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Salary: USD 273,600 - 342,000 / annual
Scale is hiring a Director of Product Management to own the strategy and roadmap for SGP (Scale's core AI platform), which enables organizations to build, deploy, evaluate, and operate AI applications reliably and securely. This is a hands-on leadership role managing a PM team while staying deeply involved in product decisions.
You will own the platform strategy and roadmap, prioritizing across developer experience, customer capabilities, and productizing field-developed work with broader value. You'll define how the product works by collaborating with users and engineers to write clear requirements, prototype solutions, and measure success through customer outcomes, adoption rates, delivery time, and production performance.
Key responsibilities include aligning teams across the business—working with platform engineering, forward-deployed PMs, and business leaders to agree on shared capabilities and rollout priorities. You'll build and lead a strong PM team by establishing clear ownership across product areas, hiring and coaching PMs, and raising the quality of product thinking and written requirements.
You should have 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 decisions is essential. Strong product judgment is critical—you can explain which problems you chose to solve, what you decided against, how you sequenced work, and what changed for users.
Technical depth is required 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, reaching decisions, establishing ownership, and following through when progress depends on people outside your reporting line is important.
Nice-to-haves include experience with AI platforms (agent runtimes, workflow orchestration, evaluation, datasets, human review, production AI observability), building products for regulated industries or deploying into on-premises/air-gapped/classified environments, and turning customer-specific capabilities into reusable platform products.
