Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Leadership @ 6
Technical Leadership @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is building Claude Science, an AI workbench that gives researchers a single environment for literature, specialized databases, scientific computing, analysis, and publication-ready outputs. The platform already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors. Much of the product is being built from 0 to 1, giving this role ownership over both product direction and architecture.
The successful candidate will be a technical leader focused on the end-to-end researcher experience, working directly with Anthropic's internal research team to bring model capabilities into production and shape the product roadmap.
Responsibilities
- Ship quickly against a roadmap while helping define the product direction for a new category.
- Interface directly with working scientists, including academic labs, industry research and development teams, and research institutes.
- Translate customer and domain-expert insights into engineering priorities.
- Partner with product and design to turn scientific workflows—from hypothesis through analysis and publication—into shipped product experiences.
- Work closely with research teams to improve models' scientific capabilities.
- Shape evaluations, identify failure modes, and feed real-world user findings back into model development.
- Drive cross-team alignment and ship impactful work through influence and technical leadership.
Requirements
- 8 or more years of software engineering experience.
- Ideally, 2 or more years at a Staff or equivalent technical leadership level.
- Experience building products from 0 to 1 in fast-moving environments.
- Ability to set technical direction with limited precedent.
- Experience building AI products and turning model capabilities into applications that people use.
- Comfort working directly with technical domain experts and translating their needs.
- Bachelor's degree or an equivalent combination of education, training, and experience.
- A field of study relevant to the role, demonstrated through coursework, training, or professional experience.
Preferred Qualifications
- Background in chemistry, biology, physics, or another scientific discipline.
- Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks.
Compensation
- Annual salary: $405,000–$485,000 USD.
Logistics and Benefits
- Location-based hybrid policy: Staff are expected to work from one of Anthropic's offices at least 25% of the time; some roles may require more office time.
- Anthropic sponsors visas, although sponsorship is evaluated for each role and candidate. The company retains an immigration lawyer to assist with the process.
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Collaborative office space.
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