AI Engineer, Ecosystem

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 171,000 - 240,000; Full time

Benefits offered by this job

Flexibility to work from home

Up to four weeks fully remote work per year

Job summary

United States Digital Space LLC is looking for a technical owner for their external AI ecosystem. This hybrid role based in San Francisco emphasizes design, security, and collaboration across various teams to build and maintain production-grade integrations.

A successful candidate will have experience with identity management, product judgment, and the ability to work with external APIs, ensuring that integrations remain reliable and valuable. The role comes with a salary range of $171,000 - $240,000 USD, depending on experience and skills.

Qualifications

• Experience building and maintaining production software with external interactions.
• Demonstrated ownership of user-facing products.
• Deep understanding of secure data access and permissions.

Responsibilities

• Own the company's MCP apps with various external integrations.
• Define technical standards for operations within external ecosystems.
• Design secure and auditable integration patterns.
• Build resilient production-grade integrations.
• Collaborate cross-functionally with various internal teams.
• Serve as the center of excellence for AI capabilities across platforms.

Skills

Building and owning production software

Technical ownership for user-facing products

Identity and authentication experience

Proven ability to integrate with external APIs

Strong product judgment

Job description

Why join us

the company is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, the company enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. the company’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world’s best companies run on the company, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at the company allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

AI at the company

AI Engineering at the company is redefining how businesses run their finances by building intelligent, autonomous systems directly into the the company platform. Our teams develop AI agents that don’t just surface insights—they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we’re turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works.

What you’ll do

You’ll be a technical owner for the company’s external AI ecosystem: the integrations, surfaces, and standards that allow customers to interact with the company through third-party assistants and platforms.

Over the next year, you’ll turn early integrations into first-class, exemplar applications — stable, secure, and opinionated — that are showcased by platform partners and relied on by power users at the company’s most sophisticated customers. You’ll design how the company data and actions are safely exposed, how permissions and auditability work across boundaries, and how new capabilities (including richer UI surfaces) are introduced over time.

This is a product role disguised as infrastructure. Success is measured by real usage, trust, and customer reliance — not by the number of integrations shipped.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We require three coordinated days in the office per week — Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the company's MCP Apps for OpenAI, Claude, Slack, and other embedders, including roadmap decisions across core and long-tail partners.
• Define the technical, UX, and reliability standards for how the company surfaces and operates within external AI assistant ecosystems.
• Design and maintain secure, auditable integration patterns, including permissions, read/write access, and acting on behalf of users across third-party environments.
• Build and operate production-grade integrations that remain resilient amid evolving platforms, unpredictable clients, and shifting constraints.
• Partner cross-functionally with Security, Platform, Sales, Enablement, and internal agent teams to ensure integrations are safe, valuable, and well-supported.
• Serve as the center of excellence for reusable AI capabilities across the company, defining and evangelizing standards, patterns, and shared components that power AI functionality both within the the company platform and across external ecosystem integrations.

Requirements

• Experience building and owning production software, including systems that integrate with or depend on third-party platforms.
• Demonstrated technical ownership for user-facing products with real external customers.
• Deep experience with identity, authentication, and secure data access across system boundaries, including OAuth and role-based access control (RBAC) for permissions.
• Proven ability to ship and operate reliable integrations with external APIs and clients outside your control.
• Strong product judgment, written communication, and end-to-end ownership, including accountability for quality and launch readiness.

Bonus points

• Experience publishing and maintaining apps or integrations in third-party marketplaces (iOS, Slack, Shopify, GitHub, Chrome, etc.).
• Prior work on administrative or platform-side tooling for ecosystems.
• Familiarity with conversational or agentic interfaces in production environments.
• Experience building evaluations to measure and improve the quality, reliability, and safety of AI-powered features.

Compensation

The expected salary range for this role is $171,000 - $240,000 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

the company LLC is a wholly owned subsidiary of Capital One, N.A.