Senior Engineering Manager, Recommender Systems

• Build, coach, and retain a high-performing backend team that specializes in recommender systems.
• Own reliable, low-latency production systems, observability, and incident response for recommendations. Catch regressions in latency, quality, or fairness before users notice.
• Create and execute a technical strategy that is grounded in deep product intuition and empathy for the end-user experience.
• Partner with the Machine Learning team to define roadmaps. Balance user-facing improvements with investments in infrastructure, reliability, and experimentation.
• Work with Data Science to co-own experimentation processes, tools, and best practices.

We are looking for someone who is technically strong, has deep experience with production recommender systems, and has intuitive product-focused user empathy., * 3+ years managing engineers, with direct responsibility for hiring, performance management, career development, and delivery.

• Experience leading or building production recommender systems at scale.
• Hands-on depth in high-throughput, low-latency distributed systems that serve millions of users.
• Expertise in Go, Java/JVM, or a similar backend language; Postgres, and AWS/GCP, and Kubernetes., * Experience with social networks or two-sided marketplaces in a subscription setting: you understand reciprocal interest, exposure, liquidity, and how great recommendations create long-term retentive value.
• Familiarity with how machine learning and AI fit into modern recommender systems.
• Experience with retrieval infrastructure such as Elasticsearch/OpenSearch, vector search, or feature stores.

We offer comprehensive medical and dental coverage, $50 a day food delivery budget, equity based employment, a great culture, learning opportunities, unlimited vacation, 12 weeks paid parental leave, and we pay all employees $1,000 a year to go somewhere in the world that they’ve never been because of our values of human connection, empathy, and curiosity.