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 BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp 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 are 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.
What you’ll do:
MCP & AI Workflow Engineering
Implement and scale our Model Context Protocol (MCP) to support secure, composable AI workflows across Slack, Jira, Salesforce, GitHub, 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.
Automation & Integration Development
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.
Security, Identity & System Governance
Work with InfoSec 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.
Cross-Functional Collaboration
Attend cross functional standups, Architecture Roundtables, 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.
What Success Looks Like
MCP server scaled and adopted across multiple workflows with stable, secure integrations
Automation measurably reduced manual data entry through bulk import and automation tooling (e.g., 50% reduction).
Onboarding and provisioning latency improved through identity automation (e.g., 30% faster completion).
Clear documentation, playbooks, and dashboards enable stakeholders to self-serve with AI tools and automation templates, not rely on ad-hoc IT custom work.
All automation systems have strong test coverage, robust monitoring, and meet security review requirements, with audit-ready logs for provisioning and data movement.
Impact is visible and quantified through simple time-saved and adoption metrics layered on top of Jira, dashboards, and usage telemetry.
If you have some or all of the following, please apply:
This is a hands-on AI automation role focused on production systems. Candidates without experience shipping AI-enabled automations or orchestration workflows into real environments are unlikely to be a fit.
• 3–6 years of professional experience in software or systems engineering, with demonstrated ability to independently own backend services, integrations, or automation workflows end to end.
• Direct experience integrating AI capabilities into production systems, including orchestrating LLM-powered workflows across APIs, event-driven systems, and internal services. (This is not a research or prompt-only role.)
• Hands-on experience designing AI-assisted automations that operate on real business data with appropriate context, permissions, and safeguards.
• Strong experience with automation and orchestration platforms, such as n8n, Zapier, or custom-built orchestration frameworks, used to automate real operational workflows.
• Hands-on experience building pipelines or automations using MCP, Step Functions, or equivalent event-driven architectures.
• Demonstrated experience integrating APIs and building automations across complex SaaS ecosystems.
• Strong scripting or development skills (e.g., Python, Ruby/Rails, or JavaScript) for writing custom connectors, services, or data transformations.
• Familiarity with common SaaS platforms such as Okta, Jira, Slack, Workday, Google Workspace, FreshService, and their APIs.
• Experience working with authentication protocols (e.g., SAML, OAuth) and cloud platforms such as AWS or GCP.
AI at BetterUp
Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology – people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you’ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact.
Benefits:
At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.
Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Medical, dental, and vision insurance
Flexible paid time off
Per year:
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