Engineering Manager, Active Learning

Deepgram is the leading platform in the Voice AI economy, providing real-time APIs for speech-to-text and text-to-speech services. The Engineering Manager will lead a team in designing and implementing internal data and machine learning training systems, driving the development of crucial components for product quality and large-scale ML training.

Responsibilities:

• Recruit, hire, train, and support top engineering talent to build a world-class team
• Transform cross-functional visions into detailed project plans, ensuring clarity across teams on commitments, risks, and timelines
• Define and own the technical strategy enabling acceleration of Deepgram’s ML training pipelines
• Promote a robust team engineering culture, including a focus on rigorous engineering standards as well as continuous improvement on team practices and processes
• Partner with DataOps and Research to design and implement new services, features, and/or products end to end
• Coach and mentor engineers to achieve high personal growth while delivering on ambitious team goals

Requirements:

• Proven experience managing and leading and growing a team with a consistent record of mentoring and coaching team members
• A strong technical background building world class solutions
• The ability to drive technical decisions in a scalable and thoughtful manner
• Passion about good engineering practices, emerging technologies, and improving processes
• A passion for navigating the team through the real-world constraints of a startup: how to build quickly, iterate frequently, and run experiments
• Strong practical experience with software architecture and implementation, plus the ability to engage with an Engineering team to help build and scale the existing infrastructure
• Experience working in high-growth startups
• Familiarity with hybrid cloud models (bare-metal datacenters and cloud service providers) and scaled databases
• Deep experience with machine learning training, inference, or both