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
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Identify and develop high-value enterprise partnership opportunities
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Source prospective customers across advanced AI, ML, developer-tools, and research-driven organisations
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Build relationships with technical and commercial decision-makers
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Develop structured outbound strategies for complex enterprise accounts
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Progress opportunities from initial engagement through signed agreement
Frontier AI Partnerships
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Develop partnerships with organisations working on advanced AI and ML systems
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Engage with customers operating model-evaluation, benchmarking, and model-improvement workflows
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Understand technical requirements associated with frontier-model development
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Position human-data and evaluation programmes around customer needs
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Support long-term strategic relationships with sophisticated AI organisations
Technical Discovery
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Lead discovery conversations with research leads, ML engineers, data teams, and related stakeholders
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Understand evaluation workflows, model-improvement loops, and reinforcement-learning requirements
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Identify system-level constraints affecting programme design
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Translate technical requirements into clear commercial and operational scopes
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Surface dependencies, risks, and success criteria early in the sales process
Model Evaluation & RLHF Workflows
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Engage with customer needs involving model evaluation and human-feedback systems
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Develop understanding of RLHF and related reinforcement-learning workflows
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Scope programmes involving expert evaluation, preference data, and human-generated training data
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Help structure projects around measurable model-improvement objectives
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Collaborate with technical teams to ensure proposed solutions are realistic and valuable
Human Data Solutions
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Develop partnerships involving data generation, annotation, evaluation, and related workflows
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Understand human-data requirements across different model-development use cases
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Translate customer objectives into scalable data programmes
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Coordinate with internal teams on feasibility, quality requirements, and delivery structure
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Support expansion into additional human-data and evaluation use cases
Complex Deal Structuring & Negotiation
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Structure high-value agreements involving technical and operational complexity
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Manage commercial negotiations across multiple stakeholder groups
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Navigate enterprise procurement and approval processes
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Balance technical requirements with commercial terms and delivery considerations
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Drive opportunities toward efficient and successful closure
Stakeholder Management
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Build relationships across research, engineering, procurement, operations, and executive stakeholders
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Communicate effectively with both highly technical and commercial audiences
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Maintain alignment across complex buying groups
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Clarify responsibilities, requirements, and decision processes
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Maintain clear communication throughout long sales cycles
Cross-Functional Delivery Alignment
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Partner with product, research, operations, and technical teams during customer engagements
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Ensure programme design reflects customer expectations
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Translate commitments made during the sales process into actionable internal requirements
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Identify delivery risks before programme launch
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Support smooth handoff from commercial agreement to execution
Account Expansion
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Identify opportunities to expand existing customer relationships
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Develop deeper integration into customer evaluation pipelines
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Explore additional reinforcement-learning and human-data use cases
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Build strategic account plans based on customer research and technical priorities
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Support sustained commercial growth within high-value relationships
Pipeline & Deal Management
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Maintain clear visibility into sales pipeline quality
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Assess deal probability, commercial risk, and technical complexity
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Track account progression and key decision points
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Communicate pipeline insights to internal stakeholders
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Apply a structured and hypothesis-driven approach to opportunity management
Market & Customer Intelligence
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Capture insights from customer discussions
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Identify recurring technical and commercial needs
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Surface market trends affecting AI evaluation and human-data programmes
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Feed customer intelligence into product and go-to-market strategy
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Help refine positioning based on real market demand
Ideal Profile
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Strong experience selling AI/ML, developer tools, infrastructure, data, or similarly technical products
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Demonstrated success closing complex enterprise deals
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Experience managing multi-stakeholder sales processes
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Ability to communicate credibly with ML engineers, research teams, and other technical stakeholders
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Familiarity with model evaluation
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Understanding of RLHF or reinforcement-learning environments
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Strong enterprise client-acquisition experience
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Experience with outbound prospecting and strategic account development
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Strong commercial negotiation skills
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Familiarity with enterprise procurement processes
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Experience structuring technically complex partnerships
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Strong analytical and hypothesis-driven approach to sales
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High level of ownership and comfort operating independently
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Strong written and verbal communication skills
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Ability to work effectively in ambiguous and rapidly changing environments
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Experience with human-data pipelines such as annotation, evaluation, synthetic data, or RLHF is advantageous
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Exposure to frontier-model development or benchmarking systems is valuable
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Prior work with AI labs, research organisations, or advanced ML teams is highly relevant
Engagement Details
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Full-time engagement
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Fully remote
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Compensation: $220,000–$400,000/year
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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
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Strong technical-commercial fluency is central to this role
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Responsibilities may involve engagement with research leads, ML engineers, data teams, procurement stakeholders, product teams, and executive decision-makers
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The role requires comfort operating across both technical and commercial discussions
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Project priorities, account portfolios, commercial strategies, and customer requirements may evolve based on market needs
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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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