Engineering Product Manager AI Models @ Cisco
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About Cisco
Cisco is revolutionizing data connectivity and protection in the AI era with a 40-year legacy of innovation. Our team powers future technologies through secure, transparent, and insightful digital solutions.
Meet the Team
The Cisco AI Software & Platform Group incubates and delivers Generative AI based solutions to enhance Cisco's products, and introduces new offerings to scale Generative AI implementation responsibly.
Your Impact as Engineering Product Manager AI Models
As an Engineering Product Manager specializing in Generative AI and LLMs, you will shape the future of Cisco's AI-powered products. You will:
- Define and implement strategy and roadmap for AI features.
- Collaborate with AI/ML researchers, data scientists, and engineers.
- Identify and validate high-impact AI/ML application opportunities.
- Partner with cross-functional teams for successful product delivery.
- Track key product metrics and promote responsible AI practices.
Minimum & Preferred Qualifications
Minimum Qualifications: 10+ years in product management, with 5+ years in AI/ML. Experience with LLMs, Generative AI, SQL, Python, and large-scale data pipelines. Bachelor's degree in Computer Science, Engineering, or related field.
Preferred Qualifications: Advanced degree in a related field, hands-on AI/ML model lifecycle experience, expertise in AI platform architectures, and leadership in building high-performing teams.
Why Cisco
Cisco empowers global innovation and impactful technology, fostering unlimited opportunities for growth and collaboration. Join us to help power the future.
Key skills/competency
Generative AI, LLM, product strategy, AI/ML, roadmap, collaboration, data literacy, technical leadership, deep learning, responsible AI
How to Get Hired at Cisco
🎯 Tips for Getting Hired
- Research Cisco's culture: Understand its mission and tech innovations on official sites.
- Customize your resume: Emphasize AI/ML and product management experience.
- Showcase technical skills: Highlight expertise in LLMs, SQL, and Python.
- Prepare portfolio: Detail past successes in driving product strategy and launches.