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About the Role
We are seeking experienced software engineers to join our Beneficial Deployments Engineering team. This role focuses on making Claude accessible to underserved communities, including nonprofits, educational institutions, healthcare organizations, life sciences researchers, and economic mobility initiatives globally. You will address technical challenges at the intersection of AI accessibility, social impact, and scalable product development, aiming to make frontier AI accessible to organizations tackling pressing global issues.
Responsibilities
- Design and implement infrastructure for accessible, self-serve onboarding and verification systems for global markets.
- Translate the needs of underserved communities into scalable technical and product solutions.
- Build flexible pricing, billing, and provisioning systems that balance accessibility with sustainability for resource-constrained organizations.
- Develop MCP integrations to connect Claude with mission-critical tools used by nonprofits, educators, healthcare workers, and researchers.
- Develop multilingual and accessibility capabilities across platforms.
- Build systems to measure and demonstrate social impact at scale.
- Partner with product, partnerships, and field teams to rapidly prototype and validate solutions with real communities.
- Ensure platform reliability and performance for mission-critical deployments in humanitarian and social impact contexts.
Requirements
- 6+ years of practical experience as a full-stack software engineer.
- Experience building consumer or enterprise products that prioritize accessibility, inclusivity, or served underserved populations.
- Technical expertise in identity management, billing systems, self-serve onboarding flows, or API integrations.
- A builder mentality with the ability to ship products quickly while maintaining quality for diverse user needs.
- Deep care for using technology for social good and a desire for engineering work to have meaningful impact.
- Excellent collaboration skills and ability to work effectively with product, partnerships, and field teams.
- Experience with international markets, multilingual products, or accessibility features.
- Background in nonprofit technology, social impact startups, or mission-driven organizations.
- Experience with AI/ML products and LLM applications.
- Familiarity with building products for resource-constrained environments or emerging markets.
- Understanding of compliance requirements in regulated sectors.
- Startup experience, particularly in scaling products from zero to one.
Skills
- Full-stack engineering
- AI accessibility
- Social impact
- Scalable product development
- Identity management
- Billing systems
- Self-serve onboarding flows
- API integrations
- Multilingual capabilities
- Accessibility features
- Collaboration
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- 6+ years
Education Level
- Bachelor’s degree or equivalent combination of education, training, and/or experience
Salary/Compensations
- $320,000—$405,000 USD
Benefits
- Competitive compensation
- Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
- Office space
About the Company
- Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.
- The team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders.
- Anthropic believes that the highest-impact AI research will be big science, working as a single cohesive team on large-scale research efforts.
- The company values impact—advancing long-term goals of steerable, trustworthy AI—rather than work on smaller puzzles.
- AI research is viewed as an empirical science with parallels to physics and biology.
- The company is highly collaborative, hosting frequent research discussions.
- Anthropic is a public benefit corporation headquartered in San Francisco.
Equal Opportunity
- 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.
- We urge candidates not to exclude themselves prematurely and to submit an application if interested.
- We think AI systems have enormous social and ethical implications, making representation even more important.
- We strive to include a diverse range of perspectives on our team.