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

Lead the AWS practice’s technical strategy, architecture, delivery quality, customer engagements, and partnership initiatives. Design enterprise cloud, data, AI, and generative AI solutions; guide complex transformation programs; support executive briefings and presales; and establish governance and technical standards. Build reusable AWS solution assets, mentor architects and engineers, drive certifications, and help grow the consulting practice and revenue.

Lead AuxoAI’s US brand and ecosystem marketing engine across Google Cloud and AWS partnerships. Own partner co-marketing, field events, earned media, PR, executive speaker programs, thought leadership, and influencer engagement. Build pipeline and market credibility while managing the India-based content and design team, aligning creative output with US partner and field priorities. Track brand visibility, media impact, event ROI, partner marketing performance, and content quality.

Lead enterprise sales for AI, cloud, and data transformation across Fortune 500 and Global 2000 accounts. Own a regional territory, expand 3-4 strategic accounts, acquire new logos, drive pipeline and annual bookings, build C-suite relationships, coordinate with hyperscalers and partners, and lead complex AI consulting and transformation pursuits.

The Full Stack Engineer will develop and maintain scalable web applications, design system architecture, optimize performance, and collaborate with teams for code reviews in a hybrid work environment.

Owns end-to-end architecture and technical outcomes for enterprise Gemini AI deployments on GCP. Designs the GenAI platform, agent ecosystem, context graph, data foundation, governance, runtime, and adoption strategy. Advises executives, leads architecture reviews, resolves cross-track tradeoffs, owns technical proposals and estimates, manages delivery risk and costs, and develops delivery teams. Requires production GenAI delivery, cloud architecture, graph and semantic data expertise, regulated-environment experience, and senior client engagement leadership.

Build and deploy production LLM agents for client engagements on the Gemini Enterprise Agent Platform. Responsibilities include agent development, tool and MCP integration, graph-based grounding, data pipelines, evaluation, observability, governance, infrastructure deployment, and catalog publishing. The role partners closely with client engineers, supports proofs of concept and demos, and transfers maintainable solutions to client teams.