Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это четко описанная первая роль Deal Desk в хорошо финансируемом AI-стартапе с заметной самостоятельностью и измеримым влиянием, но создание функции с нуля означает высокую ответственность и неопределенность.
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Функция с нуляПонятные результатыСильное финансированиеСфера AI
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Deal Desk Analyst (AI): Building Netic's deal desk, pricing policies, approval processes, and commercial models for an AI SaaS business with an accent on deal economics, discounting, gross margin, and contract structure. Focus on designing approval guardrails, analyzing pricing and win-rate patterns, automating CPQ workflows, and helping sales leaders structure complex multi-location deals.
Location: San Francisco, United States. On-site.
Company
hirify.global is an AI revenue engine for essential services, helping companies book jobs across service industries in North America. The company has raised $43M and brings frontier AI to the physical economy.
What you will do
Build the Deal Desk from zero, including the approval matrix, deal review process, pricing playbook, and turnaround-time standards.
Review and structure non-standard deals involving discounts, ramps, pilots, multi-year terms, payment terms, and usage-based or per-location pricing.
Model deal and portfolio economics, including discount, gross margin, payback, and expected expansion.
Analyze discounting, win rates, and deal velocity by segment, deal size, and sales representative; recommend list-price, packaging, and promotion changes with Product and leadership.
Partner with Finance and Legal on contract terms and revenue recognition, and establish quote and CPQ standards with Sales Operations and Sales Systems.
Coach account executives on deal structures for large multi-location operators and private-equity-backed platforms.
Requirements
3+ years of experience in deal desk, pricing, revenue operations, FP&A, or a similar commercial role; consulting or banking backgrounds are welcome.
Strong quantitative skills and advanced Excel or Google Sheets; willingness to build models independently.
Working knowledge of SaaS contract terms and revenue recognition basics.
Experience building a process or policy from scratch and gaining adoption from sales leaders.
Judgment to reject unsuitable deals with a better alternative and credibility to maintain that position with executives.
A degree in economics, finance, engineering, or another quantitative field, or equivalent experience.
Nice to have
SQL experience.
Experience with Salesforce CPQ, DealHub, or similar quoting tools.
Experience pricing usage-based or AI products.
Experience using AI coding assistants to automate business processes or build internal tools.
Culture & Benefits
Customer-focused, detail-oriented, self-directed working style.
Emphasis on speed, removing blockers, and seeking and speaking the truth.
Equal opportunity employment without discrimination based on legally protected characteristics.
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