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Finance & Strategy, Machines

Label Your Data·$240,000 – $325,000

Job description

About the Position

Finance & Strategy, Machines

San Francisco, CA


About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.


About the Role

We are seeking a Machines FP&A lead to own financial planning for the chips and accelerators that run our models. You will own the hardware forecast and budget, keep leadership's view of machine spend current, and be the single finance point of contact for machines into Accounting and consolidated FP&A.

In this role, you will be a key partner to our capacity planning and hardware teams, and work day to day with the Compute deal team, Accounting, and the consolidated FP&A team.


Responsibilities

  • Own the hardware forecast: delivery volumes, lease and financing expense, and cash flows
  • Run budget vs. actuals for machine spend: one view of what the fleet costs and why it moved
  • Serve as the single point of contact for machines in forecast and close cycles with Accounting and consolidated FP&A
  • Coordinate forecast inputs with Capacity Planning and the Compute deal team
  • Track spend and cash-flow phasing against multi-year hardware commitments
  • Partner with Accounting on the treatment of leases and related agreements
  • Support chip and accelerator economics analyses led by the Machines finance team
  • Build the reporting that keeps leadership's machine spend picture current

Requirements

  • Minimum qualifications

    • Owned a forecast or budget end to end at a hardware, semiconductor, hyperscaler, or infrastructure-heavy business
    • Strong driver-based modeling skills and budget-vs-actual / variance discipline
    • Comfort partnering closely with engineering and commercial teams under deal-timeline pressure
    • Passion for Anthropic's mission to build safe, transformative AI systems
  • Preferred qualifications

    • 7+ years in FP&A, strategic finance, or capacity/infrastructure finance
    • Capacity planning or infrastructure FP&A experience at a hyperscaler or major chip maker
    • Experience building forecast infrastructure for a new or fast-changing spend area
    • Lease and long-term-agreement accounting fluency
    • MBA, CFA, or equivalent

We Offer

  • Annual Salary: $240,000-$325,000 USD
  • Education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
  • Field of Study: A field relevant to the role as demonstrated through coursework, training, or professional experience
  • Experience: Minimum years of experience required will correlate with the internal job level requirements for the position
  • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
  • Visa sponsorship: We sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

About the Company

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.


How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.


Come Work with Us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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