Associate Data Partnerships Manager

What you would do

• Research and identify companies with valuable operational datasets across industries and segments that could benefit AI training and evaluation
• Execute outbound prospecting campaigns reaching founders, executives, and decision-makers through email, LinkedIn, and phone outreach
• Book and conduct discovery calls with prospects, explaining how their data contributes to AI advancement and addressing privacy concerns
• Negotiate partnership terms covering data scope, licensing fees, anonymization requirements, and ownership rights
• Close deals and manage contract execution, then coordinate internal onboarding of newly partnered data providers

Who they want

• 2+ years of business development, partnerships, or B2B sales experience with track record of closing enterprise or mid-market deals
• Proven comfort with cold outreach, prospecting at scale, and building relationships from initial contact through agreement
• Ability to clearly explain technical concepts and AI training methodologies to non-technical business audiences
• Experience discussing data security, privacy regulations, and compliance frameworks with corporate stakeholders
• Motivated by performance-based compensation including base hourly rate plus per-deal bonuses on successful closes

Main skills

What the interview asks about

1. 1.Prospect qualification and targeting

   Identifying companies with genuinely useful data requires market research skills and understanding what types of datasets improve AI models.

   For example: “You identify a healthcare logistics company with 5 years of delivery data. What questions would you ask initially to assess whether this dataset would genuinely help train AI systems?”

2. 2.Privacy objection handling

   Data partners inevitably worry about security risks and regulatory compliance; candidates must address these concerns credibly without overselling.

   For example: “A prospect says their legal team is concerned about GDPR compliance if they share customer service interaction logs. How would you explain what data sharing actually involves and build confidence?”

3. 3.Value articulation for different roles

   CEOs, CFOs, and legal officers have different priorities; effective pitching tailors value propositions to each decision-maker's concerns.

   For example: “You have a call with both the CEO and Chief Data Officer of a manufacturing company. How would you position the data partnership opportunity differently to each of them?”

4. 4.Closing and negotiation tactics

   Moving from qualified interest to signed agreement requires comfort with pushback, creative problem-solving on terms, and appropriate assertiveness.

   For example: “A company agrees the partnership makes sense but wants to reduce the licensing fee by 40% claiming budget constraints. How would you handle this objection?”

5. 5.Pipeline management discipline

   Closing 5-10 deals monthly at scale requires consistent process discipline, follow-up rigor, and priority management among dozens of active prospects.

   For example: “Describe how you would organize and track a pipeline of 80 active prospects to ensure timely follow-up and maximize closure probability.”

A task you may get

Write outbound messaging to a software company with operational data, explaining how data sharing benefits AI, and addressing security and privacy concerns.

How to prepare

• Research 10 companies across industries that generate valuable operational data and understand what datasets are most useful for AI training
• Study data privacy regulations including GDPR, CCPA, and industry-specific compliance frameworks to speak credibly about privacy safeguards
• Prepare 3 concrete examples from previous business development roles demonstrating how you navigated complex objections and closed difficult deals
• Practice explaining AI training and evaluation concepts to non-technical audiences, focusing on clarity and addressing legitimate privacy or security concerns

The facts

Pay

$40–60/hr

Open to

Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia

Field

Sales Marketing

Role type

Specialist

Posted

8/18/2026

Places left

1

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