Cisco is a worldwide technology leader powering an inclusive future for all. Learn more about our products, services, solutions, and innovations. Backed by Sequoia and Menlo.
About the role
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree in Computer Science, Engineering, Business, Project Management, or related field with 4+ years of technical project management experience, OR Master’s degree with 2+ years of relevant experience
- Prior experience managing technical projects within software engineering, AI/ML, cloud infrastructure, or advanced research organizations
- Applied background in end-to-end project planning, dependency management, milestone tracking, and cross-functional coordination across matrixed teams
- Hands-on experience utilizing AI-assisted developer and productivity tools (e.g., GitHub Copilot, ChatGPT, Claude Code, or Codex) to automate project workflows
More about this role
The application window is expected to close on: 10/13/2026
Cisco Foundation AI is a frontier AI research team advancing foundational model development, evaluation, and engineering innovation. Based in our San Francisco hub, our team operates in a collaborative hybrid model (onsite Monday, Wednesday, and Friday) partnering closely with researchers, engineers, infrastructure, product, and legal teams to turn cutting-edge AI research into enterprise-grade capabilities.
- Drive End-to-End Execution: Lead project scheduling, dependency mapping, milestone delivery, and risk mitigation across complex AI research and engineering tracks.
- Cross-Functional Alignment: Partner with AI researchers, Engineering, Infrastructure, and Product teams to define project scope, technical requirements, and release milestones.
- Coordinate Model & Research Releases: Oversee launch readiness for AI models, evaluation benchmarks, research papers, and open-source contributions, managing compliance reviews and documentation.
- Operational Reporting & Dashboards: Build dashboards and status reports providing executive transparency into project health, resource allocation, and timeline dependencies.
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