Associate GTM Engineer

Summary

LeanTaaS creates AI-powered software that combines lean principles, predictive and prescriptive analytics, and machine learning to improve hospital and infusion center operations. The Associate GTM Engineer will build and operate software, data pipelines, integrations, and automation for the company’s commercial engine while establishing sound engineering practices and partnering with business stakeholders.

Responsibilities

• 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

Skills

• - 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
• Candidates must be legally authorized to work in the United States
• 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
• - 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

Qualifications

Must Haves

• - 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
• Candidates must be legally authorized to work in the United States
• 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

Nice to Haves

• - 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

Benefits

• Target bonus
• Stock options
• 401(k) Match
• Comprehensive healthcare benefits
• Generous Paid Time Off
• Parental Leave
• Monthly reimbursement for Skill Building
• Monthly reimbursement for Wellness, Transportation, and/or Home Office
• Education Reimbursement for select courses/programs
• Remote work arrangement