Engineering Manager, Active Learning

Requirements

• COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale.
• COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
• Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work.
• We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here.
• Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
• Additionally, we move at the pace of AI.
• OPPORTUNITY Deepgram is looking for an Engineering Manager to lead the design and implementation of Deepgram’s internal data and ML training systems.
• You will lead a team of engineers in building crucial components for driving a data flywheel that powers fundamental product quality as well as a system for large-scale, distributed ML training on a HPC cluster.
• Your ability to partner effectively with leaders and ICs in Research and DataOps while leading talented engineers to build, maintain, and extend mission-critical systems will contribute significantly to Deepgram’s competitive advantage.
• WHAT YOU’LL DO - 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
• 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
• experience with software architecture and implementation, plus the ability to engage with an Engineering team to help build and scale the existing infrastructure IT WOULD BE GREAT IF YOU HAD -