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Posted Aug 17, 2025Deployment Strategist
at David AI
San Francisco, United StatesOn-site
Responsibilities
- - Build and foster strong customer connections and consultative relationships across multiple business units and levels within customer organizations.
Requirements
- ABOUT DAVID AI David AI is the first audio data research company.
- We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models.
- Our mission is to bring AI into the real world, and we believe audio is the gateway.
- As audio AI advances and new use cases emerge, high-quality training data is the bottleneck.
- This is where David AI comes in.
- David AI was founded in 2024 by a team of former Scale AI engineers and operators.
- In less than a year, we’ve brought on most FAANG companies and AI labs as customers.
- We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
- Embedded deeply within customer organizations and connected tightly to product, research, and engineering, we ensure that every engagement creates meaningful impact for customers and accelerates the evolution of David AI.
- ABOUT THIS ROLE David AI is hiring a Deployment Strategist to serve as a trusted partner to customers on their most critical audio AI initiatives, shaping strategy and guiding them on their approach to audio training.
- You’ll work closely with senior stakeholders to uncover opportunities, define priorities, and design solutions that enable David AI to deliver consistently high-quality outcomes to our customers.
- - Uncover new opportunities within accounts by identifying where David AI’s data and research insights can add value.
- - Familiarity with the AI training lifecycle and have strong technical intuition for what makes high-quality training data for advanced AI systems.
- - Skill in designing and executing building strategies to effectively capture, grow, and retain revenue.
- experience with CS, Engineering, Data Science, Statistics, or other STEM fields. - Proficiency in SQL, Python, or other data science-related programming languages.