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Sales Engineering Expert - Evaluator
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-08-11
Listing for:
Mercor
Full Time
position Listed on 2026-08-11
Job specializations:
-
IT/Tech
Technical Sales
Job Description & How to Apply Below
1.
Role Overview
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
- 4+ years of relevant experience as a Sales Engineer, Solutions Engineer, Solutions Consultant, Pre‑Sales Consultant, or Technical Sales Consultant
- Deep fluency in the pre‑sales craft: leading technical discovery, translating customer requirements into product solutions, delivering tailored demos, handling technical objections, supporting proofs of concept, and evaluating product fit and technical risk
- 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
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