[Remote] Engineering Manager, Engine Team

Note: The job is a remote job and is open to candidates in USA. Deepgram is the leading platform in the Voice AI economy, providing real-time APIs for speech-to-text and text-to-speech services. They are seeking an Engineering Manager to lead the design and implementation of core voice AI APIs, managing two teams of engineers to ensure scalability and reliability while promoting a strong engineering culture.

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 Deepgram’s core APIs to remain best-in-class for scalability and reliability
• 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 Product 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

Skills

• 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)
• Deep experience with machine learning inference at scale

Benefits

• Medical, dental, vision benefits
• Annual wellness stipend
• Mental health support
• Life, STD, LTD Income Insurance Plans
• Unlimited PTO
• Generous paid parental leave
• Flexible schedule
• 12 Paid US company holidays
• Quarterly personal productivity stipend
• One-time stipend for home office upgrades
• 401(k) plan with company match
• Tax Savings Programs
• Learning / Education stipend
• Participation in talks and conferences
• Employee Resource Groups
• AI enablement workshops / sessions
• For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.

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