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Provide customer support through email and phone, resolve and escalate issues, monitor live transportation trips, coordinate responses to disruptions, communicate updates, document interactions in Sprinklr, educate customers on DOT rules, and collaborate with drivers and internal operations teams. The role requires flexible night and weekend availability, strong organization, calm problem-solving, and adherence to service-level agreements.

Design, build, and operate scalable data pipelines, models, and products supporting analytics, operational decisions, and AI. Own data architecture, dimensional modeling, data quality, lineage, orchestration, observability, and performance. Lead the migration from Redshift to Snowflake, establish engineering standards, and partner with technical and business teams to deliver trusted data solutions.

Build and own customer-facing and back-office software across web, mobile, APIs, data engineering, and DevOps. Develop JavaScript frontends and Java backends, deploy scalable applications on AWS, establish engineering best practices, adopt AI-assisted development tools, mentor junior engineers, and collaborate cross-functionally on high-impact initiatives.

Own full-cycle recruiting for critical go-to-market searches, including VP, director, and quota-carrying sales and revenue roles. Build targeted sourcing strategies, engage passive candidates, manage recruiting funnels, and partner with executives on hiring strategy and decisions. Serve as a strategic extension of Talent Acquisition leadership, provide market intelligence, improve recruiting processes and reporting, and deliver senior and high-volume hires in a scaling environment.

Own full-cycle recruiting for critical GTM searches, including VP, director, and quota-carrying sales roles. Build targeted sourcing strategies, engage passive candidates, manage recruiting funnels, and partner with executives on talent strategy and hiring decisions. Serve as a strategic extension of Talent Acquisition leadership, provide market intelligence, improve recruiting processes and reporting, and maintain high-quality candidate experiences in a fast-scaling environment.

Partner with business leaders on workforce planning, organizational design, talent reviews, performance management, manager coaching, employee relations, and organizational change. Build scalable People programs, career frameworks, performance processes, and leadership-development initiatives. Manage investigations, accommodations, leaves, terminations, documentation, and compliance while using workforce data to identify risks and improve decisions.

Conduct exploratory analysis, statistical modeling, experimentation, forecasting, and machine learning for marketplace and pricing systems. Analyze supply, demand, elasticity, conversion, and pricing behavior; build predictive models; improve data quality and analytical foundations; contribute to production ML; and communicate actionable recommendations to Product, Engineering, Pricing, and business stakeholders.

Design and develop systems for dynamic pricing and marketplace functionalities while optimizing backend and frontend applications, ensuring scalability and reliability.

Architect and implement scalable customer-facing and back-office systems across frontend and backend. Build REST APIs, web and mobile apps, deploy on AWS, define engineering best practices, mentor junior engineers, and incorporate AI-assisted development to improve productivity and product quality.

Lead design and production deployment of ML models focused on pricing, availability, forecasting, and optimization. Build data infrastructure, governance, testing/monitoring, and dashboards. Partner with executives and cross-functional teams, mentor others, and establish scalable data-science practices and experimentation frameworks.