XFORIA Inc

Compensation

Full Description

Job Title: Sales SME (AI Training) Location: Remote, US Mode: Contract Key Responsibilities ● Collaborate with AI and Data Teams: Work closely with data scientists and product managers to evaluate AI models used in prospecting, lead qualification, objection handling, negotiation, and closing. ● Model Evaluation & Improvement: Identify gaps, hallucinations, unnatural phrasing, and ineffective tactics in existing models and contribute domain insights to improve conversation quality and conversion potential. ● Validation: Validate AI outputs against real-world sales scenarios, psychological persuasion principles, and customer experience standards to ensure interactions feel human and authentic. ● Define Success Metrics: Define key metrics and success criteria to measure model performance regarding tone, empathy, objection recovery, and eventual deal progression. ● Data Annotation & Context: Support data labeling and annotation by providing specific context on sales stages (e.g., differentiating between a discovery question and a closing question) to refine training datasets. ● Framework Design: Assist in designing prompts and frameworks that allow the AI to adapt to different buyer personas and industries while maintaining consistency. ● Industry Trends: Stay current with evolving sales methodologies (e.g., SPIN, Challenger, Sandler), CRM technologies, and ethical standards in automated selling. Qualifications ● Education: Bachelor’s degree in Business Administration, Marketing, Communications, Psychology, or a related field. ● Experience: 7+ years of core sales experience (B2B Account Executive, Inside Sales, Sales Enablement, or Sales Leadership). ● Domain Knowledge: Strong understanding of the full sales funnel, pipeline management, CRM logic, and various sales techniques/methodologies. ● Analytical Mindset: Ability to objectively analyze conversation transcripts and identify why a pitch failed or succeeded. ● Collaboration: Experience collaborating with cross-functional teams (Engineering, Product, Marketing) is highly preferred.