
51 - 200 employés
☁️ SaaS
SaaS • Marketing • Analytics
Singular est une entreprise spécialisée dans la protection de la vie privée et l’optimisation des données utilisateurs à des fins marketing. Elle utilise des cookies pour améliorer les fonctionnalités du site et pour le remarketing. Singular propose des analytics marketing, l’agrégation des coûts et intègre diverses technologies marketing afin d’offrir une plateforme unifiée pour l’analyse du parcours client. Grâce à ses solutions, elle aide les entreprises à obtenir une vision complète du ROI et à optimiser leurs stratégies publicitaires. Singular est reconnue pour ses solides capacités en attribution mobile, en attribution cross-device et en prévention de la fraude, en faisant un outil précieux pour les entreprises à la recherche d’analyses multi-plateformes précises et actionnables.
🕒 il y a 16 jours
🗣️🇺🇸🇬🇧 Anglais requis
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51 - 200 employés
☁️ SaaS
SaaS • Marketing • Analytics
Singular est une entreprise spécialisée dans la protection de la vie privée et l’optimisation des données utilisateurs à des fins marketing. Elle utilise des cookies pour améliorer les fonctionnalités du site et pour le remarketing. Singular propose des analytics marketing, l’agrégation des coûts et intègre diverses technologies marketing afin d’offrir une plateforme unifiée pour l’analyse du parcours client. Grâce à ses solutions, elle aide les entreprises à obtenir une vision complète du ROI et à optimiser leurs stratégies publicitaires. Singular est reconnue pour ses solides capacités en attribution mobile, en attribution cross-device et en prévention de la fraude, en faisant un outil précieux pour les entreprises à la recherche d’analyses multi-plateformes précises et actionnables.
• Own and support technical implementation of Singular’s platform, from scoping and planning through onboarding, validation, and post-launch technical advisory. • Provide senior technical ownership and continuity for high-priority customer accounts across the Americas, supporting complex implementations, escalations, and ongoing technical advisory needs. • Lead or support complex SDK, API, attribution, web-to-app, S2S, event tracking, data validation, and reporting investigations. • Use SQL, logs, APIs, internal tools, and customer-provided technical context to investigate data quality, attribution, and implementation issues. • Build trust with customer engineering, marketing, analytics, and business stakeholders through clear communication, structured problem solving, and reliable follow-through. • Partner with Customer Success and Sales to support customer happiness, retention, expansion, and technical confidence. • Collaborate with Engineering and Product to identify customer-backed product gaps, recurring implementation patterns, and roadmap opportunities. • Work with Support and Customer Success to ensure technical issues move through the right channels with clear ownership, context, and follow-up. • Use AI tools to improve implementation workflows, accelerate technical troubleshooting, summarize customer/account context, generate reusable documentation, analyze technical patterns, and build lightweight internal tools or scripts that reduce repeated manual work. • Develop internal playbooks, training materials, documentation, and workflow improvements that help scale the Solution Engineering team. • Assist with technical sales activities for new and existing accounts when deeper implementation or feasibility expertise is needed. • Prioritize customer product or feature requests and communicate them clearly to Product with supporting technical context and business impact.
• 5+ years in Solution Engineering, Technical Account Management, Implementation Engineering, Sales Engineering, Software Engineering, or a similar technical customer-facing role. • Experience supporting complex customer implementations or enterprise-level technical accounts. • Strong technical troubleshooting skills and the ability to break down ambiguous technical problems. • Experience integrating or supporting mobile SDKs, REST APIs, event tracking, data integrations, or analytics platforms. • Ability to write SQL queries and investigate data quality, reporting, or attribution issues. • Comfort working in Mac, UNIX, or command-line environments. • Ability to read, debug, or write lightweight scripts, preferably in Python. • Strong communication skills with both customer-facing and internal technical audiences. • Ability to explain complex technical concepts clearly to engineering, marketing, analytics, and business stakeholders. • Independent, fast learner who can operate effectively in a fast-paced, globally distributed environment. • Strong service orientation, ownership mindset, and ability to build trust with customers and cross-functional partners. • A desire to build things, improve processes, and create scalable solutions rather than only solve one-off issues.
• Equal Opportunity Employer • Flexible work arrangements • Professional development opportunities
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