Weekday, Inc. Logo

Weekday, Inc.

Sales and Marketing Expert

Posted 29 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
60-70 Hourly
Senior level
Remote
Hiring Remotely in United States
60-70 Hourly
Senior level
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.
The summary above was generated by AI

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.
Ideal Qualifications
  • 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.
Application Process
  • 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.
Engagement Details
  • 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.
Equal Opportunity

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

31 Seconds Ago
Remote
United States
141K-176K Annually
Senior level
141K-176K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Assess product and application architectures, develop threat models, identify security risks, and guide engineering teams on remediation. Promote security culture through training, mentoring, vulnerability management, and internal security initiatives. Build security tooling, automation, patterns, and workflows that embed secure-by-design practices across engineering. Partner with product managers, designers, and engineers to secure complex, large-scale cloud systems.
Top Skills: CContainerizationContinuous DeliveryContinuous IntegrationGoJavaScriptOwaspRustVirtualization
3 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
98K-140K Annually
Senior level
98K-140K Annually
Senior level
Fintech • HR Tech
Drive people operations for assigned small business clients: lead hiring, onboarding, performance and compliance; advise leadership on workforce planning, org design, succession, and development; administer HR data, payroll/benefits support, and deliver excellent client service while leveraging HR technology and analytics.
Top Skills: AsanaGoogle SuiteHr SoftwareSlackZoom
4 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
125K-145K Annually
Mid level
125K-145K Annually
Mid level
Logistics • Marketing Tech • Software
Owns revenue operations strategy and GTM planning, including forecasting, annual planning, business reviews, incentive design, analytics, KPI dashboards, and performance insights. Partners with Finance, Product, and Operations to improve sales productivity, align headcount with revenue goals, and execute multi-quarter strategic workstreams. The role translates complex data into leadership recommendations and manages cross-functional projects in a fast-paced environment.
Top Skills: BiCRMData Warehouse ToolsLookerOmniSalesforceSQLTableau

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account