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Finance & Strategy, GTM; Enterprise Tech

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: TryApplyNow
Full Time position
Listed on 2026-07-16
Job specializations:
  • Finance & Banking
    Financial Analyst
Salary/Wage Range or Industry Benchmark: 240000 - 325000 USD Yearly USD 240000.00 325000.00 YEAR
Job Description & How to Apply Below
Position: Finance & Strategy, GTM (Enterprise Tech)

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

Annual Salary: $240,000 — $325,000 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! We will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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