Senior Engineering Manager, Enterprise AI Product

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineering Manager, Enterprise AI Product based in the United States. This is a senior technical leadership role guiding an open-source AI product from R&D incubation into a reliable, production-ready, enterprise-grade platform. You will lead a small, highly experienced engineering team while remaining close to technical execution, architecture, code quality, and delivery. The role combines people leadership, hands-on engineering judgment, product partnership, and the development of scalable engineering practices. You will help define what production readiness means across AI-enabled workflows, privacy, security, reliability, integrations, and user experience. Working in a fully remote and globally distributed environment, you will collaborate across engineering, product, design, and enterprise-facing teams. The ideal candidate has successfully helped early-stage products mature without sacrificing speed, experimentation, or technical quality. This is an opportunity to shape an AI product designed around user control, privacy, flexible deployment, and enterprise adoption. Lead engineering execution by establishing priorities, ownership, timelines, dependencies, quality expectations, and delivery plans for a growing AI product. Manage and develop a team of senior engineers and contractors through coaching, feedback, performance management, hiring, onboarding, and career development. Stay technically engaged by contributing code when appropriate, reviewing technical work, evaluating architectural tradeoffs, and helping the team maintain engineering momentum. Partner with product and technical leadership to translate product strategy, AI capabilities, user experience goals, and technical priorities into coordinated engineering roadmaps. Establish lightweight but effective planning, review, release, and follow-through processes that improve predictability without slowing innovation. Maintain high standards for code quality, testing, documentation, reliability, security, maintainability, and production readiness. Develop strong technical and architectural context across AI-enabled workflows, LLM applications, RAG, agents, enterprise search, automation, and customer-controlled deployment models. Guide engineering decisions across local-first, offline-capable, self-hosted, hybrid, on-premise, and other privacy-focused architectures, balancing data control, synchronization, reliability, and user experience. Collaborate with product, design, enterprise-facing teams, and technical leadership to balance speed, product quality, privacy, security, enterprise requirements, and long-term sustainability. Improve engineering practices around technical planning, code review, release readiness, testing, CI/CD, documentation, technical debt, and maintainability. Lead resource planning and team growth as the product moves toward broader adoption and enterprise scale. Help establish the organizational clarity, ownership, and release confidence required to evolve an incubation-stage product into a dependable enterprise solution. Contribute to building an engineering culture that supports experimentation while maintaining a high standard of user-facing product quality and technical craft. Requirements 15+ years of professional software development experience, including significant experience in senior engineering leadership, complex product delivery, or comparable technical roles. 5+ years of experience managing engineering teams, including senior engineers or senior individual contributors. Proven track record of leading teams that have delivered polished, high-quality products with strong standards for engineering and user experience. Strong ability to turn ambiguous product and technical direction into clear plans, ownership structures, priorities, and sustainable delivery momentum. Technical fluency across AI-e