
Engineering Manager – Team Lead
Posted Jun 20

Posted Jun 20
This is a fully remote position, open to applicants in Florida, +7 more states.
• Lead, mentor, and develop a distributed team of engineers focused on AI-driven, LLM integrated workflows, digital voice agents, and cloud-native services.
• Oversee daily engineering operations, ensuring adherence to product roadmaps, client commitments, and quality benchmarks.
• Provide technical guidance across the AI platform, covering areas such as agent orchestration, integrations, and real-time systems.
• Support and implement architectural decisions made in collaboration with the Chief AI Architect, ensuring that solutions adhere to scalability, reliability, security, and compliance standards.
• Collaborate closely with Product Management to convert business and client requirements into precise technical plans and deliverables.
• Work alongside Customer Success teams to facilitate production deployments, incident resolution, and ongoing improvements.
• Establish and promote engineering best practices concerning code quality, documentation, testing, observability, and release management.
• Recruit, onboard, and retain top-tier engineers while nurturing a culture of ownership, accountability, and continuous learning.
• Ensure that teams are effectively prioritizing tasks, managing technical debt, and balancing speed with the long-term health of the platform.
• Contribute to the planning and execution of multiple concurrent initiatives in a dynamic, client-facing environment.
• Bachelor’s degree in Computer Science, Engineering, or a related discipline.
• 6–10+ years of experience in AI, SaaS, or customer experience platforms; or a comparable combination of education and experience.
• Practical experience in integrating and operating AI voice technologies, including ElevenLabs or similar enterprise-grade speech generation platforms (TTS) and functioning within cloud-native systems, preferably AWS.
• Excellent communicator capable of aligning technical teams with product objectives and operational realities.
• Proven experience in leading teams employing modern software delivery methods, including sprint planning, backlog management, and release coordination.
• Strong commitment to delivering high-quality results swiftly, with a sense of ownership and a robust team culture.
• Familiarity with AI evaluation practices, including bias testing and risk assessment in production environments.
• Previous experience working with geographically dispersed teams across the U.S., India, and Europe.
• Availability to work outside standard business hours to meet client needs and support critical initiatives.
• Preferred experience with contact center technologies such as Amazon Connect, Genesys, NICE, Talkdesk, or Five9.
• Medical
• Dental
• 401k
• Life insurance
• Paid time off
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