
501 - 1000 employés
Fondée en 2013
🤖 Intelligence artificielle
🤝 B2B
💰 €200 000 000 Series E en 2021-06
Artificial Intelligence • B2B • Marketing
Iterable est une plateforme de marketing cross-canal alimentée par l'intelligence artificielle, permettant aux entreprises d'engager les consommateurs via des messages intégrés à travers l'email, le mobile, le web, et plus encore. Elle aide les grandes entreprises à concevoir et automatiser des campagnes marketing personnalisées qui exploitent les données en temps réel pour améliorer l'expérience client. Iterable offre des outils pour l'activation des données, la messagerie segmentée et la création dynamique de campagnes, permettant aux marketeurs de créer des parcours clients individualisés et de maximiser l'impact des campagnes grâce à une communication inter-canale fluide. Avec un accent sur les solutions d'entreprise, elle facilite la transformation des opérations marketing en systèmes sécurisés et évolutifs.
🕒 il y a 4 mois
🗣️🇺🇸🇬🇧 Anglais requis
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501 - 1000 employés
Fondée en 2013
🤖 Intelligence artificielle
🤝 B2B
💰 €200 000 000 Series E en 2021-06
Artificial Intelligence • B2B • Marketing
Iterable est une plateforme de marketing cross-canal alimentée par l'intelligence artificielle, permettant aux entreprises d'engager les consommateurs via des messages intégrés à travers l'email, le mobile, le web, et plus encore. Elle aide les grandes entreprises à concevoir et automatiser des campagnes marketing personnalisées qui exploitent les données en temps réel pour améliorer l'expérience client. Iterable offre des outils pour l'activation des données, la messagerie segmentée et la création dynamique de campagnes, permettant aux marketeurs de créer des parcours clients individualisés et de maximiser l'impact des campagnes grâce à une communication inter-canale fluide. Avec un accent sur les solutions d'entreprise, elle facilite la transformation des opérations marketing en systèmes sécurisés et évolutifs.
• Serve as the technical authority for multiple core product areas, ensuring all architectural decisions directly support the business objectives for those areas. • Establish and maintain organization-wide technical standards, architectural patterns, and coding best practices to ensure consistency, security, performance, and maintainability across all teams. • Support decision making by providing expert architectural guidance and data-driven recommendations to leadership and engineering teams, facilitating timely and sound technical decisions. • Directly mentor, guide, and lead the technical direction of the Tech Leads and senior engineers within the domains, fostering a high-performance engineering culture. • Oversee and approve key design documents and high-level architectural proposals, ensuring they adhere to organizational standards and the own building and maintaining a long-term architectural roadmap. • Act as an escalation point for complex technical challenges, actively supporting teams in overcoming significant architectural hurdles or design issues. • Define and communicate the overall architectural vision and strategy to engineering teams, helping them understand how their individual contributions connect to the broader product and business goals. • Regularly report progress, risks, and technical insights related to the architectural roadmap to executive and product leadership.
• 10+ years of software engineering experience, with at least 5+ years as a hands-on architect • Proven track record of architecting and delivering complex, high-scale, distributed systems (e.g., Microservices, Event-Driven Architecture) in a cloud environment (AWS/GCP/Azure). • Deep expertise in our core technology stack: Scala (Java in lieu), Play, Kafka, Flink, Pulsar, S3 • Experience building or deploying Multi-Agent Frameworks or Multi-Agent Systems. • Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations. • Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows. • Strong experience with data architecture, including SQL and NoSQL databases, caching strategies, and data consistency models. • Demonstrated experience with CI/CD pipelines, observability (logging/monitoring/tracing), and DevOps practices.
• health insurance • retirement plans • paid time off • flexible work arrangements • professional development
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