Strategic Account Manager

This Mid-Market Account Manager role owns growth across a portfolio of 300+ high-value customers, focusing on retention, adoption, expansion, and net-new spend. The AM generates their own expansion pipeline, leads Executive Business Reviews, and launches new products into their book, requiring 3+ years of hunter sales experience and fluency in AI sales tooling.

This Strategic Account Manager role at Bloomreach focuses on managing and expanding key enterprise accounts for their agentic personalization platform. The role involves building strong client relationships, driving product adoption, and identifying upsell and cross-sell opportunities for AI-driven search and personalization solutions. Success requires strategic account planning and deep understanding of customer business goals.

This Commercial Account Manager role is the primary relationship owner post-implementation, responsible for driving product adoption, spend activation, and long-term account growth across a portfolio of 350-500 commercial customers. The AM builds multi-threaded relationships, leads Executive Business Reviews, and collaborates with product and marketing teams, requiring 3+ years of B2B account management or new business sales experience.

This Strategic Account Manager role is responsible for managing and growing key client accounts, likely involving sales of Dun & Bradstreet's data and analytics solutions. The description is minimal, but the title indicates a focus on strategic account management and revenue growth.

This role focuses on developing and deploying machine learning models that power Bloomreach's agentic personalization and autonomous search capabilities. The ML engineer will work on model training, optimization, and serving at scale, ensuring low-latency inference for real-time personalization. Responsibilities include building ML pipelines, experimenting with new algorithms, and collaborating with data engineering and product teams to integrate models into the platform.

This staff-level role leads the technical direction for Bloomreach's DevOps and infrastructure initiatives, focusing on building highly scalable and reliable systems for the agentic personalization platform. The engineer will architect complex cloud solutions, mentor other engineers, and drive best practices for deployment, observability, and cost optimization. Key responsibilities include designing multi-region infrastructure, improving system performance, and collaborating with engineering leadership on long-term infrastructure strategy.

This role involves designing, implementing, and maintaining the cloud infrastructure and CI/CD pipelines that support Bloomreach's agentic personalization platform. The DevOps engineer will focus on automating deployment processes, ensuring system reliability, and scaling infrastructure to handle high-volume AI workloads. Responsibilities include managing Kubernetes clusters, optimizing cloud costs, and implementing robust monitoring and alerting systems.