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.
As the Beneficial Deployments Marketing Lead at Anthropic, you will be the strategic architect of our social impact marketing efforts, positioning Claude as the trusted AI partner for global nonprofits, higher education institutions, life sciences researchers, and organizations focused on public health and economic mobility. This is a pivotal role that requires deep understanding of the social impact ecosystem combined with the ability to craft compelling narratives around AI's potential to benefit underserved communities worldwide.
You'll serve as the dedicated marketing interface for our Beneficial Deployments team—a large, cross-functional team dedicated to working to ensure AI benefits reach communities that need it most. Working closely with product, partnerships, sales, and communications teams, you'll bring partnership launches, features, and impact stories to market while ensuring cohesive messaging across diverse, mission-driven verticals and audiences.
This role demands someone who can set vision and strategy while being hands-on with execution—from launching product capabilities like Claude for Nonprofits and sector-specific MCP integrations, to quarterbacking demand generation campaigns that drive adoption across grantmaker organizations, operating nonprofits, research institutions, and beneficial deployments in emerging markets. Working at the intersection of AI ethics, global development, and growth marketing, you'll help shape industry conversations around responsible AI deployment while driving measurable pipeline and impact results.
This is an opportunity to define how AI reaches and benefits the communities that need it most—supporting our ambitious reach and impact goals.
Responsibilities:Develop and execute comprehensive marketing strategy for Beneficial Deployments across key verticals, with global remit: nonprofits, higher education, life sciences/public health, and economic mobility
Craft differentiated positioning and messaging for distinct audiences within each vertical—from grantmaker foundations, operating nonprofits, scientific research institutions, workforce development partners, and mission-driven technology organizations
Lead go-to-market for product and solution launches including sector-specific SKUs (e.g., Claude for Nonprofits), relevant MCP integrations (LMS platforms, nonprofit, scientific research tools, etc.), and accessibility features
Partner with communications on executive thought leadership regarding AI's potential to benefit underserved communities, including flagship announcements in the context of key initiatives such as Claude for Life Sciences and Claude for Global Health
Drive thought leadership initiatives including impact reports and case studies that quantify Claude's real-world benefit (e.g., SROI measurement)
Design and execute demand generation campaigns for scaled programs including AI for Science grants, nonprofit accelerator cohorts, and grantmaker partnership programs
Identify and prioritize key conferences across social impact, global health, education, and nonprofit sectors and coordinate strategic presence and speaking opportunities
Write and refine copy for solutions pages, campaign materials, and partner-facing content across segments
Partner with design on visual assets that resonate with mission-driven audiences across US and global markets
Work with our integrated campaigns and social team on Beneficial Deployments-related content calendar and posts that highlight impact stories and partnership announcements
Build and maintain tracking infrastructure to measure campaign performance across channels (e.g., nonprofit verification flows, partner referrals, cohort conversions)
Enable sales and partnerships teams with enablement materials, outbound campaigns, and pipeline-driving initiatives for nonprofit enterprise accounts and higher education institutions
Support co-marketing initiatives with corporate philanthropic partners and government partnerships
Have 8+ years of marketing software solutions with meaningful exposure to the social impact, nonprofit, higher education, or tech-for-good space
Have experience in a .org or social impact function at a B2B enterprise company or at a mission-driven technology organization serving nonprofits, education, or public sector
Possess a balanced skill set combining product marketing/messaging expertise with demand generation and campaign execution
Demonstrate proven success in both strategic vision-setting and hands-on execution (comfortable building decks, managing multi-channel campaigns, owning pipeline metrics)
Have experience marketing across multiple audience segments simultaneously—comfortable tailoring messaging for C-suite foundation executives, nonprofit program managers, government officials, and researchers
Are comfortable in a 0-to-1 environment—can build processes where none exist and thrive in ambiguity across diverse verticals
Show expertise in navigating sensitive topics around AI ethics, equity, accessibility, and responsible deployment in underserved contexts
Possess exceptional communication and storytelling skills, with ability to translate complex AI capabilities into compelling impact narratives
Excel at cross-functional collaboration—comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams
Are a quick learner who can absorb context on complex programs rapidly across sectors as different as life sciences research and workforce development
Are passionate about AI's potential to benefit underserved communities while maintaining focus on responsible, equitable deployment
Have worked across multiple social impact verticals (nonprofits, higher education, global health, government/public sector, workforce development) and understand their distinct buying cycles and stakeholder dynamics
Possess experience marketing to international audiences, including comfort with emerging market contexts (Africa, India, Southeast Asia) and government partnerships
Have experience with partnership marketing and co-marketing with foundations, NGOs, corporate philanthropic arms, and government agencies
Show proven track record of building marketing programs from scratch at a growth-stage company
Have established relationships within social impact conferences (Skoll, SOCAP), education conferences (EDUCAUSE, ASU+GSV), or life sciences/public health communities
Demonstrate experience launching enterprise products with tiered pricing or discount programs (similar to nonprofit SKU launches
Have background in impact measurement, program evaluation, or working with organizations like IDinsight on SROI methodologies
Show success managing multiple concurrent campaigns across diverse program areas and geographies
Possess experience with both enterprise sales-assisted motions and product-led growth strategies in mission-driven contexts
Have exposure to life sciences research, public health systems, or workforce development ecosystems
Have experience with AI or machine learning technology marketing
Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
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.
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.
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
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
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Strong & Reliable Incentives — Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
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Healthcare Strength — Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
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Parental & Family Support — Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.
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What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
