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

Manage and grow an established portfolio of higher education clients across the Midwest/Great Lakes. Focus on retention, upsell/cross-sell, client satisfaction, product advocacy, account reviews, cross-functional coordination, and documenting activity in Salesforce. Travel ~30% for campus visits, conferences, and client engagement.

Player-coach product leader who owns a core area of the Horizon platform end-to-end, ships AI-enabled, data-driven features, mentors a small PM team, defines strategy and roadmap, coordinates cross-functional launches, and ensures PCI-compliant payment solutions for higher education customers.

Lead strategy, roadmap, and execution for a core Horizon product workstream. Translate college, student, and payer insights into prioritized requirements, define AI applications, track success metrics, and partner with engineering, design, compliance, and GTM teams to deliver PCI Level 1–compliant, scalable payment experiences for higher education.

Lead and grow a market segment from single validated product to multi-product portfolio with full P&L ownership. Start hands-on as product manager (roadmap, prioritization, discovery, GTM), then build and lead product teams, establish sales and operations, define segment strategy, and drive revenue, profitability, and product adoption.

Sell services-led technology solutions to SLED (state, local, education) clients nationally. Build pipeline, qualify opportunities, lead capture/procurement, co-sell with partners (Google Public Sector), close complex, multi-stakeholder deals, and maintain CRM/forecasting discipline while representing Nelnet at industry events.

Own token economics and cost-optimization for enterprise AI platforms. Instrument LLM workloads, analyze token usage, implement caching/batching and model-tier strategies, build utilization and cost dashboards, recommend and execute cost-saving changes, and translate findings into org-wide best practices.

Own and operate enterprise AI platforms and build/deploy AI Agents across Shared Services. Configure platform integrations (Claude, Copilot, Gemini), maintain reusable assets, enable segments, and apply engineering standards (branching, review gates, CI/CD) for responsible AI deployments.

Monitor and analyze logs in SIEM and observability tools, build/maintain cloud infrastructure, tune detections, investigate alerts, configure logging pipelines (Cribl), participate in change control and audits, maintain security documentation, and stay current on threat intelligence.

Lead development and deployment of machine learning and LLM models, analyze large datasets, build PowerBI dashboards, mentor junior data scientists, and present findings to leadership while automating processes and improving model performance.

Own security and compliance for the Enterprise AI program by building security tooling, policy-as-code guardrails, reusable secure AI components, and observability to detect anomalous model behavior while partnering with Cyber Security and delivery teams.