Engineering Manager

Convoso is a leading AI-powered contact center platform purpose-built for revenue teams. Since 2006, Convoso has remained at the forefront of innovation, consistently developing solutions to drive customer growth while supporting adherence to regulatory standards.

Who We Are:

While headquartered in Los Angeles, the Convoso team can be found around the globe working in either a hybrid or remote capacity. Awarded as a "best place to work" company, our culture fosters team integrity, positive persistence, and continuous growth.

Our core platform powers successful sales teams across multiple industries, giving our customers a competitive edge and streamlined productivity. With built-in Al and automations, our product is a premium offering in a competitive space. We continue to grow our product capabilities to better serve our current customers and to expand into newer markets.

Convoso is looking for people who are excited about technology and innovation. We are a company of motivated team players with diverse backgrounds driving accelerated growth in a supportive, positive culture.

The Job:

At Convoso, we’re building the future of lead generation contact centers. We’re looking for a Senior Manager of Software Engineering to lead teams responsible for building, scaling, and maintaining our customer-facing applications, APIs, internal systems, and data infrastructure.

This is a hands-on engineering leadership role focused on technical execution, team performance, architecture, scalability, and operational excellence, while driving the practical use of AI throughout Engineering to improve how we develop, deploy, and operate software.

What You'll Be Doing:

• Drive the adoption and day-to-day use of AI to improve developer productivity, software quality, automation, troubleshooting, documentation, and engineering operations.
• Lead and develop Engineering teams, ensuring projects are delivered on time and at the expected level of quality.
• Establish and track engineering KPIs, development processes, and performance standards.
• Manage backlogs, sprints, priorities, dependencies, and resource allocation.
• Partner with Product, QA, DevOps, and CS to remove roadblocks and maintain visibility into project status and risks.
• Hire, coach, develop, and performance-manage engineering talent.
• Contribute to software and infrastructure architecture, technical debt reduction, security, scalability, and high availability.
• Respond to critical production issues, lead root-cause analysis, and drive improvements to prevent recurrence.
• Partner with Engineering leadership on team structure, headcount, tooling, and technology investments.