WhatnotWhatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love.
We're building the future of ecommerce, bringing together community, shopping, and entertainment.
We are committed to our values, and as a remote co-located team, we operate out of hubs within the US, UK, Ireland, Poland, and Germany today.
We're innovating in the fast-paced world of live auctions from fashion, beauty, electronics to collectibles like trading cards, comic books, and even live plants.
Whatnot has something for everyone.
We are looking for intellectually curious, highly motivated individuals to be foundational members of our Discovery Feed & Browse team.
You will partner across the company and design scalable feed and browse solutions based on a deep understanding of critical business goals.
The ideal candidate will support initiatives end to end with software and work closely with data & machine learning engineering teams.
We are looking for a backend engineer with a track record of shipping product features at scale.
You should excel at making the right tradeoffs between building it fast and building it right.
We'll often prototype new ideas quickly, and then need to build them for extreme scale while coordinating closely with other teams - the ideal person for this role is an expert at both of these approaches.
What you'll do:Ship product features to deliver high-quality Discovery experiences for usersBuild and maintain a scalable, stable, low latency feed and browse experienceBuild the services and infrastructure to enable advanced recommendation systems solutions for real-time, dynamic feedsPartner closely across the machine learning, platform, and product engineering teams to utilize models to solve discovery problemsContribute scalable solutions across various serving stacks at the feed, search, machine learning service, and Discovery application layers.Define and advance our technical approach to scalable recommendation systems.As our next Software Engineer you should have 5+ years of experience, plus:
Bachelor's degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience.Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data.Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams.
You can mentor others and prioritize building inclusive, supportive teams.Experience in machine learning fields (e.g.
Recommendations, Content Understanding and Search).Expert at designing and building scalable and maintainable backend systems.Firm grasp of visualization tools for monitoring and logging e.g.
DataDog, GrafanaFamiliarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark.For Full-Time (Salary) US-based applicants: $185,000 - $245,000/year + benefits + equity
The salary range may be inclusive of several levels that would be applicable to the position.
Final salary will be based on a number of factors including level, relevant prior experience, skills, and expertise.
This range is only inclusive of base salary, not benefits (more details below) or equity.
Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)Health Insurance options including Medical, Dental, VisionWork From Home SupportHome office setup allowanceMonthly allowance for cell phone and internetCare benefitsMonthly allowance on both food and wellnessAnnual allowance towards ChildcareLifetime benefit for family planning, such as adoption or fertility expensesRetirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationallyMonthly allowance to dogfood the app16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.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 encourage, support, and respect the different skills and experiences represented within our workforce.
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