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
This foundational leadership role will build and lead the Enterprise Marketing Strategy & Analytics function, serving as the operating system for a rapidly scaling marketing organization. The primary mandate is to define and measure success across all marketing programs—from demand generation (field events, ABM, EBCs, partner co-marketing) to pipeline contribution—creating a clear line from investment to pipeline to revenue. You will establish the metrics framework, stand up reporting infrastructure, and partner with Revenue Operations on planning and forecasting to enable faster, better-informed resource decisions.
The role combines deep analytics (program ROI, attribution, demand and lead analytics) with operational leadership, managing core business functions. You will serve as the primary contact into Finance, HR, and Recruiting for Enterprise Marketing, owning headcount and budget tracking and driving the team's operating cadence in close partnership with the central Marketing Ops & Strategy team on annual planning, organization-wide rhythms, and headcount planning. You will also lead the effort to deploy AI/automation across Enterprise Marketing workflows to prove out internally what we sell externally. You will inherit and grow a team of marketing ops, analytics, and martech professionals. The ideal candidate has scaled this function previously at a fast-growing B2B company, excels in both technical analytics and business operations, and is adept at building trust across sales leaders, finance partners, and field marketers.
Responsibilities
- Define and own the Enterprise Marketing measurement framework, targets, and reporting, covering the full funnel from top-of-funnel demand through pipeline influence and closed-won attribution.
- Build and maintain core analytics infrastructure (data models, attribution logic, dashboards) in partnership with Revenue Operations and Data Science, ensuring marketing and sales alignment on key metrics.
- Serve as one of the primary operating partner to Finance, HR, and Recruiting, leading budget tracking, headcount planning, and vendor management.
- Partner with marketing leadership and the central Marketing Ops & Strategy team on annual and quarterly planning, resource allocation, and performance reviews.
- Establish the operating cadence for Enterprise Marketing (QBRs, pipeline reviews, program retros), coordinating with the central Marketing Ops & Strategy team on organization-wide rhythms, and drive the preparation needed to make these forums decision-useful.
- Lead the identification of high-leverage workflows to automate, partnering with the central GTM AI team on implementation and measuring productivity gains.
- Build and manage the Marketing Operations, Demand Analytics, and MarTech team, setting a high bar for analytical rigor and business partnership.
- Drive cross-functional alignment on shared definitions, tooling, and a single source of truth for marketing performance across the broader Marketing organization and with Revenue Operations.
- Conduct strategic analyses to inform key organizational decisions, such as resource deployment, coverage ratios, and campaign capacity planning.
You may be a good fit if you have
- 10+ years in marketing operations, analytics, revenue operations, or strategy roles, including at least 3 years leading a team.
- Experience building or significantly scaling a marketing ops/analytics function at a high-growth B2B technology company undergoing significant organizational expansion.
- Deep fluency in the enterprise demand funnel, including lead scoring, MQL/SQL definitions, pipeline attribution, and campaign influence models.
- Hands-on expertise with the modern GTM data stack (CRM, Marketing Automation, BI tools)..
- Proven track record of strategic partnership with Finance and Revenue Operations, including experience building budget models and sitting in planning cycles.
- Expertise in running the core operational rhythm of a marketing organization: QBRs, headcount tracking, budget pacing, and vendor renewals.
- Strong written and verbal communication, capable of translating complex datasets into clear business narratives.
- Genuine curiosity about AI and a willingness to be an early, hands-on adopter of automation tools in your team’s workflows.
Our organization is committed to building AI systems that are safe, beneficial, and aligned with human values. Enterprise Marketing is how we bring our AI product to the organizations that will deploy it at scale, and this role ensures that effort is measured, resourced, and run with rigor. If you have built this function before and want to do it again at the frontier of AI, we’d like to talk.
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:
$400,000—$400,000 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