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

The Finance Manager will partner with leadership for planning, forecasting, and analysis in the Products & Technology sector, driving operational efficiencies and process improvements while managing budgets and reports.

Own Okta’s global Apple endpoint fleet using Jamf Pro, while supporting Windows and Linux management. Build automated, infrastructure-as-code device workflows, CI/CD pipelines, security controls, and cross-platform visibility tooling. Define technical architecture, ensure NIST/CIS/STIG compliance, provide Tier 3 escalation support, participate in on-call rotations, and act as Customer Zero by validating Okta products and influencing their roadmap.

Own Okta.com strategy, roadmap, performance, UX, content, and conversion optimization. Lead AI-driven website improvements, manage site structure and web projects, partner with Brand and Product Marketing, monitor analytics, and deploy enhancements. The role requires leadership of complex B2B websites, cross-functional teams, marketing programs, CMS and web tooling, SEO, UX, experimentation, and executive-level roadmap communication.

Leads the global provisioning function for an enterprise SaaS organization, setting strategy, fulfillment standards, SLAs, capacity models, and automation priorities. Oversees tenant activations, contract adjustments, license fulfillment, escalations, reconciliations, audit controls, SOX and SOC compliance, and regulated-environment protocols. Manages a distributed team, develops talent, optimizes resource coverage, and reports operational performance to executives while partnering with Sales, Legal, Billing, Deal Desk, Engineering, and Business Technology.

Build and operate Python backend services and AWS infrastructure for autonomous identity operations agents. Responsibilities include durable workflows, enterprise connectors, PostgreSQL and vector retrieval, model API integrations, analytics pipelines, usage reconciliation, deployment automation, observability, tenant isolation, audit controls, and recovery testing. The role owns production reliability and safe integrations with Okta, AWS, ServiceNow, and other enterprise systems.

Administer and optimize Okta’s revenue enablement technology stack, including permissions, taxonomy, metadata, integrations, search, analytics, governance, and AI-assisted content delivery. The role maintains platform health, troubleshoots issues, supports sales users, evaluates AI capabilities, and partners cross-functionally to improve content discoverability, adoption, and system performance.

Owns Okta’s technical integration layer for enterprise AI environments. The role identifies customer integration needs, designs and builds solutions, develops reusable architectures and code, and converts recurring customer requirements into product capabilities. It leads complex technical programs across customers, engineering, product, field engineering, professional services, and technology partners while supporting partner enablement, demonstrations, and scalable deployments.

Leads Okta’s Site Reliability Engineering organization supporting production SaaS services. Defines reliability strategy, builds scalable cloud infrastructure and platforms, drives automation, observability, incident response, post-incident improvement, and CI/CD maturity. Partners with engineering and product leaders, manages managers and global teams, hires and develops SRE talent, and advances Kubernetes, Terraform, cloud-native architecture, and self-service capabilities across AWS-hosted services.

Build reliable autonomous AI agents for identity operations and security. Responsibilities include developing agent harnesses, integrating OpenAI and Anthropic models, creating evaluation datasets and replay tests, measuring model quality and safety, protecting tenant boundaries, and improving prompts, retrieval, tools, and model routing. The role requires strong Python engineering, production LLM application experience, agent workflow or evaluation expertise, and ownership across development, release, and customer use.

Build reliable autonomous AI agents for identity operations and security. Develop agent harnesses for planning, tool use, memory, recovery, authorization, and workflow execution. Integrate and evaluate OpenAI and Anthropic models using quality, latency, cost, and safety metrics. Create evaluation datasets, replay tests, regression tests, and protections against prompt injection and unsafe actions. Own production improvements across code, evaluation, release, and customer use.