Join Anthropic as a Staff+ Software Engineer to lead the development of enterprise AI products that enhance organizational workflows.
Posted by employer 3 months ago
First seen on Joblaze 3 months ago
Last verified on the company career page 16 hours ago
Joblaze summary
In this role, the Staff+ Software Engineer will lead the technical design and delivery of enterprise AI products, focusing on enhancing customer workflows and addressing adoption barriers. The position requires expertise in full-stack development, particularly in building AI applications that are user-friendly and effective. Ideal candidates will have significant experience in software engineering, particularly in enterprise environments, and a proven track record of driving product development from inception to launch. Anthropic's collaborative culture emphasizes impactful AI research, making this role suitable for those who thrive in fast-paced, innovative settings.
Quick facts
- Is the Staff+ Software Engineer, Enterprise AI Products role remote?
- It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY.
- What's the salary range?
- Anthropic lists $405,000–$485,000 for this role.
- How much experience is required?
- At least 8 years of relevant experience for this Staff+ Software Engineer, Enterprise AI Products role.
- Where is the role based?
- Anthropic is hiring for this position in San Francisco, CA | New York City, NY.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff+ Software Engineer, Enterprise AI Products role at Anthropic.
From the original posting
About Anthropic
About the role
Anthropic's Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers across industries. We focus on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes / agents). In other words, we focus on products that form the connective tissue that lets Claude operate across an organization. A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. Much of this is being built 0→1 right now: you'll be shaping the product and the architecture in a market where no one has done this well yet.
You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next.
What you'll do
- Own technical design and delivery for enterprise-facing core products, end-to-end across the stack
- Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec
- Set technical direction and standards for your team: architecture, code quality, and how the team builds
- Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities
- Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development
- Mentor other engineers and raise the technical bar across the team, working with influence rather than authority
- Build multi-player, asynchronous agents: department-level processes that are goal-oriented, many-step, and triggered by a webhook, a form, or an email rather than a person typing
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 led the design and delivery of complex enterprise or B2B products across the full stack
- Have built AI products and know what it takes to turn model capabilities into applications people actually use
- Are comfortable working directly with enterprise customers and translating what you learn into technical decisions
- Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on
- Drive cross-team alignment to ship impactful work, with influence over authority
Strong candidates may also have
- Experience working with research to improve domain-specific model capabilities, including evaluation frameworks
- Experience building extensibility surfaces (plugins, integrations, agent tooling) that third parties or internal teams build on
- Exposure to both product-led growth and direct enterprise sales
The annual compensation range for this role is listed below.
Annual Salary:
$405,000—$485,000 USD
Logistics
Standard company text repeated across Anthropic's postings is omitted here.