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Cisco

Engineering Product Manager

Cisco

. Define and implement the AI Canvas Growth product strategy and roadmap .

Posted 9/21/2026full-timeMilpitas • California • United StatesSeniorLead💰 $171,600 - $245,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in defining and implementing product strategies for AI-driven solutions, leveraging data analytics and user feedback to drive product improvements and growth. Proficient in collaborating with cross-functional teams to optimize product performance and ensure alignment with business objectives.

Highest-signal resume keywords
Product ManagementAI-Driven Software ProductsData Analysis with PythonProduct Analytics ToolsGenerative Artificial Intelligence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Product StrategyData AnalysisUser Behavior AnalyticsQuality Measurement FrameworksAI Platform ArchitecturesMachine Learning OperationsData PipelinesSQLPythonB2B SaaS Growth
Soft Skills
CollaborationCommunicationStrategic ThinkingLeadershipProblem Solving
Tools & Technologies
AmplitudeCursorVercelTelemetry PipelinesEvaluation Frameworks
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in AI or Related FieldMBA in Quantitative Field
Industry Keywords
AI CanvasEnterprise SoftwareData PrivacyUser ExperienceCustomer Feedback

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Define and implement the AI Canvas Growth product strategy and roadmap
  • Use usage data, evaluation signals, and telemetry to set priorities
  • 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 and grow AI Canvas
  • Use Cursor and Vercel to accelerate execution velocity and shorten feedback loops
  • Define, track, and report on growth, adoption, retention, engagement, and quality metrics
  • Run experiments and optimize performance using Amplitude, evaluation frameworks, and telemetry pipelines
  • 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 with Structured Query Language and Python for data analysis
  • Experience with product analytics tools such as Amplitude or similar
  • Experience with evaluation frameworks for quality measurement
  • Experience at a premier management consulting firm such as McKinsey, BCG, or Bain launching and scaling successful software products
  • Demonstrated significant business impact in an enterprise environment
  • Experience using modern development and AI-assisted tools such as Cursor and Vercel
  • Preferred: 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
  • Deep understanding of data pipelines and analytics infrastructure
  • Strategic understanding of AI platform architectures and machine learning operations principles
  • Experience integrating AI capabilities into existing enterprise software, especially in networking
  • Ability to articulate technical and product strategies to executive leadership, 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 a Cisco matching contribution
  • Paid parental leave
  • Short- and long-term disability coverage
  • Basic life insurance
  • Cisco restricted stock unit grants may be available, subject to continued employment and vesting periods
  • 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, subject to Cisco policies
  • Performance-based incentive pay for sales-plan employees
  • Opportunities for growth and professional development