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.

Own product initiative delivery from kickoff through release, coordinating Product, Engineering, Data, and Solutions. Track dependencies, risks, blockers, scope changes, timelines, testing, handoffs, and launch readiness. Maintain accurate project status and documentation while ensuring execution remains aligned with product intent. This hands-on role requires technical fluency, cross-functional communication, strong ownership, and daily overlap with an Asia-based technology team.

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.