New offer - be the first one to apply!
June 30, 2026
Senior Product Manager (Marketplace)
Senior • On-site
180,000 - 210,000 USD/yr
San Francisco, CA , +1
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.
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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. 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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
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🏢 Summary: Full stack product engineer role focused on building and scaling core web and mobile applications, distributed systems, and AI-powered operational tools for industrial staffing workflows. The position involves leading frontend and backend development, making architectural decisions, and delivering scalable, high-performance systems in a fast-paced startup environment. 🗂️ Requirements: 5+ years experience in frontend and backend development, Proficiency in Typescript and Javascript, Strong experience with React and React Native, Experience with Node.js or Python, Experience building APIs and distributed systems, Experience with client-side state management, Experience with Docker and CI/CD pipelines, Experience with PostgreSQL databases, Experience with messaging systems, Ability to design and build scalable web and mobile applications 📃 Skills: Typescript, Javascript, React, ReactNative, Node.js, Python, PostgreSQL, RabbitMQ, Kafka, Docker, GithubActions, Datadog, APIs, DistributedSystems, CI/CD 🏢 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 and entrepreneurial full stack product engineer to join our founding team to help build our core suite of products—mobile apps for both workers & businesses, and web platforms for our business customers and internal Ops team. You'll work closely with our CTO to make key architectural decisions, iterate on the product roadmap, and build the foundational tech platform that will scale over the next several years.About You:Voracious Learner: You love exploring new areas, technologies, languages, and frameworks. You can seamlessly switch between discussing API design, user experience, and deployment infrastructure.Value Clear Communication: You prioritize clear communication, planning, and providing transparent, frequent feedback across the team.Detail-Oriented: You care about the small details, whether it's design patterns or tabs vs. spaces, and understand how everything contributes to the larger success of the product.Experienced in Building Full Stack Systems: You have a strong track record of building and shipping scalable, performant applications from frontend user interfaces to backend distributed systems.You Will:Lead the development of both frontend and backend applications, guiding and mentoring other engineers when necessary.Architect the development of our core systems—from real-time job matching algorithms to autonomous worker vetting pipelines powered by ML and AI agents.Design, architect, and build scalable web and mobile applications, distributed systems, and APIs to meet the growing needs of the business.Work closely with the product and design teams to create a seamless user experience while maintaining high standards for UI/UX.Establish and promote best practices for code reusability, performance, and build processes across both the frontend and backend.Implement systems to monitor application health and performance, helping the team understand user experience and resolve any issues proactively.Be a key player on a scrappy founding team, contributing to the future of flexible light industrial staffing.You Have:5+ Years of Experience in both frontend and backend technologies, specifically Typescript/Javascript, React/React Native, and Node.js or Python.Strong proficiency in building APIs, distributed systems, and client-side state management, along with experience with tools like Docker, Github Actions, and Datadog.A demonstrated ability to ship scalable, high-quality products in a fast-paced environment.Proficiency in databases like PostgreSQL and messaging systems such as RabbitMQ or Kafka.Previous experience working in early-stage engineering teams, thriving in ambiguity, and showing a self-starter attitude.A genuine passion for contributing to meaningful work, helping people find flexible job opportunities that fit their lives.Benefits: 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 $200,000 and $240,000, 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: $200K - $240K
Technology

Traba
Staff Software Engineer (AI Agents)
Senior
On-site
San Francisco, CA , +1
240,000 - 300,000 USD/yr
