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David AI is an audio data research company founded in 2024 by former Scale AI engineers. The company has rapidly grown to serve most FAANG companies and AI labs as customers, recently raising a $50M Series B from top-tier investors including NVIDIA, Meritech, and First Round Capital.
As a Product Manager on the Product team, you will own strategy and execution for critical parts of David AI's audio data portfolio. You'll work at the intersection of research, engineering, and operations to shape data products that power modern machine learning models.
Key responsibilities include:
- Owning product strategy and roadmaps for audio data products, from research-driven experimentation through scaled production and delivery
- Translating researcher and model training needs into precise requirements for data collection, quality standards, evaluation, and documentation
- Partnering closely with Research, ML, Engineering, and Operations teams to operationalize new datasets and capabilities
- Defining metrics and success criteria to guide prioritization and measure impact across quality, coverage, cost, and speed
- Specializing in areas such as data roadmap expansion, data quality and metrics, or evaluation and commercialization based on background and interest
You should have an undergraduate degree in Computer Science, Engineering, Data Science, or related field, with 4+ years of experience in product management, data platforms, ML infrastructure, or adjacent technical roles. Direct experience working across engineering, operations, and research or ML teams is essential. Strong technical intuition around data pipelines, annotations, evaluation, and ML training workflows is required, along with analytical and structured thinking to turn ambiguous problems into clear plans and tradeoffs.
