Data Partnerships Manager

About this role

Job Summary: As a Data Partnerships Manager on our team, you will play a pivotal role in driving outbound company acquisition for AI data partnerships. This is a high-impact, growth-centric position ideal for someone who thrives in a fast-paced environment and is passionate about building meaningful business relationships through innovative outreach strategies.

Skills

Key responsibilities

• Proactively identify, engage, and qualify potential B2B partners.
• Own the process from prospect identification through qualification and handoff to the sales team
• Consistently execute high volume outbound activity across email, LinkedIn, phone, and other creative channels
• Utilize LinkedIn Sales Navigator, Apollo, and CRM tools to build and manage strong leads pipelines.
• Ability to articulate complex AI and data concepts in a simple and compelling way to founders and executives
• Vet companies against defined partnership criteria, shortlisting high-potential prospects for further engagement.
• Collaborate closely with the Recruitment Lead to align on partnership requirements and share market insights.
• Contribute to the development and optimization of scalable processes, eventually transitioning into a leadership role managing a small, dynamic team.

Required skills & qualifications

• Exceptional written and verbal communication skills, with an ability to persuade and build rapport.
• Comfortable engaging with CEOs, founders, and senior executives
• Ability to build trust quickly and navigate conversations around privacy, security, confidentiality, and data ownership
• Creative and resourceful in developing new outreach angles, messaging, and acquisition strategies
• Demonstrated expertise in cold calling, outbound lead generation, and B2B business development.
• Advanced proficiency with LinkedIn Sales Navigator, Apollo, and CRM platforms.
• Experience designing and managing automated email campaigns and multistep outreach sequences.
• Track record of handling objections with confidence, especially around complex compensation or data models.
• Strong organizational and qualification skills—adept at prioritizing and vetting companies.
• Scrappy, proactive, and driven attitude, comfortable thriving in ambiguity and fast-changing environments.

Preferred qualifications

• Exposure to AI data partnerships or similar technology-driven sectors.