Evaluate and improve AI-generated enterprise sales workflows, create gold-standard examples for prospecting through proposals, design evaluation rubrics, perform simulated end-to-end sales tasks in modern platforms, produce executive-facing sales materials, and collaborate with researchers and SMEs to enhance AI sales reasoning.
This role is for one of our clients
Compensation: $60-$90 per hour
RequirementsKey Responsibilities
- Evaluate multi-step enterprise sales workflows and determine whether AI-generated outputs reflect real-world best practices.
- Identify gaps, inaccuracies, and missed opportunities in AI-generated sales processes while providing clear, actionable feedback.
- Develop high-quality reference ("gold standard") examples covering activities such as:
- Prospecting
- Lead qualification
- Pipeline management
- CRM maintenance
- Customer communications
- Sales reporting
- Proposal and presentation development
- Help design and refine evaluation frameworks and scoring rubrics that accurately measure AI performance in enterprise sales scenarios.
- Perform end-to-end sales workflows within simulated enterprise environments using modern sales and productivity platforms.
- Produce polished, customer-facing sales materials including presentations, proposals, executive summaries, and account documentation.
- Collaborate with research teams and fellow subject matter experts to improve AI reasoning and decision-making across sales use cases.
- Approximately 10 years of professional experience in enterprise sales with extensive exposure to the complete sales lifecycle.
- Proven history of consistently achieving or exceeding sales quotas.
- Experience as an individual contributor, sales manager, director, or executive overseeing enterprise sales organizations.
- Strong expertise in:
- CRM administration
- Sales operations
- Pipeline management
- Forecasting
- Sales reporting
- Customer relationship management
- Hands-on experience using enterprise sales tools such as:
- Salesforce
- Jira
- Confluence
- Google Workspace
- Microsoft Office
- Comfortable working with additional collaboration and sales platforms including Slack, HubSpot, Notion, Aircall, Stripe, Intercom, Zoho, and Microsoft Teams.
- Excellent written communication skills with the ability to produce executive-level customer-facing documents.
- Strong analytical thinking and attention to detail.
- Experience working within AI-powered B2B SaaS organizations, digital marketplaces, or performance-driven enterprise sales environments.
- Familiarity with outcome-based sales campaigns and KPI tracking, including metrics such as customer engagement, conversions, installations, and sign-ups.
- Experience coordinating workflows across integrated business platforms such as Zoho CRM, Freshdesk, Jira, Confluence, Microsoft Teams, and Google Workspace.
- Ability to quickly adapt to new enterprise software platforms and evolving business workflows.
- Full-time remote opportunity within the United States.
- Work closely with AI researchers and domain experts to improve enterprise sales intelligence.
- Contribute to projects that directly influence the development of next-generation AI systems.
- Long-term engagement based on project requirements and performance.
We are committed to creating an inclusive workplace and welcome applications from qualified professionals regardless of legally protected characteristics. Reasonable accommodations are available throughout the application and engagement process upon request.
Similar Jobs
Fintech • Financial Services
Serve as a frontline Personal Banker building customer relationships, supporting account openings, cash handling and teller activities, processing service requests and credit applications, and promoting banking products. Use digital tools, follow compliance and risk controls, coordinate referrals to specialists, and support branch growth through proactive outreach and teamwork.
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Provide analytics and insights to Enterprise Procurement by analyzing large datasets, developing dashboards, leading project workstreams, presenting recommendations to stakeholders, improving reporting infrastructure, and mentoring teammates. Identify expense-saving opportunities, assess tools/processes, and apply analytic methods and AI/GenAI where appropriate.
Top Skills:
Ai/GenaiDatabricksDaxEmblemExcelPower BIPowerPointPythonSASSnowflakeSQL
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Sell FourKites SaaS supply chain and logistics solutions to new and existing Fortune 1000 accounts. Manage 15-25 accounts, exceed quota, develop strategic account plans, map solutions to customer SOPs, coordinate cross-functional GTM efforts, update Salesforce, and leverage internal AI tools to drive growth and expanded ARR.
Top Skills:
Fourkites Ai ToolsLinkedin Sales NavigatorSaaSSalesforceZoominfo
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



