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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
More about this role
The application window is expected to close on: 09/29/2026
This is a Hybrid role (2 days per week) out of Milpitas, CA
The Cisco AI Software & Platform Group incubates and delivers Generative AI based solutions to improve Cisco's existing Products. Our Group is also introducing new offerings that help customers roll out Generative AI at scale while doing so responsibly!
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. You will bring the rigor of management consulting and the velocity of a high-growth startup to drive measurable improvements in quality and adoption (not hands-on model training).
Define and implement the strategy and roadmap adoption, using usage data, evaluation signals, and telemetry to drive priorities for the entire team.
Collaborate deeply with research, data science, and engineering teams to translate technical capabilities into product improvements...
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