Head of AI Engineering & Enablement @Tebra
Artificial Intelligence
Salary usd 224,000 - 2..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 2mths ago

[Hiring] Head of AI Engineering & Enablement @Tebra

2mths ago - Tebra is hiring a remote Head of AI Engineering & Enablement. πŸ’Έ Salary: usd 224,000 - 256,000 per year πŸ“Location: USA

Role Description

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.

With a small team, this role will focus on our internal operations β€” 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.

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.

Your Area of Focus

  • AI Strategy & Use Case Discovery
    • 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.
    • Audit and re-engineer business processes before automating them, so we improve how the work is done and not just how fast it runs.
    • Build and maintain an AI Opportunity roadmap that prioritizes use cases by ROI, feasibility and strategic impact in partnership with the functional leaders.
  • Build the Hardest Workflows
    • Perform deep-dive assessments to identify the highest-impact efficiency opportunities across all operating functions β€” then build them, don't just document them.
    • 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.
    • Own the shared patterns for retrieval, agent design, and secure system-of-record connectivity β€” including MCP servers, agent-to-agent orchestration, and API integrations β€” with permission-aware access across Gong, Salesforce, NetSuite, Snowflake, Slack, and Workato.
    • Design multi-agent systems where specialized agents hand off to each other across workflow steps, not just single agent automation.
    • 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.
    • 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.
    • Own the full lifecycle from rapid prototyping to production-grade deployment, including monitoring, evaluation frameworks, error handling, and iteration based on real usage data.
  • Governance
    • 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.
    • 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.
    • 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.
  • Enable the Functions
    • Partner with each function to find high-value use cases and help them build and ship the more routine, accessible agents themselves.
    • Coach AI owners inside each function, and run enablement and fluency programs so adoption scales beyond the central team.
    • 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.
    • Continuously identify emerging AI tooling, methodologies, and agent frameworks β€” evaluate new models and techniques to keep Tebra ahead of the curve.

Qualifications

  • 8+ years in software engineering, applied AI, or technical product roles, with a meaningful stretch spent hands-on and building in production β€” not directing from a distance.
  • An engineering background you still use. You can read and write code and ship production systems, not only manage people who do.
  • 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.
  • Hands-on experience shipping AI in a HIPAA-regulated or comparable environment β€” working within BAAs, maintaining audit trails, and keeping PHI out of non-covered tools.
  • A track record on operationally focused technology projects β€” workflow automation, systems integration, internal tooling β€” that demonstrably changed how a business runs.
  • Strong business acumen. You can sit with a function leader, understand their workflow end-to-end, and translate it into the right automation β€” including knowing when the right answer is to redesign the process first.
  • A process re-engineering instinct, with the judgment to fix the work before automating it.
  • A proven track record of driving adoption and behavior change within non-technical teams β€” not just shipping the tools, but building champions, running training, and sustaining usage until it becomes a habit.
  • Experience leading a small team and coaching others to build while staying hands-on yourself.
  • Excellent communication. You can brief the CEO and pair with an engineer on the same day, and those conversations feel equally natural.

Benefits

  • Competitive and fair compensation.
  • Variable pay opportunities.
  • Robust benefits package reflecting our commitment to your overall well-being.
  • Discount through Dell for work from home basics.
  • Access to Gympass for health and fitness resources.
  • Telus Employee Assistance Program for mental health resources.
  • Wellness and childcare subsidy in Costa Rica.
  • University/Education discount in Costa Rica.

Company Description

Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. Designed to replace the clunky, fragmented tools built for corporate systems, Tebra connects EHR software, billing, automation, telehealth solution, and marketing β€” so providers can spend less time on admin and more time with patients. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout β€” helping clinicians leave work on time and rediscover their purpose.

Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Head of AI Engineering & Enablement @Tebra
Artificial Intelligence
Salary usd 224,000 - 2..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 2mths ago
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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