Senior Engineering Manager, Enterprise AI Product [Remote]

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.

Accountabilities:

• 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-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.

Benefits

• 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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.