Senior Product Manager – AI Infrastructure Solution

Salt Digital Recruitment; Houston (TX); On-site; USD 130,000 - 160,000; Full time

Job summary

Salt Digital Recruitment is seeking a Senior Product Manager – AI Infrastructure Solutions in Houston, TX. This hybrid position will define the strategy and roadmap for next-gen AI solutions, integrating hardware and software technologies.

Ideal candidates have over 8 years of product management experience, particularly in AI/ML platforms. You will work cross-functionally to deliver scalable AI solutions while maintaining compliance with privacy and security regulations.

Qualifications

• 8+ years of product management experience, including at least 5 years with AI/ML.
• Experience launching complex hardware, software, and service solutions.
• Strong understanding of the AI lifecycle including training and inference workflows.

Responsibilities

• Define and execute the vision and roadmap for AI infrastructure solutions.
• Conduct market analysis and customer discovery to validate solutions.
• Lead end-to-end solution lifecycle from ideation to launch.

Skills

Product management

AI/ML platforms

Stakeholder communication

Market validation

Education

Bachelor’s degree in Computer Science, Engineering, Business or related discipline

Advanced degree preferred

Tools

SageMaker

Azure ML

Vertex AI

Job description

Senior Product Manager – AI Infrastructure Solutions (Hybrid – Houston, TX)

A leading global technology organization at the forefront of AI infrastructure and large-scale compute platforms is seeking a Senior Product Manager – AI Infrastructure 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.