Senior Engineering Manager, Enterprise AI Product in New York at Jobgether

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.

• 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-enabled products, with the ability to evaluate tradeoffs involving LLM applications, RAG workflows, agents, enterprise search, automation, on-device AI, or AI evaluation.
• Experience delivering complex user-facing applications across multiple platforms, such as desktop, web, and mobile, using technologies such as Tauri, Electron, React Native, or comparable frameworks.
• Experience with enterprise software, regulated environments, or similarly complex products involving security, privacy, compliance readiness, administration, integrations, or customer-controlled deployment.
• Practical experience with local-first, offline-capable, self-hosted, hybrid, on-premise, air-gapped, or other customer-controlled architectures, including tradeoffs involving data storage, synchronization, privacy, reliability, and user experience.
• Experience improving engineering operating practices covering technical planning, code review, release management, testing, documentation, CI/CD, maintainability, and technical debt.
• Excellent communication skills, with the ability to clearly articulate technical priorities, release risks, ownership expectations, quality standards, and architectural tradeoffs.
• Strong people leadership, mentoring, hiring, prioritization, stakeholder management, and cross-functional collaboration skills.
• Experience working effectively with globally distributed teams across different time zones and disciplines.
• Experience in open-source or community-driven engineering environments is a plus.
• Familiarity with compliance and security frameworks such as SOC 2, HIPAA, ISO 27001, or similar standards is advantageous.
• Experience taking a product from zero to one within a startup or new product initiative is beneficial.

• US base salary: $215,000–$240,000 USD, benchmarked against local market data and targeted at the 60th percentile of the relevant peer market.
• Annual bonus program.
• Fully remote work with flexible scheduling.
• Company-provided laptop.
• Monthly remote work stipend.
• Annual professional development stipend.
• Access to Coursera learning resources.
• Support for industry conferences and continued professional learning.
• Company-wide all-hands and team gatherings.
• 24 days of PTO per year, prorated where applicable.
• Birthday leave.
• Year-end company shutdown.
• 9 wellbeing days.
• Public holidays and additional paid leave.
• Quarterly wellbeing stipend for personal or family activities.
• 401(k) contributions.
• Health, dental, and vision insurance.
• Disability insurance.
• Life insurance.
• Employee assistance program.
• Paid parental leave.
• Paid sick days.
• Fully remote collaboration with an international team and open-source community.
• Inclusive environment that values diverse perspectives, continuous learning, ethical technology, and responsible AI.
• Applicants must reside in an eligible country and have permanent work authorization; visa sponsorship is not provided.