Staff Product Manager (Marketplace)

🏢 Summary: Entrepreneurial Product Manager role owning and scaling a two-sided staffing marketplace product for enterprise manufacturing and logistics customers, with a strong focus on AI-native operations and marketplace systems. You will drive product strategy, build internal and external tooling, and partner closely with engineering, data, and operations to improve liquidity, matching, and fulfillment. The position requires deep experience in enterprise B2B and marketplace environments, strong technical fluency, and hands-on product execution in fast-paced startups. 🗂️ Requirements: 5–7 years of Product Manager experience, Experience shipping products that materially impacted business outcomes, Experience building products in two-sided marketplaces with supply and demand dynamics, Experience building enterprise B2B products for multi-stakeholder customers, Experience building internal operational tooling or systems, Strong technical fluency and ability to work closely with engineering teams, Experience working in startup environments with high ownership, Ability to work onsite five days per week in New York City or San Francisco 📃 Skills: ProductManagement, AI, Marketplace, B2B, SaaS, DataAnalysis, SystemsDesign, WorkflowAutomation, InternalTools, EnterpriseSoftware 🏢 Description: About Traba Traba is building the AI operating layer for the light industrial supply chain. We started in the workforce space because contingent labor is a major operational pain point for manufacturing and logistics customers. By embedding into daily operations and connecting to systems across facilities, we use applied AI to drive productivity gains and transform supply chain operations at scale. The Role The product is the labor itself: the workers matched and deployed into warehouses and manufacturing facilities. Every product decision impacts supply, demand, fulfillment, customer outcomes, and marketplace health. We are looking for an entrepreneurial and experienced Product Manager to own and evolve the staffing product at the center of the marketplace. You will work across both sides: enterprise customers running distribution centers and manufacturing lines, and the workers whose trust and reliability drive value. You will collaborate with software engineers, product designers, data analysts, other product managers, and partner closely with operations and field teams to design, build, and ship practical solutions into industrial facilities. This role reports directly to the VP of Product. What you’ll do - Architect and steward product strategy across critical staffing and marketplace workflows - Solve complex marketplace problems balancing customer needs, operational realities, and business outcomes - Write detailed product requirements and partner closely with engineering teams to execute solutions - Build systems that improve marketplace liquidity, fulfillment, matching quality, and operational efficiency - Use data to uncover patterns and answer critical marketplace and customer questions - Translate operational complexity into scalable product systems - Design internal tooling and technical solutions to scale operations - Launch and iterate products across customers, regions, and operational environments - Visualize and communicate complex systems, workflows, and product strategy - Align stakeholders and synthesize cross-functional feedback What we’re looking for - Customer-obsessed approach grounded in direct user insight - AI-native operating style, using AI tools to prototype, build, and analyze - Deep experience operating in two-sided marketplaces - Experience building enterprise B2B products with complex operational environments - First-principles thinking and strong product judgment - Experience building operational systems and internal tools - Builder mentality with comfort in ambiguity and fast execution - Strong cross-functional collaboration skills What you’ll bring - 5–7 years of experience as a Product Manager - Evidence of shipping products that materially moved business outcomes - Strong experience in two-sided marketplaces with real supply and demand dynamics - Experience building enterprise products for multi-stakeholder customers - Experience building internal operational tooling or systems - Strong technical fluency and ability to work deeply with engineering teams - Experience operating in startup environments with speed and ownership - Desire to work at a startup and cover a wide product surface area - Strong work ethic and motivation to build a category-defining company Benefits - Start-up equity - Competitive salary ($180,000–$210,000) - 100% paid health, dental, and vision coverage - Dinner provided via Grubhub and stocked kitchen for NY employees - Commuter benefit - Team building events - Gympass benefit - Flexible PTO - Additional benefits: One Medical membership, Gympass, HSA via Optum, Talkspace, Health Advocate, Teladoc Health The position is based onsite in New York City or San Francisco, five days per week. Equal Opportunity Employer All applicants are evaluated without discrimination based on legally protected characteristics.

