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

Enterprise quota-carrying Account Executive responsible for driving adoption of Isovalent Enterprise across strategic accounts. Build territory strategy, manage complex technical sales cycles involving Kubernetes, cloud infrastructure, networking, observability and security, develop executive and technical stakeholder relationships, partner with cross-functional teams, and consistently meet or exceed revenue targets.

Provides high-level administrative support to a VP and three Directors, including complex calendar management, executive communications, meeting and event coordination, international and domestic travel planning, expense management, briefing preparation, special projects, and confidential matters. The role requires independent judgment, strong communication, attention to detail, and the ability to support executive priorities in a fast-paced technology environment.

Participate in a 12-week internship developing and maintaining scalable APIs, backend services, distributed architectures, and applications. Write clean code, troubleshoot software, and collaborate with engineering teams. Opportunities may include frontend development, RESTful services, microservices, cloud platforms, deployment automation, networking, and DevOps practices.

A 12-week internship focused on building data pipelines, machine learning workflows, and distributed systems. The intern will use Python, ML frameworks, Spark, Docker, and Kubernetes to develop, train, deploy, and scale models and intelligent data solutions. Responsibilities include supporting reliable, performant AI products and gaining experience with cloud platforms, scalability, fault tolerance, and production ML deployment.

Define product strategy, requirements, and roadmaps for AI-powered features. Partner with engineering and design teams to translate customer insights into actionable, data-backed product decisions and roadmaps. The internship includes collaboration with cross-functional teams, targeted learning, networking, and exposure to product development within Cisco’s technology organization.

Participate in a 12-week internship developing low-level software in C and embedded Linux for networking infrastructure. Apply operating system and networking fundamentals, automate workflows using Python or Bash, and support DevSecOps and security-focused development. Interns collaborate with engineering teams, build and maintain embedded software, and may gain exposure to FPGA development, signal integrity, power integrity, and PCB design.

Leads strategy, roadmap, and execution for AI Canvas Growth, using telemetry, product analytics, evaluation frameworks, and customer feedback to improve quality, adoption, retention, and engagement. Partners with research, data science, engineering, UX, sales, and marketing teams to translate AI capabilities into enterprise product improvements, define requirements, run experiments, and drive measurable customer outcomes. The role requires strong generative AI product experience, data analysis skills, and technical fluency with SQL, Python, and modern development tools.

Lead product strategy for early-stage incubation of emerging technologies (quantum networking, cryptography, AI). Conduct market and VC analysis, define product-market fit, collaborate with research and engineering, influence senior leadership, and drive incubation from concept to enterprise-ready initiatives.

Lead research on world models and learning-based methods for autonomous networks. Develop predictive network models, model-based reinforcement learning systems, simulation environments, representation learning, planning, and safety evaluation methods. Collaborate with networking engineers to validate research using real-world data and systems, publish at leading AI/ML conferences, and contribute to open-source projects.

Lead and architect multi-year frontier AI research programs in foundation models, agentic AI, multimodal learning, reasoning, and scalable training/inference. Translate research into production systems, design evaluation benchmarks, mentor researchers, publish at top conferences, and drive technical strategy across teams.