Deploy Engineer

🕒 il y a 26 jours

🗽 New York, Massachusetts – Distant

🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $150 000 - $200 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👷🏻‍♀️ Ingénieur

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Ometria

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2013

🛍️ eCommerce

☁️ SaaS

💰 €40 000 000 Series C en 2021-11

eCommerce • Marketing • SaaS

Ometria est une plateforme de données clients et de marketing conçue pour aider les détaillants à créer des expériences marketing personnalisées. En exploitant les données collectées par divers points de contact, Ometria permet aux entreprises de mieux comprendre leurs clients et de délivrer des communications personnalisées qui renforcent la fidélisation et l'engagement des clients. La plateforme s'intègre avec les sites e-commerce existants et utilise des analyses avancées pour optimiser les stratégies marketing, augmenter les ventes et améliorer la fidélité des clients. La solution d'Ometria est idéale pour les entreprises de e-commerce cherchant à améliorer leurs efforts d'engagement client.

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

🎯 Exigences

• 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.

🏖️ Avantages

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