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Brand Insights, Measurement Lead

Anthropic· Marketing & Brand
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Hybrid (San Francisco, CA / New York City, NY), Hybrid (Remote (SF/NYC physically in office part-time))$255k - $320kFull-timePosted 6d ago

About the role

Role focused on delivering evidence-based brand marketing measurements, dashboards, and analyses to inform leadership decisions across marketing, communications, product marketing, and finance at Anthropic.

Responsibilities

  • Own the recurring executive and all-hands readouts that put key metrics, headwinds and tailwinds in front of marketing management and the broader team
  • Lead process ownership of the Prosumer and B2B brand health tracker studies, including managing the research vendor relationships that field them
  • Lead coordination across Comms, Marketing and data science on the brand-health dashboard, aligning all three groups on one consistent view of the data
  • Support media mix modeling, multi-touch attribution and incrementality analyses that inform how marketing budget and effort get allocated, moving the team past correlation to a defensible read on what's actually driving outcomes
  • Run best-practice pre- and post-campaign analysis on individual campaigns, covering creative, channel, audience, and timing effects, and turn each read into a specific change for the next campaign
  • Roll up campaign-level learnings into a recurring view for leadership: which channels, creative approaches, and audiences are outperforming over time, and where the team should adjust the playbook next
  • Build audience and funnel analyses that quantify how different audiences move, and relate to each other, from awareness through consideration to conversion, and what that means for where to invest
  • Audit how customer sentiment gets reported across the business and design a more efficient, consistent process
  • Manage the underlying data pipelines so that recurring readouts stay reliable and don't get rebuilt from scratch each cycle
  • Partner with Marketing Insights teammates to keep measurement process and research design in sync, including feeding into the Marketing Business Review scorecard process
  • Develop one defensible view from first-party behavioral data, campaign and media data, and survey or attitudinal research, being clear about what each source can and can't tell you on its own
  • Present findings to non-technical audiences, including marketing leadership, enterprise sales and finance partners, translating hedged results into clear recommendations

Qualifications

  • Have a strategic orientation, strong curiosity for understanding what customers and users think and how to shift perceptions, and can use that to influence business and marketing direction
  • Are fluent in SQL and Python or R, and move comfortably between a quick exploratory pull and a more rigorous statistical model
  • Have designed or analyzed experiments (A/B tests, holdouts, lift tests) to establish a causal effect rather than settle for a correlation, and have applied regression, segmentation or other causal-inference methods to a real business question
  • Have run campaign-level measurement end to end, from a pre/post read on a single campaign to synthesizing learnings across multiple campaigns into a change the team acts on next time
  • Have built and maintained a recurring metrics report or dashboard that executives or cross-functional partners actually rely on, and kept it trustworthy over time
  • Can turn a hedged, caveated finding into a clear recommendation a non-technical stakeholder can act on, and know which caveat matters enough to keep in the headline
  • Start an analysis by pinning down the business question and the decision it needs to serve, not the method that's most interesting to run
  • Can reconcile data with no universal taxonomy across first-party, third-party, real-time and survey sources
  • Know when a directionally correct answer now beats a more rigorous one that arrives too late to matter
  • Work well across functions, building credibility with both technical partners and non-technical leadership
  • Are excited about Anthropic's mission to develop AI that is safe and beneficial

Skills

Required:SQLPython or RExperiment design (A/B tests, holdouts, lift tests)Campaign measurement & analyticsData visualization & dashboards

Benefits

  • Competitive compensation
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration
  • Optional equity donation matching
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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