🏢 Summary: Staff Applied Agent Engineer role focused on architecting and leading the development of a production-grade agentic AI platform that integrates with customer operational systems and autonomously executes workflows in industrial environments. 🗂️ Requirements: 7+ years professional software engineering experience, 2+ years hands-on production experience with LLM or agent-based systems, Proficiency in Python and/or TypeScript/Node.js, Experience designing distributed systems and APIs, Experience with PostgreSQL and modern messaging systems, Ownership of production agent systems including orchestration, retrieval, evals, and observability, Experience building and deploying 0-to-1 products in early-stage environments 📃 Skills: Python, TypeScript, Node.js, LLM, PostgreSQL, Kafka, RabbitMQ, APIs, DistributedSystems, Retrieval, Orchestration, Observability, 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. 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 entrepreneurial Staff Applied Agent Engineer to join as a founding member of the Agents team and lead the development of Traba's agentic platform—the layer that synthesizes the data flowing through our marketplace, talks to our customers' operational systems, and acts autonomously inside the workflows that run their facilities. You'll partner with our CTO to make the core architectural calls on how agents are built, evaluated, and deployed at Traba; set the bar for quality and reliability; and bring the outside perspective on agent-building, FDE-style customer immersion, and data-product craft that this 0-to-1 product needs. About YouYou've already built agents that survived contact with reality. You've shipped agent systems into production at meaningful scale—designed the harness, picked the orchestration patterns, owned the evals, and lived with the on-call. You have strong opinions on where to draw the line between prompting, fine-tuning, retrieval, and code, and why.Domain depth meets technical breadth. You're as comfortable in a warehouse on a customer site as you are in a design doc. You learn an industry's actual operations—WMS quirks, shift cadence, exception handling—and let that knowledge shape architecture decisions. Ideal: prior experience at a vertical AI or AI-agent company (Nash, HappyRobot, Augment, Pallet, Harvey, Legora, ElevenLabs), Palantir/Scale-style FDE, or an AI-native data company (Hex, Omni, dbt).Set direction by shipping. You raise the engineering bar by writing the canonical example, not just the doc. You pick the foundational tools, integrate the right model providers, design the eval infrastructure—and you bring others along.Sweat the small stuff at staff scale. You have strong opinions on design patterns, eval datasets, prompt versioning, observability for agents, and the difference between a clean abstraction and an over-engineered one. You understand that how we do one thing is how we do everything.You WillArchitect Traba's agent platform end-to-end—the orchestration runtime, the eval and observability stack, the integration layer to internal services and customer systems (WMS/TMS/ERP), and the patterns that every agent we ship is built on.Own the foundational technical decisions for this part of the business: model strategy, agent harness design, retrieval and memory architecture, tool/MCP surface, and how we measure quality.Spend real time in the field with customers and operators. Translate what you see into durable product and codify repeatable deployment patterns so each rollout compounds on the last.Build evaluation as a real engineering discipline—datasets, graders, regression suites, experimentation tooling—so we ship agent improvements with the same confidence we'd ship backend code.Hire and mentor the engineers who will build alongside you. Set the technical standards that define what “good” looks like for applied AI at Traba.Partner with the CTO, product, and ops leadership on the multi-year platform roadmap. Think ahead to what the company and the agent layer will need a year or two from now, and start building it today.You Have7+ years of professional software engineering experience, with 2+ years of hands-on production work on LLM- or agent-based systems.Deep proficiency in Python and/or TypeScript/Node.js, and a strong track record designing distributed systems, APIs, and data models on PostgreSQL and modern messaging (Kafka, RabbitMQ, or equivalent).Demonstrated ownership of a non-trivial production agent system: orchestration, tool use, retrieval, evals, observability, cost/latency tuning, and the operational lessons that come with all of it.Background that maps to at least one of: vertical AI / AI-agent company, Palantir/Scale-style FDE, or an AI-native data company (Hex, Omni, dbt). Bonus for supply chain, logistics, or industrial operations exposure.A history of leading 0-to-1 product builds in early-stage environments—comfortable with ambiguity, pragmatic about tradeoffs, and high-agency by default.Strong written and verbal communication. You can run a customer workshop, write the design doc, and recruit your future teammates—often in the same week.A genuine excitement about industrial operations and the chance to use applied AI to make them dramatically better.Benefits 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
Technology
New offer

Traba
Staff Software Engineer (AI Agents)
Senior
On-site
San Francisco, CA , +1
240,000 - 300,000 USD/yr
🏢 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.