Backend Engineer, Discovery
May 17
🏢 In-office - Manhattan
Description
• 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. 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.
Requirements
• Bachelor’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. • Known for shipping products and features lightning-fast. • Excellent problem solver and doesn’t need to be told exactly what to do. • Can mentor others and prioritize building inclusive, supportive teams. • Experience in taxonomy and/or category graph systems is a plus. • Experience in machine learning fields is a plus (e.g. Recommendations, Content Understanding and Search).
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.
Apply Now
