СШАAnthropic
Marketing Analytics Lead, Enterprise Marketing
2 дн. назад
255k–320k USD / годСШАSeniorHybridC1
sqldbtsalesforcedata modelingdashboard developmentmarketing attribution modelsdata scienceanalytics engineering
Marketing Analytics Lead at Anthropic responsible for owning the marketing measurement framework linking marketing activities to pipeline, revenue, and product usage, collaborating with multiple departments to enable data-driven marketing decisions while supporting the growth of enterprise and product-led motions.
About the company
- 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 product
- Anthropic specializes in large language models and general AI systems aimed at building safe, interpretable, and steerable AI for broad societal benefit.
Responsibilities
- Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage
- Set the direction for the framework and extend it to programs it doesn't cover yet
- Define marketing metrics clearly and get cross-functional teams to agree on definitions early
- Build and maintain the data models that power marketing reporting
- Develop dashboards that marketers and executives rely on in their weekly reviews
- Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve
- Lead adoption of the framework so that both marketing and executive teams use it as their shared source of truth
- Partner with finance, sales strategy, and sales development to connect marketing measurement to the broader revenue picture
- Find and share the insights nobody asked for, turning analysis into recommendations that change what we do
- Write analytical SQL on large datasets to answer questions about funnel performance and attribution
- Track framework gaps and data quality issues, and work with data engineering to resolve them
- Present findings to marketing leadership and executives in clear, decision-ready formats
Requirements
- Have deep experience with marketing analytics, including lead funnels, attribution to enterprise pipeline, and product usage measurement
- Have designed metrics from scratch and know what makes a metric trusted and useful
- Can write analytical SQL on large datasets with confidence
- Have built data models in tools like dbt and dashboards that many people use daily
- Are comfortable setting direction without waiting for a plan to be handed to you
- Can turn vague questions into clear, measurable definitions
- Work well across functions and know how to get teams aligned on definitions before problems surface
- Enjoy teaching others how metrics work and helping non-technical audiences build data fluency
- Finish what you start, from first definition to adopted dashboard
- Are excited about Anthropic's mission to develop AI that is safe and beneficial
Nice to have
- Experience building marketing measurement for both enterprise sales-led and product-led growth motions
- Familiarity with marketing attribution models and their practical tradeoffs
- Experience presenting metrics and insights directly to executives and shaping how leadership reviews performance
- A background in data science, analytics engineering, or marketing operations
- Experience working with CRM and marketing automation data, such as Salesforce and related tooling
- Experience standing up a measurement practice where one didn't exist before
- Familiarity with how finance and sales strategy teams think about pipeline and forecasting
Conditions
- Annual Salary: $255,000 — $320,000 USD
- 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: correlate with internal job level requirements for the position
- Location-based hybrid policy: at least 25% in office in San Francisco or New York City
- Visa sponsorship: company will make every reasonable effort to sponsor visa, supported by an immigration lawyer