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Factored

End-to-end AI talent augmentation services

Associate Partner Development Manager

Business Development & PartnershipsUpdated on Nov 9
Full-timeRemote in USA

About the Job

Requirements

  • Proven experience engaging senior executives in B2B environments, ideally in AI, data, or software development services.
  • A proven track record of building partner-sourced pipelines and driving measurable revenue impact.
  • Demonstrated ability to hold partners accountable and drive effective joint execution, from account planning through co-sell.
  • Prior experience with at least one of the Databricks, AWS, or Anthropic partner ecosystems.
  • Strong strategic thinking and account-mapping skills.

Responsibilities

  • Hunt and source new deal opportunities directly from partner ecosystems, including Databricks, AWS, and Anthropic networks.
  • Conduct deep account research to understand organizational structure, business priorities, technology landscape, and potential entry points, and engage VP- and C-level executives.
  • Partner closely with internal Product, Research, Engineering, Legal, and Go-To-Market teams to integrate and scale partner solutions.
  • Generate a high-quality pipeline for Account Executives by booking qualified meetings aligned with the ideal customer profile and revenue goals.
  • Maintain accurate customer relationship management data and provide visibility into pipeline activity, conversion metrics, and account insights.

About the Company

Factored

End-to-end AI talent augmentation services

Factored provides end-to-end talent augmentation for AI, ML, and data science by sourcing, vetting, training, and managing remote engineering teams that integrate as extensions of a client's team. Their engineers, mainly from Latin America, work across all US time zones and can provide technical leadership, hands-on execution, or advisory support to accelerate AI roadmaps for US-based companies. They organize experts into Centers of Excellence (AI/ML, Data Science, Data Analytics, Data Engineering, Software Engineering) and apply projects like personalized recommendations, fraud detection, credit risk models, and automated data pipelines. Their differentiation comes from focusing exclusively on AI/data, using a vetted upskilling program developed with Stanford and deeplearning.ai, and offering nearshore talent with seamless integration to clients, with a goal to help organizations scale AI/data capabilities quickly and cost-effectively.

Company size
201-500
Company stage
Seed
Total funding
$2.5M
Headquarters
Mountain View, CA
Founded
2019

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