Product Manager

Recruiting From Scratch•San Francisco, NY

5d•Onsite

About The Position

Our 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.

Requirements

3–10 years of product management experience
Strong experience owning complex products at fast-growing startups
Strong track record of owning product strategy and execution
Experience taking products from problem definition through launch and iteration
Experience working in environments with significant operational or technical complexity
Experience partnering closely with engineering and design teams
Experience using data to drive product decisions
Experience working directly with customers or users
Experience operating in a high-ownership startup environment
Comfortable working with ambiguous problems and limited existing playbooks
Experience launching products across multiple customers, markets, or operational environments
Experience owning products used by enterprise customers strongly preferred
For AI-focused candidates, experience building or launching AI-powered products strongly preferred
For AI-focused candidates, experience with LLMs, AI agents, agentic systems, or applied AI is strongly preferred
For marketplace-focused candidates, experience with marketplace, staffing, logistics, operations, or B2B products strongly preferred
Experience with complex operational workflows is preferred
Experience working directly with field or operations teams is a plus
Experience working at a fast-growing technology startup is strongly preferred
Must be based in or willing to relocate to New York City or San Francisco
Must be comfortable working on-site 5 days/week
Strong product management fundamentals
Experience writing detailed product requirements and specifications
Strong understanding of software development processes
Ability to partner effectively with engineering teams
Strong data-driven product management skills
Experience defining product metrics and success criteria
Ability to analyze product data and identify meaningful patterns
Strong understanding of user workflows and product behavior
Ability to translate complex technical concepts into clear product requirements
Strong technical fluency and ability to engage deeply with engineers
Ability to understand system architecture and technical constraints
Experience building internal tools or operational software is a plus
Experience with AI/ML products is strongly preferred for the AI Agents track
Understanding of LLMs, AI agents, model capabilities, or agentic systems is preferred for the AI Agents track
Experience defining AI product behavior and evaluation frameworks is a plus
Experience building marketplace products is preferred for the Staffing AI track
Experience with matching, fulfillment, liquidity, pricing, supply/demand, or operational systems is a plus
Experience with staffing or workforce marketplaces is a plus
Experience with logistics or supply chain products is a plus
Ability to move from customer discovery and prototyping into production product development
Strong product sense and judgment
Ability to prioritize effectively across competing opportunities
Comfortable working with technically complex products and systems
Ability to understand how data, systems, and workflows interact
Strong analytical and problem-solving capabilities
Strong customer empathy and ability to understand complex user problems
Comfortable spending significant time with customers and operational teams
Ability to identify the underlying problem rather than simply responding to feature requests
Strong understanding of customer workflows and operational realities
Ability to translate customer needs into scalable product opportunities
Comfortable working with enterprise customers and complex organizations
Ability to distinguish one-off requests from repeatable product opportunities
Strong understanding of how product decisions affect business outcomes
Comfortable validating ideas directly with customers
Ability to work with early design partners on new products
Strong interest in building products that solve real operational problems
Comfortable working in environments where technology and customer needs are rapidly evolving
For AI-focused candidates, strong curiosity about how AI can transform workflows and decision-making
For marketplace-focused candidates, strong understanding of marketplace dynamics and operational efficiency
Comfortable working with customers in operationally complex environments
Ability to understand both user needs and underlying business constraints
Ability to identify high-value opportunities from customer and operational feedback
Strong ability to translate real-world workflows into product requirements
Excited by products that have direct operational and business impact
Extremely high ownership and accountability
Strong product judgment
Highly proactive and self-directed
Comfortable operating with ambiguity
Strong first-principles problem-solving ability
Excellent written and verbal communication
Strong stakeholder management
Comfortable influencing without direct authority
Strong cross-functional collaboration
Low-ego and collaborative working style
Highly curious and intellectually engaged
Comfortable moving quickly and iterating frequently
Strong attention to detail
Comfortable making decisions with incomplete information
Strong bias toward action and execution
Comfortable working directly with senior leaders
Comfortable working directly with customers
Strong ability to simplify complex problems
Resilient and adaptable in a fast-changing startup environment
Motivated by meaningful ownership and company building
Strong customer obsession
High work ethic and willingness to take on difficult problems
Comfortable working across technical, operational, and business contexts
Comfortable taking ownership of ambiguous problems
Strong ability to communicate complex product concepts clearly
Comfortable operating in high-pressure, fast-moving environments

