Sales Engineering Expert

DESCRIPTION

Mercor is partnering with a leading AI research organization to engage experienced sales engineers for a project focused on evaluating how well AI systems perform real-world technical sales work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications. 2. Key Responsibilities Design precise, task-specific grading criteria for real-world pre-sales and solutions-engineering deliverables (technical discovery plans, tailored product demonstrations, proof-of-concept and technical evaluation plans, security questionnaires and RFP responses, integration/API/architecture explanations, and product-fit and technical-risk assessments) Score AI-generated and human work samples against those criteria, with detailed written justifications for every score Apply consistent, evidence-based judgment so scores are reproducible and defensible Incorporate structured feedback from senior reviewers and iterate quickly on your work 3. Ideal

REQUIREMENTS

• ▸4+ years of relevant experience as a Sales Engineer, Solutions Engineer, Solutions Consultant, Pre-Sales Consultant, or Technical Sales Consultant
• ▸Hands-on experience with technically complex B2B software — SaaS, cloud infrastructure, cybersecurity, data platforms, developer tools, or enterprise applications
• ▸Exceptionally strong written communication, with the ability to explain exactly why a piece of technical work would or would not land with both technical and business stakeholders
• ▸Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
• ▸Prior experience with AI training, evaluation, or human-data projects is a strong plus
• ▸4. Application Process
• ▸Submit your resume or relevant professional background to get started
• ▸Qualified applicants may be asked to complete a brief assessment or submit additional information

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