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
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future.
Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet.
You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next.
Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s AI for Science Program and our rare disease research grants.
What you'll do
Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed
Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities
Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product
Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development
You may be a good fit if you
Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on
Have built AI products and know what it takes to turn model capabilities into applications people actually use
Are comfortable working directly with technical domain experts and translating what you learn
Drive cross-team alignment to ship impactful work, with influence over authority
Strong candidates may also have
Background in chemistry, biology, physics, or another science
Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks
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.
Annual Salary:
$405,000—$485,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training
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