Engineering Manager, Active Learning
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Job Description
Engineering Manager at Deepgram guiding the design and implementation of internal data and ML systems. Leading a team to build solutions enhancing product quality and training efficiency.
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
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
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