About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.
As we scale, our billing operations have grown more complex, spanning multiple healthcare vendors and increasingly complex workflows. We are hiring a Software Engineer dedicated to optimizing and automating Artera’s billing workflow end‐to‐end. This engineer will design, build, and continuously improve an AI-driven pipeline that orchestrates our billing processes, integrates with our healthcare vendors, and reduces manual effort across the revenue cycle. The role blends hands‐on Salesforce development, AI-model fine-tuning, vendor integration work, and modern AI‐assisted engineering to deliver durable, self‐improving billing pipeline.
Equal Employee Opportunity: At Artera, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients and physicians. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.
•
Design, build, and maintain automated billing workflows in Salesforce, including Apex, Flow, Lightning Web Components, and platform integrations.
•
Architect and operate a continuously learning Salesforce-initiated AI-driven pipeline, that takes diagnostic test information as input and routes the order through our revenue lifecycle, relying on human intervention, partner APIs, and external systems, as needed.
•
Translate billing requirements from Finance, Revenue Operations, and Customer Success into well‐scoped engineering deliverables with clear SLAs, observability, and rollback paths.
•
Fine-tune document extraction AI models with support from Arteras AI team
•
Use AI Code-gen and other AI‐assisted development tools to accelerate delivery, generating, reviewing, and refactoring Salesforce and Python code.
•
Instrument the billing pipeline with monitoring, alerting, and audit trails so that failures, anomalies, and drift are caught early and resolved without manual triage where possible.
•
Continuously evaluate pipeline performance and incorporate feedback loops (rules, heuristics, and lightweight ML where appropriate) so the system gets more accurate and more autonomous over time.
•
Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
•
2+ years of professional software engineering experience shipping and operating production systems.
•
Demonstrated experience building using AI APIs (such as Claude, OpenAI, Gemini) is required, for example, building workflows to OCR PDFs, internal automations, or integration scaffolding
•
Strong proficiency in Python
•
Experience with version control (Git), CI/CD pipelines, automated testing
•
Comfort designing systems for observability — logging, metrics, alerting, and end‐to‐end traceability of billing transactions.
•
Strong written and verbal communication skills; able to work directly with Finance, Revenue Operations, and external vendor counterparts.
•
Hands‐on Salesforce development experience is preferred, including Apex, Flow / Process Builder, Lightning Web Components, SOQL/SOSL, and Salesforce REST/SOAP APIs.
- Artera Shapes the Future of Cancer Treatment Using Machine Learning on AWS
- How Artera AI test allowed Bruno to avoid hormone therapy
- Startups are using AI to predict responses to Cancer Drugs
- ArteraAI validates its Prognostic Model in Advanced Prostate Cancer
- How Artera Enhances Prostate Cancer Diagnostics Using AWS
In addition to base salary, equity is a core component of our compensation. We also offer 401k matching, unlimited paid time off (PTO), and more.
The base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process.