11 часов назад
Finance & Strategy, Compute Accelerator (AI)
190 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Finance & Strategy, Compute Accelerator (AI): Building financial models and planning frameworks for cloud accelerator infrastructure and AI compute investments with an accent on forecasting, cost-driver analysis, and compute economics. Focus on analyzing model-training economics, optimizing accelerator contracts and capacity plans, and translating engineering and research dynamics into actionable financial decisions.
Location: San Francisco, CA; hybrid policy requiring staff to work from an Anthropic office at least 25% of the time
Annual salary: $190,000–$240,000 USD
Company
Anthropic is a San Francisco-headquartered public benefit corporation building reliable, interpretable, and steerable AI systems.
What you will do
- Lead budgeting, monthly forecasting, variance analysis, and financial planning for cloud accelerator compute spend.
- Build bottoms-up financial models covering infrastructure costs, long-range forecasts, cost drivers, and investment scenarios.
- Analyze compute contracts, pricing structures, chip economics, and infrastructure optimization opportunities.
- Own the source of truth for Anthropic’s compute capacity plan and plan of record.
- Analyze the economics and ROI of model training and research compute across training sizes, chip types, and data.
- Partner with engineering and research teams to translate training and reinforcement learning dynamics into financial frameworks.
Requirements
- Exceptional analytical, problem-solving, critical-thinking, communication, and relationship-building skills.
- Demonstrated experience developing complex financial operating models and driving financial optimization with technical teams.
- Background in AI, machine learning, or large-scale high-performance computing infrastructure, including data centers or cloud providers.
- 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking.
- 3+ years of experience in cloud infrastructure financial management.
- Bachelor’s degree or equivalent relevant education, training, or experience.
Nice to have
- Direct experience with AWS, GCP, or Azure.
- MBA or advanced degree in finance, economics, or business.
- Expertise in cloud provider economics, contract structures, and pricing models.
- Experience with chip architecture economics and optimization strategies.
- Proficiency with SQL, Python, Excel, and financial modeling tools such as Pigment.
Culture & Benefits
- Collaborative research environment focused on a small number of large-scale AI efforts.
- Flexible working hours and an office designed for collaboration.
- Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
- Visa sponsorship is available, although sponsorship cannot be guaranteed for every role or candidate.
- Immigration lawyer support is available for sponsored candidates.
Hiring process
- Candidates may use AI during the application process according to Anthropic’s candidate AI usage policy.
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