Brand Insights, Measurement Lead (AI)

Location: San Francisco, CA or New York City, NY; hybrid, with staff expected to work from an office at least 25% of the time

Annual salary: $255,000–$320,000 USD

Company

Anthropic develops reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Own recurring executive and all-hands measurement readouts covering brand metrics, headwinds, and tailwinds.
• Manage Prosumer and B2B brand health tracker studies, including research vendor relationships.
• Coordinate Comms, Marketing, and data science around a consistent brand-health dashboard.
• Support media mix modeling, multi-touch attribution, incrementality, lift testing, and campaign-level analysis.
• Build audience and funnel analyses spanning awareness, consideration, and conversion.
• Maintain reliable data pipelines and translate findings into clear recommendations for marketing leadership, sales, finance, and other non-technical stakeholders.

Requirements

• Bachelor’s degree or equivalent education, training, and experience in a relevant field.
• Fluency in SQL and Python or R, with the ability to perform exploratory analysis and rigorous statistical modeling.
• Experience designing or analyzing experiments, including A/B tests, holdouts, lift tests, regression, segmentation, or causal-inference methods.
• Experience running campaign measurement end to end and maintaining recurring executive dashboards or metrics reports.
• Ability to reconcile first-party, third-party, real-time, campaign, media, and survey data without a universal taxonomy.
• Ability to work from or regularly attend an Anthropic office in San Francisco or New York City under the hybrid policy.

Nice to have

• Experience with media mix modeling, multi-touch attribution, incrementality, or lift testing.
• Experience measuring live campaigns across multiple markets and advising on experimental design.
• Familiarity with MaxDiff, conjoint, brand tracking, sentiment research, Snowflake, BigQuery, Tableau, Looker, or Power BI.
• Graduate degree in statistics, economics, or another quantitative field.

Culture & Benefits

• Collaborative environment focused on large-scale AI research and measurable impact.
• Flexible working hours and an office environment for collaboration.
• Competitive compensation with optional equity donation matching.
• Generous vacation and parental leave.
• Visa sponsorship is available, subject to role and candidate eligibility.