Software Engineering - Core Software Engineering - Software Engineering PMTS-2
$197,300–$313,700 year
On-siteSan Francisco, California, United States
Job Summary
Lead architectural design and delivery of major Search & Personalization capabilities, including GenAI search with AI overview results, next-best query suggestions, and natural language query understanding. Own multi-turn agentic search, behavioral ranking, and contextual discovery services powering embedded surfaces within Agentforce, Slack, and Setup. Drive platform modernization by contributing to the migration off Heroku onto Falcon and enable scalable, low-latency indexing pipelines for new asset types. Champion AI-native engineering by actively using and promoting AI tools across the development lifecycle, from code completion to production monitoring. Define the Northstar architecture for the Search & Personalization domain, drive observability with SLOs/SLIs and latency budgets, and mentor senior and junior engineers. Collaborate cross-functionally with Product, Platform Services, and Embedded Exchanges teams to deliver unified catalog indexing and contextual search surfaces across the AgentExchange ecosystem.
Required Qualifications
- 10+ years of experience in software engineering
- demonstrated track record of technical leadership on enterprise-scale search, recommendation, or personalization systems
- Proven ability to define and drive long-term technical vision and architectural roadmaps for large, complex search or ML-infused platform domains
- 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
- Experience designing and delivering recommendation or personalization systems
- Hands-on experience integrating LLMs or GenAI into search products
- Experience with real-time and near-real-time data pipelines for indexing and signal ingestion
- Strong commitment to engineering excellence: observability, telemetry, latency SLOs, CI/CD, service ownership, safe change practices, and production reliability
- Excellent communication skills — able to influence and build consensus across engineering, product, and executive stakeholders
Desired Qualifications
- Experience building multi-turn or conversational search experiences, including context management and session-aware ranking
- Hands-on experience with agentic systems, MCP tools/resources, or A2A patterns
- Experience with contextual or embedded discovery surfaces
- Familiarity with marketplace or e-commerce search
- Experience with personalization at scale
- Experience with platform infrastructure migrations
- Strong security mindset
- Conversant with Salesforce Platform features and best practices
- A strong desire to learn technology and a polyglot attitude
- Proficient in written and spoken English
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