Staff+ Software Engineer, Enterprise AI Products

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 405,000 - 485,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Office space in SF

Job summary

United States Digital Space LLC is building an Enterprise AI Products team focused on enabling Claude as a daily-use tool for enterprise customers. You will lead end-to-end technical delivery, set strategy, and work with research to push model capabilities into production.

The role blends engineering leadership with hands-on design and collaboration with sales and product teams. You’ll shape the product and architecture in a market where few have done this well, mentor engineers, and drive

Qualifications

• 8+ years of software engineering experience, with 2+ years in a Staff or equivalent leadership role
• Led design and delivery of complex enterprise or B2B products across the full stack
• Built AI products and translated model capabilities into usable applications
• Experience working with enterprise customers and translating learnings into technical decisions
• Experience building 0→1 products in fast-moving environments and setting technical direction
• Ability to drive cross-team alignment to ship impactful work with influence over authority

Responsibilities

• Own technical design and end-to-end delivery for enterprise-facing core products
• Partner with product, design, and go-to-market teams to translate customer workflows into shipped products
• Set technical direction and standards for the team including architecture and quality
• Engage directly with enterprise customers and sales to inform engineering priorities
• Collaborate with research to improve domain-specific model capabilities and feedback to model development
• Mentor engineers and raise the technical bar across the team

Skills

Leadership

Staff or senior engineering

Enterprise/B2B product experience

Cross-functional collaboration

Education

Bachelor's degree

Tools

Architectural design

Job description

About the company

the company’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

the company'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.

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, and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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 aren't 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.

How we’re different

We believe that the highest-impact AI research will be big science. At the company 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 the company, 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!

the company 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.

We think AI systems like the ones we’re 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.