Cisco

2 weeks ago

Engineering Product Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 39 minutes agoStatus: Live

Job Summary

Define and execute product strategy and roadmap for AI Canvas Growth, improving quality and customer outcomes using usage telemetry, product analytics (Amplitude), and evaluation frameworks. Partner with research, data science, engineering, UX, sales, and marketing to turn technical capabilities into measurable adoption and growth. Own the product lifecycle from concept to launch, track key metrics (growth, retention, engagement, quality), and run experiments while encouraging responsible AI and data privacy.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Define and implement strategy, roadmap, and adoption priorities using usage data, evaluation signals, and telemetry.
•Collaborate with research, data science, and engineering to translate technical capabilities into product improvements from concept to launch.
•Identify and validate high-impact opportunities using user behavior analysis, product analytics, evaluation results, and customer feedback to set requirements and roadmap decisions.
•Partner cross-functionally (engineering, UX, sales, marketing) to ensure delivery, market adoption, and continuous iteration of AI Canvas.
•Define, track, and report key product metrics (growth, adoption, retention, engagement, quality) using Amplitude, evaluation frameworks, and telemetry pipelines; run experiments and optimize while supporting responsible AI practices.

Pay and Benefits

Salary: USD 168,800 - 241,200 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid ParentalLong-term DisabilityBasic LifePaid HolidaysPaid LeaveSick TimeAnnual Bonus

Key Requirements

•8+ years in product management with at least 5 years in AI-driven or data-intensive software products, plus a Bachelor’s degree (or equivalent experience).
•Experience with Generative AI and Large Language Model-enabled products, ideally in networking or enterprise technology.
•Strong proficiency in SQL and Python for data analysis, including hands-on use of Amplitude (or similar) and evaluation frameworks for quality measurement.
•Experience at a premier management consulting firm (McKinsey, BCG, Bain) defining, launching, and scaling successful software products using data.
•Experience using modern development and AI-assisted tools (Cursor, Vercel) to accelerate product velocity.

Experience:8+ yearsGenerative AILarge Language ModelsEnterprise technologyNetworkingManagement consultingSaaS

Education:Bachelor's

Skills:Data-driven decision-makingOwnershipCollaborationProblem-solvingCommunication

Tech Stack:SQLPythonAmplitudeCursorVercelGenerative AILarge Language Models

Company Brief

Cisco

Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Cisco

2 weeks ago

Engineering Product Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 39 minutes agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Define and implement strategy, roadmap, and adoption priorities using usage data, evaluation signals, and telemetry.
•Collaborate with research, data science, and engineering to translate technical capabilities into product improvements from concept to launch.
•Identify and validate high-impact opportunities using user behavior analysis, product analytics, evaluation results, and customer feedback to set requirements and roadmap decisions.
•Partner cross-functionally (engineering, UX, sales, marketing) to ensure delivery, market adoption, and continuous iteration of AI Canvas.
•Define, track, and report key product metrics (growth, adoption, retention, engagement, quality) using Amplitude, evaluation frameworks, and telemetry pipelines; run experiments and optimize while supporting responsible AI practices.

Pay and Benefits

Salary: USD 168,800 - 241,200 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid ParentalLong-term DisabilityBasic LifePaid HolidaysPaid LeaveSick TimeAnnual Bonus

Key Requirements

•8+ years in product management with at least 5 years in AI-driven or data-intensive software products, plus a Bachelor’s degree (or equivalent experience).
•Experience with Generative AI and Large Language Model-enabled products, ideally in networking or enterprise technology.
•Strong proficiency in SQL and Python for data analysis, including hands-on use of Amplitude (or similar) and evaluation frameworks for quality measurement.
•Experience at a premier management consulting firm (McKinsey, BCG, Bain) defining, launching, and scaling successful software products using data.
•Experience using modern development and AI-assisted tools (Cursor, Vercel) to accelerate product velocity.

Experience:8+ yearsGenerative AILarge Language ModelsEnterprise technologyNetworkingManagement consultingSaaS

Education:Bachelor's

Skills:Data-driven decision-makingOwnershipCollaborationProblem-solvingCommunication

Tech Stack:SQLPythonAmplitudeCursorVercelGenerative AILarge Language Models

Company Brief

Cisco

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor