Data Partnerships Manager

Job Title: Data Partnerships Manager

Job Type: Full-time

The Role

We are looking for a Data Partnerships Manager to identify, engage, and close partnerships with companies interested in contributing workflow data for AI training and evaluation.

You will own the partnership process end-to-end: sourcing companies, running discovery conversations, understanding business workflows, navigating privacy and security discussions, negotiating commercial terms, and onboarding new partners.

1. Source and engage companies with valuable operational workflows across a variety of industries.
2. Build relationships with founders, executives, and operational leaders.
3. Conduct discovery calls to understand business processes, workflow complexity, and partnership potential.
4. Educate prospective partners on how workflow data is used to train and evaluate AI systems.
5. Lead conversations around privacy, security, anonymization, data ownership, and compliance requirements.
6. Design partnership structures that align company goals with AI customer needs.
7. Negotiate commercial terms and close partnership agreements.
8. Build and manage a pipeline of high-quality partnership opportunities.
9. Collaborate with internal operations, product, and data teams to successfully onboard new partners.
10. Help develop repeatable acquisition strategies, messaging, and partnership playbooks as the program scales.

1. 3+ years of experience in Business Development, Partnerships, Enterprise Sales, Strategic Partnerships, or a similar customer-facing role.
2. Demonstrated success sourcing, negotiating, and closing B2B partnerships or complex commercial deals.
3. Strong communication skills and ability to build credibility with senior decision-makers.
4. Comfortable discussing sensitive topics including privacy, security, confidentiality, and data ownership.
5. Ability to explain technical concepts in a clear and compelling way to non-technical audiences.
6. Strong discovery, qualification, and consultative selling skills.
7. Experience with outbound prospecting and pipeline development.
8. Proficiency with tools such as LinkedIn Sales Navigator, HubSpot or similar platforms.
9. Highly resourceful, execution-oriented, and comfortable operating in fast-moving environments.

1. Experience in AI, data, SaaS, marketplaces, or technology partnerships.
2. Experience working with SMBs, founders, and owner-operated businesses.
3. Familiarity with data licensing, data acquisition, or emerging AI infrastructure markets.

The national pay range for this full-time position is base salary of $110,000 –$130,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to .

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

Originally posted on Himalayas