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

The Finance Analytics Engineer will develop analytics-ready data models, collaborate with stakeholders to design data solutions, and support Finance reporting and AI use cases.

As an Automation Consultant, lead client automation projects, develop solutions, deliver customer-centric strategies, and mentor junior engineers while managing complex client relationships.

The Lead Solutions Architect advises stakeholders on strategic supply chain operations and technology direction, aligning solutions with business outcomes, and overseeing architecture standards.

The Senior Engineer will manage data center projects, build client relationships, and deliver complex solutions while working collaboratively with teams and adhering to timelines.

Lead Solutions Architect responsible for designing and validating enterprise networking solutions (routing/switching, SD-WAN, data center, wireless, identity-based access). Lead discovery, build cost/LoE models, craft proposals/SOWs, manage risk and deal governance, and align cross-functional teams to deliver delivery-ready, commercially defensible solutions.

The Execution Engineer will build AI-enabled delivery workflows and applications, using traditional coding and low-code platforms while ensuring strong engineering discipline and collaboration.

The Senior Manager will lead the technical strategy for marketing automation and AI solutions, manage a team, and design scalable platforms for internet and email campaigns, while integrating AI native patterns.

Lead solution architect for enterprise digital workspace programs. Design and validate solutions across collaboration, AV, endpoint modernization, Microsoft 365, VDI, unified communications and contact center. Own discovery, costing, SOW development, risk mitigation, and alignment of sales and delivery to produce delivery-ready, commercially defensible proposals.

Design and produce technical learning content (courses, videos, tutorials, guides). Translate complex technical topics for learners, collaborate with SMEs and product teams, maintain and update content, ensure accessibility and quality, and use learner feedback and analytics to improve materials.

The Data Engineer supports supply chain outcomes by building and maintaining data pipelines, designing data transformations, and collaborating with stakeholders to improve order-to-cash processes.