# Engineering Product Manager at Cisco

- Company: Cisco
- What the company does: 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.
- Company website: https://www.cisco.com/
- Type: Startups
- Level: Senior
- Location: 2 Locations
- Work setup: On-site
- Posted: 2026-09-21
- Apply by: 2026-11-05
- Apply: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Milpitas-California-US/Engineering-Product-Manager_2025551
- Page: https://www.1752.vc/careers/jobs/cisco-engineering-product-manager/

## About the role

As an Engineering Product Manager for AI Canvas Growth, you will be instrumental in improving AI Canvas quality and customer outcomes. Operating with startup energy and ownership, you will define product strategy, roadmap, and execution by grounding decisions in data from usage telemetry, product analytics platforms such as Amplitude, and evaluation frameworks.

## What they're looking for

- 8+ years of experience in product management, with at least 5 years in AI-driven or data-intensive software products. Bachelor's degree or equivalent experience in Computer Science, Engineering, or related technical field
- Experience with Generative Artificial Intelligence and Large Language Model-enabled products, ideally within a networking or enterprise technology context
- Previous experience in Structured Query Language and Python for data analysis and product analytics tools such as Amplitude (or similar) and evaluation frameworks for quality measurement
- Experience at a premier management consulting firm (McKinsey, BCG, Bain) launching, and scaling successful software products by using data to improve quality and drive adoption at scale, demonstrating significant business impact in an enterprise environment
- Experience using modern development and AI-assisted tools (Cursor, Vercel) to accelerate product velocity
- Master's degree, Doctor of Philosophy or equivalent experience, or Master of Business Administration in Computer Science, Artificial Intelligence, Machine Learning, or a related business or quantitative field