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

Own a focused portfolio of strategic AI-native customers, building executive relationships and leading complex enterprise software sales cycles from discovery through adoption. Develop account strategies, drive revenue and forecasting, collaborate with technical and business teams, engage ecosystem partners, and provide customer insights to influence product strategy. The role requires strong AI and modern infrastructure knowledge, enterprise sales expertise, executive presence, strategic planning, and familiarity with open-source and product-led growth.

Lead Elastic’s inorganic growth strategy through M&A and strategic partnerships. Responsibilities include identifying acquisition targets, conducting market assessments and due diligence, building financial models and valuations, negotiating and closing transactions, planning post-merger integration, and presenting recommendations to executive and board-level audiences. The role partners closely with product, finance, legal, and executive leadership.

Own a strategic enterprise territory, generate outbound pipeline, qualify complex opportunities using MEDDPICC, and deliver tailored executive value narratives and demos. Lead negotiations, close multi-year consumption-based contracts, maintain forecast accuracy, and collaborate with Solutions Architects, Customer Success, Marketing, and RevOps. The role requires strong SaaS enterprise sales performance, technical and cloud fluency, executive communication, negotiation skills, and familiarity with observability, security, search, or open-source infrastructure.

Lead technical strategy and integrations with OpenAI and Anthropic, build prototypes and reference architectures using Elasticsearch as the retrieval layer, influence product roadmap, own partner relationships, and create co-branded go-to-market and enablement content.

Lead and scale a specialized AI-native sales unit to sell Elastic's search and generative AI platform directly and via co-sell partnerships. Manage and coach account and alliance teams, build GTM and sell-with strategies, drive quota attainment, engage C-suite and partners, and influence product roadmap through cross-functional collaboration and hands-on deal support.

Recruit and advise hiring teams across G&A and Marketing, managing the full hiring lifecycle from talent engagement through offer and onboarding. Build candidate pipelines, partner with hiring managers and executives, improve candidate experience, execute recruiting strategies, and represent Elastic’s employer brand. The role requires managing multiple requisitions, recruiting for varied corporate functions, influencing stakeholders, and using ATS and recruiting technologies.

Provides sales operations strategy, planning, forecasting, reporting, and analysis for public sector sales teams. Owns pipeline KPIs, budgets, forecasts, variance analysis, territory planning, resource models, and early-warning systems. Partners with Sales, Marketing, Finance, and leadership to improve pipeline conversion, coverage, bookings, and growth plans. Supports capacity planning, incentive strategy, overlay sales teams, and go-to-market initiatives.

Partners with enterprise and strategic clients to quantify solution value, develop ROI analyses and business cases, facilitate executive workshops, and deliver value realization strategies. Collaborates cross-functionally to identify use cases, manage initiatives, align stakeholders, and communicate technical solutions as measurable business outcomes. The role requires expertise in value engineering, consulting, value-based selling, financial modeling, change management, and executive presentations.

Own a focused portfolio of strategic AI-native enterprise customers, building executive relationships and leading complex software sales cycles from discovery through adoption. Develop account strategies, drive revenue, manage forecasting and pipelines, collaborate with technical and business teams, partner across the AI ecosystem, and provide customer insights that influence product strategy. The role requires strong enterprise sales performance, AI and modern infrastructure knowledge, executive presence, strategic planning, and experience with complex, multi-year opportunities.

The Senior Business Systems Analyst will gather and document CPQ requirements, analyze workflows, translate business needs into technical specifications, and facilitate communication between stakeholders and IT teams. Responsibilities include leading validation sessions, coordinating cross-functional input, documenting defects, supporting solution testing, conducting user acceptance testing, and improving CPQ processes. The role requires strong Salesforce CPQ expertise, business systems analysis experience, process documentation skills, and familiarity with Agile and Scrum methodologies.