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Embed with customers to discover needs, design and implement production-grade integrations (APIs, data pipelines, event-driven workflows), deploy and troubleshoot solutions, train IT teams, and drive adoption and measurable business outcomes.

Lead the product strategy for the Shippers Vertical, transforming freight data into operational intelligence, while collaborating across teams and driving product development and iteration.

The Business Development Representative drives pipeline for commercial auto insurance, focusing on prospecting, qualification, and collaboration with Account Executives to build market presence.

The role involves managing accounts in commercial auto insurance, promoting the GenLogs product, and providing customer feedback for product development.

Lead execution of digital marketing: manage paid ads, social, website, email, SEO/AEO, content creation, and analytics. Leverage AI tools, build campaign workflows, collaborate cross-functionally, and optimize for lead generation and conversion.

Own a portfolio of strategic enterprise customers, lead complex onboarding and implementations, manage executive stakeholder relationships, run account plans and QBRs, drive expansion and renewals, coordinate cross-functional teams, and surface customer insights to influence product and business strategy.

Manage a portfolio of mid-market logistics customers to drive onboarding, product adoption, retention, renewals, and expansion. Own implementation, training, QBRs, executive reporting, and cross-functional issue resolution. Serve as customer advocate and partner with Sales, Product, Engineering, Support, and Data. Periodic travel for meetings and conferences.

The Data Scientist at GenLogs will build machine-learning systems, analyze large datasets, and collaborate with engineering and product teams to deliver advanced logistics intelligence solutions.

As a Data Engineer, you will build and maintain data pipelines, ensure data quality, support ML workflows, and optimize query performance using various technologies.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.