Develop realistic enterprise GTM scenarios and evaluation rubrics for Fortune 500 sales and marketing contexts. Create deal strategies, account plans, marketing and RevOps scenarios using enterprise platforms, apply established sales methodologies, produce executive-level narratives, and refine evaluation outputs through reviewer feedback.
This role is for one of our clients
Compensation: $60-$70 per hour
We are seeking experienced senior sales and marketing professionals to contribute to an AI evaluation initiative focused on real-world Fortune 500 go-to-market environments.
The work is designed around the deal complexity, stakeholder dynamics, commercial processes, and brand considerations found within Fortune 500 and large public companies. Contributors will create realistic enterprise GTM scenarios, develop high-quality reference outputs, and build evaluation rubrics that capture how experienced sales and marketing leaders make decisions.
RequirementsKey Responsibilities
- Develop enterprise sales scenarios involving $1M+ ACV opportunities, complex buying committees, multiple stakeholders, and lengthy procurement cycles within Fortune 500 accounts.
- Create marketing scenarios covering enterprise brand strategy, account-based marketing (ABM), demand generation, lifecycle marketing, and category positioning.
- Develop Revenue Operations and GTM scenarios using enterprise platforms such as Salesforce, Marketo, 6sense, Gong, and Outreach.
- Apply established enterprise sales methodologies, including MEDDIC, Challenger, and Force Management, to develop realistic deal strategies and account plans.
- Create executive-level sales narratives, customer engagement strategies, and go-to-market recommendations.
- Develop detailed evaluation rubrics that distinguish genuine enterprise GTM expertise from generic sales or marketing playbook knowledge.
- Review and refine scenarios and reference outputs to ensure they accurately reflect real-world enterprise practices.
- Incorporate reviewer feedback and continuously improve the quality, consistency, and relevance of evaluation criteria.
- 5+ years of professional experience in enterprise sales, marketing, or Revenue Operations.
- Experience working for a Fortune 500 enterprise technology company, major SaaS organization, or large public-company sales or marketing organization.
- Direct experience managing Fortune 500 accounts, enterprise sales cycles, major brand initiatives, or large-scale demand-generation programs.
- Strong understanding of enterprise buying processes, procurement, budgeting, legal review, stakeholder management, and complex commercial negotiations.
- Hands-on familiarity with enterprise GTM technologies and platforms, including CRM, marketing automation, sales engagement, conversation intelligence, and account-intelligence tools.
- Strong knowledge of enterprise sales methodologies such as MEDDIC, Challenger, or Force Management.
- Excellent written communication and analytical skills, with the ability to clearly explain strategic decisions and commercial reasoning.
- Experience creating sales enablement materials, evaluation frameworks, training content, or professional development programs is a plus.
- Prior experience with AI training, evaluation, rubric development, or human-data projects is advantageous.
- Submit your resume or relevant professional background to get started.
- Qualified applicants may be asked to complete a brief assessment or provide additional information about their enterprise sales or marketing experience.
- Selected contributors may receive onboarding and calibration guidance before beginning project work.
- Remote, flexible engagement.
- Work is structured around project-based AI evaluation and research initiatives.
- Project scope and duration may vary based on business and research requirements.
- Strong contributors may have opportunities to participate in additional evaluation, reviewer, or subject-matter-expert projects.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract and Payment Terms- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects may be extended, shortened, or concluded early depending on project requirements and performance.
- Your work will not involve access to confidential or proprietary information from any current or former employer, client, or institution.
- Payments are made weekly through Stripe or Wise based on services rendered.
- H-1B and STEM OPT candidates are not currently supported for this opportunity.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads a regional presales Solution Consulting team supporting customer discovery, presentations, demonstrations, proofs of concept, value articulation, and solution commitment. Responsibilities include coaching and developing consultants, recruiting, resource allocation, sales opportunity prioritization, training, performance evaluation, demand-generation support, and daily operational management. The role requires strong presales leadership, Japanese market expertise, SaaS and PaaS knowledge, solution selling experience, and familiarity with AI-enabled workflows.
Top Skills:
AICloudPaasSaaSServicenow Ai Platform
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, assess customers’ insurance needs, recommend appropriate Property and Casualty coverage, and convert prospects into policyholders. Complete paid training and licensing, maintain strong customer relationships, meet sales goals, and work a rotating schedule of four weekdays and one weekend day in a remote environment.
Top Skills:
PcWired High-Speed Internet
Software • Analytics • Hospitality
Supports cross-channel marketing attribution and influence modeling by documenting data sources, defining business rules, mapping and normalizing interaction data, testing reporting prototypes, and recommending implementation steps. The intern also assists with AWS marketing data organization, segmentation research, data hygiene, process documentation, and stakeholder communications. The role requires analytical thinking, thorough documentation, clear communication, and collaboration across marketing and technical teams.
Top Skills:
AWSData ModelingData VisualizationHubspotMarketing AutomationSalesforceSpreadsheetsSQL
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
