Latest Product Management jobs at Scale AI

Own the robotics product roadmap and data strategy for physical AI, building training datasets, simulated environments, collection pipelines, and evaluation frameworks. The role requires deep robotics or physical AI experience, fluency in modern robot learning, and the ability to lead cross-functional product development.

Leads strategy, roadmap, and execution for an enterprise AI core platform while managing a product management team. Requires platform or developer-product experience, strong technical fluency across APIs and infrastructure, and the ability to drive adoption across complex organizations.

Own product strategy and execution for GenAI marketplace, data, or contributor products, partnering closely with engineering, data science, operations, and leadership. The role requires 4–10 years of product management experience, strong analytical and technical fluency, and the ability to scale products in ambiguous environments.

Owns the ideation, development, and delivery of custom AI applications and LLM solutions for government customers outside the United States. The role leads cross-functional teams, collaborates directly with clients and end users, and requires product leadership plus recent AI-powered product experience.

Own the strategy, roadmap, and launch of a cybersecurity AI product portfolio spanning training data, agentic environments, and evaluations. The role requires substantial hands-on cybersecurity experience, product leadership, software engineering depth, and familiarity with AI model post-training and evaluation.

Owns the strategy, roadmap, and lifecycle of Scale’s coding data products, reinforcement-learning environments, and agentic evaluations. The role requires 5+ years of relevant experience, strong software-engineering depth, familiarity with coding-model training and evaluation, and the ability to lead cross-functional and customer-facing initiatives.

Owns the strategy, roadmap, governance, and growth of AI evaluation benchmarks and leaderboards. The role partners with researchers, engineering, operations, GTM teams, AI labs, and enterprise customers, requiring at least five years of relevant product or technical experience and strong AI evaluation fluency.

Staff Technical Product Manager owns product roadmaps and execution for Scale's Global Defense AI products, designing and shipping tooling for national security workflows. Requires 8+ years in engineering/ML or technical PM, hands-on building, and deep AI expertise.

Own the strategy and end-to-end delivery of enterprise AI solutions, partnering with customers and cross-functional teams to turn bespoke applications into repeatable products. Requires 4+ years building ML-powered products, strong generative AI knowledge, and technical fluency including Python.

Own the product roadmap for Scale's Agent & Reinforcement Learning Environment data vertical with focus on Computer Using Agent (CUA) data. Build partnerships with AI labs, design data pipelines and RL environments, and drive execution across teams. Requires 6+ years PM experience, software engineering background, and RL knowledge.

Forward Deployed Product Manager owning AI and data product outcomes for U.S. military planning and real-time alerting (LUX) in national security. Drives deployments to production in classified environments, translates operational needs into platform input, and builds trust with senior DoD stakeholders. Requires 6+ years PM experience, active TS clearance, and domain knowledge of military processes or streaming systems.

Own the Finance vertical for AI agent training environments and data products. Partner with frontier labs to build realistic financial workflow simulations and datasets that train and evaluate AI agents.

Owns the core platform foundation for Scale's agentic operating system. Defines, sequences, and graduates platform capabilities that every forward-deployed team builds on. Requires 6+ years PM experience with platform/infra products and strong technical fluency.

Owns product outcomes for enterprise AI deployments, builds trust with C-level stakeholders, drives production readiness, and feeds high-signal input to platform teams. Requires 6+ years in product/technical roles with enterprise shipping experience.

Leads development of Agentic AI platforms for US government national security, owning full product lifecycle, stakeholder engagement, and ethical deployment in regulated environments. Requires 4+ years ML product experience, technical degree, and Top Secret clearance.