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

Build and deploy reliable AI-agent automations with enterprise customers. Write JavaScript or TypeScript tools, debug browser, agent, application, and backend failures, and develop tests for business outcomes and recovery. Lead customer discovery, hands-on implementation, launches, monitoring, and support ownership. Translate deployment lessons into reusable tools and product improvements while partnering with core engineering. The role involves approximately 40–60% travel for onsite customer work.

Build and deploy reliable AI-powered enterprise workflow automations alongside customers. Responsibilities include writing JavaScript tools, debugging browser and backend behavior, testing business outcomes and recovery paths, launching workflows, documenting monitoring procedures, and turning deployment lessons into reusable tools and product improvements. The role involves direct customer collaboration and approximately 40–60% travel.

Leads the strategy, roadmap, operating model, and business performance of Salesforce’s premium Signature Success Plan. Owns packaging, pricing, profitability, customer outcomes, retention, and growth while partnering across Product, Sales, Delivery, Marketing, Finance, and Operations. Builds customer insights systems, integrates AI and digital experiences, represents the offer with executive stakeholders, and leads a team of product managers and directors.

Leads sales strategy, analytics, and program execution by building Snowflake datasets, dashboards, account scoring models, segmentation, resource scenarios, and executive reporting. Designs pipeline-generation programs, supports territory planning and forecasting, and partners cross-functionally to improve seller productivity and conversion. Uses AI and automation to streamline reporting and business workflows while presenting data-driven recommendations to senior sales leaders.

Leads the vision, modernization, governance, and operation of Salesforce’s enterprise data platform. Owns architecture, data quality, reliability, SLAs, financial and product usage metrics, vendor management, and platform investment. Builds trusted data products supporting AI, analytics, and decision-making. Leads managers and individual contributors across data engineering, analytics engineering, analysis, and product partnerships while driving hiring, coaching, performance management, and cross-functional alignment.

Leads end-to-end AIforce strategy and innovation programs, including API-first architecture, governance, semantic standards, pre-GA testing, cross-functional execution, ROI measurement, product gap management, and platform-scale rollout. Translates internal implementation outcomes into executive briefings, customer case studies, field enablement, and repeatable architectural and go-to-market patterns. Coordinates Product, Architecture, Business Operations, Engineering, and GTM stakeholders across Salesforce AIforce initiatives.

Design, develop, test, debug, and deploy core functionality for large-scale, cloud-native distributed database systems. Responsibilities include solving scalability and performance challenges, improving system robustness, conducting root-cause analysis, and supporting mission-critical services. The role requires expertise in distributed computing, database internals, operating systems, networking, storage, concurrency, and large-scale system architecture, with strong Java or C programming skills.

Build customer-facing AI prototypes, API integrations, agent workflows, and demonstrations across Salesforce AI Labs products and enterprise systems. Identify high-value customer use cases, communicate technical and business value to diverse audiences, experiment with agentic architectures, measure outcomes, and create reusable reference architectures, integrations, environments, and playbooks. Feed technical findings and customer needs into product decisions.

Leads Salesforce Database AI engineering strategy, roadmap, architecture, delivery, and operations. Manages and develops AI engineers and data scientists, guides decisions involving agents, models, tools, and evaluation, and delivers production AI capabilities for database operations, including proactive detection, investigation, security, and automation. Partners across engineering to prioritize initiatives, resolve dependencies, communicate tradeoffs, and develop technical leadership.

Leads strategic planning and execution for Dreamforce and other paid events. Partners with directors, coordinates cross-functional workstreams, coaches leads, manages agencies and vendors, oversees budgets and timelines, owns event metrics and reporting, and drives onsite delivery. The role requires executive communication, strategic planning, operational judgment, brand alignment, and domestic and international travel.