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Scale AI is seeking a Product Manager for the Public Sector to lead military planning and real-time AI/Alerting within constrained environments. You will own a cross-cutting portfolio, translate operational realities into actionable input for engineers, and manage senior DoD and civilian stakeholders while driving production deployments.
The role emphasizes deep domain fluency, production-ready delivery, and the ability to balance competing priorities in a high-stakes setting with TS/SCI
Comfortable operating with senior military/civilian/mission stakeholders and senior engineers simultaneously; credible presence in high-stakes rooms on both sidesExtreme ownership and follow-through: closes loops without reminders, drives outcomes across teams without formal authority, holds self and others to commitmentsActive TOP SECRET security clearance (TS/SCI eligibility preferred)The military planning process (e.g., the Joint Planning Process) and modeling/simulation systems (e.g., AFSIM)Technical translation: bridges the gap between customer engineering/planning teams and Scale platform engineers; adds interpretation rather than simply relaying messagesDomain fluency: working knowledge of the military planning process and modeling/simulation tools (e.g., Joint Planning Process, AFSIM), and/or the tradeoffs inherent to real-time, event-driven, high-throughput data architectures and their implications for AI agents - and how each shapes product decisionsReal-time streaming data systems - event-driven architectures, low-latency pipelines, and high-throughput data processing - and how they behave in productionEnterprise deployment ownership: has driven AI/ML or complex/real-time software products from contract to production at scale - including near-zero-to-one, with no real users yet - with real integration, real security constraints, and real change managementProduct judgment in the field: translates customer reality into product direction, not just feature requests; can say no credibly and explain whyAbility to shape a cross-cutting set of solutions across multiple stakeholders and use cases, rather than customer-specific solutionsClear, precise communication: adjusts for audience (senior leader vs. engineer vs. PM); writes and speaks at the right level of detail; does not over- or under-explainAbility to travel, including to classified facilitiesDirect experience working with the U.S. Department of War (DoW) or the broader U.S. national security communityDemonstrated record of shipping AI or data products into large, constrained, classified, or highly regulated organizations - not pilots or proofs-of-concept. You can name the customer, the scale, the integration, and what production actually looked likeStrong judgment under pressure: makes good calls quickly with incomplete information, knows when to elevate vs. resolve, does not generate thrash6+ years in product management, technical program management, or a customer-facing product ownership role, including experience operating at an L6 (senior/staff) level of scope and autonomyTechnical fluency sufficient to hold a real conversation with a platform engineer about architectural tradeoffs - not deep coding, but genuine comprehension of how systems work in productionOperating in ambiguity and constrained environments: creates structure where there is none; makes decisions with incomplete information inside classified settings; does not wait for fully defined requirementsWorking knowledge of at least one of the following, with an ability to speak credibly to the other:Customer trust-building: earns and maintains trust with demanding senior military, civilian, and mission stakeholders over multi-quarter engagements; manages conflict without eroding the relationshipDirect experience with AI/ML platform products - agentic capabilities, human-agent interaction, large-scale data, some T&E; or data labeling, RLHF, fine-tuning workflows, and model evaluation pipelinesExperience in a startup or early-stage environment where process didn’t exist and had to be createdHands-on familiarity with streaming technologies (e.g., Kafka, Flink, Kinesis) or the operational systems that consume themPrior forward-deployed or embedded role (consulting, field PM, solutions engineering with ownership)Prior military service or DoD/DoW civilian experience in an operations, planning, or acquisitions role