Product Manager, Research

David AI • San Francisco, CA

1d • $190,000 - $260,000 • Onsite

About The Position

David AI is the first audio data research company, bringing an R&D approach to data development with the rigor AI labs bring to models. Their mission is to bring AI into the real world, believing audio is the gateway due to its versatility, accessibility, and human-like nature. High-quality training data is identified as a bottleneck in advancing audio AI. Founded in 2024 by former Scale AI engineers and operators, David AI has quickly gained major FAANG companies and AI labs as customers and recently raised a $50M Series B. The company is seeking sharp, humble, ambitious, and tight-knit individuals to join their mission in pushing the frontier of audio AI. The Product team at David AI operates at the intersection of research, engineering, and operations, focusing on shaping audio data products that power modern machine learning models. They translate emerging research into scalable data products, ensuring quality, coverage, and clarity for model builders. As a Product Manager on this team, you will own the strategy and execution for key aspects of their audio data portfolio, collaborating with Research, ML, Engineering, and Operations to translate model needs into concrete data roadmaps, quality frameworks, and customer-ready deliverables.

Requirements

• Undergraduate degree in Computer Science, Engineering, Data Science, or a related field.
• 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.
• Strong technical intuition around data pipelines, annotations, evaluation, and ML training workflows.
• Analytical and structured, with the ability to turn ambiguous problems into clear plans and tradeoffs.

Responsibilities

• Own product strategy and roadmaps for audio data products, from research-driven experimentation through scaled production and delivery for model builders.
• Translate researcher model training needs into precise requirements for data collection, quality standards, evaluation, and documentation.
• Partner closely with Research, ML, Engineering, and Operations to operationalize new datasets and capabilities.
• Define metrics and success criteria to guide prioritization and measure impact across quality, coverage, cost, and speed.
• Based on interest and background, specialize in specific areas such as data roadmap and expansion, data quality and metrics, and/or evaluation and commercialization.

Benefits

• Unlimited PTO.
• Top-notch health, dental, and vision coverage with 100% coverage for most plans.
• FSA & HSA access.
• 401k access.
• Meals 2x daily through DoorDash + snacks and beverages available at the office.
• Unlimited company-sponsored Barry’s classes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level