About the company Make healthcare #1 in customer service. What We Deliver: Artera is an agentic company strengthening how healthcare providers communicate and care for patients. As an agentic partner, we bring over a decade of healthcare experience to address urgent workflows from day one and build custom solutions as healthcare providers’ needs evolve. Trusted by 1,000+ specialties, FQHCs, health systems, and federal agencies, Artera strengthens and protects and enhances patient relationships across every interaction - from intake and scheduling to referral management, post-visit care, and more. Hear from our CEO, Guillaume de Zwirek, about why we are standing at the edge of the biggest technological shift in healthcare’s history! Our award-winning culture: Our award-winning culture: Since founding in 2015, Artera has consistently been recognized for its innovative technology, business growth, and named a top place to work. Examples of these accolades include: Inc. 5000 Fastest Growing Private Companies (2020, 2021, 2022, 2023, 2024); Deloitte Technology Fast 500 (2021, 2022, 2023, 2024, 2025); Built In Best Companies to Work For (2021, 2022, 2023, 2024, 2025, 2026). Artera has also been recognized by Forbes as one of “America’s Best Startup Employers,” Newsweek as one of the “World’s Best Digital Health Companies,” and named one of the top “44 Startups to Bet your Career on in 2024” by Business Insider. Applicants must be currently authorized and have the ability to provide proof of full-time, long-term authorization to work in the United States. We are unable to provide visa sponsorship or support visa transfers now or in the future. About the role Artera is hiring an AI Builder to build the agentic systems that deliver exceptional patient experiences for our customers — scheduling, referral coordination, medication refills, billing, payment estimation and more. You'll be a fully contributing builder inside a customer-facing squad bringing AI-native fluency in delivering end-to-end on your customers’ needs — owning initiatives from customer discovery through production operation, onboarding new customers onto what you build, and shipping enhancements that keep pace with the technical possibilities for a named subset of our provider customers. Your creativity should be boundless, your desire to deliver world class solutions unmatched, and your initiative and accountability to those outcomes as a new bar for our customers they themselves aspire to. At this level, you'll own customer outcomes independently with moderate supervision, bringing the curiosity of a product manager, the discipline of a project manager, and the agentic fluency of an engineer to your work. You'll develop real subject-matter expertise and long term relationships with senior healthcare executives, and internally teach and support newer builders and experiment and advocate for novel agentic techniques that make every Artera customer even more successful. Responsibilities Ownership: Own end-to-end delivery and realized outcomes for named customers. Represent Artera credibly in customer conversations, and raise the bar on the customer solutions the squad ships. Strategy: Identify customer pain and create a roadmap for solving their problems. Program Management: Align stakeholders, connect necessary data pipelines, and manage fast and painless onboarding onto our solutions. Agentic Development: Build novel solutions for named customers; translate their operational reality into technical solutions that you yourself architect and code with our internal agentic systems. Continuous Improvement: Instrument, monitor, and improve the reliability of what you ship; create enhancements based on what production actually tells you; participate in on-call where applicable. AI-native: your work across all dimensions will be inherently reliant on AI-native tools primarily using the CLI; which means you will own a greater breadth and volume of responsibility than a typical technologist. Domain Expertise: Develop and maintain subject-matter expertise in your customer segments (e.g. primary care, community health, orthopedics) and integration surface (e.g., scheduling, referrals, patient messaging, EHR/CCaaS). Mentorship: Mentor and onboard newer builders; review their work with a mindset for raising the bar on agentic techniques and customer orientation. Leadership: Contribute to squad-level prioritization and planning in partnership with the Head of Segment. Requirements 2 - 5 years of professional software engineering, data science, machine learning, product management, product design, or technical project management experience, or equivalent demonstrated output. Demonstrated AI-native fluency with measurable leverage — ability to produce output on par with multiple traditional engineers using AI-native tools (e.g., Claude Code in the terminal) as the primary working environment; ability to learn new technology quickly Track record of shipping solutions end-to-end that ran reliably in production, including the enhancements that followed. Ability to work directly and productively with customers — onboarding them, owning the relationship, and translating customer conversations into technical decisions. Curiosity of a product manager and discipline of a project manager: asks "why" before "how," scopes and sequences work, communicates status, and lands the work. Written and verbal communication sufficient to present complicated concepts to teammates, managers, and customers with the appropriate level of detail. Demonstrated ability to teach and support less senior teammates, and to raise the bar on the solutions the squad delivers to customers. Nice to have Prior experience in healthcare technology, digital health, or patient-facing products. Hands-on experience building production agentic systems, RAG pipelines, or MCP-based tool integrations. Familiarity with HIPAA, HITRUST, or FedRAMP compliance considerations in builds. Experience with EHR integrations (Epic, athena, eClinicalWorks, NextGen) or call center / CCaaS integrations. Experience writing evals and quality benchmarks for LLM-driven systems.
