Software Engineer, Beneficial Deployments
Software Engineer, Beneficial Deployments
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$ 320000 - 405000
1 Vacancy
Job Description
About Anthropic
Anthropics 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:
Were looking for experienced software engineers to join our Beneficial Deployments Engineering team to help bring Claude to communities that need AI mostnonprofits 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 youll 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 humanitys 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 expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity benefits and may include incentive compensation.
Annual Salary:
$320000 - $405000 USD
Logistics
Education requirements: We require at least a Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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.
How were 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. Were 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 aboutour policyfor using AI in our application process
Employment Type
Full Time
