Чётко описанная руководящая роль в передовой AI-компании даёт широкую зону ответственности и возможность с нуля выстроить функцию revenue operations.
Оплата выше рынка
Передовой AI
Функция с нуля
?Работа в офисе
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Head of Revenue Operations (AI): Architecting and owning the systems, processes, and data powering go-to-market operations across self-serve and enterprise AI products with an accent on CRM governance, complex usage-based pricing, billing integration, and revenue analytics. Focus on designing quote-to-cash infrastructure, implementing forecasting and compensation systems, automating revenue workflows with AI-assisted tooling, and building the revenue operations team.
Location: San Francisco, California, United States; onsite
Annual salary: $300,000–$350,000 USD, depending on background, skills, and experience.
Company
Thinking Machines Lab builds frontier AI models, tools that let people customize models, and interfaces for human-AI communication.
What you will do
Own the go-to-market systems strategy, roadmap, CRM, data governance, lead and account routing, and tool integrations.
Build deal desk infrastructure for quoting, approvals, and non-standard commercial terms.
Drive forecasting, go-to-market planning, segmentation, territories, capacity, quotas, and operating cadence with GTM and Finance leadership.
Design sales compensation plans and implement the commissions tool.
Build funnel, win-rate, expansion, churn, and self-serve customer analytics.
Design quote-to-cash, customer data, billing, and revenue-stack automation while building and leading the revenue operations team.
Requirements
12+ years of experience in revenue operations, sales operations, or go-to-market systems roles at high-growth SaaS, API, or infrastructure companies, including leading the revenue operations function.
Deep hands-on CRM administration experience covering pipeline management, forecasting, and reporting.
Experience supporting usage-based pricing with prepaid commitments, credits, and overages, as well as subscription or hybrid models.
Experience designing sales compensation plans and implementing a commissions tool.
Demonstrated experience personally building go-to-market processes and systems from scratch, leading full implementations from vendor selection and requirements through testing and rollout.
Strong SQL and data skills with the ability to build reporting and analysis independently.
Ability to operate independently, prioritize competing demands, and deliver hands-on work before building a team.
Active use of AI tools and enthusiasm for applying AI to go-to-market operations.
Exceptional written and verbal communication skills for credible partnership with go-to-market leaders and executives.
Nice to have
Experience with HubSpot, Ironclad, Metronome, Stripe, Anrok, ERPs, or Hex.
Experience supporting both product-led and sales-led motions, including usage-based expansion.
Experience at a frontier AI lab, developer platform, or enterprise SaaS organization with complex, multi-product revenue models.
Familiarity with how deal structure affects revenue recognition.
Culture & Benefits
Full-time onsite role based in San Francisco.
Generous health, dental, and vision benefits.
Unlimited PTO and paid parental leave.
Relocation support as needed.
Visa sponsorship is available, subject to fit and successful processing.
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