Weekday, Inc. Logo

Weekday, Inc.

Sales and Marketing Expert

Posted 24 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

13 Minutes Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
130K-172K Annually
Senior level
130K-172K Annually
Senior level
Food • Software
Leads AI-driven revenue enablement programs for sales teams, using call, CRM, pipeline, and performance data to identify execution gaps and build workflows that improve rep productivity and behavior. Owns product launch enablement, everboarding, skills development, manager coaching, certifications, and process adoption. Measures impact through adoption, win rate, ACV, pipeline conversion, ramp time, and productivity metrics while partnering with Sales, Product Marketing, RevOps, and senior executives.
Top Skills: ClaudeGong AiGptNotion Ai
15 Minutes Ago
Easy Apply
Remote
USA
Easy Apply
254K-299K Annually
Senior level
254K-299K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Own the multi-year technical strategy and architecture for Coinbase’s enterprise IAM platform spanning human, AI agent, service, and workload identities. Drive adoption across 700+ systems, establish authentication and authorization standards, lead migrations and build-versus-buy decisions, automate audit and regulatory controls, reduce standing privilege, and mentor senior engineering talent. Partner across Security, Compliance, IT, Infrastructure, and product teams while influencing technical direction without direct authority.
Top Skills: AWSDistributed SystemsGenerative AiGoIamOauth 2.0OidcSAMLScimWorkload Identity Federation
15 Minutes Ago
Easy Apply
Remote
USA
Easy Apply
152K-179K Annually
Senior level
152K-179K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.
Top Skills: Build SystemsCi/CdDeployment OrchestrationObservabilitySlosTest Infrastructure

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account