Lead the design and implementation of large-scale, high-performance retrieval systems that power personalized content and recommendations for millions of users, shaping the technical strategy for core infrastructure and driving innovation at the forefront of search and recommendation technologies.
Requirements
- 10+ years of relevant industry experience, with at least 4 years in retrieval infrastructure or large-scale distributed systems.
- 2+ years of experience serving as a technical lead across teams or organizations.
- Proven expertise building and scaling high-performance systems for consumer-facing applications such as search, recommendations, or advertising platforms.
- Proficiency in a compiled programming language such as C++ (preferred), Java, or Rust.
- Strong problem-solving skills, architectural insight, and ability to make trade-offs for performance, scalability, and maintainability.
- Experience mentoring and guiding engineers, fostering technical growth and collaboration.
Responsibilities
- Define and execute technical strategy for large-scale retrieval and recommendation platforms.
- Design, develop, and maintain high-performance, reliable distributed systems capable of indexing and serving billions of documents to hundreds of millions of users.
- Collaborate across engineering, product, and data science teams to innovate on search, recommendation, and personalization technologies.
- Mentor senior engineers, providing guidance on technical challenges, architecture, and leadership development.
- Identify and address emerging product and platform needs, ensuring robust, scalable, and maintainable solutions.
- Drive cross-team initiatives to enhance infrastructure, improve performance, and adopt industry best practices.
Other
- Flexible work model with periodic in-person collaboration at San Francisco, Palo Alto, or Seattle offices.
- Inclusive and equitable work environment fostering innovation, collaboration, and recognition of diverse perspectives.
- Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers.