🏢 Summary: Product Manager role owning and scaling a two-sided staffing marketplace product for enterprise manufacturing and logistics customers. The position focuses on architecting product strategy, improving marketplace liquidity and matching systems, and building operational tooling powered by data and AI. It requires deep experience in enterprise B2B and marketplace environments, strong technical fluency, and close collaboration with engineering and operations teams. 🗂️ Requirements: 5–7 years Product Manager experience, Experience shipping products impacting business outcomes, Experience in two-sided marketplaces (supply/demand dynamics), Experience building enterprise B2B products, Experience building internal operational tools or systems, Strong technical fluency and close collaboration with engineering, Experience in startup environments, Onsite availability in NYC or San Francisco 📃 Skills: ProductManagement, Marketplace, B2B, AI, DataAnalysis, SystemsDesign, OperationalTooling, EnterpriseSoftware, WorkflowAutomation 🏢 Description: About Traba Traba is building the AI operating layer for the light industrial supply chain. We began in the workforce space to solve contingent labor challenges for manufacturing and logistics customers, embedding technology into daily operations and expanding into broader operational workflows. By connecting to facility systems and activating workers on our platform, we build applied AI solutions that drive productivity and transform supply chain operations at scale. The Role The product is the labor itself: workers matched and deployed into warehouses and manufacturing facilities nationwide. Every product decision impacts supply, demand, fulfillment, customer outcomes, and marketplace health. We are looking for an entrepreneurial and experienced Product Manager to own and evolve the staffing product at the center of the marketplace. You will work across enterprise customers operating distribution centers and manufacturing lines, and the workers who power the platform. This role reports directly to the VP of Product. What you’ll do - Architect and steward product strategy across critical staffing and marketplace workflows - Solve complex marketplace problems balancing customer needs, operations, and business outcomes - Write detailed product requirements and partner closely with engineering to execute solutions - Build systems to improve marketplace liquidity, fulfillment, matching quality, and operational efficiency - Use data to uncover patterns and answer marketplace and customer questions - Translate operational complexity into scalable product systems - Design internal tooling and technical solutions to scale operations - Launch and iterate products across customers, regions, and operational environments - Communicate complex systems, workflows, and product strategy across the organization - Align stakeholders and synthesize cross-functional feedback What we’re looking for - Customer-obsessed approach with direct user engagement on both sides of the marketplace - AI-native operator who prototypes, works with code, and builds internal agents for research and analysis - Deep experience in two-sided marketplaces with supply and demand dynamics - Experience building enterprise B2B products with complex stakeholders and operational rollouts - First-principles thinker with strong systems understanding - Experience building operational products or internal tools - Builder mentality with ability to operate in ambiguity - Strong cross-functional collaboration skills What you’ll bring - 5–7 years of experience as a Product Manager - Evidence of shipping products that materially impacted business outcomes - Strong experience in two-sided marketplaces - Experience building enterprise products with multi-stakeholder customers - Experience building internal operational tooling or systems - Strong technical fluency and ability to work closely with engineering teams - Experience operating in startup environments - Willingness to work onsite five days per week in New York City or San Francisco Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided and stocked kitchen for NY employees - Commuter benefit - Team building events - Gympass benefit - Flexible PTO - Additional benefits including One Medical membership, HSA via Optum, Talkspace, Health Advocate, and Teladoc Health Salary Range Details The compensation range for this position is $180,000–$210,000, with potential exceptions based on qualifications. A competitive equity package is included.

