Global AI Infra TPM — Scale GPU Resources & Reliability

Togetherai; San Francisco (CA); Hybrid; USD 225,000 - 265,000; Full time

Benefits offered by this job

Competitive compensation

Startup equity

Health insurance

Other competitive benefits

Job summary

Togetherai is seeking a Senior Infrastructure Technical Program Manager to build, optimize, and scale global GPU resources. The role involves collaborating with top engineers to enhance AI advancements and requires at least 5 years of experience in AI product development.

Responsibilities include designing products for AI researchers, managing project roadmaps, and engaging with stakeholders for product improvements. With competitive compensation and a hybrid work model based in the Bay Area, it's an exciting opportunity at the forefront of AI technology.

Qualifications

• 5+ years of experience building and scaling AI/ML-powered products and infrastructure.
• Proven experience with large-scale technology deployments.
• Exceptional analytical and problem-solving skills.

Responsibilities

• Design and build products for AI researchers and enterprise customers.
• Own a comprehensive product roadmap and drive end-to-end product development.
• Engage with stakeholders to enhance customer satisfaction.

Skills

ML Product or Infrastructure Experience

Cloud computing platforms

Decentralized cloud infrastructure

Distributed systems

Cloud-based technologies (AWS, Google Cloud, Azure)

Education

Bachelor's or Master's degree in Machine Learning, Computer Science, Engineering

Tools

ClaudeCode

Job description

Togetherai is seeking a Senior Infrastructure Technical Program Manager to build, optimize, and scale global GPU resources. The role involves collaborating with top engineers to enhance AI advancements and requires at least 5 years of experience in AI product development.

Responsibilities include designing products for AI researchers, managing project roadmaps, and engaging with stakeholders for product improvements. With competitive compensation and a hybrid work model based in the Bay Area, it's an exciting opportunity at the forefront of AI technology.