Jobs at Spotter AI

Conduct outbound calls to truck drivers and owner-operators, qualify leads, gather accurate information, and create at least eight detailed profiles daily. Maintain CRM records, address questions professionally, respond to leads within 24 hours, and transition qualified leads to the recruitment team while meeting accuracy and productivity targets.

Maintains accurate applicant records, monitors candidate progress through the recruiting workflow, identifies stalled applications, follows up with recruiters, reports data issues, and prepares daily and weekly recruiting reports. The role requires CRM or applicant tracking system experience, spreadsheet skills, strong attention to detail, clear communication, reliable internet, and availability during US Central business hours.

Lead product strategy, vision, roadmap development, market research, customer engagement, and lifecycle management. Collaborate with engineering, design, marketing, and other stakeholders to define requirements, deliver features, and improve user experiences. Track KPIs, analyze performance, prioritize initiatives, and ensure products align with customer needs and business objectives throughout development and launch.

Build and ship end-to-end product features across React frontends and Django backends. Design data models, RESTful APIs, responsive user interfaces, and algorithmic or AI-driven logic involving scoring, ranking, and decision rules. Optimize performance through efficient queries and caching, write production-ready code, and work independently with a distributed startup team. Experience with GCP, Redis, Docker, Kubernetes, React Native, or AI coding assistants is advantageous.

Build and own backend services, APIs, data models, and algorithmic or AI-driven business logic using Python and Django. Responsibilities include designing relational schemas, implementing RESTful endpoints, optimizing queries and performance, applying caching, translating product ideas into technical designs, and contributing to engineering patterns within a distributed startup team.

Sell Spotter's enterprise TMS to large logistics organizations by building pipelines, conducting solution-led demos, managing the full sales cycle, negotiating contracts, and developing C-level relationships to meet revenue targets.

Design, train, evaluate, deploy, and monitor machine learning models. Prepare and analyze large datasets, improve model performance through experiments, and collaborate with software engineers to integrate ML solutions into production while staying current with ML techniques.

Cross-functional Business Operations Engineer who investigates operational issues, designs and implements scalable solutions, builds automations and internal tools, develops SOPs, and leads process improvement projects. Collaborates with teams to streamline workflows and ensure adoption of improvements.