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 Senior Advisor leads client programs focused on resilience, advising on best practices and guiding large-scale implementations. Responsibilities include project leadership, client relationship management, and mentoring junior team members.

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

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 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.