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

Owns the roadmap and lifecycle of Agentforce workflow automation solutions. Designs and validates process blueprints, translates customer needs into PRDs and technical requirements, manages backlogs and Agile delivery, conducts customer research, and collaborates with engineering, design, and customer-facing teams to deliver scalable enterprise B2B SaaS solutions.

Lead Slack’s Slack Kit and Accessibility engineering team. Drive accessibility strategy, evolve the frontend design system and component library, guide CSS modernization and other major initiatives, establish multi-quarter roadmaps, and hire, coach, and develop engineers while building a sustainable, high-performing team.

Direct the strategy, roadmap, research, engineering, and production delivery of Salesforce Agentforce voice intelligence, including ASR, TTS, speech-to-speech, diarization, prosody, multilingual coverage, and real-time voice agents. Lead a 20–30-person technical organization, establish model quality and latency standards, manage partnerships and voice safety, and collaborate across product, infrastructure, legal, privacy, and go-to-market teams.

Build and maintain iOS developer tooling for Slack, including Bazel build systems, CI/CD pipelines, automated testing, and AI-agent workflows. Improve CI stability, merge times, and build performance through intelligent automation. Lead technical design, establish high code-quality standards, mentor iOS engineers, and troubleshoot complex development infrastructure across Slack’s iOS codebase.

Design, develop, operate, and optimize highly available distributed systems across large-scale cloud infrastructure. Build infrastructure automation, microservices, Infrastructure-as-Code, monitoring, and validation platforms using technologies such as Terraform, Kubernetes, and Docker. Participate in on-call operations, resolve complex production issues, improve reliability and performance, evaluate human- and AI-generated code, and apply advanced prompt engineering and AI development tools.

The Pre-Sales Data and AI Architect will design and operationalize enterprise data architectures, collaborating with teams to ensure effective integration of Salesforce D360 into complex ecosystems while driving customer success through innovative data solutions.

Leads marketing planning and strategy operations by building planning frameworks, managing outlook and actuals reporting, driving annual planning and quarterly close, and maintaining data governance. Partners with Finance and Strategy and marketing leaders on budget execution, spend analysis, financial adjustments, executive reporting, and strategic initiatives. Develops scalable enablement materials and insights to support decision-making across the global marketing organization.

Design, build, and deploy production agentic AI solutions for public sector, nonprofit, and education customers. Own end-to-end technical components, integrate data pipelines (Salesforce Data 360, Snowflake, Databricks), craft prompts/LLM tooling, monitor agent performance, and co-deliver customer-facing projects with Deployment Strategists. Travel ~25% and deliver measurable business outcomes.

Lead end-to-end engagements for public sector, nonprofit, and education customers to define agentic AI strategy, architect Salesforce-based solutions (Data Cloud, Agentic AI), manage deployments and adoption, coordinate delivery teams, and drive measurable value while providing product feedback.

Lead end-to-end customer engagements to define and deploy agentic AI strategy and solutions on Salesforce platforms. Own program management, adoption, stakeholder management, delivery coordination, and product feedback. Design AI/LLM solutions with responsible AI practices and drive measurable value; travel ~25% to customer sites.