AI Canvas Growth Product Manager

Cisco

San Francisco (CA)

Hybrid

USD 172,000 - 245,000

Full time

5 days ago
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Job summary

Cisco's AI Software & Platform Group is seeking an Engineering Product Manager for AI Canvas Growth in Milpitas, CA. The role combines strategy, roadmaps, and execution with a data-driven approach to improve quality and adoption, using telemetry and Amplitude to guide decisions without hands-on model training.

You will collaborate with research, data science, and engineering to translate capabilities into customer impact, drive growth, and ship product offerings with velocity in a hybrid

Qualifications

  • 8+ years in product management, with 5+ years in AI/data-intensive software.
  • Bachelor's degree or equivalent in CS/Engineering.
  • Experience with Generative AI and Large Language Model-enabled products.
  • Experience at premier management consulting firms launching and scaling enterprise software using data.
  • Experience with Cursor and Vercel to accelerate delivery.

Responsibilities

  • Define strategy, roadmap, and execution based on usage telemetry and Amplitude.
  • Collaborate with research, data science, and engineering to translate capabilities into product improvements for growth.
  • Identify high-impact opportunities through data-driven analysis and customer feedback.
  • Partner with cross-functional teams to ensure delivery, market adoption, and iteration.
  • Define and track key metrics; use Amplitude and telemetry to drive data-driven decisions.

Skills

AI Product Mgmt
Generative AI
SQL & Python
Amplitude analytics
Mgmt consulting
Cursor
Vercel

Education

Bachelor's degree in CS/Engineering

Tools

Cursor
Vercel
Amplitude

Job description

Cisco's AI Software & Platform Group is seeking an Engineering Product Manager for AI Canvas Growth in Milpitas, CA. The role combines strategy, roadmaps, and execution with a data-driven approach to improve quality and adoption, using telemetry and Amplitude to guide decisions without hands-on model training.

You will collaborate with research, data science, and engineering to translate capabilities into customer impact, drive growth, and ship product offerings with velocity in a hybrid

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