Engineering Product Manager – AI Models

Cisco
San Francisco, California, US$191k – $281kPosted 3 February 2026

Job Description

The application window is expected to close on: 02/03/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is expected to close on: February 28th, 2026. NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team The Cisco AI Software & Platform Group incubates and delivers Generative AI based solutions to improve Cisco's existing Products. Our Group is also introducing new offerings that help customers roll out Generative AI at scale while doing so responsibly. Your Impact As an Engineering Product Manager specializing in Generative AI and Large Language Models (LLMs), you will be instrumental in crafting the future of Cisco's AI-powered products and platforms! You will define the product strategy, roadmap, and execution for innovative solutions, not only using groundbreaking LLM technologies but also augmenting existing AI models like the Cisco Deep Network Model. Define and implement the strategy and roadmap for Generative AI and LLM-powered features, leading the conceptualization and development of novel AI model variations to improve our core LLM suite. Collaborate deeply with AI/ML researchers, data scientists, and engineering teams to translate sophisticated model capabilities into impactful product features, driving the entire product lifecycle from concept to launch, including defining data strategies for model training and evaluation. Identify and validate high-impact opportunities for advanced AI/ML applications with internal and external partners, translating insights into comprehensive product requirements. Partner with cross-functional teams including engineering, UX, sales, and marketing to ensure successful product delivery, market adoption, and continuous iteration of AI solutions. Define, track, and report on key product metrics to inform data-driven decisions and optimize performance, while encouraging responsible AI practices, ethical considerations, and data privacy throughout the product development process. Minimum Qualifications 10+years of experience in product management, with at least 5 years specifically prioritizing AI/ML products. Experience with LLMs, Generative AI, and/or other deep learning models, ideally within a networking or enterprise technology context. Technical acuity in AI/ML model architectures, training, evaluation, and strong data literacy, including SQL, Python for data analysis, and understanding of large-scale data pipelines. Proven track record of defining, launching, and scaling successful software products using advanced AI/ML capabilities, demonstrating significant business impact in an enterprise environment. Bachelor's degree in computer science, Engineering, or related technical field. Preferred Qualifications Master's degree or Ph.D. in Computer Science, AI/ML, MBA or a related business or quantitative field. Proven experience in building and deploying AI/ML models, demonstrating hands-on expertise in the end-to-end model development lifecycle, including data preparation, model training, tuning, and deployment to production environments Strategic understanding of AI platform architectures and MLOps principles, with experience driving the integration and productization of sophisticated AI capabilities into existing enterprise software, especially within the networking domain. Outstanding ability to articulate technical and product strategies to diverse audiences, including executive leadership, technical teams, and external customers, driving alignment. Demonstrated leadership as well as experience building and developing high-performing teams. #CiscoAIJobs Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together acro ... (truncated, view full listing at source)
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