🏢 Summary: Senior platform engineer role focused on building and scaling AI-agent powered backend systems that automate a staffing marketplace. You will architect and own core infrastructure, real-time matching, and ML-driven vetting pipelines while integrating frontier models into production. The role emphasizes distributed systems, performance, and long-term platform scalability in an early-stage environment. 🗂️ Requirements: 7+ years experience with TypeScript/Node.js or Python, Strong experience with PostgreSQL, Experience with messaging systems such as Kafka or RabbitMQ, Proven experience shipping and leading projects at scale, Deep expertise in APIs, data modeling, query optimization, distributed systems, Ability to architect scalable backend systems, Experience integrating AI/LLM systems in production (preferred), Ability to operate in early-stage, ambiguous environments 📃 Skills: TypeScript, Node.js, Python, PostgreSQL, Kafka, RabbitMQ, APIs, DistributedSystems, LLM, MachineLearning 🏢 Description: You will build Traba's product on top of AI agents and set the standard for how they are applied across the stack. You will put frontier models and existing agents to work across the staffing marketplace to automate the pipeline that sources, vets, matches, and places workers on millions of shifts, while owning the core backend services and platform it runs on. This is a platform-engineering role focused on infrastructure, matching systems, data challenges, and scaling distributed systems. You will: - Set the standard for applying agents across the stack to automate the staffing pipeline and build with AI-assisted tooling. - Architect and lead core systems, from real-time matching to autonomous vetting pipelines powered by ML and agents. - Own platform architecture with long-term scalability in mind. - Drive backend performance, reliability, and scale. You have: - 7+ years with TypeScript/Node.js or Python. - Strong experience with PostgreSQL. - Experience with messaging systems such as Kafka or RabbitMQ. - Proven track record of shipping and leading projects at scale. - Deep experience designing scalable applications, APIs, data modeling, query optimization, and distributed systems. - Experience building or integrating AI/LLM systems in production is a plus. - Comfort operating in an early-stage, ambiguous environment. Benefits: - Start-up equity. - Competitive salary ($240,000–$300,000). - 100% paid health, dental, and vision coverage. - Dinner provided via DoorDash, free DashPass, and stocked kitchen for NY employees. - Commuter benefit. - Gympass benefit. - Additional benefits including One Medical membership, HSA via Optum, Talkspace, HealthAdvocate, and Teladoc Health. Equal Opportunity Employer: Traba evaluates all applicants without discrimination based on legally protected characteristics and encourages candidates from diverse backgrounds to apply.

🏢 Summary: Senior full-stack product engineering role focused on applying AI agents and frontier models to automate worker sourcing, vetting, matching, and fulfillment across a large-scale staffing marketplace. You will build and scale core systems including real-time matching, autonomous vetting pipelines, and distributed APIs, partnering closely with the CTO on architecture and roadmap. The role spans frontend, backend, and AI integrations, shipping production-ready automation in a fast-moving environment. 🗂️ Requirements: 5+ years experience in frontend and backend development, Proficiency in TypeScript, Proficiency in React or React Native, Proficiency in Node.js or Python, Strong experience with APIs, Experience with distributed systems, Experience with PostgreSQL, Experience with Kafka or RabbitMQ, Hands-on experience integrating LLMs or AI agents into production products, Proven experience shipping scalable applications in early-stage environments 📃 Skills: TypeScript, React, ReactNative, Node.js, Python, APIs, DistributedSystems, PostgreSQL, Kafka, RabbitMQ, LLMs, AI, Agents 🏢 Description: You'll build Traba's product on top of AI agents—taking frontier models and existing agents and putting them to work across the staffing marketplace to automate the pipeline that sources, vets, matches, and places workers on millions of shifts. This is a product-engineering role focused on applying AI in real product environments, partnering with the CTO on architecture and roadmap, and building the platform the company runs on. About You: An applier, not a researcher. You take frontier models and existing agents and wire them into real product across the stack—shipping reliable automation rather than owning the orchestration internals. You focus on the highest-priority problems, whether AI-driven or not. Voracious learner, comfortable moving between API design, UX, and deployment infrastructure. Proven full-stack builder with a track record of shipping scalable, performant applications from frontend interfaces to backend distributed systems. You Will: Apply existing agents and frontier models across the stack—worker app, business app, ops platform, marketplace—to automate vetting, matching, and fulfillment. Lead frontend and backend development and mentor other engineers. Architect and build core systems including real-time matching, autonomous vetting pipelines, distributed systems, and APIs. Own product surfaces end to end, partnering closely with product and design. You Have: 5+ years across frontend and backend: TypeScript, React/React Native, and Node.js or Python. Strong experience with APIs, distributed systems, PostgreSQL, and messaging (Kafka or RabbitMQ). Hands-on experience integrating LLMs or agents into real products, including prompting, tool wiring, and evaluations. Track record of shipping scalable products in fast, ambiguous, early-stage environments. Benefits: Start-up equity Competitive salary ($200,000–$240,000) 100% paid health, dental, and vision coverage Dinner provided via DoorDash, free DashPass, and stocked kitchen for NY employees Commuter benefit Gympass benefit Additional benefits: One Medical membership, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health Equal Opportunity Employer: All applicants are evaluated without discrimination based on legally protected characteristics.

