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

Lead architecture and design of CIAM and IAM solutions across customer, partner, and workforce use cases. Define reference architectures, integration patterns, and identity data models. Guide implementations (Okta, Auth0, Entra ID, cloud, CRM, ITSM), ensure security, scalability, compliance, and mentor teams while producing roadmaps and standards.

Own AHEAD’s VMware by Broadcom partnership GTM strategy and revenue growth, expanding annual revenue from approximately $700M to over $1B. Lead Broadcom relationships, identify new business opportunities, support strategic deals, coordinate international expansion, align cross-functional teams, track partnership KPIs and deal economics, and develop sales enablement and marketing programs. Provide executive reporting, prioritize initiatives, escalate issues, and drive accountability across sales, technical, marketing, delivery, operations, procurement, finance, and regional teams.

Leads critical client escalations from initiation through closure, coordinating engineering, delivery, operations, and client success teams. Drives containment, root cause analysis, corrective actions, quality management, and continual improvement. Serves as the primary client advocate during high-visibility incidents, communicates with executives and clients, tracks resolution and satisfaction metrics, and presents performance insights to governance leaders. The role strengthens service delivery processes, prevents recurring issues, and promotes accountability and sustainable operational excellence.

Leads cloud financial management and optimization across AWS, Azure, and GCP clients. Analyzes spending, allocation, commitments, unit economics, forecasts, and savings opportunities; builds reporting and automation with SQL and scripting; and governs tagging and billing data. Advises technical, financial, procurement, and executive stakeholders, presents recommendations, executes remediation, mentors engineers, supports pre-sales, and improves FinOps standards and delivery practices. The remote U.S. role includes up to 10% domestic travel and occasional after-hours support.

Lead enterprise Azure and AI agent platform engagements from assessment through production delivery. Design landing zones, migrations, networking, identity, governance, FinOps, Microsoft Foundry environments, Copilot Studio solutions, and evaluation-driven CI/CD pipelines. Develop infrastructure and agents in code, author client-ready architecture and operational documentation, lead consulting teams, present to executives and governance boards, and enable client teams to operate delivered platforms.

Lead architecture, design, and delivery of AI and agentic solutions on the ServiceNow platform (Now Assist, AI Agents, Predictive Intelligence). Mentor teams, run client workshops and demos, design integrations with LLMs and data sources, create AI adoption roadmaps and governance, and act as technical escalation and presales AI expert. Travel required (~25%).

Lead client-facing advisory engagements, direct delivery teams and workstreams, run workshops, manage scope/timelines, produce and present deliverables, support business development, and mentor team members to enhance advisory offerings.

Lead end-to-end design and build of AI-enabled ServiceNow solutions (Now Assist, AI Agents, AI Search), guide platform integrations and data foundations, ensure governance and evaluation, mentor developers, and drive AI enablement across at least one additional ServiceNow product suite.

Leads client-facing technology consulting engagements, including strategy and roadmap workshops, requirements gathering, project delivery, milestone management, and executive presentations. Directs diverse advisory and technical teams, manages client expectations, reviews deliverables, supports sales pursuits, develops proposals, expands consulting offerings, advises on technology trends, and mentors team members. The role focuses on transformative modernization initiatives involving cloud adoption, automation, platform engineering, and agile-at-scale adoption.

Lead the architecture and deployment of enterprise-grade AI solutions. Collaborate with clients and technical teams to translate requirements into technical designs, ensuring solutions are scalable and secure. Establish engineering standards, mentor teams, and drive the integration of AI into enterprise environments.