Engineering Manager, Discovery & Search Platform
About The Position
As a senior leader in our Discovery team, you will play a pivotal role in the growth and evolution of the Whatnot marketplace and platform. You will oversee our Discovery Platform team, working closely across engineers, product and operations teams to build scalable, reliable and performant Discovery systems that meet the needs of Whatnot’s live social marketplace across millions of users. Working in a highly cross functional role, you’ll make key decisions about how we integrate retrieval, ranking through machine learning, real-time and stream processing, content understanding, materialization into a highly personalized discovery experience that unlocks product iterations while providing strong reliability. An ideal candidate will be a seasoned people leader with experience building discovery backend and data systems at scale, with a knack for working closely with product engineers to solve immediate problems for our users while making right tradeoffs towards building a platform. Learn more about the Discovery systems at Whatnot from our blog posts on Evolving Feed Ranking , Whatamix , LLMs for Search.
Requirements
- 10+ years of experience in discovery engineering 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
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 Whanot’s business needs.
- Define and advance our technical approach to scalable recommendation systems.
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
- 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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees
