Remote | Enterprise Client Partner, Frontier AI — $220,000–$400,000/year
About The Position
This is a full-time, fully remote opportunity for an experienced enterprise sales and strategic partnerships professional. The role develops high-value partnerships with advanced AI organisations and technically sophisticated enterprise teams, working across frontier AI, model evaluation, reinforcement-learning workflows, human-data programmes, and enterprise partnerships. The successful candidate engages research, engineering, data, procurement, and executive stakeholders; translates technical requirements into well-scoped programmes; negotiates complex commercial agreements; and expands strategic customer relationships. The work includes enterprise client acquisition, strategic partnerships, AI/ML technical discovery, model-evaluation and reinforcement-learning workflows, human-data programmes, and complex commercial negotiations. Strong technical-commercial fluency is central. Account portfolios, commercial strategies, customer requirements, and project priorities may evolve with 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. The opportunity is available through 24-MAG LLC, which connects experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
Requirements
- 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.
Nice To Haves
- Experience with human-data pipelines, annotation, evaluation, synthetic data, or RLHF.
- Exposure to frontier-model development, benchmarking systems, AI labs, or advanced research teams.
Responsibilities
- 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.
- 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.
- 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.
- 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.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
