Technical Product Manager - South Bay
- Salary
- $185K–$250K
- Moves you to
- United States
- Support
- Visa sponsorship
- Posted
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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
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.
- 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.
