Note: The job is a remote job and is open to candidates in USA. Forsyth Barnes is seeking an Engineering Manager to lead a team focused on delivering AI-powered experiences across a mobile application and the underlying AI platform. This role involves managing technical delivery, team development, and ensuring the successful execution of AI-driven products at scale.

Responsibilities

• Own roadmap planning, delivery predictability, and capacity management across the mobile application and AI platform
• Drive high-quality mobile releases across iOS and Android, with a strong focus on customer experience, frontend quality, and product delivery
• Lead, mentor, and develop a distributed engineering team through coaching, regular 1:1s, hiring, performance management, and clear accountability
• Improve application performance, stability, and deployment reliability
• Ensure backend APIs and service contracts remain stable and scalable to support efficient cross-team development
• Oversee production-grade implementation of multi-agent systems, planning agents, retrieval architectures, model orchestration, and latency optimization
• Establish evaluation frameworks and regression testing processes to maintain consistency and quality as AI systems evolve
• Define and enforce performance, reliability, and responsiveness standards across AI-powered products
• Maintain clear architectural boundaries between platform services and core systems to support long-term scalability and maintainability
• Reduce operational risk by improving documentation, team resilience, and knowledge sharing
• Lead incident management, postmortems, and long-term remediation efforts for critical platform issues
• Partner with Product, Data, and domain specialists to translate complex AI initiatives into actionable plans, quality safeguards, and measurable outcomes
• Communicate progress, risks, and priorities effectively with leadership and cross-functional stakeholders

Skills

• 7+ years of engineering management experience leading complex, business-critical systems
• Strong people leadership experience, including coaching, hiring, performance management, and team development
• Experience managing mobile engineering teams, ideally delivering applications with React Native across iOS and Android
• Strong frontend and product delivery mindset with experience leading customer-facing mobile experiences
• Experience leading AI infrastructure, AI platforms, or distributed backend engineering teams handling sensitive or mission-critical workloads
• Familiarity with multi-agent systems, planning agents, retrieval architectures, model orchestration, and machine learning-powered production environments
• Strong backend engineering foundation, preferably in TypeScript or a comparable technology stack
• Demonstrated success improving engineering execution, delivery predictability, and operational discipline
• Experience establishing architectural standards and maintaining clear system boundaries
• Advanced user of AI and LLM-based tools for planning, communication, workflow optimization, and operational effectiveness
• Strong proficiency with project management and documentation platforms such as Jira, Confluence, or similar tools
• Experience leading fully remote and distributed engineering teams
• Excellent communication skills with the ability to translate technical complexity into clear operational plans for non-technical stakeholders

Company Overview