🏢 Summary: Product Engineering role focused on applying AI agents and frontier models across a staffing marketplace to automate sourcing, vetting, matching, and placement workflows. The position involves full-stack development, building scalable distributed systems, and architecting core platform components such as real-time matching and autonomous vetting pipelines. You will partner closely with leadership to deliver end-to-end product features that integrate LLMs into real-world operational systems. 🗂️ Requirements: 5+ years of experience in frontend and backend development, Proficiency in TypeScript, Proficiency in React or React Native, Experience with Node.js or Python, Strong experience building and consuming APIs, Experience with distributed systems, Experience with PostgreSQL, Experience with Kafka or RabbitMQ, Hands-on experience integrating LLMs or AI agents into production products, Proven track record of shipping scalable applications 📃 Skills: TypeScript, React, React Native, Node.js, Python, PostgreSQL, Kafka, RabbitMQ, LLM, APIs, DistributedSystems 🏢 Description: Traba is building an AI operating layer for the industrial supply chain, starting with workforce staffing and expanding into broader operational workflows. The role focuses on applying AI agents and frontier models across the staffing marketplace to automate sourcing, vetting, matching, and placement of workers at scale. Description You will build product features on top of AI agents, taking frontier models and existing agents and putting them to work across the staffing marketplace. This is a product-engineering-first role, requiring you to move across priorities such as automation agents, payments flows, and platform work. You will partner with the CTO on architecture and roadmap while building the platform that powers the company’s operations. Responsibilities - Apply existing agents and frontier models across the stack (worker app, business app, ops platform, marketplace) to automate vetting, matching, and fulfillment - Lead frontend and backend development and mentor other engineers - Architect and build core systems including real-time matching, autonomous vetting pipelines, distributed systems, and APIs - Own product surfaces end-to-end in partnership with product and design Requirements - 5+ years of experience across frontend and backend development - Strong experience with TypeScript, React or React Native, and Node.js or Python - Solid understanding of APIs and distributed systems - Experience with PostgreSQL and messaging systems such as Kafka or RabbitMQ - Hands-on experience integrating LLMs or AI agents into production products (prompting, tool wiring, evaluations) - Proven experience shipping scalable products in fast-paced, early-stage environments Benefits - Start-up equity - Competitive salary ($200,000–$240,000) - 100% paid health, dental, and vision coverage - Dinner provided via DoorDash, free DashPass, and stocked kitchen for NY employees - Commuter benefit - Gympass benefit - One Medical membership - HSA via Optum - Talkspace - HealthAdvocate - Teledoc Health

🏢 Summary: Product-focused engineer role building and applying AI agents across a staffing marketplace to automate worker sourcing, vetting, matching, and fulfillment. You will work across mobile, web, and backend systems, partnering closely with the CTO and design to ship reliable, production-grade automation. This is an early-stage, high-ownership position shaping the core AI-driven product platform. 🗂️ Requirements: 3+ years experience with TypeScript, React or React Native, Node.js, and/or PostgreSQL, Experience integrating LLMs or AI agents into production products, or strong willingness to learn, Ability to build across frontend, backend, and APIs, Experience architecting core systems and scalable applications, Comfort working in early-stage environment with high ambiguity and ownership 📃 Skills: TypeScript, React, ReactNative, Node.js, PostgreSQL, LLMs, AI, APIs, JavaScript, SQL 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. By connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. We are backed by Founders Fund, Khosla Ventures, and General Catalyst. Description You'll build Traba's product on top of AI agents—taking frontier models and existing agents and putting them to work across our staffing marketplace to automate the pipeline that sources, vets, matches, and places workers on millions of shifts. (Our AI Agents team builds the agent platform; you apply it everywhere it creates leverage.) This is a product-engineering role first, so you'll go where the priorities are: some weeks that's wiring up an agent that automates vetting or matching, others it's a payments flow or UI work. You'll join the founding team, partner with our CTO on the product roadmap, own product decisions, and help build our foundational tech platform. About You: An applier, not a