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

The AI Solutions Executive generates, qualifies, and closes AI pipeline sales, collaborating with field teams to deliver tailored solutions and proposals.

The Consulting Systems Engineer will lead technical sales strategy, design innovative solutions, and collaborate with sales counterparts to drive customer engagements and satisfaction.

Lead delivery and strategic growth of government IT programs. Manage virtual service teams, client relationships, executive escalations, contract requirements, financial forecasting, risks, reporting, service reviews, proposals, and cross-functional collaboration across sales, finance, operations, IT, partners, and government clients.

Owns workforce enablement for Strategic Resourcing, including onboarding, operational training, process documentation, knowledge management, and live facilitation. Coordinates SR360 associate rotations, mentorship, learning objectives, progress reporting, and continuous improvement. Partners with subject-matter experts and operational leaders to translate business processes and system changes into practical training resources. Analyzes participation, feedback, employee questions, and knowledge gaps to improve readiness, adoption, and operational consistency.

Supports quoting and order management for assigned accounts, including quote responses, order processing, product information, tracking, technical configuration validation, promotions, partner registration, and reporting. Builds account and OEM product knowledge, identifies upsell opportunities, and maintains stakeholder relationships. The role also assists with onboarding sales operations employees and requires PST-hour availability and travel of less than 25%.

Develop full-stack software and database applications across legacy and modernized systems. Integrate AI capabilities using LLMs, agents, and automation; contribute to web platform quality, resiliency, and upgrades. Participate in Agile planning, development, testing, releases, demonstrations, and retrospectives. Provide post-production support, including quarterly on-call rotation, while collaborating with product teams to deliver reliable solutions supporting sales operations.

Develop and operationalize AI-native engineering tools, workflows, standards, and reference architectures across the enterprise. Research emerging technologies, build proofs of concept, integrate approved tools, and create scalable engineering patterns. Develop and deliver AI training, tutorials, documentation, presentations, and demonstrations for technical teams and executives. Support adoption through office hours, change management, stakeholder communication, troubleshooting, and feedback gathering.

Leads consulting engagements that design, build, evaluate, and deploy enterprise agentic AI and infrastructure automation solutions. Responsibilities include multi-agent orchestration, LLM and model-platform integration, RAG, tool and API connectivity, guardrails, observability, testing, and production rollout. The role advises client executives, translates business needs into AI strategies, mentors engineers, develops reusable architectures and evaluation assets, and drives responsible, measurable AI outcomes.

Designs, builds, and operates observability and SRE systems that improve IT service visibility, reliability, performance, and resilience. Responsibilities include metrics collection, monitoring, alerting, APM, RUM, synthetic transactions, SLOs, incident response, capacity planning, infrastructure automation, self-healing systems, and production readiness reviews. The role also applies AI-enabled operations, supports on-call rotations, reduces operational toil, and partners with development teams on architecture and chaos testing.

Designs and scopes enterprise AV and meeting room services, leading technical discovery, work breakdown structures, labor estimates, pricing, proposals, and customer-ready SOWs. Advises customers on room platforms, AV systems, networking, security, accessibility, and deployment models. Collaborates with sales, delivery, engineering, partners, and integrators to ensure solutions are deliverable. Presents proposals and executive briefings, supports multi-site rollouts, and develops reusable standards, estimating tools, productized offerings, and managed services. Travel is required up to 25%.