Member of Technical Staff, Agent Delivery

Member of Technical Staff, Agent Delivery Full time · Remote · San Francisco or New York Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud. is building AI Agents to transform the physical economy — a $12 trillion global industry. We’ve raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we’ve achieved 700% revenue growth and are just getting started. Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow supply chain teams down — from scheduling and appointment setting to data entry and load management. Our flagship platform provides end-to-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time and integrate directly with customer systems. With deep supply chain expertise and cutting-edge AI capabilities, we’re positioned to build the next $10B company powering the physical economy. Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of supply chain technology. $160,000 - $200,000 Full-time / Onsite (5 days/week) / ~25% Travel About The Role We’re hiring Forward Deployed Product Engineers to deploy production AI agents inside some of the world’s largest logistics companies. You’ll work directly with customer operators, engineers, and executives to understand how critical workflows actually run. Then you’ll design integrations, debug production systems, and ship AI-powered workflows into environments that are often undocumented, fragmented, and business-critical. This role sits at the intersection of engineering, product, and customer operations. You’ll own deployments from initial discovery through production launch. You’ll spend time with customers, both remotely and onsite, solving complex operational problems and turning those solutions into reusable product capabilities. Success in this role is measured by outcomes. Can you get systems live, make them reliable, and solve problems in environments you do not fully control? Every deployment teaches us something new about how logistics companies operate. The patterns you uncover become product features. The problems you solve for one customer often become capabilities we ship across the platform. This role is for you if You enjoy debugging messy real-world systems more than building pristine internal abstractions. You like working directly with customers and uncovering solutions in ambiguous environments. You move quickly, make pragmatic decisions, and optimize for outcomes over elegance. You want ownership of real business impact, not just tickets or isolated services. You enjoy being the person who figures things out when documentation is incomplete, and the answer isn’t obvious. This role is likely not for you if You’re primarily interested in model research or pure ML experimentation. You prefer highly scoped platform work with limited customer interaction. You want detailed specifications before starting a project. You prefer remote-first environments or minimal travel. What You’ll Do Reverse engineer undocumented APIs, ERPs, TMS platforms, and internal tools with minimal guidance. Design and build integrations between customer systems and ’s AI platform. Debug production failures across distributed systems, authentication layers, data pipelines, and third-party services. Work onsite with customers to diagnose issues, ship fixes, and drive successful launches. Own customer deployments end-to-end, from technical discovery through production stability. Make pragmatic engineering tradeoffs under real-world constraints and tight timelines. Identify recurring implementation patterns and turn them into reusable product capabilities. Partner closely with engineering and product teams to shape the roadmap based on customer needs. Who You Are 2–5 years of experience building and owning production systems in high-growth startups or similarly demanding environments. Strong experience working with APIs, integrations, authentication systems, and event-driven architectures. Proven ability to debug complex systems in production. Comfortable operating in ambiguous environments where documentation is incomplete, and requirements evolve quickly. Strong communication skills and the ability to build trust with technical and non-technical stakeholders. Experience working directly with customers is a strong plus, Backend: Node + TypeScript on . Event-driven design with message passing and queues. Hosted on GCP LLMs: OpenAI, Anthropic, Google for foundation models; fine-tuned models on Vertex AI Frontend: Next.js + React + TypeScript. Hosted on Vercel Observability: Datadog for logging and metrics The estimated salary range for this role is $160,000–$200,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and growth opportunities. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location. We invest in our people the same way we invest in our product: seriously. Health, Vision, and Dental benefits Life Insurance and Accidental Insurance Generous salary and equity for all staff 401k option; helping you save for the future Yearly learning and development stipend Commuter benefits for Bay Area employees Uber ride stipend if you ever have to work late in the office Remote office home stipend to get you comfy in your space Daily catered lunches provided Onboarding trip to San Francisco HQ if you work remotely Annual Company Offsites; our last one was in Palm Springs CA Workplace Policy We are an in-person company. Our offices in San Francisco, New York City and London are where ideas get built, decisions get made, and the team gets stronger. We have invested in making them genuinely great places to spend your day, with catered lunches, monthly happy hours, and people who care about the work and each other. Most of our team works in office five days a week. For select roles, we hire remotely across the U.S. Remote employees come to one of our offices for their first week to onboard and meet the team, and we cover the full trip. Every role is different. Travel expectations are always shared upfront in the job description and confirmed in your first call with us. is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring. Accommodations complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law. #J-18808-Ljbffr Talanto