Remote | Enterprise Client Partner, Frontier AI — $220,000–$400,000/year

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 environments, human-data pipelines, and enterprise partnerships. The successful candidate will engage with research, engineering, data, and procurement stakeholders, translate complex technical requirements into well-scoped programmes, negotiate high-value commercial agreements, and drive long-term expansion through deeper integration into AI evaluation and model-improvement workflows.

Key Responsibilities

Enterprise Client Acquisition

• Identify and develop high-value enterprise partnership opportunities
• Source prospective customers across advanced AI, ML, developer-tools, and research-driven organisations
• Build relationships with technical and commercial decision-makers
• Develop structured outbound strategies for complex enterprise accounts
• Progress opportunities from initial engagement through signed agreement

Frontier AI Partnerships

• Develop partnerships with organisations working on advanced AI and ML systems
• Engage with customers operating model-evaluation, benchmarking, and model-improvement workflows
• Understand technical requirements associated with frontier-model development
• Position human-data and evaluation programmes around customer needs
• Support long-term strategic relationships with sophisticated AI organisations

Technical Discovery

• Lead discovery conversations with research leads, ML engineers, data teams, and related stakeholders
• Understand evaluation workflows, model-improvement loops, and reinforcement-learning requirements
• Identify system-level constraints affecting programme design
• Translate technical requirements into clear commercial and operational scopes
• Surface dependencies, risks, and success criteria early in the sales process

Model Evaluation & RLHF Workflows

• Engage with customer needs involving model evaluation and human-feedback systems
• Develop understanding of RLHF and related reinforcement-learning workflows
• Scope programmes involving expert evaluation, preference data, and human-generated training data
• Help structure projects around measurable model-improvement objectives
• Collaborate with technical teams to ensure proposed solutions are realistic and valuable

Human Data Solutions

• Develop partnerships involving data generation, annotation, evaluation, and related workflows
• Understand human-data requirements across different model-development use cases
• Translate customer objectives into scalable data programmes
• Coordinate with internal teams on feasibility, quality requirements, and delivery structure
• Support expansion into additional human-data and evaluation use cases

Complex Deal Structuring & Negotiation

• Structure high-value agreements involving technical and operational complexity
• Manage commercial negotiations across multiple stakeholder groups
• Navigate enterprise procurement and approval processes
• Balance technical requirements with commercial terms and delivery considerations
• Drive opportunities toward efficient and successful closure

Stakeholder Management

• Build relationships across research, engineering, procurement, operations, and executive stakeholders
• Communicate effectively with both highly technical and commercial audiences
• Maintain alignment across complex buying groups
• Clarify responsibilities, requirements, and decision processes
• Maintain clear communication throughout long sales cycles

Cross-Functional Delivery Alignment

• Partner with product, research, operations, and technical teams during customer engagements
• Ensure programme design reflects customer expectations
• Translate commitments made during the sales process into actionable internal requirements
• Identify delivery risks before programme launch
• Support smooth handoff from commercial agreement to execution

Account Expansion

• Identify opportunities to expand existing customer relationships
• Develop deeper integration into customer evaluation pipelines
• Explore additional reinforcement-learning and human-data use cases
• Build strategic account plans based on customer research and technical priorities
• Support sustained commercial growth within high-value relationships

Pipeline & Deal Management

• Maintain clear visibility into sales pipeline quality
• Assess deal probability, commercial risk, and technical complexity
• Track account progression and key decision points
• Communicate pipeline insights to internal stakeholders
• Apply a structured and hypothesis-driven approach to opportunity management

Market & Customer Intelligence

• Capture insights from customer discussions
• Identify recurring technical and commercial needs
• Surface market trends affecting AI evaluation and human-data programmes
• Feed customer intelligence into product and go-to-market strategy
• Help refine positioning based on real market demand

Ideal Profile

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

Engagement Details

• Full-time engagement
• Fully remote
• Compensation: $220,000–$400,000/year
• Work will involve enterprise client acquisition, outbound prospecting, strategic partnerships, AI/ML technical discovery, model evaluation, reinforcement-learning workflows, human-data programmes, and complex enterprise negotiations
• Strong technical-commercial fluency is central to this role
• Responsibilities may involve engagement with research leads, ML engineers, data teams, procurement stakeholders, product teams, and executive decision-makers
• The role requires comfort operating across both technical and commercial discussions
• Project priorities, account portfolios, commercial strategies, and customer requirements 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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