Engineering Product Manager
US$171,500 – US$245,000 / yr base salary
Posted 10 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$171,500 – US$245,000 / yr |
|---|
CertificationsMaster of Business Administration
Field of studyEngineering, Machine learning, Computer Science, Artificial Intelligence (or related)
Study levelBachelor's or higher
The application window is expected to close on: 08/10/2026
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
This is a Hybrid role (2 days per week) out of Milpitas, CA
Meet the Team
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.
Your Impact
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).
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Define and implement the strategy and roadmap adoption, using usage data, evaluation signals, and telemetry to drive priorities for the entire team.
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Collaborate deeply with research, data science, and engineering teams to translate technical capabilities into product improvements that drive growth and adoption, leading the product lifecycle from concept to launch based on measured quality and user impact.
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Identify and validate high-impact opportunities through data-driven analysis of user behavior, product analytics, evaluation results, and customer feedback, translating quantitative insights into prioritized product requirements and roadmap decisions.
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Partner with cross-functional teams including engineering, user experience, sales, and marketing to ensure successful delivery, market adoption, and continuous iteration of AI Canvas, employing modern development tools (Cursor, Vercel) to accelerate execution velocity and shorten feedback loops.
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Define, track, and report on key product metrics including growth, adoption, retention, engagement, and quality. Use product analytics platforms such as Amplitude, evaluation frameworks, and telemetry pipelines to inform data-driven decisions, run thorough experiments, and optimize performance while encouraging responsible AI practices, ethical considerations, and data privacy.
Minimum Qualifications
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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.