researcher. You take frontier models and existing agents and wire them into real product across the stack—you care about shipping reliable automation, not owning the orchestration internals. And you don't need every task to be an AI task: you take the highest-priority problem, model or not. Voracious learner. You explore new languages and frameworks happily, and can talk product with a designer one minute and infrastructure with a tech lead the next. Strong front-end chops. You have experience with (or a real desire to learn) React Native, and you love building performant apps users enjoy. You Will: - Apply existing agents and frontier models across the stack—worker app, business app, ops platform, marketplace—to automate vetting, matching, and fulfillment. - Write and review high-quality code across our React Native app, React/TypeScript web apps, and Node.js/PostgreSQL APIs. - Architect core systems—from real-time matching to autonomous worker-vetting pipelines powered by ML and agents. - Partner with design to ship polished, intuitive UIs. You Have: - 3+ years with TypeScript, React/React Native, Node.js, and/or PostgreSQL. - Experience integrating LLMs or agents into real product—prompting, tool wiring—or a clear drive to learn. - Comfort in an early-stage team: ambiguity, self-direction, and fast iteration. Benefits: - Start-up equity - Competitive salary - 100% paid health, dental & vision coverage - Dinner provided via DoorDash, free DashPass & stocked kitchen for NY employees - Commuter benefit - Gympass benefit - One Medical membership - HSA via Optum - Talkspace - HealthAdvocate - Teledoc Health Salary Range Details The compensation range for this position is set between $140,000 and $200,000, reflecting market analysis and other relevant considerations. Exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. Equal Opportunity Employer We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. Our Values Dream Big - We create and communicate a bold direction that inspires a life-changing vision and focus on long-term value. Olympian’s Work Ethic - We work harder, longer, and smarter, putting everything we have into changing the world. Growth Mindset - We confront tough challenges, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile to deliver high-quality products and services that solve critical industry problems.

🏢 Summary: Senior Staff Agent Engineer role focused on architecting and leading the development of an end-to-end AI agent platform for industrial operations, including orchestration, evaluation, model strategy, and system integrations. The position involves building production-grade LLM-based agents, defining foundational technical decisions, and partnering closely with leadership and customers to deploy scalable, reliable agent systems. This is a 0-to-1, high-impact role with ownership over agent infrastructure, quality standards, and technical direction. 🗂️ Requirements: 7+ years of software engineering experience, 2+ years of hands-on production experience with LLM- or agent-based systems, Strong proficiency in Python and/or TypeScript/Node.js, Experience designing distributed systems, APIs, and data models, Experience with PostgreSQL and modern messaging systems (Kafka, RabbitMQ, or equivalent), Proven ownership of a production-grade agent system (orchestration, tool use, retrieval, evals, observability), Experience with model strategy, fine-tuning, prompting, and retrieval architectures, Ability to design evaluation datasets, regression suites, and experimentation tooling, Experience leading 0-to-1 builds in early-stage environments, Strong written and verbal communication skills 📃 Skills: Python, TypeScript, Node.js, LLM, Agents, PostgreSQL, Kafka, RabbitMQ, APIs, DistributedSystems, Retrieval, FineTuning, Prompting, Observability, Orchestration 🏢 Description: Description Traba is building the AI operating layer for the industrial supply chain, expanding from workforce management into broader operational workflows across manufacturing and logistics facilities. As a Staff Agent Engineer and founding member of the Agents team, you will lead the development of the agentic platform that synthesizes marketplace data, integrates with customer operational systems, and acts autonomously within facility workflows. You will partner closely with the CTO to define core architectural decisions around how agents are built, evaluated, and deployed, setting the standard for quality, reliability, and scalability. About You You've built agent systems that have been deployed into production at scale, including designing orchestration patterns, evaluation frameworks, and model strategies. You are comfortable working across prompting, fine-tuning, retrieval, and code, and have strong opinions on how to balance them. You combine domain depth with technical breadth, learning real-world operational environments and translating them