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
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 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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