Senior Product Manager at Savanta leading the development of AI - driven client - facing products. Focused on innovation in consumer insights and transforming brand understanding with AI.
About the role
- Customer Solutions Manager or Outbound Product Manager engaged in GPU cloud infrastructure and enterprise customers. Driving product strategy through market insights and competitive analysis.
Responsibilities
- Work directly with enterprise customers, AI developers, and ecosystem partners to understand workload patterns, pain points, and technical requirements.
- Continuously track and analyze GPU cloud competitors (e.g., CoreWeave, Lambda, RunPod, AWS, Azure, GCP) across performance, cost, scalability, and customer experience.
- Maintain deep understanding of industry evaluation and certification frameworks (e.g., ClusterMax, NVIDIA Cloud validation) and apply that knowledge to shape our product and differentiation strategy.
- Synthesize customer and competitive insights into clear requirements, priorities, and recommendations for the Product and Engineering teams.
- Partner with GPU and AI ecosystem vendors (e.g., NVIDIA, AMD) to ensure alignment with performance, interoperability, and validation standards.
- Collaborate with FAEs and Solution Engineers during customer PoCs to gather structured feedback and ensure successful deployment outcomes.
- Act as a subject matter expert on AI/GPU cloud market dynamics and communicate insights through internal briefings, product planning sessions, and executive updates.
Requirements
- 5–10 years of experience in solutions engineering, technical product management, competitive analysis, or product strategy, ideally in GPU computing, cloud infrastructure, or AI/ML systems
- Strong understanding of GPU cloud evaluation frameworks, NVIDIA Cloud validation programs, or similar benchmarking processes used by analysts and hardware partners
- Proven ability to translate complex customer and market insights into actionable product direction
- Technical background in Kubernetes, GPU orchestration, AI/ML workloads, or data center infrastructure
- Excellent communication and presentation skills; able to interface effectively with both engineers and executives
- Bachelor’s or higher degree in Computer Science, Physics, Engineering, or related technical discipline.
Benefits
- Competitive salary and equity based on your experience and skillset
- This is a Hybrid role - 3 days in office, 2 days WFH
- Must locate in Palo Alto
- Applicants must be authorized to work in the United States without need for visa sponsorship.
Job title
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