into robust architecture. You lead by example, writing foundational implementations, selecting core tools and model providers, and building evaluation and observability infrastructure. Responsibilities - Architect the end-to-end agent platform, including orchestration runtime, evaluation and observability stack, and integration layer with internal and customer systems (WMS/TMS/ERP) - Own foundational technical decisions such as model strategy, harness design, retrieval and memory architecture, tool surface, and quality measurement - Spend time on-site with customers and operators to translate operational realities into durable product patterns - Build evaluation as an engineering discipline, including datasets, graders, regression suites, and experimentation tooling - Hire and mentor engineers and define high standards for technical quality - Partner with CTO, product, and operations leadership on the long-term platform roadmap Qualifications - 7+ years of software engineering experience - 2+ years of hands-on production experience with LLM- or agent-based systems - Strong proficiency in Python and/or TypeScript/Node.js - Experience designing distributed systems, APIs, and data models on PostgreSQL and modern messaging systems (Kafka, RabbitMQ, or equivalent) - Demonstrated ownership of a production-grade agent system including orchestration, tool use, retrieval, evaluation, observability, and cost/latency tuning - Background in vertical AI, AI-agent companies, forward-deployed engineering, or AI-native data companies; supply chain or logistics exposure is a plus - Experience leading 0-to-1 builds in early-stage environments - Strong written and verbal communication skills Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided via DoorDash, free DashPass, and stocked kitchen for NY employees - Commuter benefit - Gympass benefit - Additional benefits: One Medical membership, HSA via Optum, Talkspace, HealthAdvocate, Teladoc Health Salary Range The compensation range for this position is $240,000 - $300,000.

🏢 Summary: Staff Agent Engineer role focused on architecting and leading the development of an end-to-end AI agent platform that integrates with industrial operational systems and runs production-grade LLM-based agents at scale. The position involves owning model strategy, orchestration, evaluation infrastructure, and system integrations while partnering closely with leadership and customers. This is a senior, 0-to-1 role building reliable, production-ready agent systems that drive operational workflows. 🗂️ Requirements: 7+ years of software engineering experience, 2+ years of hands-on production experience with LLM- or agent-based systems, Strong proficiency in Python and/or TypeScript/Node.js, Experience designing distributed systems, APIs, and data models, Experience with PostgreSQL and modern messaging systems, Proven ownership of production agent systems including orchestration, tool use, retrieval, evals, and observability, Experience leading 0-to-1 builds in early-stage environments, Strong written and verbal communication skills 📃 Skills: Python, TypeScript, Node.js, PostgreSQL, Kafka, RabbitMQ, LLM, APIs, DistributedSystems, Retrieval, Orchestration, Observability, Messaging, ERP, WMS, TMS 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. By connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. You'll build the AI agents themselves—the harnesses, evals, orchestration, and model strategy the rest of the product runs on. We're seeking an entrepreneurial Staff Agent Engineer to join as a founding member of the Agents team and lead the development of the agentic platform—the layer that synthesizes the data flowing through the marketplace, talks to customers' operational systems, and acts autonomously inside the workflows that run their facilities. You will partner with the CTO to make the core architectural decisions on how agents are built, evaluated, and deployed; set the bar for quality and reliability; and bring perspective on agent-building, customer immersion, and data-product craft. About You You've built agents that survived contact with reality. You've shipped agent systems into production at scale—designed the harness, picked the orchestration patterns, owned the evals, and handled on-call—and you have strong opinions on where to draw the line between prompting, fine-tuning, retrieval, and code. You are comfortable learning an industry's actual operations (WMS quirks, shift cadence, exception handling) and letting that shape architecture. You raise the bar by writing canonical examples, picking foundational tools, integrating model providers, designing eval infrastructure, and setting standards for quality and reliability. You have strong opinions on eval datasets, prompt versioning, observability for agents, and building clean abstractions without over-engineering. You Will Architect the agent platform