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.
Join Anthropic as a Customer Success Manager supporting our Beneficial Deployments initiatives. In this role, you’ll apply enterprise-grade customer success practices to partnerships with mission-driven organizations. Anthropic’s Beneficial Deployments team is focused on building AI for good through partnerships with high-impact organizations across education, public health, life sciences, economic mobility, and more. As their dedicated Customer Success Manager, you’ll be the strategic partner and trusted advisor to these organizations - helping them harness Claude’s full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code to amplify their social impact across program delivery, research, fundraising, and operations.
You'll develop genuine partnerships with organizations, gaining a deep understanding of their mission, strategic objectives, programmatic goals, and technical capacity. Drawing on your social impact expertise, business acumen, and technical knowledge, you'll serve as a strategic advisor throughout their journey—helping them identify the right Claude capabilities for their specific objectives while providing best practices tailored to the unique constraints of the social sector.
Your role focuses on helping nonprofit organizations scale their AI adoption effectively, implement change management strategies suited to mission-driven cultures, optimize use cases for maximum social impact, and demonstrate value that supports continued investment and expansion.
The insights you gather from these partnerships will directly inform our research priorities, product development, and strategies for beneficial AI deployment—making you a key voice in shaping how we build and deliver AI systems that amplify social good.
Responsibilities:Build trusting, strategic relationships with nonprofit leaders, program officers, and mission-driven stakeholders to understand their organizational goals, programmatic needs, and social impact objectives, identifying opportunities for optimization and expanded AI deployment
Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
Monitor usage patterns and proactively drive adoption—identifying optimization opportunities, addressing underutilization across consumption-based (API) and seat-based products, and discovering new applications for Claude across departments and workflows
Develop and execute change management strategies appropriate for mission-driven organizational cultures, driving adoption through Train the Trainer programs, Center of Excellence development, and organizational enablement that respects nonprofit capacity constraints and decision-making processes
Create and maintain customer enablement resources —identifying opportunities to develop scalable assets that drive efficiency across the partner portfolio
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs
Identify and create opportunities for nonprofit thought leadership and community activation, developing 1:many engagement programs such as webinars, cohort-based learning, user communities, and peer networking that extend impact beyond individual partner relationships
Document and quantify value realized through social impact outcomes, program effectiveness metrics, cost savings, and mission amplification to build compelling cases for continued investment in AI
Own the partnership experience across the organization's lifecycle—managing comprehensive account and success plans grounded in the organization's mission and social impact objectives, conducting Quarterly Impact Reviews that demonstrate measurable impact, and serving as the primary conduit between the organization and Anthropic
5+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar), with preference for experience supporting mission-driven organizations or working at the intersection of technology and public good—including nonprofits, foundations, educational institutions, government agencies, or social impact programs
Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
Experience explaining and demonstrating technical products to various audiences
Strategic mindset to identify growth opportunities for expanded social impact and translate them into actionable expansion plans
Strong cross-functional collaboration skills with ability to advocate effectively for customer needs
Passion for both AI and social impact work, with strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
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.
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.
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.
