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HealthEquity

Manages HSAs and consumer-directed benefits

Automation Operations Specialist

Customer ExperienceConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in Business, Information Systems, Operations Management, Computer Science, or a related discipline is preferred; equivalent experience may be considered.
  • At least 3 years of experience in support operations, customer operations, automated operations, support engineering, chatbot or AI agent configuration, digital support, workflow automation, quality, training, process improvement, or related functions.
  • Ability to analyze operational problems, document workflows, test solutions, and drive practical improvements.
  • Hands-on experience configuring AI agents, chatbots, automation tools, support workflows, or low/no-code tooling is required.
  • Ability to translate frontline operational knowledge into AI agent improvement opportunities, automation requirements, and testable solutions.
  • Fluency with low/no-code development tools, prompt and workflow configuration, reporting tools, and operational systems.
  • Understanding of conversation design, including how tone, structure, flow, context collection, and escalation timing shape the member experience.
  • Technical comfort working with integrations, workflow builders, configuration tools, and operational systems without requiring engineering support for every change.
  • Understanding that enabling AI agents to take action requires attention to guardrails, edge cases, validation, privacy, compliance, and safe execution paths.
  • Ability to use metrics such as automation rate, containment, resolution rate, customer satisfaction, escalation rate, repeat contact, and defect trends to evaluate AI capabilities and identify areas for iteration.
  • Analytical, problem-solving, documentation, and communication skills.
  • Ability to work across business and technical teams, manage ambiguity, and deliver measurable outcomes through iterative improvement.
  • Sound judgment regarding member experience, operational risk, compliance, privacy, and data handling expectations.
  • Ability to perform work at a computer station for extended periods and function in an environment with frequent interruptions.
  • Ability to use a telephone, headset, keyboard, and standard office equipment, with or without reasonable accommodation.

Responsibilities

  • Monitor deployed Member Services AI support experiences in production using containment, automation rate, resolution rate, escalation patterns, transfer accuracy, repeat contact impact, sentiment, quality outcomes, and member experience trends.
  • Design, tune, and test conversation flows, triage logic, prompts, knowledge content, detection attributes, guidance rules, tone, structure, and handoff behaviors across high-volume and high-impact support use cases.
  • Create and maintain AI optimization backlogs, including defect tracking, improvement hypotheses, testing notes, release documentation, and expected business impact.
  • Configure AI agent behaviors and workflow logic so automated experiences can safely take action, route cases, collect required context, surface relevant account or issue details, and escalate exceptions to the appropriate human support path.
  • Analyze conversational data, frontline feedback, escalations, and support outcomes to identify opportunities to improve accuracy, resolution quality, and efficiency.
  • Partner with leaders and technical teams to prioritize improvements that increase automation effectiveness while maintaining compliance, quality, and member trust.
  • Identify manual workflows, operational pain points, and teammate experience opportunities where AI agent action-taking, workflow automation, or lightweight tooling can improve speed, accuracy, consistency, or productivity.
  • Design, build, test, troubleshoot, and support low/no-code tools, internal automations, AI agent workflows, and operational aids for Member Services users.
  • Document build standards, user instructions, support processes, access requirements, and operational controls for tools owned or maintained by Automated Operations.
  • Support integrations between AI support experiences and approved internal systems or vendor platforms so agents can retrieve information, trigger defined actions, support status awareness, and reduce manual handling when appropriate.
  • Design guardrails, validation logic, exception handling, and escalation paths for automated workflows that affect member outcomes, account servicing, or operational decision-making.
  • Support pilots and launches of automation solutions, including training, feedback collection, adoption tracking, and post-launch improvement planning.
  • Maintain awareness of enterprise technology standards, security requirements, data handling expectations, and change management practices.
  • Follow governance practices for testing, documentation, user acceptance, safe execution, release readiness, defect management, auditability, exception handling, and ongoing production support.
  • Participate in regular inspection rhythms for AI agent performance, automation outcomes, workflow reliability, incident trends, and operational risk areas.
  • Escalate issues requiring Product, Engineering, Compliance, Privacy, Security, or operational leadership review.
  • Translate operational requirements into clear user stories, acceptance criteria, process maps, test cases, and prioritized improvement work.
  • Help ensure AI and automation experiences are understandable, measurable, supportable, and aligned with Member Services operating expectations.
  • Contribute to the creation of repeatable Automated Operations playbooks, templates, standards, and training materials.
  • Share practical knowledge with Member Services team members learning low/no-code development, AI agent optimization, automation testing, and operational governance.
  • Support short-term assignments, pilots, and capability-building efforts that convert Member Services domain expertise into scalable automated operations capacity.
  • Stay current on AI support technology, internal tools, workflow automation capabilities, and practical use cases relevant to Member Services.

Desired Qualifications

  • Experience with platforms such as Intercom, Zendesk, Salesforce, contact center AI platforms, workflow builders, or similar tools.
  • Experience designing conversation flows, prompts, tone, structure, intent detection, categorization logic, or AI-to-human handoff experiences.
  • Experience working with integrations, APIs, workflow builders, system configuration, or technical implementation partners.
  • Experience working in regulated, compliance-focused, or quality-sensitive support environments.

About the Company

HealthEquity

Manages HSAs and consumer-directed benefits

HealthEquity administers Health Savings Accounts (HSAs) and other consumer-directed benefits such as FSAs, HRAs, COBRA, and Commuter plans for partners like benefits advisors and health plans. Its platform manages account programs end-to-end—eligibility, contributions, investments, claims, and reimbursements—while offering a digital interface for members to manage funds and understand eligible expenses. The company differentiates itself by serving over 16 million members and focusing on consumer-directed benefits, backed by intuitive technology and strong customer service. HealthEquity’s goal is to simplify and optimize health savings and related benefits to help people manage medical costs and improve long-term financial wellbeing.

Company size
1-10
Company stage
IPO
Headquarters
Draper, UT
Founded
2002

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