Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
Audit
BI @ 4
Dashboarding @ 4
Data Pipelines
Data Science
Experimentation
Looker @ 4
Marketing @ 4
Power BI @ 4
Python @ 6
R @ 6
SQL @ 6
Snowflake @ 4
Statistics @ 6
Tableau @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is seeking a Brand Insights, Measurement Lead to strengthen the evidence supporting brand decisions. The role will turn market, campaign, user, behavioral, media, and survey data into actionable recommendations for product, marketing, communications, sales, and finance leadership.
The role will own recurring measurement readouts, including Prosumer and B2B brand health tracker studies, and will help determine whether awareness is converting into consideration and pipeline. It will also support marketing measurement, experimentation, campaign analysis, audience and funnel analysis, dashboarding, and reliable data pipelines.
Responsibilities
- Own recurring executive and all-hands readouts covering key metrics, headwinds, and tailwinds.
- Lead the Prosumer and B2B brand health tracker studies, including research vendor relationships.
- Coordinate with Communications, Marketing, and data science teams on the brand-health dashboard.
- Support media mix modeling, multi-touch attribution, incrementality analyses, and lift testing.
- Conduct pre- and post-campaign analyses covering creative, channel, audience, and timing effects.
- Synthesize campaign-level learnings into recurring leadership reports on channel, creative, and audience performance.
- Build audience and funnel analyses covering awareness, consideration, and conversion.
- Audit customer sentiment reporting and design a more efficient and consistent process.
- Manage underlying data pipelines to ensure recurring readouts remain reliable.
- Partner with Marketing Insights teammates on measurement processes, research design, and the Marketing Business Review scorecard.
- Develop an integrated view using first-party behavioral data, campaign and media data, and survey or attitudinal research.
- Present findings to non-technical audiences, including marketing leadership, enterprise sales, and finance partners.
Requirements
- Strategic orientation and curiosity about customer and user perceptions.
- Fluency in SQL and Python or R.
- Experience with exploratory analysis and rigorous statistical modeling.
- Experience designing or analyzing experiments, including A/B tests, holdouts, and lift tests.
- Experience applying regression, segmentation, or causal-inference methods to business questions.
- Experience running campaign-level measurement from pre- and post-campaign analysis through synthesis of learnings across campaigns.
- Experience building and maintaining recurring metrics reports or dashboards used by executives or cross-functional partners.
- Ability to translate caveated findings into clear recommendations for non-technical stakeholders.
- Ability to reconcile data across first-party, third-party, real-time, and survey sources without a universal taxonomy.
- Strong cross-functional collaboration skills.
- Excitement about Anthropic's mission to develop safe and beneficial AI systems.
- Bachelor's degree or an equivalent combination of education, training, and experience.
- Relevant field of study demonstrated through coursework, training, or professional experience.
Preferred Qualifications
- Experience with media mix modeling, multi-touch attribution, incrementality, or lift testing.
- Experience advising marketing stakeholders on experimental design for live campaigns, including email and paid social.
- Experience measuring marketing performance across multiple markets.
- Familiarity with quantitative survey research, including MaxDiff, conjoint, brand tracking, and sentiment tracking.
- Experience with modern data warehouses such as Snowflake or BigQuery.
- Experience with BI tools such as Tableau, Looker, or Power BI.
- Marketing, growth, or brand analytics experience.
- Graduate degree in statistics, economics, or another quantitative field.
- Career experience spanning BI and dashboarding, applied causal inference, experimental design, and multi-market marketing measurement.
Compensation
The annual salary range is $255,000–$320,000 USD.
Logistics and Benefits
- The role follows a location-based hybrid policy, with staff expected to work from one of Anthropic's offices at least 25% of the time. Some roles may require more office time.
- Anthropic sponsors visas and retains an immigration lawyer to assist with the process.
- Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
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