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

Lead AI and technical diligence for acquisitions and strategic investments, evaluating architectures, models, data, infrastructure, security, scalability, technical differentiation, and technical debt. Advise founders and engineering leaders, assess talent and build-versus-buy decisions, identify technical risks and opportunities, and develop shared AI capabilities across portfolio companies. Serve as a senior technical advisor while translating complex findings into clear recommendations for AI Labs leadership.

Lead enterprise AI and solutions architecture across agent orchestration, MCP capabilities, semantic data, headless Salesforce experiences, AI-assisted development, and AI governance. Advise C-suite stakeholders, resolve platform-fit ambiguity, collaborate with pre- and post-sale teams, and remain engaged through delivery, including recovery of stalled enterprise rollouts.

Qualify inbound and outbound SMB leads, conduct personalized prospecting, and develop sales pipeline through phone outreach. Maintain Salesforce data integrity, use AI-powered insights to optimize workflows and pipeline hygiene, and provide feedback on outreach effectiveness. This early-career program builds sales, operational, communication, and technical skills, with successful completion leading to potential advancement as a Sales Development Representative.

A 24-month rotational fellowship developing AI solutions across product engineering, product management, customer deployments, and enterprise transformation. Fellows build and deploy AI applications, agents, and conversational solutions; collaborate with researchers, engineers, customers, and product teams; and own projects from experimentation through production. The program emphasizes Python, software engineering, AI/ML development, customer communication, and exposure to cloud infrastructure, scalable data processing, and MLOps.

Leads Salesforce Customer Success readiness for platform evolution, security mandates, acquisitions, AI-driven change, and new product launches. Builds enterprise-wide NPI, governance, readiness, enablement, and adoption frameworks; partners with Product, Engineering, Platform, and Security executives; translates technical change into customer and operational impact; and uses customer, support, adoption, risk, and product data to guide priorities and influence roadmaps.

Leads Cloud Success strategy, operations, AI transformation, analytics, experience design, organizational planning, executive communications, and cross-functional execution. Builds scalable operating systems, dashboards, AI-enabled tools, and processes that improve employee productivity, customer experience, decision-making, and organizational alignment. Serves as a strategic executive partner to the EVP of Cloud Success and shapes the function’s enterprise narrative and measurable business impact.

Own the strategy and architecture for Salesforce’s internal agentic platform, including MCP, model gateways, agent runtimes, retrieval systems, and AI-enabled developer experiences. Establish secure, reliable, observable, and cost-effective patterns for production agents, models, tools, and enterprise knowledge. Prototype and validate architectures, guide implementation, align engineering and business stakeholders, review critical designs, communicate decisions, and mentor technical leaders.

Optimize Agentforce Operations’ distributed backend systems for scalability, resilience, and performance. Responsibilities include diagnosing architectural issues, improving data models and asynchronous operations, tuning infrastructure and databases, developing observability and experimentation tools, preventing regressions, collaborating across teams, and mentoring engineers. The role requires deep expertise in backend engineering, distributed systems, performance optimization, Golang, GraphQL, Postgres, and cloud infrastructure, with AWS experience preferred.

Leads security governance engineering by translating regulatory, compliance, and security requirements into implementable engineering controls. Partners with Engineering, Product Security, Legal, and Assurance to evaluate control design and operation across applications, platforms, infrastructure, and cloud environments. Develops oversight, control incident management, change enablement, security champion engagement, M&A risk assessments, and executive reporting. Tracks emerging regulations, including AI governance and the EU AI Act, and improves control reliability and enterprise risk visibility.

Own the full Salesforce Slack sales cycle for State and Local Government and Education customers. Generate and manage opportunities, prospect through networking and cold calling, meet sales quotas, forecast accurately, and drive customer satisfaction and retention. Serve as a Slack subject matter expert, enable account teams, deliver product demonstrations, collaborate with solution engineers, and build executive-level relationships across assigned accounts and regions.