end-to-end—building the orchestration runtime, eval and observability stack, and integration layer to internal and customer systems (WMS/TMS/ERP). Own foundational technical decisions including model strategy, harness design, retrieval and memory architecture, tool surface, and quality measurement. Spend time in the field with customers and operators, translating operational insights into durable product and repeatable deployment patterns. Build evaluation as a disciplined engineering function—datasets, graders, regression suites, and experimentation tooling. Hire and mentor engineers and set engineering standards. Partner with leadership on the multi-year platform roadmap. You Have 7+ years of software engineering experience, including 2+ years of hands-on production work on LLM- or agent-based systems. Deep expertise in Python and/or TypeScript/Node.js, with experience designing distributed systems, APIs, and data models on PostgreSQL and modern messaging systems (Kafka, RabbitMQ, or equivalent). Demonstrated ownership of production agent systems including orchestration, tool use, retrieval, evaluation, observability, and cost/latency tuning. Background in vertical AI, AI-agent companies, forward-deployed engineering, or AI-native data companies. Bonus for supply chain, logistics, or industrial exposure. Experience leading 0-to-1 builds in early-stage environments. Strong written and verbal communication skills. Benefits Start-up equity. Competitive salary. 100% paid health, dental, and vision coverage. Dinner provided via DoorDash, free DashPass, and stocked kitchen for NY employees. Commuter benefit. Gympass benefit. Additional benefits include One Medical membership, HSA via Optum, Talkspace, HealthAdvocate, and Teladoc Health. Salary Range Details The compensation range for this position is $240,000 to $300,000, with potential exceptions for candidates whose qualifications significantly differ from those outlined. Equal Opportunity Employer The company evaluates all applicants without discrimination based on legally protected characteristics and encourages applicants from diverse backgrounds, experiences, and skill sets.

🏢 Summary: Staff Product Engineer role focused on architecting and building the company’s core backend services and foundational platform, partnering with the CTO to drive key architectural and product decisions. The position centers on scaling distributed systems, developing APIs, and enabling AI-driven operational workflows through robust infrastructure and CI/CD practices. 🗂️ Requirements: 7+ years experience with TypeScript/Node.js or Python, Experience with RabbitMQ or Kafka, Experience with PostgreSQL or equivalent databases, Proven experience designing and building scalable full-stack web applications, Expertise in API design and development, Experience with Docker and CI/CD pipelines, Experience with GitHub Actions, Experience with Datadog or similar monitoring tools, Experience leading projects and making architectural decisions, Experience optimizing database queries and distributed systems performance 📃 Skills: TypeScript, Node.js, Python, RabbitMQ, Kafka, PostgreSQL, Docker, GitHub, GitHubActions, Datadog, CI/CD, APIs, SQL, DistributedSystems, Microservices 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale.We are backed by Founders Fund, Khosla Ventures, and General Catalyst.We are seeking an experienced & entrepreneurial staff product engineer to join the founding team to lead the development of our core suite of backend services and platform. You'll partner with our CTO to help make key architectural decisions, iterate on the roadmap, own product decisions, and architect & build our foundational tech platform to enable scaling over the next several years.About You:Voracious learner. You love diving into new areas and exploring new languages, databases, and technologies, and can discuss API design one minute and deployment infrastructure pipelines with tech leads the next.Value clear communication. You recognize the importance of clear communication, documented planning, and transparent, frequent feedback.Sweat the small stuff. You have strong opinions on design patterns, IDEs, tabs vs. spaces—you understand that how you do one thing is how you do everything, so you care about the details.Deep experience building full-stack web applications. You have designed and built performant, scalable applications, and have expertise in developing APIs, data modeling, optimizing database queries, and scaling distributed systems.You Will:Architect and lead the development of our core systems—from real-time job matching algorithms to autonomous worker vetting pipelines powered by ML and AI agents.Own architecture decisions for our tech platform and advise key product & infrastructure decisions, thinking ahead for what the company and engineering team will need a year or two from nowOrchestrate our CI/CD