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

Own the success, retention, renewal, and growth of strategic enterprise SaaS customers. Build executive relationships, lead onboarding and adoption, develop success plans, conduct QBRs, identify expansion opportunities, and guide customers toward measurable business outcomes. Use AI and customer data to predict risk, automate workflows, improve engagement, and inform strategic recommendations. Partner cross-functionally with Sales, Product, Engineering, Professional Services, and Support to resolve issues and influence product direction.

Own enterprise new-logo acquisition from prospecting through close. Build pipeline, lead value-based sales cycles with senior stakeholders, deliver product demos, negotiate contracts, manage forecasts, and exceed revenue targets. Use AI-assisted prospecting, proposals, pricing, and deal insights while partnering with Marketing and Business Development. The role requires enterprise B2B SaaS sales experience, full-cycle outbound selling, strong presentation and negotiation skills, and familiarity with facilities, workplace, HR, IT, finance, or real estate buyers.

Own the full-cycle recruitment function across the US, Canada, and Costa Rica. Partner with executives and hiring managers on workforce planning, sourcing, hiring strategy, interviews, offers, and candidate experience. Build diverse talent pipelines, scalable recruiting programs, employer branding initiatives, and data-driven process improvements. Use AI and recruiting technology to improve efficiency while maintaining ethical, compliant, and inclusive hiring practices.

Lead technical strategy for complex B2B SaaS sales opportunities from discovery through close. Responsibilities include solution architecture, tailored software demonstrations, technical evaluations, POCs, enterprise integration discussions, RFPs, security reviews, and solution documentation. Partner with Account Executives and internal teams while using and validating AI tools to accelerate research, solution design, and customer deliverables.

Own the revenue enablement operating system across SDR, sales, solutions consulting, and customer success. Build onboarding, certification, knowledge management, technology, AI-enabled workflows, dashboards, and scalable enablement programs. Analyze performance and adoption data, improve ramp and readiness, manage vendors and dependencies, and partner cross-functionally to translate business priorities into repeatable learning experiences and measurable GTM outcomes.

Own technical and solution strategy throughout complex B2B SaaS sales cycles. Lead discovery, solution architecture, tailored demonstrations, technical evaluations, POCs, RFPs, security reviews, and integration discussions. Partner with Account Executives and internal teams to translate customer needs into measurable workplace outcomes. Use and validate AI tools for research, solution design, documentation, and workflow improvement while maintaining technical judgment and customer trust.

Own and expand a portfolio of strategic enterprise accounts through multi-year account planning, executive engagement, pipeline creation, complex deal management, and platform-level solution selling. Build relationships with C-level stakeholders, identify whitespace opportunities, shape value propositions, forecast accurately, and collaborate with Client Success, Product, and Solutions teams to drive adoption, measurable client outcomes, and commercial growth.

Own the strategy, vision, roadmap, discovery, execution, and measurement of workplace management and employee engagement products. Partner with Engineering, Design, Research, Marketing, Sales, Customer Success, and Support to identify customer problems, prioritize opportunities, leverage AI-enabled workflows, deliver product capabilities, and measure customer and business outcomes.

Owns the success, retention, renewals, and expansion of strategic enterprise SaaS customers. Builds executive relationships, leads onboarding and adoption, develops success plans, conducts QBRs, analyzes customer health and business outcomes, and partners cross-functionally to resolve issues and influence product direction. Uses AI and customer success platforms to predict risk, automate workflows, identify opportunities, and improve scalable customer success practices.