AI Automation Engineer

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can’t cram it all in here, but you’ll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck.

You get a personal Better Up Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal Better Up Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game‑changing, career‑defining, soul‑lifting move.

Join us and we promise you the most intense and fulfilling years of your career, doing life‑changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking.

We’re a hybrid company with a focus on in‑person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include Austin, TX;
Chicago, IL;
New York City, NY;
San Francisco, CA; and the Washington, DC metro area. If this is a role based in Europe, our Europe hub locations are London, UK and Amsterdam, NL. Please ensure you can realistically commit to this structure before applying.

We’re looking for an AI Automation and Integration Engineer to join our rapidly evolving IT & AI Workspace Technology team. This role is for a hands‑on builder who thrives on creating smarter, more connected systems—someone who can transform manual workflows into intelligent, AI‑enabled automations using cutting‑edge tools like Model Context Protocol (MCP), Slack workflows, and secure system integrations. You’ll design and implement scalable automations across our SaaS ecosystem, partner closely with our AI product and infrastructure teams, and bring a high degree of technical rigor and curiosity to every problem you solve.

This is a key role on a small, fast‑moving team where your work will directly impact how we scale, automate, and future‑proof our internal operations.

• Implement and scale our Model Context Protocol (MCP) to support secure, composable AI workflows across Slack, Jira, Salesforce, Git Hub, AWS‑based infrastructure, LLM providers (e.g., Claude), and internal APIs.
• Design agentic systems that enable AI tooling to integrate seamlessly with operational data and user identity services.
• Author requests for comments (RFCs), technical requirements documents (TRDs), and internal documentation to align MCP features with enterprise use cases.

• Build and maintain scalable automations and secure APIs to reduce operational overhead in onboarding, provisioning, and data lifecycle management.
• Own development and maintenance of reusable modules for identity sync, data uploads (e.g., CSV bulk importers), and AI‑to‑API orchestration.
• Drive continuous improvement across automation platforms by collaborating with stakeholder teams across the business.

• Work with Info Sec and IT teams to enforce role‑based access controls and SAML/SSO integrations.
• Harden identity workflows across US and EU regions, ensuring compliance with internal and external standards.
• Support audit readiness through traceable change management and data integrity practices.

• Attend cross functional standups, Architecture Round tables, and AI working groups to ensure engineering solutions align with company goals.
• Partner closely with stakeholders to balance speed and safety in fast‑moving pilot initiatives.
• Advocate for test‑driven development (TDD), documentation, and open source‑inspired code reusability.

• MCP server scaled and adopted across multiple workflows with stable, secure integrations.
• Automation measurably reduced manual data entry through bulk import and…