Software Engineer, Beneficial Deployments
San Francisco, CA | New York City, NYFull-TimeMid-levelSoftware Engineering
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
- We're looking for experienced software engineers to join our Beneficial Deployments Engineering team to help bring Claude to communities that need AI most—nonprofits, educational institutions, healthcare organizations, life sciences researchers, and economic mobility initiatives globally.
- This role requires strong full-stack engineering skills combined with deep empathy for underserved communities and mission-driven organizations. As an IC engineer on this team, you'll solve unique technical challenges at the intersection of AI accessibility, social impact, and scalable product development, and will help make frontier AI accessible to organizations working on humanity's most pressing challenges.
Core Responsibilities
- Design and implement infrastructure that enables accessible, self-serve onboarding and verification systems for global markets
- Understand the needs of underserved communities and translate them 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 that 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
You might be a good fit if you
- Have 6+ years of practical experience as a full-stack software engineer
- Have experience building consumer or enterprise products that prioritize accessibility, inclusivity, or served underserved populations
- Have technical expertise in identity management, billing systems, self-serve onboarding flows, or API integrations
- Have a builder mentality with ability to ship products quickly while maintaining quality for diverse user needs
- Care deeply about using technology for social good and want your engineering work to have meaningful impact
- Have excellent collaboration skills and can work effectively with product, partnerships, and field teams
Strong candidates may also
- 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
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.
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.
