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Posted 4 months ago
Requirements and responsibilities
Job DescriptionHelp define how enterprise AI systems become trusted, governed, and continuously improving in production.This role sits at the center of a fast-scaling open-source AI platform with 28k+ GitHub stars, tens of thousands of weekly installs, millions of copilot interactions, and consistent double-digit month-over-month growth. The product is already monetizing at the enterprise level and is used by startups and Fortune 100 companies alike.Backed by $6.5M in funding, the team is small, senior, and building the infrastructure that moves AI agents from demos into durable, enterprise-grade systems.They are hiring a Senior Program Manager to lead execution across Enterprise Intelligence Systems - the revenue-driving platform that enables persistence, analytics, observability, governance, and reinforcement learning for agentic applications.The RoleYou will work directly with founding engineers to scale the Enterprise Intelligence Platform from an early cloud offering into a mission-critical layer for enterprise customers.This is not a feature PM role. You will drive execution across systems that must be reliable, durable, backward-compatible, and production-ready.Your scope includes persistence services, intelligence and analytics layers, operational insight tooling, governance controls, and reinforcement learning workflows that allow agentic systems to improve over time.What You’ll OwnRoadmap and delivery for Enterprise Intelligence systemsTranslating product strategy into executable multi-team plansDependency management across high-risk, high-complexity initiativesRelease readiness, risk tracking, and operational checklistsBalancing speed with durability, reliability, and backward compatibilityPartnering directly with enterprise customers to inform roadmap prioritiesEvolving planning frameworks appropriate for enterprise-scale systemsWhat They’re Looking For5+ years of program, technical program, or product management experience in complex software systemsStrong understanding of production environments, including reliability, observability, and lifecycle managementProven experience coordinating multi-team initiatives with significant technical depthExperience operating in high-ambiguity, fast-moving environmentsFluency in agile planning, forecasting, and dependency managementComfort working in AI-native workflows and using AI tools dailyExcellent communication skills across technical and non-technical stakeholdersHands-on experience with tools such as Linear, Jira, or similarNice to have:Experience supporting enterprise customersBackground in AI/ML systems running in productionExperience in early-stage or Series A–B environments scaling into enterpriseWhy This Role Stands OutYou will shape the intelligence layer that makes enterprise AI systems governable and trustworthyThe product already has strong adoption and real enterprise revenueYou will work directly with founding engineers on foundational systemsThis is a zero-to-one platform scaling moment inside a high-growth AI companyYour work directly impacts enterprise customers running AI in productionAI DisclaimerWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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