Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own an enterprise territory, generate pipeline, qualify complex opportunities using MEDDPICC, deliver executive-level value stories and demos, negotiate multi-year consumption contracts, and close high-value SaaS deals. The role requires technical fluency in search, observability, security, cloud economics, and usage-based pricing, plus close collaboration with Solutions Architects, Customer Success, Marketing, and RevOps.

Serves as a technical authority and trusted advisor for sales teams, customers, and partners. The role develops customer architectures, demonstrates Elastic solutions, supports sales cycles from discovery through technical win, enables partners, creates sales collateral, engages communities through events, and communicates customer needs to product and engineering teams. The position requires strong technical presales and customer relationship skills, with 30% regional travel and occasional international travel.

Own the vision and roadmap for Elastic’s US public sector offering across FedRAMP and DoD IL5 environments. Translate compliance and agency requirements into product priorities, collaborate with Engineering, Security, Compliance, Legal, Sales, and Marketing, support government customers, track regulatory changes, and develop market insights. The role requires deep technical product management experience, federal compliance expertise, cloud knowledge, and eligibility to work in restricted US government environments.

Own renewal base analytics, multi-year forecasting, renewal targets, quota inputs, and bookings classification policy within GTM FP&A. Partner with Sales, RevOps, Finance, IT, and Salesforce engineering to resolve data issues, operationalize business rules, connect recurring-revenue metrics to enterprise financial plans, and support annual planning, reforecasting, scenario analysis, and board reporting.

Designs and implements analytics and query capabilities in Elasticsearch, develops data-intensive features, resolves complex bugs, optimizes data structures and algorithms, and contributes modern Java code. Collaborates autonomously with globally distributed engineering, UI, solutions, and open-source communities. Provides technical expertise, guides projects from design through delivery, and uses AI to accelerate development, debugging, and code optimization.

Lead the technical vision, roadmap, and development of Elasticsearch’s ES|QL analytical engine and query capabilities. Design data-intensive systems, algorithms, APIs, and compute infrastructure; research search and analytics technologies; collaborate across product and engineering teams; mentor senior engineers; and contribute hands-on modern Java development. The role requires autonomous technical leadership, expertise in database internals and analytics systems, and the ability to guide complex projects from conception through delivery.

Set technical direction for Elastic Cloud Serverless control-plane initiatives, designing distributed systems that orchestrate projects across AWS, Google Cloud, and Azure. Lead multi-quarter, cross-team delivery; write and review Go code; improve reliability, security, and cost efficiency; investigate incidents; participate in on-call; mentor engineers; and advise product and engineering leaders on technical trade-offs and roadmap decisions.

Leads competitive intelligence for Elastic Search by analyzing competitors, products, pricing, packaging, marketing, and market trends. Creates battlecards, training, comparisons, blogs, and web content that communicate product differentiation. Tracks competitive developments, supports win/loss analysis, and partners with product marketing, product management, sales, engineering, and leadership to shape positioning and go-to-market strategies. Participates in industry events and translates technical insights into compelling business value.

Lead development of Elasticsearch vector similarity search capabilities, including designing algorithms and data structures, implementing features, fixing bugs, and improving code quality. Collaborate asynchronously with a globally distributed engineering team and open-source community. Serve as a subject-matter expert on vector search relevance and implementation while contributing modern Java code and guiding cross-functional initiatives autonomously.

Lead Elasticsearch search relevance and vector search initiatives, designing and implementing new search features, algorithms, data structures, and bug fixes in modern Java. Improve search speed and relevance, contribute to Lucene, collaborate with a globally distributed engineering community, guide projects autonomously, review code, and work with technologies including Elasticsearch, Solr, PostgreSQL, MongoDB, and Cassandra.