Engineering Product Manager

Cisco

Engineering Product Manager driving AI Canvas quality, adoption, and growth at Cisco, which builds AI-era networking and security solutions. Using telemetry, analytics, and evaluation frameworks to guide product strategy and execution.

Posted 8/4/2026full-timeMilpitas • California • 🇺🇸 United StatesSeniorLead💰 $171,600 - $245,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management for AI-driven software, leveraging data analysis and user feedback to inform product strategy and execution. Proficient in utilizing analytics tools and frameworks to drive product quality and growth in enterprise environments.

Highest-signal resume keywords

Product ManagementAI-Driven Software ProductsData Analysis with SQL and PythonAmplitude Product AnalyticsGenerative Artificial Intelligence

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Applicant Tracking System Keywords

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Hard Skills

Product Lifecycle ManagementData AnalysisUser Behavior AnalyticsQuality Measurement FrameworksAI Platform ArchitecturesMachine Learning OperationsData PipelinesTechnical Strategy ArticulationEnterprise Software IntegrationB2B SaaS Growth Strategies

Soft Skills

CollaborationCommunicationLeadershipStrategic ThinkingEthical Considerations

Tools & Technologies

CursorVercelAmplitudeTelemetry PipelinesEvaluation Frameworks

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree or MBA Preferred

Industry Keywords

AI CanvasData-Intensive SoftwareEnterprise TechnologyNetworking SoftwareProduct-Led Growth

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Define and implement the AI Canvas adoption strategy and roadmap using usage data, evaluation signals, and telemetry
Collaborate with research, data science, and engineering teams to translate technical capabilities into product improvements
Lead the product lifecycle from concept to launch based on measured quality and user impact
Identify and validate high-impact opportunities through user behavior, product analytics, evaluation results, and customer feedback
Translate quantitative insights into prioritized product requirements and roadmap decisions
Partner with engineering, user experience, sales, and marketing teams to deliver, adopt, and continuously iterate AI Canvas
Use Cursor and Vercel to accelerate execution velocity and shorten feedback loops
Define, track, and report growth, adoption, retention, engagement, and quality metrics
Use Amplitude, evaluation frameworks, and telemetry pipelines to inform decisions, run experiments, and optimize performance
Encourage responsible AI practices, ethical considerations, and data privacy

Requirements

What you’ll need

8+ years of experience in product management
At least 5 years in AI-driven or data-intensive software products
Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related technical field
Experience with Generative Artificial Intelligence and Large Language Model-enabled products
Experience in networking or enterprise technology contexts
Experience with Structured Query Language and Python for data analysis
Experience with Amplitude or similar product analytics tools
Experience with evaluation frameworks for quality measurement
Experience at McKinsey, BCG, Bain, or a premier management consulting firm defining, launching, and scaling successful software products
Demonstrated significant business impact in an enterprise environment
Experience using Cursor, Vercel, and modern AI-assisted development tools
Preferred: Master's degree, Doctor of Philosophy or equivalent experience, or Master of Business Administration in a related field
Deep understanding of data pipelines and analytics infrastructure
Understanding of AI platform architectures and machine learning operations principles
Experience integrating AI capabilities into enterprise software, especially networking software
Ability to articulate technical and product strategies to executives, technical teams, and external customers
Experience using data, evaluation signals, and customer feedback to improve product quality and drive product-led growth in B2B or enterprise SaaS contexts

Benefits

Comp & perks

Medical, dental and vision insurance
401(k) plan with Cisco matching contribution
Paid parental leave
Short- and long-term disability coverage
Basic life insurance
Cisco restricted stock unit grants may be available
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday
Paid year-end holiday shutdown
4 paid days off for personal wellness
16 days of paid vacation per full calendar year for non-exempt employees
Flexible vacation time off program with no defined limit for eligible exempt employees
80 hours of sick time off provided on hire date and each January 1st thereafter
Up to 80 hours of unused sick time carried forward
Additional paid time away for critical or emergency family issues
Optional 10 paid volunteer days per full calendar year
Annual bonuses for non-sales roles may be available
Sales incentive compensation for employees on sales plans
Opportunities to grow and build
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