Principal Member of Technical Staff

• Architectural Leadership: Lead architectural design and delivery of major Search & Personalization capabilities, including:GenAI Search: AI overview results, next-best query suggestions, and natural language query understanding.Multi-Turn Agentic Search: Conversational discovery with recommendations, comparisons, and contextual follow-up.Personalization Service: Behavioral and preference-based ranking and recommendations.Contextual Discovery Service: Powering embedded AgentExchange discovery surfaces within Agentforce, Slack, Setup, and other core product surfaces.Search Indexer: Scalable, low-latency indexing pipelines for new asset types including standards-based agents, MCP tools/resources, skills, subagents, and A2A listings.
• AI-Native Engineering: Champion AI-native engineering — actively use and promote AI tools across the development lifecycle, from code completion to production monitoring. Model AI fluency and help build an AI-native team culture.
• Domain Strategy & Vision: Define the Northstar architecture for the Search & Personalization domain — leading discovery, design, and execution tracks that align with the broader AgentExchange one-marketplace strategy.
• Platform Modernization: Drive platform modernization — contribute to the migration off Heroku and onto Falcon, including the enabling roadmap for search services infrastructure migration.
• Engineering Excellence: Own engineering excellence across the search stack: observability and telemetry (SLOs/SLIs, latency budgets, relevance metrics), safe change practices, 99.95% availability targets, and security risk governance.
• Technical Authority & Mentorship: Act as the technical authority for your domain — providing guidance, mentorship, and sponsorship to senior and junior engineers, fostering a culture of technical excellence and bold innovation.
• Cross-Functional Collaboration: Collaborate cross-functionally with Product, Platform Services, Marketing and Growth, and Embedded Exchanges teams to deliver shared discovery infrastructure, unified catalog indexing, and contextual search surfaces across all AgentExchange touchpoints.
• Culture Carrier: Be a culture carrier — embody our values of Trust, Innovation, Engineering Commitment, and Curiosity. Challenge the status quo and build the best-engineered solutions.

Requirements

• Experience: 10+ years of experience in software engineering, with a demonstrated track record of technical leadership on enterprise-scale search, recommendation, or personalization systems.
• Technical Vision: Proven ability to define and drive long-term technical vision and architectural roadmaps for large, complex search or ML-infused platform domains.
• Search System Expertise: Deep expertise in building and operating search systems at scale:Search Engine Internals: Indexing pipelines, ranking, query understanding, relevance tuning.Search Infrastructure: Elasticsearch, OpenSearch, Solr, or equivalent.Back End: Node.js, Java, or equivalent for high-throughput search services.
• Recommendation Systems: Experience designing and delivering recommendation or personalization systems — collaborative filtering, content-based ranking, behavioral signal processing, or equivalent.
• GenAI & LLM Integration: Hands-on experience integrating LLMs or GenAI into search products — AI-generated summaries, query expansion, semantic search, or conversational retrieval.
• Data Pipelines: Experience with real-time and near-real-time data pipelines for indexing and signal ingestion.
• Production Reliability: Strong commitment to engineering excellence: observability, telemetry, latency SLOs, CI/CD, service ownership, safe change practices, and production reliability.
  • Communication & Influence: Excellent communication skills — able to influence and build consensus across engineering, product, and executive stakeholders.