Associate GTM Engineer

We are a growth stage company that creates software solutions combining lean principles, predictive and prescriptive analytics, and machine learning to transform hospital and infusion center operations. More than 190 health systems and over 1,200 hospitals and centers across 49 states rely on our award-winning products and expert change management services to increase patient access, decrease wait times, and reduce healthcare delivery costs.

We have raised more than $300 million from top-tier investors such as Bain Capital, Insight Partners, and Goldman Sachs. We have been named among the top 100 AI companies in the world.

Please note that while this role is listed as available for remote, we are currently employing in the following states: AK, AZ, CA, CO, CT, DC, FL, GA, IA, IL, IN, KS, KY, LA, MA, MD, ME, MI, MO, MT, NC, NH, NJ, NV, NY, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI, WV. If your state is not listed, we may not be able to proceed with your application.

We have offices in Santa Clara, CA and Charlotte, NC for employees who prefer to work regularly or occasionally from an office.

LeanTaaS builds AI-powered software that helps hospitals optimize their capacity—getting patients into operating rooms and infusion chairs faster. Our Revenue Engineering team builds the internal applications, API integrations, and automation that power our commercial engine.

We are hiring an Associate GTM Engineer to own and build that layer.

This is a software engineering role embedded inside a revenue team. You’ll write code, deploy services, and integrate systems. You don't need Revenue Operations experience—our team has deep domain expertise and will teach you the business. What we need are strong software fundamentals, clean code practices, and curiosity about how a business operates.

Because our current systems were built by ops specialists rather than formal developers, you will bring proper software engineering practices—deployment, monitoring, and maintainable design to our stack, giving you direct influence over our technical standards from day one.

• Build & Scale End-to-End Pipelines:
  Convert manual processes across analytics, legal, and commissions into automated, reliable, and fully documented data pipelines.
• Integrate the Revenue Stack:
  Connect disconnected CRM, billing, and finance systems (including acquired platforms) using custom APIs, data pipelines, and reconciliation logic.
• Ship & Operate Internal Applications:
  Deploy containerized AWS services and leverage AI coding tools to support deal desk, quoting, enablement, and sales operations.
• Drive Automation:
  Eliminate recurring manual tasks such as lead enrichment, data hygiene, and quota adjustments.
• Establish Engineering Standards:
  Introduce proper software practices to the team, including version control discipline, practical testing, robust error handling, and proactive system monitoring.
• Support Commercial Tools:
  Maintain and optimize system handoffs between Sales, Implementation, Contracting, Legal, and Finance.
• Diagnose & Resolve Incidents:
  Rapidly troubleshoot data issues, pipeline failures, and system edge cases independently using established patterns.
• Eliminate Single Points of Failure:
  Create clear documentation—covering architecture, assumptions, and runbooks—and cross-train team members.
• Bridge Business & Engineering:
  Work directly with non-technical stakeholders (Sales, Finance, Legal) to gather requirements, demo builds, manage expectations clearly, and translate business needs into technical solutions.

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
• 0–2 years of professional software experience
• Working fluency in Python and/or JavaScript/Type Script—either…