Product Manager

Product ManagerLocation: New York, NY or San Francisco, CA Company Stage of Funding: Growth Stage / High Growth Office Type: On-site — 5 days/week in New York or San Francisco Salary: $150,000 – $250,000 + Competitive Equity Equity: Competitive Visa: Open to Visa Transfers — OPT and H-1B transfers supported; able to sponsor most visas except net-new H-1Bs Travel: No significant travel requiredCompany DescriptionOur client is building the AI operating system for the industrial supply chain — connecting warehouses, manufacturers, logistics providers, and workers that power the physical goods people rely on every day.The company began by tackling labor and building a staffing marketplace that provides industrial businesses with consistent, reliable temporary workforces. Since then, it has expanded into an AI and software layer designed to transform how industrial supply chain businesses operate.The company is now building AI agents that help logistics providers, manufacturers, 3PLs, and other industrial businesses automate manual workflows, derive insights from operational data, and improve decision-making.The product portfolio combines marketplace technology, staffing workflows, enterprise software, AI agents, operational data, and automation to solve complex problems across the industrial supply chain.The team is approximately 75 people and operates in a fast-growing startup environment with a strong focus on customer impact, operational excellence, and rapid product development.The Product Manager will work closely with engineers, designers, data analysts, ML teams, other product managers, operations, field teams, customers, and senior product leadership.There are two primary product areas for this search:Staffing AI: Own and evolve the core staffing and marketplace product, solving complex problems across customer demand, worker supply, matching, fulfillment, marketplace liquidity, and operational efficiency.AI Agents / Neo AI: Join as a founding member of the Agents team and help build a 0-to-1 agentic platform that operates within customers' supply chain workflows, using AI to reason through complex processes, make decisions, and execute operational work.Both tracks require strong product judgment, technical fluency, customer empathy, data-driven decision-making, and the ability to operate with significant ownership in a fast-moving environment.Staffing AIOwn product strategy across core staffing and marketplace workflowsSolve complex marketplace problems by balancing customer needs, operational realities, and business outcomesWork across both sides of the marketplace, including enterprise customers and workersUnderstand customer demand, worker supply, marketplace liquidity, matching, and fulfillment dynamicsWrite detailed product requirements and partner closely with engineering to execute themBuild systems that improve marketplace liquidity, fulfillment, matching quality, and operational efficiencyUse data to uncover patterns and answer critical marketplace and customer questionsPartner with data analysts to understand marketplace performance and identify product opportunitiesDesign internal tooling and technical solutions that allow operations to scaleBuild products that improve reliability and quality across staffing workflowsLaunch and iterate products across customers, regions, and operational environmentsWork closely with operations and field teams to understand real-world workflowsTranslate operational challenges into scalable product solutionsDevelop a deep understanding of customer workflows and marketplace dynamicsIdentify opportunities to improve customer experience and operational efficiencyCommunicate complex ideas clearly across systems, workflows, operational models, and product strategyWork directly with senior product leadership to define priorities and product directionAI Agents / Neo AIOwn product strategy for an AI agent platform transforming industrial supply chain workflowsJoin as a founding product member of the Agents teamHelp build a 0-to-1 agentic product platform from the ground upWork directly with customers and early design partners to identify high-value AI workflowsEmbed deeply in customer operations to understand how work is currently performedRapidly validate and prototype product concepts alongside customersPartner closely with product engineers and ML teams to design and ship production AI agentsDesign agent systems that reason through workflows, orchestrate tools, maintain context, and execute meaningful workDefine product behavior and expected system outcomesDevelop evaluation systems and quality frameworks for AI agent reliability and performanceDetermine how agents should behave across ambiguous and evolving workflowsUse data to uncover patterns and answer key product and system questionsDevelop a deep understanding of model capabilities, limitations, and system architectureTranslate emerging AI capabilities into practical customer-facing productsDesign workflows where AI agents can automate operational tasks and decision-makingIdentify opportunities for AI agents to reason across multiple systems and data sourcesWork closely with founders, engineers, ML teams, and early customersDevelop a deep understanding of customer operations and the problems AI can solveIterate quickly as model capabilities and product requirements evolveCommunicate complex concepts clearly across system behavior, evaluations, user experience, and business impactShape the product roadmap and technical direction for the AI platformOwn products from initial customer discovery and problem definition through launch and iterationCross-Functional Product LeadershipCollaborate closely with engineering, design, data, ML, operations, and go-to-market teamsTranslate ambiguous customer and business problems into clear product requirementsDefine product strategy, priorities, requirements, and success metricsMake data-informed product decisionsBalance customer needs with technical constraints and business objectivesWork across technical and operational environments to understand how products function in practiceCommunicate product decisions and tradeoffs clearly to technical and non-technical stakeholdersDrive alignment across multiple teams and stakeholdersTake ownership of product outcomes rather than simply managing deliveryOperate effectively in a fast-moving startup environment with changing prioritiesWork directly with senior leadership and contribute to broader company strategyBuild strong relationships with customers and internal operational teamsTranslate complex systems and workflows into clear product strategiesPartner with technical teams to ensure products are practical, scalable, and reliableContinuously evaluate product performance and identify opportunities for improvementIdeal Candidate BackgroundExperience Requirements3–10 years of product management experienceStrong experience owning complex products at fast-growing startupsStrong track record of owning product strategy and executionExperience taking products from problem definition through launch and iterationExperience working in environments with significant operational or technical complexityExperience partnering closely with engineering and design teamsExperience using data to drive product decisionsExperience working directly with customers or usersExperience operating in a high-ownership startup environmentComfortable working with ambiguous problems and limited existing playbooksExperience launching products across multiple customers, markets, or operational environmentsExperience owning products used by enterprise customers strongly preferredFor AI-focused candidates, experience building or launching AI-powered products strongly preferredFor AI-focused candidates, experience with LLMs, AI agents, agentic systems, or applied AI is strongly preferredFor marketplace-focused candidates, experience with marketplace, staffing, logistics, operations, or B2B products strongly preferredExperience with complex operational workflows is preferredExperience working directly with field or operations teams is a plusExperience working at a fast-growing technology startup is strongly preferredMust be based in or willing to relocate to New York City or San FranciscoMust be comfortable working on-site 5