What are the responsibilities and job description for the Product Manager, AI Factory Solutions position at Salt?
A leading global technology organization at the forefront of AI infrastructure and large-scale compute platforms is seeking a Product Manager, AI Factory Solutions to help define and deliver next-generation AI factory environments supporting enterprise and sovereign AI deployments.
This role focuses on building integrated AI solutions that combine hardware, software, and ecosystem technologies into scalable, production-ready platforms for customers operating complex AI workloads. This is a hybrid position requiring approximately 2-3 days per week onsite.
The Role
You will define and drive the strategy, roadmap, and execution of large-scale AI infrastructure solutions that support model training, tuning, and inference across enterprise environments.
Working cross-functionally with engineering, architecture, go-to-market teams, and external partners, you will shape full-stack AI solution offerings from concept through launch and scale.
Key Responsibilities
- Define and execute the vision, roadmap, and feature strategy for enterprise-scale AI infrastructure solutions.
- Identify and integrate software components spanning internally developed, commercial, and open-source technologies.
- Conduct market analysis, competitive research, and customer discovery to validate solution opportunities.
- Translate customer requirements into technical specifications in partnership with engineering and solution architecture teams.
- Drive build/partner/buy decisions across the software stack.
- Lead end-to-end solution lifecycle from ideation through MVP development, launch, and iteration.
- Establish success metrics such as adoption, customer impact, and solution performance.
- Partner with legal, finance, pricing, and supply chain teams to support commercialization models and software resale frameworks.
- Collaborate with sales and marketing to develop go-to-market strategy, enablement materials, and positioning.
- Ensure solutions align with global data privacy, security, and responsible AI requirements.
- Monitor emerging trends across generative AI, agentic systems, and applied enterprise AI platforms.
Qualifications & Experience
- Bachelor’s degree in Computer Science, Engineering, Business, or a related discipline (advanced degree preferred).
- 8 years of product management experience, including at least 5 years delivering AI/ML platforms or infrastructure solutions.
- Demonstrated success launching complex solutions spanning hardware, software, and services.
- Strong understanding of the AI lifecycle, including model training, fine-tuning, and inference workflows.
- Experience working with large language models, computer vision systems, or enterprise AI platforms.
- Familiarity with cloud-based ML environments such as SageMaker, Azure ML, Vertex AI, or similar ecosystems.
- Experience operating within agile product environments.
- Exposure to high-performance computing environments supporting AI workloads is an advantage.
- Strong analytical and market validation skills.
- Excellent stakeholder communication across technical and executive audiences.
- Comfortable operating in fast-moving, innovation-driven environments.