Engineering Manager/Team Lead

Humach, LLC•Dallas, TX

10d•Remote

About The Position

Humach is reinventing customer experience with emotionally intelligent AI agents. As the creators of the world’s most customer-centric digital workforce, we blend cutting-edge LLMs, voice biometrics, and intelligent orchestration into real-time service solutions. Backed by top partners and ambitious clients, we’re scaling fast — and need a technical leader to support our team. Humach is hiring an Engineering Manager / Team Lead to lead and scale a high-performing AI engineering team responsible for building and operating Humach’s digital agent and orchestration platform. This role blends people leadership, technical oversight, and hands-on collaboration to ensure reliable, scalable, and compliant AI-powered solutions are delivered to clients. This is a working leader role focused on execution, technical excellence, and team development—partnering closely with Product, Client Success, and Architecture while remaining deeply grounded in engineering realities. This is a fully remote position open to candidates who currently reside in Iowa, Wisconsin, Illinois, Texas, Florida, New Jersey, Michigan, and Minnesota.

Requirements

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.

Nice To Haves

Experience with contact center technologies, such as Amazon Connect, Genesys, NICE, Talkdesk, or Five9 is preferred.

Responsibilities

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.