Finance & Strategy, Machines (Manager)

2 нед. назад

USASenior

financial forecastingcost analysisroi analysiscapacity planning

Strategic Finance leader managing finance function for hardware infrastructure related to chips and accelerators.

Обязанности

We are seeking a Strategic Finance leader to manage the “machines” finance function covering the chips and accelerators that run our models. 
In this role, you will be a key partner to our hardware infrastructure teams, providing financial expertise and guidance to drive hardware decisions. You will own the near and long-term forecasts for hardware, support deal teams, and our engineering teams on hardware ROI decisions.

Требования

8+ years in strategic finance, FP&A, or capacity/infrastructure finance
Owned hardware, semiconductor, or hyperscaler capacity economics
Experience managing or mentoring finance talent
Strong analytical skills and the judgment to turn an ambiguous structure into a clear financial recommendation
Comfort partnering closely with engineering and commercial teams under deal-timeline pressure
Passion for 's mission to build safe, transformative AI systems
 
The annual compensation range for this role is listed below. 
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Другое

’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.
'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.
 
Own the economics of chip and accelerator capacity: cost per chip-hour and TCO across chip generations
Evaluate capacity offers and hardware commitments with the Compute deal team: pricing across chip types, counterparties, and structures
Partner with Capacity Planning and Hardware Engineering on the financial analysis influencing machine strategy
 
Own the hardware forecast: delivery volumes by chip over time, expenses, and cash flows
Build and manage the Machines finance team; set the operating cadence with central FP&A and Accounting
Serve as the accountable owner for machines FP&A into forecast and close cycles
Coordinate with Accounting, Treasury, and Infra FP&A on accounting treatment and forecast inputs
 
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: 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 do 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.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that recruiters only contact you
We believe that the highest-impact AI research will be big science. At 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 , including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
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.