Finance & Strategy, GTM (Enterprise Tech)
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Key details
Job Description
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
You will be the finance partner to Anthropic's Enterprise sales team responsible for our largest technology and AI-native customers. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making for a book of business scaling faster than almost any in software history, and you'll sit in the room where segment strategy gets decided.
GTM Finance & Strategy sits at the epicenter of Anthropic's go-to-market decisions and you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. You'll be the person segment leaders turn to when they need to know where to invest, how to set targets, and whether a deal makes sense.
Key responsibilities
- Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials
- Own revenue forecasting and target-setting for a consumption-based business: build the models that translate usage dynamics, deal commitments, and model launches into credible plans
- Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations
- Design and pressure-test sales capacity plans and variable compensation structures as the sales team scales
- Deliver clear, decision-ready analysis to executives: what happened, why, and what we should do about it
- Build the reporting infrastructure (dashboards, scorecards, self-serve metrics) that lets the business run itself; we work hands-on with data and use Claude to do finance in ways that don't exist anywhere else
Minimum qualifications
- Experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking
- Experience with consumption/usage-based revenue models (cloud infrastructure, API, or usage-priced products) — forecasting, unit economics, and deal structuring
- Built operating models that executives actually used to make headcount, target, or investment decisions
- Comfort pulling and shaping your own data (SQL or equivalent) and genuine enthusiasm for using AI tools to multiply your output
- Ability to bring structure to ambiguous, zero-to-one problems and drive them to a conclusion under tight timelines
- Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models
- Comfort working cross-functionally and are adept at communicating complex financial information to 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
- Are passionate about Anthropic's mission to build safe, transformative AI systems
Preferred qualifications
- 7+ years in strategic finance, GTM finance, or a foundation in investment banking, consulting, private equity, or growth equity followed by an operating role
- GTM Finance Business Partnership experience
- A combination of 3+ years in strategic finance, paired with several years prior across private equity, growth equity, venture capital, consulting, and investment banking
- Strategic finance experience at a high-growth cloud, infrastructure, or consumption-priced business (e.g., AWS, GCP, Azure, Snowflake, Databricks, Datadog, MongoDB, Confluent, Twilio)
- Direct experience with deal desk, enterprise commitments, or large-deal pricing
- Sales compensation or quota design experience
- Background in AI, ML, or related technologies
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.
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.
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