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ProviderTrust

SaaS platform automating healthcare compliance monitoring

AI GTM Engineer - Revenue Operations

Sales OperationsConfirmed live in the last 24 hours
Full-timeNashville, TN, USANo salary listed

About the Job

Requirements

  • A strong sense of curiosity and an interest in figuring out how things work.
  • Two years of experience with Claude Code.
  • Five or more years of experience in Revenue Operations, Sales Operations, Business Systems, or related roles.
  • Hands-on experience with customer relationship management platforms such as Salesforce and business intelligence tools such as Domo or Tableau.
  • Familiarity with AI and large language model tools, prompt engineering, or workflow automation.
  • A portfolio of automations or AI solutions built and shipped, demonstrating the problems solved and how they were addressed; resume specifications are secondary to this work, and this requirement is non-negotiable.
  • Hands-on experience building with large language models and agents in production or internal tooling, including tool calling, Model Context Protocol, and evaluating output quality; candidates should be able to architect solutions, not just prompt.
  • Experience managing cross-functional projects and driving adoption of new tools or processes.
  • Ability to prioritize multiple initiatives.
  • Strong communication skills and ability to work effectively across teams.
  • A strong background in languages such as Python, SQL, R, and related coding languages.
  • Direct hands-on experience with API integrations.
  • A bias toward shipping, with end-to-end ownership of builds in a function that is still being established.
  • A bachelor's or master's degree in information systems, computer science, data science, AI, or engineering, or equivalent practical experience.

Responsibilities

  • Identify, prioritize, and deploy high-impact AI use cases across go-to-market teams.
  • Design and implement AI-powered workflows to improve productivity and reduce manual effort.
  • Enable natural-language access to customer relationship management and business intelligence data to improve self-service analytics.
  • Own and manage the AI technology stack, including large language model platforms, copilots, and integrations.
  • Prototype quickly and put a working first version in front of users within days; add guardrails and human-in-the-loop checkpoints where decisions carry risk.
  • Own shipped solutions, including monitoring, error handling, and documentation.
  • Establish feedback loops and continuously improve AI tools, prompts, and workflows.
  • Track and report adoption, productivity gains, and revenue impact of AI initiatives.
  • Report return on investment, including time saved, revenue impact, cycle-time reduction, and headcount leverage.
  • Build AI agents and workflow automations using Claude, Model Context Protocol connectors and APIs, and tools such as Zapier, Claude Code, DOMO MCP, and custom Python or JavaScript.
  • Use the data stack to connect insights across the customer relationship management system, business intelligence layer, and top- and bottom-of-funnel data points so agents use clean, trusted data.
  • Integrate the go-to-market stack, including Salesforce, Slack, Gmail, Zoom, and call-recording solutions, and write data back to systems of record rather than creating shadow processes.
  • Build lead and account intelligence, forecasting inputs, representative-facing copilots, and multichannel sequences such as LinkedIn, email, calls, and SMS.

Desired Qualifications

  • Experience deploying AI or automation solutions within go-to-market teams.
  • Knowledge of APIs, integrations, and no-code or low-code platforms.
  • Experience building self-service analytics or automated reporting solutions.
  • Familiarity with data governance, security, and compliance best practices.

About the Company

ProviderTrust

SaaS platform automating healthcare compliance monitoring

ProviderTrust provides a SaaS platform that automates ongoing monitoring of healthcare providers, vendors, and networks to ensure regulatory compliance and reduce risk. It runs ongoing checks for OIG and GSA exclusions, Medicaid sanctions, and state exclusions, while verifying licenses and credentials and screening sanctions, integrating with HR, Compliance, and Provider Operations workflows. A notable feature is DynamicNPI, which creates verified provider profiles using a National Provider Identifier. The goal is to help healthcare organizations keep provider networks compliant and up to date, minimizing fraud, waste, and abuse.

Company size
51-200
Company stage
Series B
Total funding
$1.8M
Headquarters
Nashville, TN
Founded
2010

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