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David AI

AI dataset marketplace with bounty system

Deployment Strategist

Implementation & Technical Account ManagementUpdated on Nov 7
Full-time$145k - $200k /yrIn-person

About the Job

Requirements

  • 4–10+ years of relevant experience in deployment strategy, consulting, product or program management, founding, or a related area; experience at a fast-growing startup or technology company is ideal.
  • Familiarity with the AI training lifecycle and technical intuition for high-quality training data for advanced AI systems.
  • Ability to design and execute strategies to capture, grow, and retain revenue.
  • Proven project management expertise, attention to detail, and organizational ability.
  • Experience building and managing cooperative relationships across technical teams and senior executives.
  • Ability to contribute to designing and executing solutions in dynamic, undefined situations.

Responsibilities

  • Lead customer journeys end-to-end, from ideation to launch.
  • Build strong customer connections and consultative relationships across multiple business units and levels within customer organizations.
  • Translate customer objectives and collaborate with research and engineering teams to build actionable strategies that guide long-term customer success.
  • Identify opportunities within accounts where David AI’s data and research insights can add value.
  • Develop and execute strategic account plans that align stakeholders, guide customers through decision and review processes, and advance opportunities through mutual close plans.

Desired Qualifications

  • A proven track record in B2B client-facing roles, including opportunity generation and closing complex solutions with technical customers.
  • Education or professional experience in computer science, engineering, data science, statistics, or another STEM field.
  • Proficiency in SQL, Python, or other data science-related programming languages.

About the Company

David AI

AI dataset marketplace with bounty system

David AI runs a specialized data marketplace for AI applications. It connects AI model developers with data providers, allowing them to exchange high-quality datasets. The platform uses a bounty system: developers request datasets or data services, and providers claim bounties or list their datasets in a catalog. Revenue comes from transaction fees and possible premium subscriptions, with an emphasis on ensuring data quality, clear data rights, and fair pay for providers. The goal is to make it easier to obtain diverse, well-captioned datasets that improve AI model training and performance.

Company size
51-200
Company stage
Series B
Total funding
$75.1M
Headquarters
San Francisco, CA
Founded
2024

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