Jobs at Traba

Serve as the primary on-site liaison between Traba and client leadership, managing worker onboarding, scheduling, performance support, incident escalation, communication with operations teams, shift execution, PPE distribution, and identifying account growth opportunities in a fast-paced warehouse/manufacturing environment.

As a Customer On-Site, you will manage relationships between Traba's workforce and clients, oversee onboarding, handle worker support, and ensure operational effectiveness within a warehouse or manufacturing setting.

Serve as the primary on-site Traba representative at a client facility, managing worker onboarding, scheduling, performance support, incident escalation, and client relationships. Coordinate vetting, drug testing, shift coverage, PPE distribution, and communication between site supervisors and internal Traba teams while identifying account growth opportunities and ensuring strong worker experience in a fast-paced warehouse environment.

Build and ship core backend and platform systems that integrate AI agents and frontier models to automate staffing workflows. Own architecture, real-time matching, autonomous vetting pipelines, and backend performance, reliability, and scalability. Partner with leadership to set technical standards and iterate the roadmap across full-stack and infrastructure priorities.

Build Traba's product by applying frontier models and AI agents across the stack to automate vetting, matching, and fulfillment. Lead frontend and backend development, architect real-time matching and autonomous vetting pipelines, and design distributed systems and APIs. Own product surfaces end-to-end, mentor engineers, and partner with CTO, product, and design to ship scalable, reliable automation for the staffing marketplace.

Serve as the on-site Traba point of contact for client leadership and workers. Manage onboarding, scheduling, worker support, performance issues, communications, incident escalations, PPE distribution, and identify account growth opportunities in a fast-paced warehouse/manufacturing setting.

Lead product strategy and build Traba's agentic AI platform from 0-to-1. Embed with customers, design and ship autonomous agents that reason, orchestrate tools, and execute workflows. Partner with founders, engineers, and ML teams to write requirements, prototype, evaluate system behavior, and improve reliability and performance.

Lead product strategy and build Traba's agentic AI platform. Embed with customers to define workflows, ship 0-to-1 autonomous agent products, write requirements, prototype rapidly, define evaluation and quality frameworks, and partner closely with engineering, ML, and design to improve reliability and performance.

Own and evolve the staffing product at the center of a two-sided marketplace. Define strategy, write product requirements, partner with engineering and operations, and use data to improve matching, liquidity, fulfillment, and operational tooling. Launch and iterate enterprise-grade features, translate operational complexity into scalable systems, and communicate across stakeholders to drive business outcomes and marketplace health.

Own and evolve the staffing product at the center of Traba's two-sided marketplace. Define strategy, write product requirements, partner with engineering, design and data to improve matching, liquidity, fulfillment and operational tooling. Use data and on-site user research to launch and iterate scalable systems across customers and regions, collaborating closely with operations, field teams, and leadership.

Lead measurement and modeling for an agent platform: define agent quality metrics, build evaluation and experimentation infrastructure, develop statistical and ML models to diagnose failure modes and improve unit economics, and partner with engineering, product, and operations. Oversee data warehouse and analytics infrastructure, provide self-service tools and AI-assisted analytics for Operations, and mentor scientists and analysts to set standards for rigorous experimentation and measurement.

Lead and scale Traba’s operational systems, drive serviceability and marketplace/account performance, solve high-impact operational problems, build processes/tooling, partner cross-functionally, and present data-driven insights to executives and the board.

Serve as the on-site Traba contact at a client facility, managing worker onboarding, scheduling, performance support, incident escalation, client/staff communication, PPE distribution, and identifying account growth opportunities in a fast-paced warehouse/manufacturing environment.

Serve as the on-site Traba representative at a client facility, managing worker onboarding, scheduling, support, performance issues, communication with client and internal teams, incident resolution, shift coverage, PPE distribution, and identifying account growth opportunities in a fast-paced warehouse/manufacturing environment.

Serve as the on-site Traba liaison to client leadership, managing worker onboarding, scheduling, performance support, incident resolution, shift execution, PPE distribution, and identifying account growth opportunities in a fast-paced warehouse environment.

Join the founding engineering team to build Traba’s product on top of AI agents. Apply frontier models and agents across worker and business apps, implement React Native and React/TypeScript front-ends, build Node.js/PostgreSQL APIs, architect real-time matching and automated vetting systems, and partner with design to ship polished UIs.

Serve as the primary on-site Traba representative at a client facility, managing worker onboarding, scheduling, performance support, and day-to-day operations. Build relationships with supervisors and workers, handle incident escalation, coordinate communication with internal teams, distribute PPE, and identify account growth opportunities to ensure staffing coverage and positive worker experience.

Lead design and implementation of Traba's agent platform: orchestration runtime, eval and observability stacks, integrations to customer systems (WMS/TMS/ERP), model strategy, retrieval/memory, and production agent deployments. Spend time with customers, build evaluation pipelines and regression suites, hire and mentor engineers, and set multi-year roadmap with CTO and product teams.

Design, build, and ship production AI agents and their infrastructure on frontier LLMs. Embed with customers to create agent harnesses, orchestration, integrations (WMS/TMS/ERP), and evaluation pipelines. Own data, services, APIs, and repeatable deployment patterns to scale agent deployments.

Build and own production AI agents and their infrastructure: harnesses, evals, orchestration, and model strategy. Embed with customers, design agent integrations with WMS/TMS/ERP, ship reliable agentic features on frontier LLMs, and codify repeatable deployment patterns.