AI-First Technical Product Manager — South Bay On-Site

Major Scale; Mountain View (CA); On-site; USD 185,000 - 250,000; Full time

Job summary

Major Scale is seeking an early product hire to shape an AI-driven enterprise platform. You’ll work directly with founders and the engineering team to define the vision, scope upcoming capabilities, and drive execution in a fast-paced, ambiguous environment.

The ideal candidate has deep technical foundations, collaborates with data, software, and infrastructure teams, and will translate complex architectures for engineers, customers, and leadership as the product evolves.

Qualifications

• 2+ years of Product Management experience shipping technical platforms.
• Deep engineering roots with end-to-end data systems experience.
• Fluency in modern data architecture and data warehouses.
• Strong fundamentals in system logic, queries, and storage formats.
• Experience leveraging AI tools to accelerate output and adapt to new shifts.
• Able to thrive in early-stage environments with evolving roles.
• Degree in Computer Science, Mathematics, or related field.

Responsibilities

• Own the roadmap for a highly technical enterprise product.
• Embed with customers to gather nuanced technical feedback.
• Partner with engineering to design and ship autonomous workflows.
• Synthesize features into a cohesive product experience for users.
• Analyze telemetry to prioritize future builds.
• Translate complex architectures into actionable concepts for all stakeholders.

Skills

Product Management

Technical depth

Data architectures

AI workflows

Ambiguity handling

Education

Bachelor's in Computer Science or related technical field

Tools

LLM frameworks

RAG

Cloud data warehouses

Job description

Major Scale is seeking an early product hire to shape an AI-driven enterprise platform. You’ll work directly with founders and the engineering team to define the vision, scope upcoming capabilities, and drive execution in a fast-paced, ambiguous environment.

The ideal candidate has deep technical foundations, collaborates with data, software, and infrastructure teams, and will translate complex architectures for engineers, customers, and leadership as the product evolves.