Remote Data Partnerships Manager for AI Training

SaidGig

New York (NY)

Remote

USD 114,616,000 - 201,130,000

Full time

5 days ago
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Job summary

SaidGig is seeking a remote, full-time Partnerships Manager to drive collaborations that bring operational data into AI training and evaluation initiatives. You will identify target companies, engage founders and executives, lead discovery calls, and guide deals from outreach through signed agreements.

You will address privacy, security, data ownership, and anonymization questions, then collaborate with internal teams to onboard new partners after close; a performance-based compensation

Qualifications

  • Strong communication, negotiation, prospecting, closing, and relationship-building skills.
  • Comfort engaging founders, executives, and business owners.
  • Ability to lead discovery conversations and communicate value clearly.
  • Resourceful, proactive approach in a fast-moving environment.

Responsibilities

  • Identify companies with operational data for AI training/evaluation.
  • Prospect and engage founders, executives, and business owners via outbound outreach.
  • Schedule and lead discovery calls with prospective partners.
  • Explain potential AI uses for partner data.
  • Address privacy, security, data ownership, and anonymization questions.
  • Negotiate partnership terms and close agreements.
  • Own the partnership pipeline from outreach to signed agreement.
  • Collaborate with internal teams to onboard partners after close.

Skills

Strong communication
Negotiation
Outbound prospecting
Pipeline development
Relationship building
Explain tech to non-tech

Education

2+ years in BD/ partnerships

Job description

SaidGig is seeking a remote, full-time Partnerships Manager to drive collaborations that bring operational data into AI training and evaluation initiatives. You will identify target companies, engage founders and executives, lead discovery calls, and guide deals from outreach through signed agreements.

You will address privacy, security, data ownership, and anonymization questions, then collaborate with internal teams to onboard new partners after close; a performance-based compensation

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