Backend Engineer, Discovery at Whatnot (W20)
$185K - $245K  ā€¢  
Whatnot is the largest livestream shopping platform in the U.S.
Remote (San Francisco, CA, US; Seattle, WA, US; Los Angeles, CA, US; New York, NY, US)
Full-time
6+ years
About Whatnot

Whatnot is a community marketplace where you can safely buy, sell, go live and build a community with other like-minded people.

We got our start offering a buying and selling experience to collectors of Funko Pops and Pokemon cards. We became the leading marketplace for those communities and have found success launching into categories like sports cards, NFTs, and vintage fashion.

In July of 2022, we raised $260 million in a Series D funding round bringing our valuation to $3.7 billion, a 2.5x increase since our $1.5 billion valuation in September of 2021.

Our mission is to enable anyone to turn their passion into a business and bring people together through commerce. We enable anyone to connect, transact and build a business in one place -- Whatnot is bringing the in-person retail experience online.

About the role
Skills: Python

šŸš€ Whatnot

Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Weā€™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.

Weā€™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.

And, weā€™re growing. Whatnot has been one of the fastest growing marketplaces and weā€™re hiring forward-thinking problem solvers across all functional areas.

šŸ’» Role

Discovery engineers at Whatnot are responsible for building the best user experience for finding and engaging with the most relevant content on the platform: streams, products and others in the community. To achieve our goals, we are passionate about understanding, building and maintaining a healthy ecosystem, where buyers find engaging content and sellers thrive with their business. We focus on a wide variety of problems: taxonomy, browse experience, search and recommendations algorithms, as well as content understanding. We make data-informed decisions and ship quickly to benefit our users. The team has a lot of individual responsibility and many more freedoms, so we need to hire people we can trust. Your ability to make good trade-offs and exercise good judgment is essential to us.

  • We are looking for a backend engineer with a track record of shipping product features with high quality engineering designs; someone who can build scalable taxonomy and content management systems and its application to new product features and recommendation algorithms. You should excel at making the right tradeoffs between building it fast and building it right. Weā€™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.

Team members in this role are required to be within commuting distance of our San Francisco, CA, Los Angeles, CA, New York, NY, and Seattle, WA hubs.

šŸ‘‹ You

As our next backend engineer on Discovery, you should have 5+ years of full-time software engineering experience, plus:

  • Bachelorā€™s degree in Computer Science, a related field, or equivalent work experience.
  • Expert at designing and building scalable and maintainable backend systems.
  • Knowledge of multiple programming languages (we primarily use Python, Elixir, JavaScript - knowledge of these in particular not required).
  • Excellent product instincts. You first think about users rather than the best technical solution.
  • You are known for shipping products and features lightning-fast.
  • Youā€™re an excellent problem solver and donā€™t need to be told exactly what to do.
  • You can mentor others and prioritize building inclusive, supportive teams.
  • Experience in taxonomy and/or category graph systems is a plus.Ā 
  • Experience in machine learning fields is a plus (e.g. Recommendations, Content Understanding and Search).

šŸ’°Compensation

For 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.

šŸŽ Benefits

  • Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision
  • Work From Home Support
    • $1,000 home office setup allowance
    • $150 monthly allowance for cell phone and internet
  • Care benefits
    • $450 monthly allowance on food
    • $500 monthly allowance for wellness
    • $5,000 annual allowance towards Childcare
    • $20,000 lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  • Parental Leave
    • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.

šŸ’› 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 encourage, support, and respect the different skills and experiences represented within our workforce.

Technology

Infrastructure: AWS, Kubernetes, Serverless

Databases: Postgres, DynamoDB, ElasticSearch, Redis

Backend: Python (Flask), Node, Elixir

Front-End React, GraphQL, Swift, Kotlin

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