Nice To Haves

Relocation support available for candidates who need to move to New York or San Francisco
Opportunity to work on high-impact marketplace and AI products
Opportunity to build 0-to-1 AI agent products
Direct collaboration with senior product leadership
Opportunity to work closely with founders, engineers, ML teams, operations, and customers
Significant ownership over product strategy and execution
Exposure to applied AI, enterprise software, marketplaces, and industrial operations
Opportunity to build products that directly affect real-world supply chain operations
Fast-moving startup environment with significant product autonomy
Opportunity to work across both product strategy and technical execution
Opportunity to help shape the future of AI-powered industrial operations

Responsibilities

Own product strategy across core staffing and marketplace workflows
Solve complex marketplace problems by balancing customer needs, operational realities, and business outcomes
Work across both sides of the marketplace, including enterprise customers and workers
Understand customer demand, worker supply, marketplace liquidity, matching, and fulfillment dynamics
Write detailed product requirements and partner closely with engineering to execute them
Build systems that improve marketplace liquidity, fulfillment, matching quality, and operational efficiency
Use data to uncover patterns and answer critical marketplace and customer questions
Partner with data analysts to understand marketplace performance and identify product opportunities
Design internal tooling and technical solutions that allow operations to scale
Build products that improve reliability and quality across staffing workflows
Launch and iterate products across customers, regions, and operational environments
Work closely with operations and field teams to understand real-world workflows
Translate operational challenges into scalable product solutions
Develop a deep understanding of customer workflows and marketplace dynamics
Identify opportunities to improve customer experience and operational efficiency
Communicate complex ideas clearly across systems, workflows, operational models, and product strategy
Work directly with senior product leadership to define priorities and product direction
Own product strategy for an AI agent platform transforming industrial supply chain workflows
Join as a founding product member of the Agents team
Help build a 0-to-1 agentic product platform from the ground up
Work directly with customers and early design partners to identify high-value AI workflows
Embed deeply in customer operations to understand how work is currently performed
Rapidly validate and prototype product concepts alongside customers
Partner closely with product engineers and ML teams to design and ship production AI agents
Design agent systems that reason through workflows, orchestrate tools, maintain context, and execute meaningful work
Define product behavior and expected system outcomes
Develop evaluation systems and quality frameworks for AI agent reliability and performance
Determine how agents should behave across ambiguous and evolving workflows
Use data to uncover patterns and answer key product and system questions
Develop a deep understanding of model capabilities, limitations, and system architecture
Translate emerging AI capabilities into practical customer-facing products
Design workflows where AI agents can automate operational tasks and decision-making
Identify opportunities for AI agents to reason across multiple systems and data sources
Work closely with founders, engineers, ML teams, and early customers
Develop a deep understanding of customer operations and the problems AI can solve
Iterate quickly as model capabilities and product requirements evolve
Communicate complex concepts clearly across system behavior, evaluations, user experience, and business impact
Shape the product roadmap and technical direction for the AI platform
Own products from initial customer discovery and problem definition through launch and iteration
Collaborate closely with engineering, design, data, ML, operations, and go-to-market teams
Translate ambiguous customer and business problems into clear product requirements
Define product strategy, priorities, requirements, and success metrics
Make data-informed product decisions
Balance customer needs with technical constraints and business objectives
Work across technical and operational environments to understand how products function in practice
Communicate product decisions and tradeoffs clearly to technical and non-technical stakeholders
Drive alignment across multiple teams and stakeholders
Take ownership of product outcomes rather than simply managing delivery
Operate effectively in a fast-moving startup environment with changing priorities
Work directly with senior leadership and contribute to broader company strategy
Build strong relationships with customers and internal operational teams
Translate complex systems and workflows into clear product strategies
Partner with technical teams to ensure products are practical, scalable, and reliable
Continuously evaluate product performance and identify opportunities for improvement