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Ometria

Deploy Engineer

Ometria

Deploy Engineer onboarding enterprise clients through data integration and training on Ometria's AI platform. Guiding and engaging clients while ensuring data integrity and platform reliability.

Posted 5/12/2026full-timeRemote • Massachusetts, New York • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies
BigQuery

About the role

Key responsibilities & impact
  • Onboard enterprise clients onto Ometria's agentic intelligence product, ΛTLΛS
  • Identify and connect data sources, train clients, and ensure platform delivers ongoing value
  • Act as a trusted technical partner, guiding clients through data integration, validation, and documentation strategies
  • Monitor platform inputs and outputs, addressing alerts promptly to maintain data integrity and client confidence
  • Train clients on ΛTLΛS platform usage, tailoring sessions for technical and marketing stakeholders
  • Build strong relationships with enterprise clients across their teams

Requirements

What you’ll need
  • Minimum 5 years of technical account management or solutions architecture experience in an enterprise software organization, preferably in the Retail and Ecommerce space.
  • Hands-on experience with data warehousing platforms, particularly Big Query, Snowflake and Databricks, including the ability to build and manage data integrations and custom connectors.
  • Excellent communication and stakeholder management skills, with the ability to engage confidently with enterprise clients across both technical and commercial functions.
  • Strong understanding of the marketing technology landscape — familiarity with the major platforms, what they are used for, and how data flows between them.
  • Experience in marketing programme management and client data management, with a solid grasp of how brands structure and leverage their marketing data.
  • Practical knowledge of identity resolution and CDP-type activities, including data unification, audience segmentation, and profile management.
  • AI engineering capability, with experience building or working with AI-driven data products, pipelines, or platforms.
  • A methodical, self-directed approach to work, with the ability to manage multiple client engagements simultaneously and prioritise effectively.

Benefits

Comp & perks
  • Unlimited paid time off
  • Health Insurance
  • Dental
  • Vision
  • Mental Health Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data integrationdata validationdata warehousingBig QuerySnowflakeDatabricksidentity resolutionaudience segmentationprofile managementAI engineering
Soft Skills
communicationstakeholder managementrelationship buildingmethodical approachself-directedprioritizationtrainingclient engagementtechnical guidanceproblem-solving