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About the role
- Engineering Manager overseeing the Discovery Platform team at Whatnot. Leading the growth and evolution of their marketplace and platform for users.
Responsibilities
- Lead and mentor a team of highly skilled engineers, guiding them through complex technical challenges and helping them achieve personal and professional growth.
- Focus on ensuring engineers can work effectively and quickly, building within and leveraging platform services.
- Collaborate with cross-functional teams to influence product decisions and ensure engineering solutions meet both business and technical needs.
- Own the architecture and development of critical platform initiatives that build and scale retrieval, ranking and search for dynamic feeds with low-latency requirements.
- Hire, mentor, and grow a diverse, high-performing team, fostering an inclusive team culture.
- Build a scalable platform that provides ergonomic access to advanced discovery and search capabilities across the organization.
- Partner closely across the machine learning, platform, and product engineering teams to accelerate Discovery capabilities to solve for Whatnot’s business needs.
- Define and advance our technical approach to scalable recommendation systems.
Requirements
- 10+ years of experience in discovery engineering or platform engineering leadership roles, with at least 1-2 years of experience managing teams.
- Experience in building and scaling retrieval systems, real-time services, ranking and discovery systems.
- Strong experience with software engineering best practices, focusing on maintaining high code quality, reducing technical debt, and improving performance at scale.
- Proven experience in guiding teams to deliver complex, large-scale systems with an emphasis on reliability and scalability.
- A focus on developer velocity and ergonomics, improving engineering practices to increase speed and quality of delivery while managing technical debt.
- Exceptional leadership and communication skills, with the ability to influence and collaborate across multiple teams.
- Strong technical background, with the ability to make informed decisions on architecture and technology choices.
- Experience with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark, OpenSearch, ElasticSearch, Lucene, SOLR.
- Experience in machine learning fields (e.g. Recommendations, Content Understanding and Search.
Benefits
- Generous Holiday and Time off Policy
- Health Insurance options including Medical, Dental, Vision
- Work From Home Support
- Home office setup allowance
- Monthly allowance for cell phone and internet
- Care benefits
- Monthly allowance for wellness
- Annual allowance towards Childcare
- 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
- Monthly allowance to dogfood the app
- All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
- 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.
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