Tebra provides an integrated EHR+ platform that streamlines clinical, billing, telehealth, and marketing workflows for private healthcare practices.
<div class="content-intro"><p>Tebra only initiates contact with candidates via email from an official Tebra email address (@<a class="c-link" href="http://tebra.com/" target="_blank" data-stringify-link="http://tebra.com" data-sk="tooltip_parent">tebra.com</a>, @<a class="c-link" href="http://patientpop.com/" target="_blank" data-stringify-link="http://patientpop.com" data-sk="tooltip_parent">patientpop.com</a>, or @<a class="c-link" href="http://kareo.com/" target="_blank" data-stringify-link="http://kareo.com" data-sk="tooltip_parent">kareo.com</a>) or through our applicant tracking system, Greenhouse. We will only ask you to provide sensitive personal information through our official application portal — not via social media or text message. We do not conduct interviews via instant messaging.</p></div><h1>About the Role</h1> <p>We are hiring a hands-on player coach to lead AI across how Tebra runs as a company. You will be building alongside a small team of one to two engineers while simultaneously leading process re-engineering engagements with functional leaders. You will ship code, design agents and re-engineer workflows, while also leading the team around you.</p> <p>With a small team, this role will focus on our internal operations — not the AI in our product. It covers how every function works, how fast we move, and how much leverage each person has. As we scale toward $300M+ in ARR, the goal is to decouple growth from headcount and build an operation that runs leaner as it gets bigger.</p> <p>Most of the value comes from re-engineering the work itself, so you will pair deep engineering and applied AI skill with strong business judgment and a relentless focus on outcomes.</p> <h1>Your Area of Focus</h1> <div>AI Strategy & Use Case Discovery</div> <ul> <li>Work with the CEO, CFO, and CPO to identify where AI can drive the greatest efficiency and operating leverage across the organization, and prioritize accordingly.</li> <li>Audit and re-engineer business processes before automating them, so we improve how the work is done and not just how fast it runs.</li> <li>Build and maintain an AI Opportunity roadmap that prioritizes use cases by ROI, feasibility and strategic impact in partnership with the functional leaders.</li> </ul> <div>Build the Hardest Workflows</div> <ul> <li>Perform deep-dive assessments to identify the highest-impact efficiency opportunities across all operating functions — then build them, don't just document them.</li> <li>Design and build high-value internal agents and automations that address the hardest problems inside our operating functions. Stay hands-on in the build yourself; this is not a role where you commission others and review outputs.</li> <li>Own the shared patterns for retrieval, agent design, and secure system-of-record connectivity — including MCP servers, agent-to-agent orchestration, and API integrations — with permission-aware access across Gong, Salesforce, NetSuite, Snowflake, Slack, and Workato.</li> <li>Design multi-agent systems where specialized agents hand off to each other across workflow steps, not just single agent automation.</li> <li>Build and maintain the organizational context layer, the connective tissue that makes Tebra queryable; meeting capture, knowledge connectors, MCP servers into our core systems and permission aware retrieval so agents and people have a single source of truth.</li> <li>Develop and maintain a library of reusable skills, frameworks, and how to guide, allowing one person’s breakthrough workflow scale to the entire organization and the programs compound over time.</li> <li>Own the full lifecycle from rapid prototyping to production-grade deployment, including monitoring, evaluation frameworks, error handling, and iteration based on real usage data.</li> </ul> <div>Governance</div> <ul> <li>Define the approved tools, data-handling rules, build standards, and a shared reference architecture for AI across Tebra's operating functions, in partnership with Legal and Security.</li> <li>Own how agents are deployed and monitored once live, ensuring full HIPAA compliance and strict adherence to our data privacy and security policies for PHI, without slowing teams down.</li> <li>Stand up an AI risk register, acceptable use policy, and audit trail standards for all production agents, and maintain them as the tooling landscape evolves.</li> </ul> <div>Enable the Functions</div> <ul> <li>Partner with each function to find high-value use cases and help them build and ship the more routine, accessible agents themselves.</li> <li>Coach AI owners inside each function, and run enablement and fluency programs so adoption scales beyond the central team.</li> <li>Build genuine on-ramps for less-technical teams: role-specific training, prompt libraries, office hours, and ready-to-use templates that make AI approachable across every level of the org.</li> <li>Continuously identify emerging AI tooling, methodologies, and agent frameworks — evaluate new models and techniques to keep Tebra ahead of the curve.</li> </ul> <h1>Your Professional Qualifications</h1> <div>Technical Foundation</div> <ul> <li>8+ years in software engineering, applied AI, or technical product roles, with a meaningful stretch spent hands-on and building in production — not directing from a distance.</li> <li>An engineering background you still use. You can read and write code and ship production systems, not only manage people who do.</li> <li>Deep applied AI experience designing and deploying multi-agents systems, RAG pipelines, agent-to-agent orchestrations, MCP servers, and API integrations into systems of record, and LLM-based workflows in production.</li> <li>Hands-on experience shipping AI in a HIPAA-regulated or comparable environment — working within BAAs, maintaining audit trails, and keeping PHI out of non-covered tools.</li> </ul> <div>Business & Operational Judgment</div> <ul> <li>A track record on operationally focused technology pr