Technical Product Manager - South Bay

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 a boutique talent advisory firm. We work with early-to-growth stage tech companies, helping them build teams without the usual recruiting noise, hyperbole, or pressure.
Our client is a well-funded, early-stage AI company building autonomous software systems for complex engineering workflows. The platform automates highly technical, repetitive tasks like system optimization, code generation, and pipeline management.This company is built from the ground up to pioneer native agentic systems. Backed by top-tier venture capital, they are scaling rapidly to lead this new category of enterprise automation.

• Location: On-site 3 days/week in South Bay
• Compensation: $185,000 - $250,000
• Visa transfers are considered; you must be located in the US

The Role

As a vital early product hire, you will collaborate directly with the founders and the engineering team to shape the platform’s vision, scope upcoming capabilities, and drive execution. In this role, ambiguity is a given, and you will thrive by operating in a fast-paced environment where the roadmap is yours to define. The ideal candidate possesses deep technical foundational knowledge, easily earning the trust of highly technical users.

What You’ll Do

• Own the roadmap for a highly technical enterprise product tailored to software, data, and infrastructure professionals.
• Embed deeply with customers to understand nuanced technical feedback and serve as an empathetic peer to engineering teams.
• Partner with core engineering to design, scope, and ship autonomous workflows built on top of complex data architectures.
• Synthesize platform features into a cohesive product experience, ensuring each release delivers immediate, practical utility rather than standalone tools.
• Analyze agent telemetry and system interactions to determine how automated systems utilize features, using these insights to prioritize future builds.
• Translate highly complex architectures into clear, actionable concepts for engineers, customers, and internal leadership.

What We’re Looking For

• 2+ years of Product Management experience, ideally shipping highly technical platforms, infrastructure, or developer tools.
• Deep engineering roots: Hands-on experience building complex, end-to-end data systems and infrastructure pipelines (not just consuming basic APIs).
• Fluency in modern data architecture: A strong grasp of cloud data warehouses, orchestration frameworks, transformational engines, and modern storage/table formats.
• Solid technical fundamentals: Exceptional command of system logic, query optimizations, batch vs. streaming paradigms, and underlying database mechanics.
• AI-first workflows: An innate habit of leveraging AI tools to accelerate your own output, combined with an active curiosity about the latest shifts in automated capabilities.
• High comfort with ambiguity: Proven success in early-stage environments where roles evolve and processes are built from scratch.
• A degree in Computer Science, Mathematics, or a related technical field.

We'll be really excited if you have:

• Prior experience at a data infrastructure, observability, or lakehouse orchestration company.
• Product leadership on native generative AI applications or LLM-powered enterprise platforms.
• Working knowledge of LLM frameworks, retrieval-augmented generation (RAG), and AI benchmarking/evaluation.