC2, ECS, AWS Sagemaker, Lambda, Kafka, and Flink/Spark.
Salary: $245,000 – $335,000 per year
APPLY NOW or send resume to: emilypullen@whatnot.com
💛 EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we ... (truncated, view full listing at source)
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