This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are on a mission to build a reliable, fast, and scalable search for DoorDash. As a product, we help millions of customers find the stores, items, and experiences they want. As a platform, we provide indexing, retrieval, ranking, and query understanding capabilities to internal customer teams across more than 20 verticals. Our work spans three dimensions: scale (over a billion indexed documents, thousands of QPS, expensive operations on millions of documents per second), product (improving search experience for DoorDash customers and enabling product teams across many surfaces to experiment with minimal friction using search infrastructure), and quality (query understanding, multi-stage ranking, and semantic search capabilities to improve search relevance and drive conversion). This is a pivotal moment for Search. We are evolving the platform to support the next generation of consumer experiences, from semantic search to agentic commerce experiences powered by LLM. The architectural decisions we make now will define how DoorDash discovery works for the next decade.
Job Responsibility:
Lead at scale: Serve as the uber tech lead for Search, providing technical vision and architectural direction across the entire organization. Own a multi-year roadmap that spans multiple services and teams powering mission-critical products at DoorDash
Architect the next-generation search stack: Drive the rebuild of core search infrastructure, including indexing pipelines, embedding-based retrieval, and ML ranker serving in latency-sensitive paths. This stack will power both consumer search and agentic commerce experiences at DoorDash scale
Influence across teams: Drive alignment across ML, Infrastructure, Product, and partner engineering teams. Mentor staff and senior engineers across the search org to raise the bar of technical excellence
Shape engineering culture: Set the technical bar for how the search org designs, ships, and operates large-scale systems, and define the patterns that will outlast any single project
Hands-on problem solving: Dig into complex distributed systems challenges, from low-latency serving to indexing freshness tradeoffs, and write code that moves the needle
Requirements:
B.S. or M.S. in Computer Science or equivalent
10+ years of industry experience, with a track record of leading large-scale, high-impact components and systems
Proven ability to drive multi-quarter technical roadmaps as a technical lead, with clear ownership of architectural decisions
Deep expertise in distributed systems and data pipelines at scale. Expertise in search infrastructure, including indexing and serving stack
Strong understanding of ML systems, embedding-based retrieval, model serving tradeoffs, and multi-stage ranking architectures
Strong technical intuition paired with the ability to influence and align cross-functional stakeholders
Humility and growth mindset, leading through expertise and collaboration, not hierarchy
What we offer:
401(k) plan with employer matching
16 weeks of paid parental leave
wellness benefits
commuter benefits match
paid time off and paid sick leave in compliance with applicable laws