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

MBA Strategy and Planning Interns lead enterprise strategic initiatives from problem definition through execution. They develop business cases, metrics, KPIs, analyses, and executive-ready presentations; synthesize quantitative and qualitative data; collaborate cross-functionally; drive alignment; present recommendations to senior leaders; and apply AI and automation to business processes and decision-making.

Drive the end-to-end lifecycle of enterprise, API-first networking platform capabilities. Conduct customer discovery, analyze telemetry, define PRDs and roadmaps, collaborate with engineering, architecture, design, sales, and marketing, and integrate agentic AI into product workflows. Lead early-access programs, competitive analysis, feature validation, API scalability efforts, adoption initiatives, and customer feedback programs for Fortune 500 enterprises.

Lead technical marketing for Cisco AI infrastructure initiatives, serving as the technical authority between engineering, product management, field teams, partners, and customers. Define technical readiness, identify product gaps, translate field feedback into requirements, and create white papers, deployment guides, demonstrations, and workshops. Represent product strategy in customer and executive engagements while validating Kubernetes, cloud, GPU, automation, observability, and SRE capabilities for enterprise deployment.

Own the vision, strategy, roadmap, delivery, launch, adoption, and ongoing improvement of an AI infrastructure product. Lead customer discovery, requirements definition, technical tradeoffs, cross-functional alignment, metrics, competitive analysis, pricing input, partner strategy, and go-to-market readiness. The role requires deep expertise in cloud or enterprise infrastructure and fluency across Kubernetes, networking, storage, security, and AI infrastructure domains.

Partners with account executives and channel partners to design Cisco solutions, develop joint go-to-market strategies, enable partner sales engineers through training and workshops, support strategic deals, position Cisco’s portfolio, and advocate for partner needs. The role requires broad networking expertise, executive influence, technical pre-sales experience, professional networking certification, Bay Area residency or relocation, and travel up to 25%.

Leads and scales a customer-embedded Forward Deployed Solutions Engineering organization focused on AI, cloud architectures, enterprise data platforms, and mission-critical systems. Builds and mentors technical teams, partners with C-level customers and Cisco/Splunk leadership, translates deployment insights into product innovation, and delivers prototypes and technical solutions that accelerate adoption, retention, and expansion.

Leads the design and development of next-generation hyperscaler switch hardware using Silicon One or merchant ASICs. Responsibilities include system and board specifications, schematic capture, FPGA design, ASIC and system bring-up, lab debugging, troubleshooting, validation, and cross-functional issue resolution. The role collaborates with ASIC, DFT, signal integrity, software, diagnostics, manufacturing, and component supplier teams, serving as a technical liaison throughout hardware development and production.

Leads strategy, roadmap, lifecycle management, and global delivery for Cisco Wireless solutions focused on core RF technologies. Translates customer needs into product requirements, partners with engineering, sales, marketing, and customer success, manages cross-functional milestones, analyzes market and competitive data, engages customers and partners, and drives product performance improvements.

Develops strategy and operational plans for Cisco’s Hyperscale and AI Solutions Engineering organization. Partners with engineering and sales leadership to align growth objectives, define KPIs, monitor performance, analyze data, coordinate cross-functional execution, and drive corrective actions. The role also supports mentorship, professional development, team recognition, culture building, and executive communication across global sales, marketing, and engineering organizations.

Lead Cisco’s agentic AI evaluation strategy from architecture through production. Design layered evaluation systems using automated checks, LLM judges, human calibration, simulation, synthetic data, and adversarial testing. Monitor live traffic for regressions and drift, convert production traces into test cases, and validate fixes through shadow and A/B testing. Establish measurement standards across teams, manage datasets and experiment tracking, mentor engineers, and represent AI evaluation practices to senior leadership.