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

Lead Decision Science for Salesforce Customer 360 Apps: set data strategy, define KPI frameworks, build scalable analytics products, advise executives, and grow an AI-native analytics organization that leverages LLMs and agent-based tools to drive product adoption, customer success, and revenue.

Enterprise Account Executive for Public Sector Higher Education: build C-level relationships, develop and execute long-term account strategies, coordinate internal resources, present Informatica and Salesforce value propositions, manage large named accounts, and drive growth within assigned colleges and universities.

Lead recruitment, onboarding, and activation of strategic partners for Slack's platform, focusing on AI agents, integrations, and monetization. Drive partner-driven solutions, GTM plans, and cross-functional alignment with product, engineering, legal, and go-to-market teams to scale partner ecosystems and platform adoption.

Lead GTM execution for Agentforce and Data 360, designing territory/quota plans, driving pipeline generation and enablement, owning operational cadence and analytics, coordinating cross-functional teams, and building a strategy "SWAT" team to accelerate consumption sales and scale deals.

Lead GTM strategy and post-sale adoption for MuleSoft and Agent Fabric. Own product launches, lifecycle programs, sales enablement, segmentation, KPIs, and cross-functional alignment. Manage and grow a 2–4 person product marketing team to drive activation, usage, expansion, and executive communications.

Design, build, test, and operate high-throughput, cloud-native backend services in Java for a data integration platform. Own features end-to-end, implement automated tests, engage in CI/CD and incident response, and collaborate across teams to ensure performant, reliable data pipelines and APIs.

Lead product strategy and delivery for FP&A planning platforms (Workday Adaptive/enterprise SaaS). Own roadmap, governance, release planning, and adoption. Partner with Engineering, Data, TPMs, and Finance stakeholders to define requirements, mitigate risks, evaluate AI/agentic automation, and measure outcomes for executive stakeholders.

As the Senior Manager of Corporate Development Operations, you will lead M&A operations, utilizing AI for process optimization, data analysis, and reporting to the Board of Directors.

The Staff Machine Learning Engineer will design, train, and deploy NLP models, optimize processes, and mentor engineers. The role demands expertise in model training and productionization.

Design, build, and operate multi-cloud platform services and automation in Go/Python for Kubernetes at scale. Improve GitOps and CI/CD (Flux/Argo CD), IaC (Pulumi/Terraform), observability, policy enforcement, and disaster recovery. Embed AI/agentic workflows for automation and self-healing, participate in on-call rotations, mentor engineers, write documentation and RFCs, and collaborate with SRE, security, and product teams to reduce toil and accelerate delivery.