Enterprise Sales Domain Expert

• Review multi-step enterprise sales workflows and judge whether the AI handled them the way a strong seller would, flagging what is off and why.
• Work real sales tasks end-to-end — prospecting, pipeline management, CRM hygiene, reporting, and customer-facing documents — to create the expert reference examples the model is trained on.
• Pressure-test and refine the rubrics used to score AI outputs so they capture what actually separates great selling from average.
• Operate inside test environments that mirror a real sales tech stack, completing and simulating workflows across CRM, communication, and billing tools.
• Create polished, customer-facing materials — pitches, slide decks, and summaries — at the quality a senior sales leader would put their name on.

• Around 10 years of hands-on experience selling in enterprise environments, with a real feel for the full sales cycle.
• A consistent track record of meeting or exceeding your sales quota, which you can speak to in specifics.
• Day-to-day fluency with the standard enterprise stack (Salesforce, Jira, Confluence, Google Workspace, and Microsoft Office), and the comfort to pick up tools like Slack, HubSpot, Notion, Aircall, Stripe, Intercom, Zoho, and Microsoft Teams.
• Genuine depth in CRM administration, sales process management, pipeline tracking, and data-driven reporting.
• Strong writing and a good eye for polish — you can turn a complex situation into a clear, professional, customer-facing artifact.

• Experience working within or alongside a two-sided, AI-powered B2B SaaS creator marketplace — for example, running outcome-based campaigns against contracted performance targets (tracking views, engagement, installs, and sign-ups in real time) and troubleshooting across a connected stack such as Zoho CRM, Jira, Confluence, Freshdesk, Microsoft Teams, and Google Workspace.

RequiredAlso useful

Project and contracting process: Mercor. Applications continue on the provider's website.