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Salary
$110k – $130k per year
Location
Remote (likely Albania)
Seniority
Middle · 3+ years exp
Employment
Full-Time

First seen by Alion on Oct 13, 2026.

Overview
Company
Impact
Profile match
Headquartered in Nairobi, Kenya, Recruitment Room is a global human resources technology and workforce solutions enterprise. The company provides an international employment platform encompassing Employer of Record (EOR) services, global talent acquisition, multi-currency payroll processing, contractor management, and an integrated Human Resource Information System (HRIS). By leveraging AI-powered matching tools and local legal compliance infrastructure across international markets, it enables startups, remote-first businesses, and growing enterprises to recruit, onboard, and manage cross-border teams.

Data Partnerships Manager

Employment Type: Full-time

Work Arrangement: Remote

Compensation

Annual Base Salary: $110,000-$130,000

Additional Compensation: Equity compensation and potential performance-based bonuses, subject to company policies.

Benefits: Health insurance premium reimbursement, paid time off, 401(k) with company match, and additional employee benefits.

About the Role

We are seeking an experienced Data Partnerships Manager to identify, develop, negotiate, and close partnerships with companies that can contribute operational workflow data for AI training and evaluation.

You will manage the partnership lifecycle from prospecting and initial engagement through discovery, commercial negotiations, and partner onboarding. This includes understanding business workflows, explaining how workflow data supports AI development, and addressing privacy, security, data ownership, and compliance considerations.

This role is suited to a commercially driven professional with a strong background in B2B business development, strategic partnerships, or enterprise sales who can build relationships with senior decision-makers and close complex commercial agreements.

Key Responsibilities

Partnership Development & Prospecting

  • Identify and engage companies with valuable operational workflows across multiple industries.

  • Build relationships with founders, executives, and operational leaders.

  • Conduct outbound prospecting and develop a pipeline of qualified partnership opportunities.

  • Assess prospective partners based on workflow relevance, data availability, and potential partnership value.

Discovery & Partner Engagement

  • Lead discovery conversations to understand business processes, workflow complexity, and partnership potential.

  • Explain how operational workflow data can be used to train and evaluate AI systems.

  • Communicate technical concepts clearly to non-technical stakeholders.

  • Establish credibility with senior decision-makers and understand their commercial objectives.

Commercial Negotiations & Closing

  • Develop partnership structures that align partner objectives with AI customer requirements.

  • Lead negotiations covering commercial terms and partnership agreements.

  • Address questions concerning privacy, security, confidentiality, anonymization, data ownership, and compliance.

  • Manage opportunities through qualification, negotiation, and successful agreement closure.

Partner Onboarding & Program Development

  • Coordinate with internal operations, product, and data teams to onboard new partners.

  • Ensure partnership requirements and agreed workflows are communicated clearly to relevant teams.

  • Develop repeatable acquisition strategies, outreach messaging, and partnership playbooks.

  • Identify opportunities to improve the partnership process as the program expands.

Required Qualifications

  • At least 3 years of experience in business development, partnerships, enterprise sales, strategic partnerships, or a similar customer-facing role.

  • Demonstrated success sourcing, negotiating, and closing B2B partnerships or complex commercial deals.

  • Strong relationship-building and communication skills, particularly with senior decision-makers.

  • Experience with outbound prospecting, opportunity qualification, and pipeline development.

  • Strong discovery and consultative selling capabilities.

  • Ability to discuss privacy, security, confidentiality, data ownership, and related concerns.

  • Ability to explain technical concepts clearly and persuasively to non-technical audiences.

  • Proficiency with LinkedIn Sales Navigator, HubSpot, or similar prospecting and customer relationship management tools.

  • Resourcefulness, strong execution skills, and the ability to operate in a fast-moving environment.

Preferred Qualifications

  • Experience in AI, data, SaaS, technology, or marketplace partnerships.

  • Experience working with small and medium-sized businesses, founders, and owner-operated companies.

  • Familiarity with data licensing, data acquisition, or AI infrastructure markets.

  • Experience developing repeatable partnership acquisition processes and commercial playbooks.

Key Skills

  • Strategic Partnerships

  • Data Partnerships

  • Business Development

  • B2B Sales

  • Enterprise Sales

  • Outbound Prospecting

  • Lead Generation

  • Partnership Sourcing

  • Discovery & Qualification

  • Consultative Selling

  • Commercial Negotiation

  • Deal Closing

  • Pipeline Management

  • Stakeholder Engagement

  • Data Acquisition

  • Data Licensing

  • Data Privacy & Security

  • Confidentiality & Data Ownership

  • LinkedIn Sales Navigator

  • HubSpot

  • Partner Onboarding

Work Environment

This is a remote, full-time position focused on building and expanding partnerships that support AI training and evaluation.

You will work across business development, commercial negotiations, and internal partner onboarding, collaborating with operations, product, and data teams to turn qualified opportunities into successful partnerships.

What Success Looks Like

Success means building a strong pipeline of qualified companies, establishing trusted relationships with decision-makers, negotiating commercially viable agreements, and onboarding partners whose operational workflows meet project needs.

You should also help create repeatable acquisition processes that support consistent partnership growth while addressing data privacy, security, and ownership considerations.

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