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 co…
Skills: Data Science, Machine Learning, Marketing Analytics, Causal Inference, User Segmentation
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 co…
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 co…
Skills: Python, SQL, Backend Systems, Identity Verification, Access Control 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 co…
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 co…
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 co…
Skills: Computer Vision, Machine Learning, Large Vision Language Models, PyTorch, JAX
Staff+ Software Engineer, Claude App Infrastructure
San Francisco, California, United States · Hybrid
$320k–$485k/yr
Senior+Visa sponsorship$129B raised
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 co…
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 co…
Skills: Machine learning, Reinforcement learning, Python, Distributed systems, LLM training
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 co…
Skills: Distributed systems, Kubernetes, Python, Rust, Go
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 co…
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 co…
Success Manager - Partner Insights & Enablement Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower e…
Description Agile Space Industries is a rapidly growing supplier of propulsion hardware and engineering services for the space industry. Headquartered in Durango, Colorado, with expanding operations in and Tulsa, Oklahom…
Description Agile Space Industries is a rapidly growing supplier of propulsion hardware and engineering services for the space industry. Headquartered in Durango, Colorado, with expanding operations in and Tulsa, Oklahom…
Skills: Heat Transfer, Fluid Dynamics, Rocket Propulsion, Spacecraft System Architecture, Hypergolic Propulsion Systems
Company Description Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, he…
Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improv…
Skills: Phlebotomy, Venipuncture, Capillary techniques, Specimen collection, Data entry
Principal Vehicle Software Systems Engineer - New Glenn
Seattle, Washington, United States · On-site
$183k–$256k/yr
Senior+$185M raised
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re workin…
Skills: Real-time Embedded Systems, Control Systems, Safety-critical Software Verification, Python, Linux
Medical Laboratory Scientist Trainee/1, UWMC Montlake Core Laboratory (Full Time, One-Year Appointment)
Seattle, Washington, United States · On-site
$38/hr–$56/hr
Entry level$20M raised
Job Description Who we’re looking for: The UW Medicine - Department of Laboratory Medicine & Pathology (DLMP) in Seattle, WA has a fantastic opportunity for a Generalist Medical Laboratory Scientist (MLS) Trainee/1 with …
Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improv…
Job Description The UW Medical Center-Montlake Pharmacy Department has an outstanding opportunity for a Pharmacy Quality Assurance Coordinator (Pharmacist 4). WORK SCHEDULE Full-Time / 40 hours per week Day Shifts POSITI…
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$285k–$380k/yr
Full-time
bachelor degree
Competitive Compensation, Equity Donation Matching, Generous Vacation, Parental Leave, Flexible Working Hours, Office Space
Visa sponsorship available
Posted 22d ago
~40 hrs/week
Responsibilities
Partner with marketing, product, and commercial teams to define success metrics and build scalable marketing analytics systems. Design experiments and causal inference studies to optimize marketing interventions and drive a data-driven culture.
Requirements
Requires 6+ years of experience in data science or ML, with at least 3 years embedded in marketing teams. Candidates should have experience with user segmentation, Causal AI, and the ability to thrive in ambiguous environments.
Full job description
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 part of our growing Data Science and Analytics team, you will own the measurement strategy behind Anthropic's marketing investment. This is a foundational role, building marketing measurement at Anthropic from the ground up.
Your first focus is paid media. We are bringing marketing mix modeling in-house, and you will build and operate the econometrics toolkit — marketing mix modeling (MMM), geo experiments, synthetic controls, and incrementality testing — that tells us which marketing investments actually drive growth, working in close partnership with our paid marketing data scientist. From there, you'll extend the same causal rigor to lifecycle and other marketing programs: defining success metrics oriented on activation and sustained usage, and building self-serve measurement that scales beyond any one embedded analyst.
Key responsibilities
Own incrementality measurement for paid media: build and operate our in-house marketing mix model, and design the geo experiments, synthetic-control studies, and holdouts that validate and calibrate it
Translate measurement results into budget and channel recommendations that shape how marketing invests
Establish primary success metrics and guardrails for lifecycle marketing, anchored on activation and active usage rather than reach
Develop hypotheses on marketing interventions, design experiments or causal inference studies, analyze results, and make recommendations based on impact to key metrics
Make marketing measurement self-serve by establishing the metrics, tooling, and best practices that let marketing partners answer routine questions without a data scientist in the loop
Present complex technical analyses and recommendations to both technical and non-technical audiences
Minimum qualifications
Hands-on experience with marketing incrementality methods, including marketing mix modeling, geo experiments, synthetic controls, and A/B or holdout testing at scale
Proficiency with causal inference and machine learning methods, and judgment about when each is appropriate
Proficiency with Python and SQL
Experience applying data science within a Marketing or Growth context
Ability to communicate complex analyses as clear recommendations for non-technical audiences
Preferred qualifications
7+ years of experience in data science, with significant time embedded in Marketing or Growth teams
Experience building measurement frameworks from the ground up, moving teams from descriptive reporting toward causal understanding
A track record of translating complex analyses into recommendations that senior marketing stakeholders act on
Experience bringing marketing mix modeling in-house, or operating one end-to-end rather than through a vendor
Experience defining activation metrics and lifecycle measurement for a product-led business
Background at consumption-based, multi-product companies serving both consumers and enterprises
Comfort setting direction and making decisions when requirements are still taking shape
An interest in Anthropic's mission of building safe and beneficial AI
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000—$380,000 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.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. 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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Related keywords
Data ScienceMachine LearningCausal AIMarketing AnalyticsUser SegmentationCausal InferenceNorth Star MetricsPersonalizationCustomer AcquisitionExperimental DesignFrontier AIAI SafetyLifecycle MarketingBusiness Outcomes
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems.
Industry
Research Services
Company size
501-1,000 employees
LinkedIn followers
4,093,883
Total funding
$129B
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.
Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
GamingEducationSoftwarePredictive AnalyticsInternet of ThingsOnline GamesManufacturingIncubatorsInformation TechnologyMedical Device
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