Jobs
Benefits & Perks
•Equity
•Unlimited PTO
•Parental Leave
•Flexible Hours
•Equity
•Unlimited Pto
•Parental Leave
•Flexible Hours
Required Skills
Paid social advertising
Brand campaigns
Programmatic advertising
Project management
Analytics
Campaign optimization
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:
Anthropic is seeking a Paid Social, Brand Campaigns lead to serve as the primary point of contact for our major brand campaign initiatives. You'll be the operational engine behind large-scale campaigns, orchestrating efforts across internal teams, creative partners, and agency relationships to bring ambitious brand moments to life.
This role sits at the intersection of brand strategy and execution. You'll work closely with the Creative, Mar Tech/Analytics, Data Science, Finance, and external agency teams to execute 3-4 mini brand campaigns and 2 large tentpole moments annually. As we scale, you'll help build and test always-on learning campaigns that generate continuous audience insights between major launches. You'll own both the internal stakeholder relationships and the external agency partnerships that make these campaigns successful, ensuring seamless coordination from creative development through post-campaign analysis.
This is a hands-on individual contributor role that requires someone who can balance strategic sophistication with operational excellence. You'll need to move quickly on campaign execution while building the systems, playbooks, and relationships that establish institutional knowledge for long-term success. The ideal candidate thrives in ambiguity, can manage multiple stakeholders with competing priorities, and brings both the brand sensibility and performance rigor needed to drive measurable business impact.
Responsibilities:
Serve as primary point of contact for major brand campaigns, coordinating efforts across internal stakeholders and external agency partners
Lead end-to-end execution of digital brand campaigns across paid social and programmatic
Create executive-ready reporting and insights that clearly communicate campaign performance, learnings, and recommendations to leadership
Own agency relationships for brand campaigns, serving as the main liaison for campaign strategy & expected learnings, creative development, media planning, and performance reporting
Manage internal stakeholders throughout campaign lifecycle, from initial briefings through launch and post-campaign analysis, ensuring alignment on timelines, creative direction, and success metrics
Execute brand campaign setup, trafficking, and optimization, ensuring proper frequency capping, audience configuration, conversion event alignment, and creative specifications
Partner with Creative team to adapt hero brand assets into platform-optimized variations, providing data-driven feedback on creative performance
Drive adoption of advanced platform features with agency partners, including cross-media integration, AI creative tools, and automated optimization capabilities
Build and maintain comprehensive brand campaign playbooks documenting audience learnings, creative insights, platform best practices, and optimization frameworks to create institutional knowledge
Implement and manage brand measurement frameworks including platform level Brand Lift Studies, incrementality tests, and attribution models to prove brand-to-conversion linkage
Optimize campaigns in real-time based on reach efficiency, frequency management, creative performance, and brand lift metrics
Develop and launch always-on brand learning campaigns to build continuous audience insights, validate creative concepts, and maintain platform expertise between major launches
Provide overflow support for performance marketing initiatives during peak periods and contribute to channel expansion efforts
Build strong relationships with platform representatives and vendor partners to access beta features, troubleshoot issues, and advocate for product improvements
You may be a good fit if you:
Have 6-8 years of hands-on paid social advertising experience, with at least 3 years managing brand awareness/consideration campaigns (not just direct response)
Have proven track record managing $500K+ monthly budgets across paid social campaigns
Have direct platform experience across paid social and programmatic
Have strong understanding of brand campaign mechanics including frequency management, reach optimization, creative fatigue, and brand-specific measurement frameworks
Have experience working in-house at a tech/SaaS company
Have portfolio demonstrating successful brand campaigns with measurable impact
Have excellent project management skills with ability to manage multiple concurrent campaigns from briefing through optimization
Have strong analytical skills to interpret brand lift data, creative performance reports, and audience insights
Have collaborative work style with experience partnering across creative, analytics, and external agency teams
Can work independently with minimal oversight, making tactical optimization decisions in real-time during campaign flights
Are comfortable building processes and systems from scratch in fast-paced, ambiguous environments where you're establishing new capabilities
Can balance speed with quality, making pragmatic decisions when facing competing priorities and tight deadlines
Demonstrate entrepreneurial mindset with bias toward action - can ship campaigns in days/weeks, not months
Are data-driven in decision-making while maintaining creative intuition and brand judgment
Are excited about AI and eager to help people discover how Claude can transform their work
Strong candidates may also have:
Experience with paid social platform ad managers and programmatic
Familiarity with marketing analytics tools like Segment, Amplitude, or similar for event tracking and attribution
Understanding of AI/ML product marketing and technical audience targeting strategies
Background in performance marketing with understanding of how brand campaigns drive downstream conversions and full-funnel impact
Experience building playbooks, documentation, and scalable processes that create institutional knowledge
Strong creative intuition for providing actionable feedback to designers on platform-specific creative best practices
Understanding of UTM structures, campaign taxonomy, and naming conventions for clean reporting
Experience with A/B testing, creative versioning, and performance optimization methodologies
Familiarity with conversion tracking, attribution modeling, and multi-touch attribution frameworks
Knowledge of brand safety protocols and how to maintain brand integrity at scale across platforms
Track record of successfully managing complex, multi-stakeholder projects with tight deadlines and high visibility
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:$200,000—$255,000 USD
Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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
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About Anthropic

Anthropic
Series FAn AI safety and research company that builds reliable, interpretable, and steerable AI systems.
1,001-5,000
Employees
San Francisco
Headquarters
$60B
Valuation
Reviews
4.5
20 reviews
Work Life Balance
3.0
Compensation
4.5
Culture
4.8
Career
4.2
Management
3.5
100%
Recommend to a Friend
Pros
Exceptional team quality and talent
Cutting-edge AI and technical work
Strong mission-driven culture
Cons
Long working hours
Opaque leadership and management
High learning curve and fast pace
Salary Ranges
31 data points
Senior/L5
Senior/L5 · Analytics Engineer
1 reports
$409,500
total / year
Base
$315,000
Stock
-
Bonus
-
$409,500
$409,500
Interview Experience
5 interviews
Difficulty
4.0
/ 5
Offer Rate
40%
Experience
Positive 40%
Neutral 40%
Negative 20%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
System Design Round
6
Final Round/Onsite
7
Offer
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
ML/AI Concepts
News & Buzz
Anthropic Company Reviews & WLB Discussions
4.8/5 overall rating. Compensation rated 4.9/5, Work-Life Balance rated 3.6/5 (lowest). Reports of 60+ hour weeks during peak periods.
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NaNw ago
Anthropic Reviews: Pros & Cons of Working At Anthropic
4.4/5 rating. 95% recommend to friend. Praised for mission-driven culture and compensation. Criticized for work-life balance and chaotic priorities.
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Detailed interview experience covering coding assessment, system design, and culture fit. Notes interview difficulty and long process.
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My 2025 Anthropic Software Engineer Interview Experience
First-hand account of interview process including 90-min CodeSignal, system design, and culture rounds. Describes process as rigorous but fair.
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