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

Lead the technical architecture and implementation of scalable GTM systems, Salesforce solutions, integrations, AI-powered workflows, data models, and scoring frameworks. Build advanced Salesforce applications using Apex, Flow, APIs, and custom objects; manage Workato and Zapier integrations; prototype with AI development tools; translate executive goals into technical designs; and mentor GTM engineers and administrators on development, testing, documentation, and deployment best practices.

Own product positioning, messaging, launches, sales enablement, competitive intelligence, market research, and analyst relations for SecurityScorecard’s cybersecurity platform. Partner cross-functionally with Product, Sales, Customer Success, Demand Generation, and Content to translate cyber risk capabilities into compelling buyer narratives, support go-to-market execution, train sellers, and measure marketing impact through launch, pipeline, adoption, and win-rate KPIs.

Lead and modernize a global Customer Success organization for an enterprise cybersecurity software company. Responsibilities include building high-performing teams, implementing AI-enabled customer health processes, driving cross-functional accountability, managing complex enterprise customer journeys, and partnering with Sales on retention, expansion, and customer growth. The role requires strong leadership, account planning, enterprise deal experience, cybersecurity expertise, and a metrics-driven approach.

Sell SecurityScorecard's cybersecurity ratings to net-new enterprise accounts (5,000+ employees or $750M+ revenue). Own a $1.75M net-new ARR quota, drive MEDDPIC-led discovery, navigate complex buying committees and channel-assisted deals, and maintain accurate pipeline and forecasts.

Lead end-to-end product design for complex platform features, contribute to and maintain a reusable design system, run usability testing and analytics-driven iterations, ensure WCAG 2.2 accessibility, and partner closely with Product and Engineering to deliver production-ready, AI-enabled UI solutions.

Design, build, and scale Kubernetes-based, multi-tenant infrastructure and CI/CD systems. Own AI tooling infrastructure (MCP servers) and secure AI access patterns. Optimize CI/CD, streaming analytics (Kafka, Flink, ClickHouse), observability, and incident response. Implement IaC (Terraform, Helm, Pulumi), GitOps (Argo CD), progressive delivery, automated testing, and mentor engineering teams.