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      Colloqui di CiscoColloqui per Engineering Product Manager presso CiscoColloquio di Cisco


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      Colloquio per Engineering Product Manager

      5 mar 2026
      Dipendente anonimo
      Bengaluru
      Offerta accettata
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Cisco (Bengaluru) nel mese di feb 2026

      Colloquio

      Cisco – AI/ML Product Manager Interview Experience Overview Role: AI/ML Product Manager Result: Offer Received Total Time: ~4 Weeks (from initial HR discussion to offer) Total Rounds: 6 (5 Interview Rounds + 1 HR Round) Level Offered: Grade 10 ESOPs: Yes Key Areas Evaluated • AI/ML proficiency • RAG (Retrieval-Augmented Generation) • Agentic AI systems • Machine Learning algorithms • Product metrics (Business + Model metrics) • Product management fundamentals • Stakeholder management • Prioritization and GTM strategy • Deep understanding of the product you’ve built including architecture, metrics, and business impact Interview Rounds Round 1 – Director of Product Management (60 minutes) • Explain the product you worked on • How do you measure product success? • Describe a product feature you built from 0 → 1 • Follow-up questions on product decisions, tradeoffs, and impact Tip: Be prepared to go deep into problem definition, prioritization, metrics, and customer impact. Round 2 – Engineering Manager (60 minutes) • How do you work with engineers? • Explain your team structure • Walk through the product again with focus on technical architecture, business KPIs, and technical metrics Tip: Demonstrate how you bridge product, engineering, and data science. Round 3 – Sales Leader (60 minutes) • Explain your product • Which ML models were used in the product? • How do you leverage AI as a Product Manager? • Do you have experience working with sales teams? • How do you support sales as a PM? • What sales enablement assets do you produce? • GTM strategy for your product (Target market, Users, Customers) Tip: Prepare examples of battle cards, demos, ROI narratives, and positioning strategies. Round 4 – Senior Director of Product Management (45 minutes) • Explain your product • How do you measure product quality? • How do you collaborate with data science teams? Tip: Be prepared to discuss model evaluation, data quality, offline vs online metrics, and feedback loops. Round 5 – Senior Vice President of Product (30 minutes) • Explain your product • What value do you bring to Cisco? • Why do you want to join Cisco? Tip: Focus on strategic thinking, leadership, and alignment with Cisco’s vision. Overall Tips for Future Candidates • Be ready to deep dive into one product you’ve built • Prepare both business metrics and model metrics • Understand AI architecture clearly (RAG, ML models, pipelines) • Expect questions on cross-functional collaboration • Be comfortable discussing GTM and sales enablement • Senior leadership rounds focus heavily on impact and strategic thinking