Top Tech Jobs & Startup Jobs

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.

Create polished, on-brand marketing assets across landing pages, case studies, social, paid media, events, collateral, presentations, email, and video. Maintain Portcast’s visual system, design reusable templates and components, edit video, support web and email handoffs, and iterate quickly with content and growth teams. The role requires strong visual design fundamentals, advanced Figma and Adobe skills, video production expertise, and comfort working in a fast-paced, distributed B2B SaaS startup.

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.

Own full enterprise sales cycle across the Americas for freight forwarders, LSPs, and BCOs. Build pipeline, manage complex opportunities, close new customers, develop territory plans, and collaborate cross-functionally to influence product and GTM while maintaining CRM hygiene and forecasting.

Own full enterprise sales cycle across the Americas for freight forwarders, LSPs, and BCOs. Build pipeline through outbound prospecting and partnerships, manage complex deals, negotiate contracts, and ensure CRM hygiene. Develop territory plans, collaborate cross-functionally with Product/Marketing/Customer Success, and drive forecasting and pipeline reporting.

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.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

Support data integrations and quality by checking ingested/system-generated data for anomalies, building and running QA checks and automations with Python and SQL, assisting on customer data queries and dashboards, and documenting findings to improve prediction reliability.