Zillow

Senior Data & AI Operations Specialist

Zillow

full-time

Posted on:

Location Type: Remote

Location: CaliforniaConnecticutUnited States

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Salary

💰 $98,900 - $158,100 per year

Job Level

Tech Stack

About the role

  • Collaborate with stakeholders to map and improve operational processes, identifying opportunities for automation and analytics.
  • Design, build, and iterate on low-code and AI-enabled workflows using tools such as n8n (a low-code automation platform), Zapier, and OpenAI Agent Builder.
  • Translate business needs into reliable, production-grade automations, including exception handling and human-in-the-loop checkpoints.
  • Develop and maintain evaluation sets, define quality thresholds, and run A/B tests to measure AI workflow performance.
  • Integrate automation into dashboards and reporting, ensuring clean, timely, and well-governed data is available to the right teams.
  • Track and communicate the impact of automation and AI solutions on cycle time, accuracy, cost, efficiency, and risk.
  • Proactively review new and existing applications and SaaS platforms to identify embedded or emerging AI capabilities.
  • Lead pilots and proofs of value for new workflows or AI capabilities, incorporating stakeholder feedback and success criteria.
  • Provide training and enablement to Legal & Compliance teams, supporting adoption and ongoing improvement.
  • Partner with the Compliance Training team to create and incorporate AI use case specific policies and procedures into required learning programs.

Requirements

  • 5+ years of experience in data operations, analytics, legal operations, or a related field, with hands-on experience designing or operating automated workflows.
  • Proficient with low-code automation tools (e.g., Zapier, n8n) and integrating APIs and webhooks.
  • Experience working with AI platforms (e.g., ChatGPT Enterprise or similar large language models), including prompt design and evaluation.
  • Familiarity with relational and semi-structured data models; experience writing SQL and with data platforms such as Databricks is a plus.
  • Experience with data integration tools (e.g., Airbyte), including handling schema changes and coordinating with data engineering.
  • Familiarity with Git-based version control (e.g., GitLab) for managing low-code assets and approvals.
  • Ability to communicate complex technical concepts clearly to legal and business stakeholders.
  • Strong understanding of governance, privacy, and security principles, especially regarding PII and responsible AI use.
  • Proven ability to plan and execute initiatives independently in a fast-paced environment.
  • Excellent collaboration and communication skills, with a solution-oriented mindset.
Benefits
  • equity awards based on factors such as experience, performance and location

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
low-code automationAI-enabled workflowsexception handlingA/B testingSQLdata integrationprompt designdata operationsanalyticsautomated workflows
Soft skills
collaborationcommunicationsolution-oriented mindsetindependent initiative executionstakeholder feedback incorporationtraining and enablementprocess improvementimpact trackingtechnical concept communicationproactive review