Own recurring commercial revenue reporting, variance analysis, executive and Board materials, sales target-setting, commission reviews, and ad hoc financial analyses. Partner with Revenue, Sales Operations, and GTM teams to explain business performance and support in-quarter decisions. Maintain and improve reporting infrastructure, ensure data accuracy, and independently prioritize deliverables for commercial leadership.

Build and maintain scalable, reliable ML data platform systems to support dataset generation, model training, analytics, monitoring, and large-scale inference. Collaborate with ML, software, and infrastructure engineers to design cost-efficient data lake and training infrastructure using vendor and open-source tools to enable next-generation ML models.

Design, implement, and maintain partner integrations and solutions; translate partner requirements into scalable technical implementations; troubleshoot and resolve issues; drive onboarding and steady-state maintenance; collaborate across product, engineering, and partner teams to improve tools and partner experiences.