New York, NY
Light industrial staffing marketplace connecting businesses and workers
Traba builds a tech platform connecting industrial businesses like warehouses and distribution centers with reliable temporary workers for open shifts. It uses mobile apps, real-time matching algorithms, ML for vetting, and operational tools to achieve high fill rates and fast staffing, far better than traditional agencies. This enables efficient supply chain operations and unlocks productivity for both sides.
Provides on-site operational oversight for workers and client leadership in a warehouse or manufacturing environment. The role manages onboarding, scheduling, worker support, issue resolution, staffing coverage, and account growth while requiring strong communication and 1–2+ years of relevant experience.
Serves as the onsite liaison between workforce staff and client leadership, coordinating onboarding, scheduling, worker support, performance, and issue resolution in warehouse or manufacturing facilities. Requires 1–2+ years of operations or customer-facing experience, strong communication, and bilingual ability.
Leads 0-to-1 development of an AI agent platform that autonomously executes industrial supply-chain workflows. The role requires 7–10 years of product management experience, customer-facing AI product launches, strong technical fluency, and hands-on collaboration with engineering, ML teams, founders, and design partners.
Own the staffing product at the center of a two-sided marketplace, improving liquidity, fulfillment, matching quality, and operational efficiency for enterprise customers and workers. The role requires 7–10 years of product management experience, marketplace and enterprise expertise, and strong technical and operational judgment.
Build and launch 0-to-1 AI agent products that execute supply-chain workflows for customers. The role requires 5–7 years of product management experience, demonstrated customer-facing agent launches, strong technical depth, and comfort operating in an ambiguous startup environment.
Own the staffing product at the center of a two-sided labor marketplace, improving matching, fulfillment, liquidity, and operational efficiency for enterprise customers and workers. The role requires 5–7 years of product management experience, marketplace and enterprise B2B expertise, strong technical fluency, and onsite work in New York City or San Francisco.
Senior Data Scientist leading measurement, modeling, evaluation, and experimentation for Traba's agentic AI platform in industrial supply chain operations. Own agent quality metrics, build statistical/ML models, design experiments proving causation, and deliver insights to leadership and operations teams. Requires 4+ years data science experience including 2+ years with LLMs/agents.
Manages on-site relationships, worker onboarding, scheduling, support, performance, and staffing operations in a warehouse or manufacturing environment. Requires 1–2+ years of operations or customer-facing experience, strong communication, bilingual ability, and a high school diploma or equivalent.
Serve as the primary on-site liaison between Traba's workforce, client leadership, and internal teams at a warehouse/manufacturing facility. Manage worker onboarding, scheduling, performance, communication, and issue resolution while building relationships and identifying growth opportunities.
Serve as the primary on-site liaison between Traba's workforce and client leadership in a warehouse/manufacturing facility. Manage worker onboarding, scheduling, performance, relationships, and communications while driving operational excellence and account growth.
Build and lead Traba's agentic platform as a founding member of the Agents team. Architect orchestration, evals, model strategy, and integrations for autonomous AI agents in industrial supply chain workflows. Requires 7+ years engineering experience including 2+ years production LLM/agent systems, strong Python/TS skills, and customer immersion.
Build and own production AI agent systems (harnesses, evals, orchestration) on frontier LLMs for industrial supply chain workflows at Traba. Requires 5+ years software engineering with 1+ year shipping LLM/agent features, strong Python/TS, and high-agency in ambiguous customer environments.
Build and own production AI agent systems (harnesses, evals, orchestration) on frontier LLMs for industrial supply chain workflows at Traba. Requires 1+ years shipping LLM/agent features to production, strong Python/TS skills, and high-agency in ambiguous customer environments.
Build Traba's product by applying frontier AI models and agents to automate staffing marketplace workflows like vetting, matching, and fulfillment. Strong full-stack engineer with React Native, TypeScript, Node.js experience who ships reliable automation across web, mobile, and backend.
Build and scale Traba's applied AI platform for industrial supply chain staffing and operations. Architect core backend systems integrating frontier models and agents for automation, matching, and vetting while owning performance and infrastructure.
Build and apply AI agents and frontier models across Traba's industrial supply chain platform to automate worker sourcing, vetting, matching, and placement. Full-stack product engineering role leading frontend/backend development, core systems architecture, and end-to-end product ownership in a fast-paced startup.
Lead operations at a high-growth AI supply chain startup. Own serviceability metrics, scale systems, and partner with the CEO on strategy and execution across customer and worker ops.
New grad product engineer building applied AI agents that automate industrial staffing workflows (vetting, matching, fulfillment) across React Native, React/TypeScript, and Node.js/PostgreSQL stack. Requires recent CS degree, internship experience, and drive to integrate frontier models into production.