Teams at Portcast

Own enterprise customer relationships across onboarding, adoption, renewals, retention, support, and expansion. Lead discovery, QBRs, success plans, stakeholder engagement, and upsell or cross-sell opportunities. Serve as a trusted advisor to operational and C-suite stakeholders, triage technical questions with Data and Engineering teams, analyze customer usage, and communicate actionable resolutions. Partner cross-functionally to influence the product roadmap and deliver measurable business outcomes for logistics customers.

Design, build, and deploy scalable ML models and pipelines from research to production. Own feature engineering, model tuning, real-time prediction, MLOps automation, monitoring, and lifecycle management to solve visibility, forecasting, and freight audit problems.

Design, build, and maintain backend APIs and services for a real-time supply chain visibility platform. Own system architecture, real-time event ingestion, data normalization, ML integration, monitoring, and production debugging while collaborating with Product and Data Science to deliver scalable, high-availability features.