Product Manager at Recruiting from Scratch in San Francisco, CA, New York, New York, Onsite

Job description

• The Product Manager will work closely with engineers, designers, data analysts, ML teams, other product managers, operations, field teams, customers, and senior product leadership.
• 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.
• This is an opportunity to join a rapidly growing technology company operating at the intersection of industrial operations, marketplaces, enterprise software, and applied AI.
• You’ll have the opportunity to solve complex product problems that directly affect how warehouses, manufacturers, logistics providers, and workers operate.
• Depending on your background, you may own critical staffing and marketplace workflows or help build a 0-to-1 AI agent platform designed to automate complex supply chain operations.
• The AI-focused work sits at the frontier of applied AI, combining customer discovery, product strategy, AI agents, evolving model capabilities, system architecture, evaluation, and production software.
• You’ll work closely with engineers, designers, data and ML teams, operations, customers, and senior leadership to turn ambiguous problems into products that operate in real-world environments.

Responsibilities

• Staffing AI
• 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
• AI Agents / Neo AI
• 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
• Cross-Functional Product Leadership
• 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

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
• Soft Skills
• 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

Skills

Required

• Strong product management fundamentals
• Strong product sense and judgment

Benefits

• Base salary: $150,000 – $250,000
• Mid-level: $150,000 – $190,000
• Senior: $180,000 – $210,000
• Staff: $210,000 – $250,000
• Compensation is candidate-dependent
• Competitive equity
• Open to visa transfers, including OPT and H-1B transfers
• Able to sponsor most visas except net-new H-1Bs
• 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