Senior Software Engineer, Intelligent Messaging, AI Journeys
Ort: San Francisco, CA · Bereich: Engineering & Development · Level: Senior · Veröffentlicht: 18. August 2026 · Geprüft: 24. Sept. 2026
Rollenübersicht & Beschreibung
Über das Unternehmen
Attentive
attentive.comAI-powered mobile-first marketing automation for commerce brands.
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
This role involves developing and maintaining the AI platform that powers Smartly's advertising solutions. The engineer will work on building scalable infrastructure for model training and inference, integrating ML models into production systems, and optimizing performance.
This is a senior software engineering role focused on AI features and capabilities within Pendo's product suite. The engineer will design and implement AI-powered solutions, requiring deep expertise in software development and machine learning integration.
This role focuses on providing technical expertise and support for AI and automation tools, likely assisting sales teams and clients with solution design and implementation. The position requires deep knowledge of AI technologies and automation platforms to address complex customer requirements.
Develops and deploys machine learning models on the AI platform, focusing on scalability and performance. Requires expertise in ML frameworks, model training, and deployment.
Weitere Positionen bei Attentive
3 weitere offene Stellen
Manages strategic customer accounts in the East region, ensuring high retention and growth through proactive engagement and value realization. Develops relationships with key stakeholders, drives adoption, and identifies upsell opportunities.
Leads the customer support organization, overseeing strategy, operations, and team performance to ensure high-quality service delivery. Responsible for scaling support processes, driving customer satisfaction, and aligning support initiatives with business goals.
Leads the applied science and data science function, driving the development and deployment of machine learning models to solve business problems. Sets the technical vision, manages a team of data scientists, and ensures alignment with product and engineering priorities.
