Huzzle Ltd Logo

Huzzle Ltd

Account Executive - Quickbooks Experience

Posted 11 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Georgia, USA
Senior level
In-Office or Remote
Hiring Remotely in Georgia, USA
Senior level
Create and evaluate complex sales scenarios for frontier AI systems using QuickBooks expertise. Develop pricing quotes, commission calculations, pipeline and forecast reports, scoring rubrics, spreadsheets, proposals, and email sequences. Review AI outputs for logical, mathematical, and professional accuracy, and produce gold-standard examples. Requires substantial sales experience, hands-on QuickBooks use, strong analytical ability, precise attention to detail, and a two-week full-time commitment.
The summary above was generated by AI
About Huzzle

At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.

Job Type: Part-time / Short-term Contract (40 hours per week for 2 weeks)

Engagement: Independent Contractor


Job Summary

This team is on a mission to stress-test the next generation of frontier AI systems to see if they can handle the rigors of real-world sales operations. We are looking for a seasoned Account Executive with deep QuickBooks expertise to serve as a subject matter expert. In this role, you won't just be selling; you will be the "manager" and "adversary" for the world’s most advanced AI models. Your goal is to design complex sales scenarios that challenge these systems and develop the grading rubrics used to evaluate their performance. If you are a sales pro who knows how to spot a mistake in a quote from a mile away, your expertise is needed to shape the future of AI in business.

Key Responsibilities
  • Create realistic, high-difficulty sales prompts based on real-world scenarios a sales manager, customer, or business owner would encounter.
  • Develop complex tasks including tiered pricing quotes, commission calculations, and converting QuickBooks sales exports into pipeline/forecast reports.
  • Run prompts against frontier AI models and perform "manager-level" reviews of the output to identify errors in logic, math, or professional tone.
  • Author objective scoring rubrics for each task, ensuring that other reviewers can consistently grade the AI's output based on pass/fail criteria (e.g., "The quote does not exceed the 15% discount cap").
  • Produce working deliverables such as spreadsheets, proposals, and email sequences that serve as "Gold Standard" examples for the AI to follow.

Requirements
  • 5+ years of experience in Sales, Account Management, or Sales Operations with a proven track record of hitting targets.
  • 3-4+ years of hands-on experience using QuickBooks (Online or Desktop) for estimates, invoicing, customer records, and sales reporting.
  • Precise attention to detail and excellent written English skills.
  • Ability to commit to 40 hours per week for a high-intensity 2-week engagement.
  • Strong analytical mindset with the ability to break down complex sales workflows into objective, checkable steps.

Nice-to-Haves

  • Prior experience in AI data annotation or prompt engineering.
  • Experience in sales coaching or managing junior reps (reviewing their work for accuracy).
  • Technical proficiency in spreadsheet modeling and data visualization.

Similar Jobs

4 Days Ago
In-Office or Remote
USA
215K-358K Annually
Senior level
215K-358K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.
Top Skills: Ai PlatformsBusiness IntelligenceDashboardsData ContractsData FabricData VisualizationEvent TaxonomyExperimentationKnowledge GraphsKpi FrameworksOkr PlatformsProduct AnalyticsTelemetry
4 Days Ago
In-Office or Remote
USA
163K-272K Annually
Senior level
163K-272K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads product strategy, roadmap, lifecycle ownership, adoption, and measurable outcomes for a greenfield enterprise AI platform. Defines platform boundaries, governance controls, evaluation, registration, and cost-tracking capabilities while translating evolving risk, privacy, security, and GxP requirements into usable product features. Partners with engineering, design, legal, compliance, risk, security, and global agent-building teams to prioritize investments, guide delivery, communicate direction, and drive platform adoption.
Top Skills: AgileAIAi AgentsAi GovernanceGxpLeanModel Evaluation
5 Days Ago
In-Office or Remote
Site of Old Bullion, NV, USA
177K-294K Annually
Senior level
177K-294K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build, test, and ship production-grade full-stack software and AI-powered systems for Pfizer’s Medical Affairs portfolio. Integrate LLMs, agentic AI, and RAG pipelines; develop scalable systems from prototypes through production; optimize prompts for cost, latency, and quality; integrate enterprise platforms; and monitor AI/ML performance. Collaborate with architecture, product, UX, and data engineering teams while maintaining strong code quality, documentation, testing, and verification practices.
Top Skills: Agentic AiAgileApi-First DesignAWSAzureCi/CdGdprGxpHipaaLlmopsLlmsMlopsRagSalesforce Life Sciences CloudSalesforce Marketing CloudScrumVector DatabasesVeeva Crm

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