Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Strategic Finance Professional (AI): Owning the economics, pricing, forecasting, and capacity planning for AI model training and new product lines with an accent on unit economics, cost-to-serve modeling, and product finance. Focus on building financial models from raw usage and cost data, recommending go/no-go decisions, and defining pricing, packaging, and scale criteria for products from concept to launch.
Location: San Francisco or New York with a hybrid work arrangement; remote work is also listed.
Salary: $205,000–$248,000 annually, plus equity.
Company
Baseten provides AI inference infrastructure and developer tooling that help AI companies bring machine-learning models into production.
What you will do
- Own the economics of Training engagements, including compute, delivery time, reserved capacity, utilization, margins, pipeline, and renewals.
- Build and maintain cost-to-serve models, forecasts, annual plans, unit-cost analyses, and multi-year P&L models.
- Develop pricing structures for committed engagements, usage-based pricing, and packaged offerings.
- Partner with Product, Engineering, Infrastructure, and GTM leadership on new products from concept through launch and scale.
- Build pre-launch business cases, provide go/no-go recommendations, and define launch success metrics and scale criteria.
- Run monthly Training business reviews covering bookings, utilization, margin, pipeline, and expansion trends.
Requirements
- Bachelor’s degree in Business Administration, Finance, or Economics.
- 5+ years of experience in strategic finance at a high-growth company, PE/VC investing, and/or investment banking.
- Strong financial modeling and analytical skills, including unit economics and cost-to-serve models built from raw usage and cost data.
- Ability to synthesize complex information into clear executive recommendations and make decisions with incomplete data.
- Strong communication, presentation, attention to detail, ownership, and execution skills.
- Advanced Excel and Google Sheets skills; familiarity with SQL or BI tools is a plus.
Nice to have
- Experience with GPU compute economics or cloud infrastructure.
- Understanding of ML model training and fine-tuning.
- Experience with product-led growth economics, including free tiers, credits, and conversion.
- Experience pricing or launching a new product line.
- Experience at a usage-based company.
Culture & Benefits
- Competitive compensation with meaningful equity.
- Flexible PTO and a company-wide winter break from Christmas Eve through New Year’s Day.
- Paid parental leave and a fertility and family-building stipend through Carrot.
- For U.S. employees: company-paid medical, dental, and vision insurance for employees and dependents, plus a company-facilitated 401(k).
- Exposure to ML startups and opportunities for learning and networking.
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