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Lead the buildout of a new enterprise data platform, designing infrastructure, pipelines, and storage while ensuring data governance and quality.

The Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.

The Senior Implementation Consultant leads project delivery of Fusion software, working with clients to achieve successful outcomes and configurations on the Force.com platform while leveraging AI tools.

The Vice President of Product Management at Fusion Risk Management leads the product lifecycle, builds a world-class team, and champions AI adoption to drive growth and market leadership.

The role involves managing the full sales cycle for SaaS deals, targeting Fortune 1000 clients, engaging C-level stakeholders, and maintaining a strong sales pipeline while collaborating with internal teams.

The Staff Architect will define and scale Fusion's platform and integration strategies, ensuring scalability, security, and adaptability for enterprise SaaS workloads, while providing technical leadership across teams.

The Solutions Engineer presents products efficiently, configures demos, addresses technical objections, and supports sales with customer solutions and training.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The role involves leading global partnerships, driving sales growth, managing joint business plans, and maintaining executive relationships with Big 4 consulting firms.