Product Manager, Research

David AI

$125K — $150K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Undergraduate degree in Computer Science, Engineering, Data Science, or related field
  • 4+ years of experience in product management or similar technical roles
  • Direct experience collaborating with engineering, operations, and research or ML teams
  • Strong technical intuition regarding data pipelines and machine learning workflows
  • Analytical and structured problem-solver who can create clear plans from ambiguity

Responsibilities

  • Own product strategy and roadmaps for audio data products
  • Translate model training needs into data collection and quality standards
  • Partner with teams to operationalize datasets and new capabilities
  • Define metrics and criteria for prioritizing and measuring impact
  • Possibly specialize in areas like data roadmap, quality, or commercialization

Benefits

  • Collaborative and ambitious team culture
  • Exposure to cutting-edge audio AI technology
  • Opportunity to work with leading tech companies and AI labs
  • Access to a growing portfolio of innovative data products
  • Potential for career specialization in a rapidly evolving field
Full Job Description
About this role

As an Product Manageron the Product team, you will own the strategy and execution for critical parts of our audio data portfolio. You will work closely with Research, ML, Engineering, and Operations to translate model needs into concrete data roadmaps, quality frameworks, and customer-ready deliverables.

In this role, you will
  • Based on interest and background, specialize in specific areas such as data roadmap and expansion, data quality and metrics, and/or evaluation and commercialization.
  • 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.


Your background looks like
  • 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.
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.

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