Principal Member of Technical Staff (Core Software Engineering)

• The AgentExchange Search & Personalization team is responsible for the discovery engine that connects customers with the right agents, apps, and integrations at the right moment
• Our goal is to increase the click-through rate to listing detail page views by delivering faster, smarter, and more contextually relevant search and recommendations
• We are transforming search from keyword matching into a multi-turn agentic discovery experience powered by GenAI, personalization signals, and real-time behavioral data
• We are looking for an exceptional Principal Member of Technical Staff to lead the engineering vision for AgentExchange’s Search and Personalization services — the AI-powered discovery layer that sits at the heart of how customers find and engage with solutions across the Salesforce ecosystem
• As a Principal Engineer on the Search & Personalization team, you will be the technical authority for the systems that determine what customers see, find, and click on across AgentExchange
• You’ll design and deliver the next generation of agentic search — multi-turn, context-aware, and enriched with AI overviews, next-best query suggestions, and personalized recommendations — alongside the indexing infrastructure and contextual discovery services that power embedded surfaces across Agentforce, Slack, Setup, and beyond
• AgentExchange is building the next generation of our ecosystem marketplace, extending the base and boundaries of our platform while infusing intelligence through every step of our partners’ and customers’ journey
• The new ecosystem enables packaging, publishing, and listing solutions across multiple technologies — Agentforce, MuleSoft, Tableau, and Slack — while delivering full transactability (Discover → Purchase → Provision)
• The One AppExchange Framework is our dynamic, extensible data and services platform that expands the tenancy capabilities of the AgentExchange site
• This is not a search-maintenance role
• You will own the technical vision for discovery at scale, drive AI-native engineering across the search stack, and set the bar for relevance, latency, personalization, and observability across one of the most strategically important surfaces in the AgentExchange
• 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
• 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
• Define the Northstar architecture for the Search & Personalization domain — leading discovery, design, and execution tracks that align with the broader AgentExchange one-marketplace strategy
• Drive platform modernization — contribute to the migration off Heroku and onto Falcon, including the enabling roadmap for search services infrastructure migration
• 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
• 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
• 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
• Be a culture carrier — embody our values of Trust, Innovation, Engineering Commitment, and Curiosity. Challenge the status quo and build the best-engineered solutions

Benefits

• Medical Care
• Life Insurance
• Retirement Savings
• Employee Assistance Programs
• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year- Experience with real-time and near-real-time data pipelines for indexing and signal ingestion
• 10+ years of experience in software engineering, with a demonstrated track record of technical leadership on enterprise-scale search, recommendation, or personalization systems
• Experience designing and delivering recommendation or personalization systems — collaborative filtering, content-based ranking, behavioral signal processing, or equivalent
• Deep expertise in building and operating search systems at scale:
• Excellent communication skills — able to influence and build consensus across engineering, product, and executive stakeholders
• Search engine internals: indexing pipelines, ranking, query understanding, relevance tuning
• Proven ability to define and drive long-term technical vision and architectural roadmaps for large, complex search or ML-infused platform domains
• Strong commitment to engineering excellence: observability, telemetry, latency SLOs, CI/CD, service ownership, safe change practices, and production reliability
• Back End: Node.js, Java, or equivalent for high-throughput search services
• Search infrastructure: Elasticsearch, OpenSearch, Solr, or equivalent
• Hands-on experience integrating LLMs or GenAI into search products — AI-generated summaries, query expansion, semantic search, or conversational retrieval
• Hands-on experience with agentic systems, MCP tools/resources, or A2A patterns — particularly catalog and metadata requirements for new AI-native asset types
• Experience building multi-turn or conversational search experiences, including context management and session-aware ranking
• Experience with contextual or embedded discovery surfaces — delivering search within host product surfaces (e.g. in-app, in-builder, in-Slack contexts)
• Familiarity with marketplace or e-commerce search — faceted navigation, intent classification, CTR optimization, and funnel instrumentation
• Experience with personalization at scale — user modeling, preference inference, A/B experimentation, and behavioral analytics
• Strong security mindset — experience with data governance, access control, and security best practices for search and recommendation systems
• Experience with platform infrastructure migrations (e.g. Heroku → cloud-native platforms) and tech stack modernization
• Conversant with Salesforce Platform features and best practices
• A strong desire to learn technology and a polyglot attitude
• Proficient in written and spoken English