Jobs · Analyst

CX Automation Performance Analyst

Betterment · New York, NY · 2 days ago
RemoteRemoteAnalyst$110k–$140k/yrFull-time

About the role

The CX Tooling & Innovation team at Betterment is responsible for the systems, AI programs, and automation that power our customer experience. Shipping AI is only half the job — keeping it performing is the other half. As our CX Automation Performance Analyst, you own the post-launch life of our AI programs. You ensure that what gets launched keeps working, keeps improving, and is well-documented enough that the whole organization can benefit from it.

  • You ensure that what gets launched keeps working, keeps improving, and is well-documented enough that the whole organization can benefit from it.
  • You identify performance degradation, intent gaps, hallucination, model drift, and guardrail failures across Zendesk AI, chatbots, ticketbots, and automation workflows.
  • You own the incident response process for AI quality issues — when performance degrades or a guardrail fails, you triage, escalate, and drive resolution with a clear post-mortem.
  • You serve as the primary admin for net-new AI tooling post-launch — including VoiceAI platforms, Zendesk AI agents, and any other tools handed off from the implementation phase.
  • You maintain active optimization backlogs for launched programs, ensuring improvements don't stall after initial implementation.
  • You drive post-launch iteration in partnership with the Chatbot Strategy Manager and tooling teams, tracking outcomes rigorously.
  • You own the AI program documentation library: runbooks, flow documentation, QA procedures, training guides, and internal knowledge base articles.
  • You maintain accurate records of AI program behavior, guardrails, and change history to support compliance and audit readiness.
  • You partner with the CX AI & Automation Manager during launch phases to establish performance baselines, define QA criteria, and ensure clean handoff documentation.
  • You build feedback loops from AI performance data to inform product, engineering, and CX leadership decisions — your insights should shape what gets built next, not just what gets fixed.

What We're looking for

  • Hands-on experience analyzing performance data from AI or automation tools in a support environment.
  • Understanding of common AI failure modes — hallucination, model drift, guardrail gaps, and intent misclassification — and the ability to design QA processes that catch them before they reach customers.
  • Proficiency with data visualization and reporting tools (e.g., Zendesk Explore, Looker, Tableau, or similar) and comfortable writing queries to validate AI performance data.
  • Strong documentation skills — you write clearly, organize well, and build resources people actually use.
  • Analytical and detail-oriented: comfortable building dashboards, running QA analysis, and spotting patterns in messy data.
  • Experience with Zendesk (or comparable CX platforms) and AI tools such as Zendesk AI, Decagon, or similar.
  • Experience in fintech, financial services, or another regulated industry where AI outputs are subject to compliance review and audit.
  • A continuous improvement mindset and systems thinker — you see how knowledge structure, prompt design, monitoring, and feedback loops connect, and you're never satisfied with "it launched."

Core Values

  • We change lives
  • We set audacious goals
  • We don't just show up; we give our all, then celebrate our wins.
  • We value all perspectives
  • We simplify financial services

What Happens Next

  • We'll take a few weeks to review all applications.
  • If we'd like to spend more time with you, we'll reach out to arrange next steps, which will include 3-4 sets of meetings with your future colleagues.
  • In the interview process, we'll look to learn more about your skills, experiences, capabilities, and motivators.
  • Depending on the role, we may ask you to complete a case study exercise or technical assessments, as we want to collect a robust set of data points to better inform our decisions.
  • On average, it takes us around 3-5 weeks to make a hiring decision, depending on your availability and sense of urgency.

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