[Hiring] Enterprise Client Partner @24-MAG

Role Description

We are sharing a full-time opportunity for an experienced enterprise sales and strategic partnerships professional with strong expertise in AI/ML, technical discovery, enterprise procurement, client acquisition, and complex solution selling to develop high-value partnerships with advanced AI organisations and technically sophisticated enterprise teams.

The role sits at the intersection of frontier AI, model evaluation, reinforcement-learning workflows, human-data programmes, and enterprise partnerships. The successful candidate will engage research, engineering, data, procurement, and executive stakeholders, translate technical requirements into well-scoped programmes, negotiate complex commercial agreements, and expand strategic customer relationships.

Key Responsibilities

• Enterprise Sales & Strategic Partnerships
  • Identify and develop high-value opportunities across AI, ML, developer-tools, infrastructure, and research-driven organisations
  • Build relationships with technical and commercial decision-makers
  • Lead outbound prospecting, strategic account development, and complex enterprise sales cycles
  • Progress opportunities from initial engagement through negotiation and signed agreement
  • Develop long-term partnerships with advanced AI and ML organisations
• Technical Discovery & Solution Design
  • Lead discovery with research leads, ML engineers, data teams, procurement, and related stakeholders
  • Understand model-evaluation, reinforcement-learning, RLHF, and human-data requirements
  • Translate technical objectives into clear commercial and operational programme scopes
  • Identify constraints, dependencies, risks, quality requirements, and success criteria
  • Coordinate with internal technical and operations teams to ensure proposed solutions are realistic and scalable
• Commercial Negotiation & Delivery Alignment
  • Structure and negotiate high-value agreements involving technical and operational complexity
  • Navigate enterprise procurement and multi-stakeholder approval processes
  • Balance commercial terms with technical requirements and delivery considerations
  • Translate customer commitments into actionable internal requirements
  • Support smooth handoff from commercial agreement through programme execution
• Account Growth & Market Intelligence
  • Expand existing relationships into additional evaluation, reinforcement-learning, and human-data use cases
  • Build strategic account plans based on customer research priorities
  • Track pipeline quality, commercial risk, technical complexity, and key decision points
  • Capture recurring customer needs and market trends
  • Feed customer insights into product, partnership, and go-to-market strategy

Qualifications

• Strong experience selling AI/ML, developer tools, infrastructure, data, or similarly technical products
• Demonstrated success closing complex enterprise deals
• Experience managing multi-stakeholder sales and procurement processes
• Ability to communicate credibly with ML engineers, research teams, and technical leaders
• Familiarity with model evaluation, RLHF, or reinforcement-learning workflows
• Strong enterprise client-acquisition, outbound prospecting, and strategic-account experience
• Strong commercial negotiation and partnership-structuring skills
• Analytical and hypothesis-driven approach to sales
• High ownership and comfort operating independently in ambiguous environments
• Strong written and verbal communication skills
• Experience with human-data pipelines, annotation, evaluation, synthetic data, or RLHF is advantageous
• Exposure to frontier-model development, benchmarking systems, AI labs, or advanced research teams is highly relevant

Engagement Details

• Full-time engagement
• Fully remote
• Compensation: $220,000–$400,000/year
• Work will involve enterprise client acquisition, strategic partnerships, AI/ML technical discovery, model evaluation, reinforcement-learning workflows, human-data programmes, and complex commercial negotiations
• Strong technical-commercial fluency is central to this role
• Responsibilities may involve research leads, ML engineers, data teams, procurement, product teams, and executive stakeholders
• Account portfolios, commercial strategies, customer requirements, and project priorities may evolve based on market needs
• Work must be completed without using confidential, proprietary, restricted, customer-identifiable, non-public commercial, research, or technical information belonging to any employer, client, prospect, research organisation, AI lab, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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