Brand Insights, Measurement Lead

Anthropic Limited; San Francisco (CA); Híbrido; USD 255.000 - 320.000; Jornada completa

Descripción de la vacante

Anthropic Limited is seeking a Brand Insights, Measurement Lead to strengthen the evidence that informs our brand decisions. You will own the team’s recurring measurement readouts and brand health studies, ensuring accuracy and clear actionability for leadership.

You’ll partner closely with Marketing Insights, Comms and data science on a brand-health dashboard and collaborate with Enterprise Marketing, product marketing and finance to translate data into strategic guidance.

Formación

• Bachelor’s degree or equivalent combination of education, training, and/or experience.
• Experience designing and analyzing experiments (A/B tests, holdouts, lift tests).
• Experience running campaign-level measurement end to end with actionable insights.

Responsabilidades

• Own recurring executive and all-hands readouts with key metrics and tailwinds.
• Lead brand health tracker studies and manage research vendor relationships.
• Coordinate branding insights with Comms, Marketing and data science on dashboards.
• Support media mix modeling, multi-touch attribution and lift analyses for budget decisions.
• Run pre/post-campaign analyses and translate results into concrete changes for campaigns.
• Roll up learnings for leadership on channels, creative approaches and audiences.
• Build audience and funnel analyses from awareness to conversion to inform investments.
• Audit reporting of customer sentiment and streamline data pipelines.

Conocimientos

SQL

Python

R

Experiment design

Educación

Bachelor's degree

Herramientas

Snowflake

BigQuery

Tableau

Looker

Power BI

Descripción del empleo

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 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

As a Brand Insights, Measurement Lead at Anthropic, you will strengthen the evidence that fuels our brand decisions: knowing whether marketing spend and effort is working, saying so clearly on a schedule to the people who need to hear it. Marketing Insights turns market, campaign and user data into decisions that product, marketing, comms and sales leadership can act on. You'll tell us, with data, whether awareness is turning into consideration, whether consideration is turning into pipeline, and where that chain breaks down for a given audience. This role sits at the intersection of human understanding, marketing science discipline and organizational influence.

In this role, you'll own the team's recurring measurement readouts, including the Prosumer and B2B brand health tracker studies and the metrics, headwinds and tailwinds that show up in front of business leadership and in all-hands updates, keeping them accurate, current and easy to act on. You'll partner closely with your Marketing Insights teammates, Comms and data science on the brand-health dashboard, Brand & Integrated Marketing leadership, brand data science, research vendors, and cross‑functional stakeholders across Enterprise Marketing, product marketing and finance.

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

You may be a good fit if you

• 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

Strong candidates may also have

• Experience with media mix modeling, multi‑touch attribution or incrementality and lift testing specifically, rather than general‑purpose analytics
• Experience advising marketing stakeholders on experimental design for live campaigns (email, paid social), or measuring marketing performance across multiple markets
• Familiarity with survey‑based quantitative research (MaxDiff, conjoint, brand and sentiment tracking) alongside behavioral and usage data
• Experience with a modern data warehouse (Snowflake, BigQuery) and a BI tool (Tableau, Looker, Power BI)
• Prior experience in marketing, growth or brand analytics specifically, rather than data science in a general or product context
• A graduate degree in statistics, economics or another quantitative field
• A career trajectory spanning BI and dashboarding, applied causal inference and experimental design, and multi‑market marketing measurement

Annual Salary

$255,000—$320,000 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.

Representation and Inclusion

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.

Guidance on Candidates' AI Usage:

Learn about our policy for using AI in our application process.

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.