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

Lead high-visibility go-to-market transformations across Salesforce by designing activation strategies, driving behavioral and policy changes, building change and delivery playbooks, influencing sales and strategy stakeholders, and measuring adoption and business performance. The role requires strategic problem-solving, executive communication, enterprise transformation expertise, and strong familiarity with sales strategy or revenue operations.

Supports corporate governance and securities legal matters, including subsidiary formations and filings, board and committee meetings, D&O questionnaires, officer onboarding, SOX and audit documentation, SEC filing records, Section 16 filings, restricted stock releases, and process improvements.

Lead the architecture and implementation of planet-scale distributed systems, Kubernetes control planes, APIs, and asynchronous workflows. Drive technical direction for the Falcon Kubernetes Platform, evaluate open-source integrations, make major architectural decisions, mentor engineers, and influence cross-functional stakeholders. Design infrastructure-as-code, CI/CD, observability, and cloud solutions operating across thousands of clusters while leading multiple initiatives and advancing DevOps practices.

Designs and owns full-stack AI developer productivity products and platforms, including desktop applications, backend APIs, data pipelines, dashboards, telemetry, integrations, and developer tools. Leads technical design for scalable AI coding tool integrations, translates ambiguous requirements into production software, and manages reliability, observability, performance, security, and supportability. Evaluates human- and AI-generated code and advances prompt engineering and system-context practices for reliable AI-assisted development.

Lead enterprise endpoint and defense architecture across endpoint, cloud, SaaS, email, network, and perimeter security. Own vulnerability and exposure management, reference architectures, technical standards, telemetry integration with SIEM and SOAR, threat modeling, automation, technology evaluations, PoCs, RFPs, and acquisition assessments. Partner with product, engineering, and program teams on security roadmaps, platform modernization, and deployment across on-premises, hybrid, and multi-cloud environments.

Design, develop, test, and support core functionality for a cloud-native distributed database at petabyte scale. Responsibilities include solving scalability and performance challenges, improving system robustness, debugging defects, conducting root-cause analysis, supporting releases and deployments, and owning architecture through customer support. The role focuses on database internals, distributed transactions, replication, networking, high availability, monitoring, and serviceability.

Serve as a strategic partner to C-staff leadership by optimizing executive calendars, coordinating complex domestic and international travel, preparing meetings, managing confidential communications, collaborating with executive assistants, tracking action items, and leading executive events. The role requires at least three days per week in a designated office hub, with flexibility for additional onsite support during critical meetings, board visits, QBRs, and offsites.

Architect data-driven threat-detection strategies, translate complex security threats into mathematical problems, build probabilistic models and graph-analytics detections, and operationalize production-grade machine learning to minimize alert fatigue across the security organization.

Lead emerging-technology product development from concept through production-ready MVPs. Collaborate with product, design, engineering, operations, customers, and early adopters to define requirements, prioritize features, validate ideas through rapid experimentation, and deliver measurable customer value. Monitor technology trends, gather customer insights, shape roadmaps, write product requirements, and track success metrics in a fast-moving innovation lab environment.

Lead product data science for Slack platform monetization, shaping product and GTM strategy through statistical analysis, experimentation, forecasting, segmentation, predictive modeling, and measurement. Partner with Product, Data Engineering, researchers, and business strategy teams to build scalable analytical foundations, identify growth and adoption opportunities, influence executive decisions, prioritize roadmaps, and mentor team members.