Product Leadership, Enterprise Core Platform

Scale AI•San Francisco, CA

2d•£134,000 - £200,000

About The Position

Scale is seeking a product leader to own the strategy and roadmap for its core platform, SGP, and lead the product management team responsible for it. SGP provides capabilities for teams to build, deploy, evaluate, and operate AI applications in customer environments. The role works with customers, platform engineering, and forward deployed teams to develop needed capabilities, productize field-developed work where it has broader value, and improve how teams build, deploy, and operate AI applications. This is a hands-on leadership position that connects work across teams into a coherent product, makes scope and investment decisions, and stays close to product details and customer experience. The role establishes platform direction, defines requirements and success measures, aligns teams on shared capabilities and rollouts, and hires and develops product managers. The role is full-time. For San Francisco and New York locations, the stated base salary range is £134,000–£200,000 GBP. Eligible roles may include equity and benefits such as comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and potentially a commuter stipend.

Requirements

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, including the ability to explain problem selection, tradeoffs, sequencing, and user outcomes.
Technical depth to work credibly with engineers on APIs, runtime behavior, identity and authorization, deployment, observability, and data isolation.
Ability to 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 across organizational boundaries.
Clear, precise writing and communication skills, including translating ambiguous problems into actionable requirements and explaining 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, prioritizing developer experience, customer-needed capabilities, and productizing field-developed work with broader value.
Sequence investments according to customer value, commitments, and dependencies.
Work with users and engineers to define how the product should work, write clear requirements, and create prototypes and user journeys.
Measure success through customer outcomes, capability adoption, delivery time, and production performance, and follow through on gaps after launch.
Align platform engineering, forward deployed PMs, and business leaders on shared capabilities, rollout priorities, and differences across environments.
Clarify what is available, where it works, and what remains to be delivered.
Establish clear ownership across related product areas, hire and coach PMs, and improve product thinking and written requirements.
Remain directly involved in the most consequential product decisions.