Engineering Manager, Search Platform (Remote)

What You’ll Do

• Lead delivery and technical quality across query serving, indexing, availability, and the APIs and contracts other teams depend on.
• Set technical direction for the search stack, including engine architecture, document schema, indexing and query patterns, ranking strategy, and migration sequencing.
• Ownthe freshness and correctness of the index and the availability domain so customers see restaurants that can actually fulfill an order.
• Stay close to the technical work by reviewing designs, challenging assumptions, and helping the team de-risk architecture and delivery decisions.
• Build a culture of measurement, experimentation, and continuous improvement in search quality, platform reliability, and operational performance.
• Coach, develop, and grow engineers through direct feedback, clear expectations, and a high technical bar for search engineering.
• Prioritize ruthlessly and sequence work effectively to reduce technical risk, improve execution, and unblock downstream teams.
• Partner closely with product, data, AI/ML, and platform engineering on relevance signals, experimentation, personalization, and shared infrastructure.
• Help the team build a strong foundation for the future, with clear ownership boundaries, strong engineering habits, and a platform others can confidently build on.

What You Have

• 8+ years of software engineering experience, including experience leading teams or serving as a technical lead in complex backend or platform environments.
• Deep technical credibility in search or retrieval systems such as Vespa, Elasticsearch, OpenSearch, or Solr, ideally through a major re-architecture or build-from-scratch effort.
• Strong backend depth in distributed, event-driven systems; Go experience is preferred.
• Experience with indexing pipelines, document models, and event-streaming patterns that keep results fresh and correct.
• Strong instincts for relevance and ranking, and the ability to translate product goals into signals, evaluation approaches, and technical decisions.
• Experience with observability, production operations, and safe rollouts for correctness-critical systems.
• The judgment to balance technical depth, people leadership, and cross-functional partnership without losing clarity or ownership.