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Engineering Manager – Team Lead
HumachEngineering Manager/Team Lead for high-performing AI engineering team at Humach. Overseeing AI-driven workflows, voice agents, and cloud-native services while ensuring quality and team development.
Posted 5/2/2026full-timeRemote • Florida, Illinois, Iowa, Minnesota, Missouri, New Jersey, Texas, Wisconsin • 🇺🇸 United StatesSeniorWebsite
Tech Stack
Tools & technologiesAWSCloud
About the role
Key responsibilities & impact- Lead, coach, and develop a distributed team of engineers working on AI-driven, LLM integrated workflows, digital voice agents, and cloud-native services.
- Own day-to-day engineering execution, ensuring delivery against product roadmaps, client commitments, and quality standards.
- Provide technical leadership across the AI platform, including agent orchestration, integrations, and real-time systems.
- Support and operationalize architectural decisions defined in collaboration with the Chief AI Architect, ensuring solutions meet scalability, reliability, security, and compliance standards.
- Partner closely with Product Management to translate business and client needs into clear technical plans and deliverables.
- Collaborate with Customer Success teams to support production deployments, incident resolution, and continuous improvement.
- Establish and reinforce engineering best practices around code quality, documentation, testing, observability, and release management.
- Hire, onboard, and retain high-quality engineers while fostering a culture of ownership, accountability, and learning.
- Ensure teams are effectively prioritizing work, managing technical debt, and balancing speed with long-term platform health.
- Contribute to planning and execution across multiple concurrent initiatives in a fast-paced, client-facing environment.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 6–10+ years of experience in AI, SaaS, or customer experience platforms; or an equivalent combination of education and experience.
- Hands-on experience integrating and operating AI voice technologies, including ElevenLabs or equivalent enterprise-grade speech generation platforms (TTS) and operating in cloud-native systems, preferably AWS.
- Clear communicator who can align technical teams with product goals and operational realities.
- Experience leading teams with modern software delivery practices, including sprint planning, backlog management, and release coordination.
- Demonstrated commitment to delivering high ‑ quality results with speed, ownership, and a strong team culture.
- Experience with AI evaluation practices, including bias testing and risk assessment in production systems.
- Prior experience working with geographically dispersed teams across the U.S., India, and Europe.
- Willingness to work outside standard business hours to support client needs and critical initiatives.
- Experience with contact center technologies, such as Amazon Connect, Genesys, NICE, Talkdesk, or Five9 is preferred.
Benefits
Comp & perks- medical
- dental
- 401k
- life insurance
- paid time off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AISaaScloud-native systemsAI voice technologiesspeech generation platformsbias testingrisk assessmentsoftware delivery practicessprint planningbacklog management
Soft Skills
leadershipcoachingcommunicationcollaborationaccountabilityownershipteam cultureprioritizationproblem-solvingadaptability