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Measured

Audience-level attribution and incrementality testing

Technical Operations Specialist 1

Customer SupportConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listed

About the Job

Requirements

  • 2–3 years of relevant professional experience, including at least 1 year of hands-on experience working with AI tools.
  • Basic technical aptitude and ability to learn data platforms, software applications, AI tools, and agentic approaches to operational workflows.
  • Proficiency in Python and/or Node.js.
  • Advanced SQL knowledge.
  • Working knowledge of Jira, Angular, Snowflake, and AWS.
  • Excellent spoken and written English communication skills with a customer-friendly, professional tone.
  • Ability to troubleshoot issues systematically and solve problems.
  • Ability to manage multiple priorities and work effectively in fast-paced environments.
  • Experience using ticketing systems such as Zendesk, Intercom, Freshdesk, or Jira Service Desk, or willingness to learn.
  • Basic Excel or Google Sheets skills for data review and validation.
  • Ability to interpret data and identify actionable needs.
  • Willingness to learn technical skills and develop expertise in data platforms and marketing technology.
  • Ability to write clearly and speak with customers without unnecessary technical jargon.
  • Reliable, punctual, and committed to meeting commitments and service-level agreements.
  • Receptiveness to feedback and commitment to continuous improvement.

Responsibilities

  • Handle client interactions professionally, accurately, and responsively while maintaining a client-first focus.
  • Own assigned tickets from acknowledgement through investigation, resolution, and closure, communicating clearly throughout.
  • Proactively pick up tickets and support teammates to maintain balanced workload distribution.
  • Meet response and resolution service-level agreement timelines and communicate proactively about anticipated risks or delays.
  • Deliver clear, complete, and accurate work while reducing errors and rework.
  • Identify and address issues early, collaborate with teammates, and escalate internally when needed to prevent client impact.
  • Take responsibility for outcomes, learn from challenges, and continuously improve work.
  • Keep teams informed with timely, clear updates, including transparent communication about constraints or delays.
  • Follow established standard operating procedures and best practices, identify inefficiencies, and share improvement ideas.
  • Work with Engineering, Product, and other teams to resolve issues efficiently and contribute to shared accountability.
  • Investigate data quality questions by validating data availability and performing basic accuracy checks.
  • Identify obvious data gaps or anomalies and document findings for Technical Support Engineer review.
  • Verify integration status and confirm data is flowing from advertising platforms and analytics tools.
  • Check for common data issues, including missing credentials, expired tokens, and configuration errors.
  • Escalate data integrity issues to Technical Engineers with clear documentation of symptoms and customer impact.
  • Document support interactions accurately in the ticketing system for future reference.
  • Contribute to internal troubleshooting guides, FAQ responses, and process updates.
  • Maintain customer-facing knowledge base articles and help center content.
  • Identify recurring questions and suggest knowledge base articles or self-service resources.
  • Share learnings with team members to improve collective knowledge and support quality.
  • Develop and train AI agents to automate end-to-end TechOps workflows.
  • Build dashboards and views that surface data for operational problem-solving.
  • Enhance monitoring across end-to-end pipelines, identify potential breakages early, and drive fixes.
  • Create sub-agent skills and continuously enhance them to deliver more valuable outcomes.

Desired Qualifications

  • 1–2 years of experience in customer support, technical support, or customer success in B2B SaaS or technology companies.
  • Experience or domain knowledge in marketing.
  • Experience developing AI agents that automate a complete end-to-end workflow.

About the Company

Measured

Audience-level attribution and incrementality testing

Measured provides marketing measurement solutions to help brands optimize their media spend and prove the value of advertising. It offers advanced attribution and incrementality testing services, enabling clients to run audience-level experiments to quantify the lift and capture up to 30% marketing efficiency. The product combines proven measurement methods to validate and optimize media investments, delivered through subscription-based services and consulting. Measured differentiates itself with a strong emphasis on security and compliance (SSAE SOC 2 and ISO 27001), a client-focused approach across e-commerce, media platforms, and technology partners, and thought leadership via initiatives like the Incrementality Insights series. The company's goal is to enable data-driven growth by providing clear, actionable insights that prove advertising ROI and maximize media effectiveness.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$23M
Headquarters
Austin, TX
Founded
2017

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