Deploy Engineer

🕒 May 12

🗽 New York, Massachusetts – Remote

🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $150k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

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Ometria

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🛍️ eCommerce

📣 Marketing

☁️ SaaS

💰 $40M Series C on 2021-11

eCommerce • Marketing • SaaS

Ometria is a customer data and marketing platform designed to help retailers create personalized marketing experiences. By leveraging data collected through various touchpoints, Ometria enables businesses to understand their customers better and deliver personalized communications that drive customer retention and engagement. The platform integrates with existing eCommerce sites and uses advanced analytics to optimize marketing strategies, increase sales, and improve customer loyalty. Ometria's solution is ideal for eCommerce businesses looking to enhance their customer engagement efforts.

📋 Description

• 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

• 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

• Unlimited paid time off • Health Insurance • Dental • Vision • Mental Health Support