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. WHAT YOU’LL DO 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. WHAT YOU’LL BRING 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/TypeScript—either is welcome, both is a plus Comfort with SQL and relational data models Experience consuming and integrating REST APIs, including authentication, pagination, and error handling Familiarity with version control and exposure to how code gets deployed and run in a real environment (containers, CI, logging, or monitoring). You don’t need production DevOps experience, but you do need to have seen how software gets from a laptop to somewhere it actually runs. Daily use of AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot). This is how we build—we expect it to be part of your normal workflow, not something you’ve only tried. Demonstrable interest in the commercial side of business—sales, revenue, pricing, growth. A course, a side project, a startup you worked at, or an internship where you sat near revenue. Genuine interest in healthcare operations. You don’t need a clinical or health-tech background, but we want people who care that the outcome of this work is our health system operating more efficiently. Excellent communication, written and verbal. In writing: Documentation, requirements, status updates, and clear explanations for people who don’t code. Out loud: Running working sessions with stakeholders, demoing what you built, surfacing real requirements, and pushing back respectfully when asked for the wrong thing. BONUS POINTS IF YOU HAVE Developer or admin experience with Salesforce (Apex, SOQL, Flow) or HubSpot, including native API integrations and certifications Practical understanding of Revenue Operations and revenue mechanics like ACV, ARR, quotas, commissions, billing, and quoting systems Workflow automation experience using iPaaS platforms like n8n, Zapier, Workato, Make, or the Notion API Data engineering and analytics background, including data warehousing (Snowflake, BigQuery, dbt), ETL pipelines, or BI platforms (Tableau, Looker, Power BI) Exposure to modern GTM tooling across sales engagement, prospecting, or marketing (e.g., Clay, ZoomInfo, Apollo, Outreach, Gong, Marketo) Hands-on DevOps experience running code in real environments using Docker, AWS, CI/CD pipelines, or Infrastructure-as-Code Hands-on generative AI development that goes beyond coding assistants to include LLM APIs, RAG, embeddings, vector search, or AI frameworks WHAT YOU’LL GET Intellectual and emotional satisfaction of solving tough operational problems in healthcare while improving patient access and saving lives! Competitive compensation package that includes base salary, target bonus, and stock options 401(k) Match Comprehensive healthcare benefits Generous Paid Time Off and Parental Leave Monthly reimbursement for Skill Building Monthly reimbursement for Wellness, Transportation, and/or Home Office Education Reimbursement for select courses/programs $85,000 - $115,000 a year LeanTaaS takes a market-based approach to pay. The offered base salary will reflect careful consideration of a number of factors, including the level you are hired into, your location, skills and qualifications, prior relevant experience, internal equity, and market conditions. This range may be modified in the future. Candidates must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. LeanTaaS is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone. All qualified applicants for employment will be considered without regard to race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you require assistance during the application process, please reach out to [email protected]. LeanTaaS will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law. Please note: LeanTaaS is not accepting agency resumes at this time, and we are not responsible for any fees related to unsolicited resumes. Thank you. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.