Is the Product Finance, Inference Capacity Lead role remote?

It's hybrid — Anthropic expects some on-site time in San Francisco, USA.

What's the salary range?

Anthropic lists $235,000–$310,000 for this role.

How much experience is required?

At least 8 years of relevant experience for this Product Finance, Inference Capacity Lead role.

Where is the role based?

Anthropic is hiring for this position in San Francisco, USA.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML.

Does Anthropic sponsor work visas for this role?

Yes — the posting indicates visa sponsorship is available for the right candidate.

What seniority level is this role?

Anthropic targets lead candidates for this position.

Is this full-time or contract?

Full-time for this Product Finance, Inference Capacity Lead role at Anthropic.

Product Finance, Inference Capacity Lead at Anthropic

Joblaze summary

The Product Finance, Inference Capacity Lead at Anthropic plays a pivotal role in guiding financial strategies that support product and engineering teams, focusing on optimizing inference infrastructure costs. This position requires advanced analytical skills and experience in financial modeling, particularly in the context of AI and technology sectors. Ideal candidates will have a strong background in strategic finance, with at least eight years of relevant experience, and a passion for driving clarity in complex financial landscapes. Anthropic's collaborative environment emphasizes impactful AI research, making this role essential for aligning financial insights with innovative product dev

Joblaze insights

Listed today on Joblaze — tracked directly from Anthropic's career page.
Anthropic has 412 other open roles including Platform Hardware Security, People Research Scientist, Recruiting, People Research Scientist, People.
1676 active AI/ML roles on Joblaze right now.
Salary band is above the typical range for comparable tech roles (median ~$113,600).

Quick facts

Is the Product Finance, Inference Capacity Lead role remote?: It's hybrid — Anthropic expects some on-site time in San Francisco, USA.
What's the salary range?: Anthropic lists $235,000–$310,000 for this role.
How much experience is required?: At least 8 years of relevant experience for this Product Finance, Inference Capacity Lead role.
Where is the role based?: Anthropic is hiring for this position in San Francisco, USA.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML.
Does Anthropic sponsor work visas for this role?: Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?: Anthropic targets lead candidates for this position.
Is this full-time or contract?: Full-time for this Product Finance, Inference Capacity Lead role at Anthropic.

From the original posting

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 Product Finance, Inference Capacity Lead to join our Finance team at Anthropic. In this role, you will be a key partner to our product teams, engineering leaders, and go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building detailed financial models, and delivering insights to drive informed business decisions across our inference infrastructure—one of the biggest line items on our P&L.

This role will work closely with senior Compute, Product, and GTM stakeholders, and collaborating with other members of the finance organization to align product and inference strategies with broader financial considerations. You'll be passionate about optimizing and driving clarity into the impact that inference capacity has on our growth potential, while creating and scaling novel unit economic metrics for the business to operate by. If you are passionate about leveraging financial acumen to support innovation and drive business success at our cutting-edge AI company, join us on the frontier of making AI safe and impactful.

Key responsibilities

Provide expert guidance, recommendations, and influence to product, engineering, and go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials
Partner cross-functionally with senior engineering leaders and technical teams to drive detailed financial modeling and analysis, building sophisticated models to optimize inference infrastructure costs and performance
Lead the creation and scaling of novel unit economic metrics for the business, including LTV, contribution margin, and other key performance indicators that enable data-driven decision-making
Drive optimization initiatives and provide clarity into inference infrastructure costs, working to maximize efficiency of one of our largest P&L line items
Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as pricing and packaging, business expansion, and defining new unit economic frameworks
Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives
Collaborate with other members of Finance & Strategy and accounting counterparts, helping to align product and inference strategies with broader financial considerations
Establish and implement reporting dashboards and scorecards to track key operational and financial metrics

Minimum qualifications

Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex and detailed financial operating models
Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges
Comfort working cross-functionally with senior engineering leaders, technical teams, and are adept at communicating complex financial information to both technical and non-finance audiences
Excitement about working in a fast-paced, dynamic environment and adapt well to change
Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
Strong relationship building, business judgment, process management, and communication skills
Passion for optimizing and driving clarity into major cost centers and P&L line items
Are passionate about Anthropic's mission to build safe, transformative AI systems

Preferred qualifications

8+ years of experience across strategic finance, product finance, compute finance, investment banking, private equity, and growth equity
A combination of 5+ years in strategic finance, paired with several years prior across investment banking, private equity, or growth equity
Direct experience and strong interest in AI infrastructure
Background in AI, ML, or related technologies
Experience creating and scaling novel unit economic metrics and frameworks
Experience with consumption based and/or complex business models

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.

Annual Salary:

$235,000—$310,000 USD

Logistics

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 Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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.