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This role requires a seasoned demand planning professional responsible for bridging product, customer support, and go-to-market teams, influencing demand planning technology.

The Enterprise Account Executive will manage the full sales cycle, become a CPG expert, and build relationships with decision makers. Expect to close significant deals and travel regularly for customer engagement.

As a Staff Software Engineer, you will lead the design and development of core systems for Confido, focusing on scalable infrastructure for financial data processing and deep technical ownership in product initiatives.

As a Senior AI/ML Engineer, you will manage the AI/ML lifecycle, develop predictive models, conduct anomaly detection, and integrate AI capabilities into the Confido platform.

As a Senior Software Engineer at Confido, you will build core infrastructure for financial workflows, develop backend services, and implement AI-powered systems for analytics and data processing, while collaborating closely with product teams and customers.

Lead strategic finance, FP&A, and reporting initiatives; build financial models for pricing, market sizing, and unit economics; partner with Revenue on forecasting and ROI analysis; create investor and board materials; run ad-hoc strategic analyses and collaborate with data/engineering to build financial insights infrastructure.

The role involves identifying potential accounts, sending outbound messages, and enhancing the technical infrastructure. Candidates should have experience in sales or consulting, strong analytical skills, and the desire for career growth.

The Technical Recruiter will manage full-cycle recruiting for technical roles, working closely with hiring managers to build pipelines and improve recruiting processes.

The Business Recruiter will manage full-cycle recruiting across various business functions, partner with hiring managers, and enhance recruitment processes in a fast-paced B2B SaaS environment.

Design, build, and maintain a centralized data warehouse and analytics platform. Create scalable data models, ETL/ELT pipelines, and semantic layers. Improve data quality, governance, lineage, and accessibility. Partner cross-functionally to define metrics, enable self-service analytics, and standardize data models across products and teams.