AI Automation Engineer, Tebra
$101-115.5k
Salary may vary by location
Complete operating system for modern healthcare
Be an early applicant
Complete operating system for modern healthcare
1001+ employees
Be an early applicant
$101-115.5k
Salary may vary by location
1001+ employees
Company mission
To unlock better healthcare by helping independent practices bring modernized care to patients everywhere.
Role
Who you are
- This role requires deep technical execution skills in integration development, data modeling, and programming, combined with a practical understanding of AI workflows
- 2-5 years of experience in integration, automation, AI, software or data engineering, with 1+ year hands-on in Workato
- Proven expertise with Enterprise iPaaS required (Workato, Mulesoft, or similar)
- Proficiency in designing and implementing integrations across Salesforce, NetSuite, Slack, and Snowflake
- Hands-on technical background in ETL/ELT, Reverse-ETL, data modeling, SQL/T-SQL, and programming (Python, Ruby, or similar)
- Experience using vector databases such as Pinecone, Snowflake Cortex Search and pgvector
- Experience with AI/ML concepts and implementing AI workflows in enterprise environments
- Hands-on experience leveraging APIs and programming languages to build and maintain scalable enterprise integrations
- Experience with Cloud Platforms such as GCP or AWS preferred
- Hands-on experience using APIs and programming languages to build and maintain scalable enterprise integrations
- Experience with GitHub for version control, Jira for work tracking, and Confluence/Lucid for documentation
- Strong problem-solving, critical thinking, and ability to execute under minimal supervision
- Proficiency with Snowflake, Salesforce, and NetSuite, with strong architectural and automation design skills preferred
- Motivated to learn new technologies and develop new skills
- Track record of introducing innovation in automation and AI while maintaining governance and system reliability
- Workato Automation Pro or SnowPro certifications preferred
What the job involves
- We are seeking a hands-on AI & Automation Engineer to design, build, and optimize integrations, automations, and AI-driven workflows that power our enterprise data and business operations
- You’ll own the Workato automation stack, develop resilient data pipelines between core platforms (Salesforce, NetSuite, Snowflake, Slack), and implement AI-enabled capabilities that reduce manual work and accelerate insights
- You will collaborate directly with stakeholders to translate business needs into scalable, automated solutions — delivering measurable improvements in data accessibility, system efficiency, and operational performance
- Integration & Automation Development:
- Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake
- Implement error handling, observability, and reusable design patterns to ensure reliability and scalability
- Agentic System Design:
- Architect multi-agent systems: tool selection, planning loops, state management, human-in-the-loop Checkpoints
- Partner with stakeholders to design corporate systems (Salesforce, NetSuite, Snowflake, Slack, etc) as agent-callable tools, not just data sources
- Build guardrails, fallbacks and error recovery for non-deterministic workflows
- Data/RAG Pipeline Design & Management:
- Develop and automate ELT/ETL processes to support both BI Analytics and AI retrieval across similar datasets with different access patterns
- Build evaluation into every pipeline to ensure high quality results considering precision, answer faithfulness, latency and cost
- Own retrieval end-to-end including ingestion, chunking strategy, embeddings, vector storage and reranking as one connected system
- Implement data enrichment, quality checks, and architectural safeguards to maintain trusted datasets
- AI Operations:
- Production observability: prompt/response tracing, cost monitoring, eval dashboards
- Document agent behavior, decision logic and failure modes
- A/B testing agent versions, model comparisons
- Programming for Automation:
- Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks
- Governance & Documentation:
- Apply data governance practices for lineage, security, and retention
- Maintain technical documentation, diagrams, and version control via GitHub, Confluence, and Jira
Application process
- As part of our commitment to a fair and efficient hiring process, Tebra utilizes BrightHire, an interview intelligence platform, for our phone and video screenings
- This technology records and transcribes interviews to help us ensure consistency, reduce bias, and make more informed hiring decisions. By applying for this position, you acknowledge that your interview may be recorded
Our take
The digital age has demanded that healthcare providers offer services that are more modern but human. Tebra – a marriage of Kareo and PatientPop – offers cloud-based clinical and practice management software for independent healthcare practices that strive to achieve this goal.
Its genesis, a company merger between clinical and financial software and a leader in practice growth technology, has led to an all-in-one platform that is the first of its kind to serve a complete operating system for practices. Whilst competition among similar infrastructure grows, it remains a huge market in which both patients and practitioners are clamouring for solutions, allowing space for new and existing companies to build.
Tebra serves over 150,000 providers , and plans to use its lastest funding to deepend the role of AI across its EHR+ platform. By embedding intelligent capabilities into everything from clinical documentation and revenue cycle management to patient experience and practice marketing, the company aims to reduce administrative burden while helping practices operate more efficiently and profitably at scale.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-5% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Dec 2025
$125m
EARLY VC
Jul 2022
$72m
EARLY VC
Total funding: $262m
Company benefits
- Competitive compensation packages
- Employee referral program
- Stock options
- Hybrid work model
- Equipment stipend when hired
- Monthly work-from-home subsidy
- Indoor-outdoor workspaces
- Flexible, paid time off
- 10 paid holidays
- Employee recharge days
- Financial health tools
- Gympass
- Fun Express
- Annual fitness challenge
- Obé Fitness
- Competitive medical, dental, and vision insurance
- 401k
- Employer-funded HSA
- Life and disability insurance
- Employee assistance program
- Accident insurance, critical illness insurance, legal & identity theft protection, pet discount program
- Mentorship program
- Professional development training
- Employee resource groups
- Dedicated DE&I
- Special events and speakers
- Community volunteer events
- Sponsored team events and sports
- Recognition Program
Company HQ
Corona Del Mar, Newport Beach, CA
Leadership
Dan Rodrigues
(Co-Founder & CEO)Previously co-founded Scout and Kareo, serving as CEO for both. Experience as a Software Engineer for RealNetworks and a Managing Partner for Skematix.
Mike Doktorczyk
(CFO)Mike joined Tebra in 2023 as a VP of Finance & Rev Ops, moving into the role of CFO in 2024. Prior to this, he spent nearly 4 years at USerTesting as a Senior VP of Finance.
Kyle Ryan
(CPO & CTO)Prior to joining Tebra in 2018, Kyle was a Director of Deals Strategy at Strategy& and a VP of Product Development at Intuit. He also spent over 13 years at Sony Online Entertainment as a Director/VP of Technology.
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