workflows, using Docker & Github, and drive efficiency through automated testingBuild analytics & monitoring to help understand our user experience & application healthDrive backend application performance measurement and optimizationContribute in a ton of other ways to a scrappy founding team building the future of flexible light industrial staffing!You Have:7+ years experience with Typescript/Node.js or Python, RabbitMQ or Kafka, and PostgreSQL or equivalentA track record of shipping amazing products and leading projects at scale with high velocityExpertise designing APIsExperience with Docker, Github Actions, and DatadogExperience working in an early-stage engineering team, working through ambiguity, and being a self-starterA passion for helping people find meaningful work that works for themBenefits: Start-up equity Competitive Salary 100% Paid health, dental & vision coverage️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees Commuter benefit Gympass Benefit✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc HealthSalary Range DetailsThe compensation range for this position is set between $240,000 and $300,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.Equal Opportunity EmployerTraba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets.Our ValuesDream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results.Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field.Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience.Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problemsWhat is light industrial labor?Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency.Job Applicant Privacy NoticeCompensation Range: $240K - $300K

🏢 Summary: Senior AI Agent Engineer role focused on building and deploying production-grade AI agents on top of frontier LLMs for supply chain operations. You will design agent harnesses, evaluations, orchestration, and supporting infrastructure, partnering closely with product and customers to take ideas from 0 to scaled deployment. The position combines deep hands-on LLM engineering with distributed systems and customer-embedded product development. 🗂️ Requirements: 5+ years of software engineering experience, 1+ year shipping LLM- or agent-based features to production, Strong proficiency in Python and/or TypeScript/Node.js, Experience designing APIs and distributed systems, Experience with PostgreSQL and data modeling, Hands-on experience with prompt engineering and evaluation frameworks, Experience with agent orchestration patterns and frontier model APIs 📃 Skills: Python, TypeScript, Node.js, LLMs, Prompting, PostgreSQL, APIs, DistributedSystems, Orchestration, Retrieval, MCP, WMS, TMS, ERP 🏢 Description: We are seeking an entrepreneurial Senior AI Agent Engineer to join as a founding member of the Agents team and build the next layer of an agentic platform that synthesizes marketplace data and operates autonomously inside customers' supply chain workflows. You will own the AI agents and the infrastructure they depend on, partnering closely with the CTO, product, and operators to take ideas from 0 to scaled deployments. About the Role You will embed deeply in customers' operations, design and ship production agent harnesses on top of frontier models, and turn field learnings into durable product. You will build the harnesses, evaluations, orchestration, and model strategy that power the broader product. Responsibilities - Embed with customers and operators to understand supply chain workflows and design agents that automate meaningful work. - Build production agent systems on frontier LLMs, including tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration. - Own evaluation as a first-class discipline using datasets from real traces, rubrics, graders, experiments, and measurable improvements. - Architect the data, services, and APIs the agent layer depends on, integrating internal systems with customers' WMS, TMS, and ERP environments. - Codify repeatable deployment patterns to accelerate new customer rollouts. Qualifications - 5+ years of software engineering experience, with 1+ year shipping LLM- or agent-based features into production. - Strong proficiency in Python and/or TypeScript/Node.js. - Experience designing APIs, distributed systems, and data models in PostgreSQL. - Hands-on experience with production-scale prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs. - Track record of building in fast, ambiguous environments. - Excellent written and verbal communication skills. Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided via DoorDash, free DashPass, and stocked kitchen for NY employees - Commuter benefit - Gympass benefit - Additional benefits: One Medical membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health Salary Range The compensation range for this position is $200,000 to $240,000, with potential exceptions based on candidate qualifications.