Remote opportunity at
RayaSenior Engineering Manager, Recommender Systems
Raya is seeking a Senior Engineering Manager to lead the team responsible for the backend retrieval and ranking infrastructure supporting core product recommendations. In this remote…
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About This Role
Raya is seeking a Senior Engineering Manager to lead the team responsible for the backend retrieval and ranking infrastructure supporting core product recommendations. In this remote position, the manager collaborates with the head of machine learning to establish technical strategies and deliver optimal experiences for members. The role suits a technically proficient leader with a product-oriented mindset, deep familiarity with production recommender systems, and experience guiding high-performing backend teams. Responsibilities…
Job Description
Raya is seeking a Senior Engineering Manager to lead the team responsible for the backend retrieval and ranking infrastructure supporting core product recommendations. In this remote position, the manager collaborates with the head of machine learning to establish technical strategies and deliver optimal experiences for members. The role suits a technically proficient leader with a product-oriented mindset, deep familiarity with production recommender systems, and experience guiding high-performing backend teams. Responsibilities include overseeing low-latency production systems, managing reliability and incident response, and collaborating with data science teams on experimentation processes.
Responsibilities
- Build, mentor, and retain a high-performing backend team focused on recommender systems
- Maintain reliable, low-latency production systems, observability, and incident response for recommendations
- Identify regressions in latency, quality, or fairness before they impact users
- Formulate and execute a technical strategy rooted in product intuition and user empathy
- Collaborate with the Machine Learning team to establish roadmaps
- Equilibrate user-facing enhancements with infrastructure, reliability, and experimentation investments
- Partner with Data Science to co-own experimentation processes, tools, and best practices
Requirements
- Minimum 3 years of experience managing engineers with direct responsibility for hiring, performance management, career development, and delivery
- Background in leading or building production recommender systems at scale
- Hands-on experience with high-throughput, low-latency distributed systems serving millions of users
- Proficiency in Go, Java or JVM, or another similar backend language
- Working knowledge of Postgres, AWS or GCP, and Kubernetes
Qualifications
- Experience with social networks or two-sided subscription marketplaces, including knowledge of reciprocal interest, exposure, liquidity, and retentive value
- Familiarity with the integration of machine learning and AI in modern recommender systems
- Experience with retrieval infrastructure such as vector search, feature stores, or Elasticsearch and OpenSearch
Core Skills
Benefits
- Comprehensive medical and dental coverage
- Daily food delivery budget of $50
- Equity-based employment
- Unlimited vacation
- 12 weeks of paid parental leave
- Annual $1,000 travel stipend to visit a new location
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting explicitly states that the role is remote.
What are the experience requirements for this role?
Applicants must have at least 3 years of engineering management experience, background building production recommender systems at scale, expertise in high-throughput distributed systems, and knowledge of backend languages like Go or Java, Postgres, cloud platforms, and Kubernetes.
What benefits does Raya offer?
Benefits include medical and dental coverage, equity, unlimited vacation, 12 weeks of paid parental leave, a daily $50 food delivery budget, and a $1,000 annual travel stipend.
What is the salary for this position?
The salary is not specified in the job posting.
Sample Interview Questions
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