Director of Product Management, Enterprise Core Platform

Scale AI•San Francisco, CA

2h•$273,600 - $342,000•Remote

About The Position

Scale builds AI applications for organizations where reliability, security, and measurable results matter. Our core platform, SGP, gives teams the capabilities to build, deploy, evaluate, and operate those applications in customer environments. We're looking for a product leader to own the strategy and roadmap for SGP's core platform and lead the PM team responsible for it. You will work with customers, platform engineering, and forward deployed teams to build capabilities customers need, productize work developed in the field when it has broader value, and improve how teams build, deploy, and operate AI applications. This is a hands-on leadership role. You will connect work across teams into a coherent product, make difficult scope and investment decisions, and stay close enough to the details to know whether what we ship works for the people using it.

Requirements

A track record of owning platform, infrastructure, or developer products from problem definition through launch and sustained production use.
Experience managing and developing product managers, setting direction across multiple related product areas, and remaining hands-on with important product decisions.
Strong product judgment. You can explain which problems you chose to solve, what you decided against, how you sequenced the work, and what changed for users as a result.
Technical depth to work credibly with engineers on APIs, runtime behavior, identity and authorization, deployment, observability, and data isolation. You can reason through architectural tradeoffs and their consequences for users, security, and operations.
Experience driving adoption across teams with different needs and constraints. You can reach decisions, establish ownership, and follow through when progress depends on people outside your reporting line.
Clear, precise writing and communication. You can turn an ambiguous problem into requirements engineers can act on and explain priorities and tradeoffs to customers and executives.

Nice To Haves

Experience with AI platforms, including agent runtimes, workflow orchestration, evaluation, datasets, human review, or production AI observability.
Experience building products for regulated industries or deploying into on-premises, air-gapped, or classified environments.
Experience turning capabilities developed for individual customers into reusable platform products.

Responsibilities

Own the platform strategy and roadmap. Prioritize across developer experience, capabilities customers need, and productizing work built in the field where it has broader value. Sequence investments against customer value, commitments, and dependencies.
Define how the product should work. Work with users and engineers to write clear requirements and vibe code prototypes, user journeys, and measure success through customer outcomes, capability adoption, delivery time, and production performance, and follow through on gaps after launch.
Align teams across the business. Work with platform engineering, forward deployed PMs, and business leaders to agree on shared capabilities, rollout priorities, and necessary differences across environments. Make clear what is available, where it works, and what remains to be delivered.
Build and lead a strong PM team. Establish clear ownership across related product areas, hire and coach PMs, and raise the quality of product thinking and written requirements. Stay directly involved in the most consequential decisions.