Lead AI Product Manager jobs in United States
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Pelico · 1 week ago

Lead AI Product Manager

Pelico is creating the factory of the future with their innovative operations management platform. They are seeking a Lead AI Product Manager to define and build autonomous AI agents that optimize supply chain operations for aerospace and manufacturing companies.

SoftwareSupply Chain Management
badNo H1BnoteU.S. Citizen Onlynote

Responsibilities

Own the product vision and execution for autonomous AI agents within the Pelico platform
Defining the architecture and capabilities of AI agents that autonomously handle supply chain planning, inventory optimization, production scheduling, and MRO workflows
Designing multi-agent systems and orchestration patterns that enable agents to collaborate, delegate tasks, and resolve conflicts
Building agentic workflows that integrate LLMs, specialized models, knowledge bases, tool use, and real-time decision-making
Establishing guardrails, approval mechanisms, and human-in-the-loop patterns for safe autonomous operation at enterprise scale
Defining success metrics for agent performance: task completion rates, decision quality, time savings, and business impact
Lead complex agentic AI initiatives requiring contribution from multiple Product Managers, Software Engineers, and Operations Researchers
Drive continuous discovery to identify high-value use cases where autonomous agents can replace manual workflows or augment human decision-making
Translate complex operational challenges into agent capabilities and tool interactions
Design agent personas, reasoning patterns, and action spaces tailored to supply chain planners, inventory managers, and operations teams
Pioneer agent-native UX paradigms: conversational interfaces, task delegation, proactive recommendations, and explainable autonomous actions
Launch new agentic products and capabilities that deliver 10x productivity improvements to enterprise customers
Work closely with engineering (algorithms, backend, data), customer operations, sales, and enterprise customers to ensure AI features deliver measurable value and achieve adoption at scale
Collaborate with VP Product and engineering leadership to define the AI product vision and strategy, balancing innovation with enterprise deployment requirements (scalability, explainability, security, compliance)
Drive excellence in AI product development processes, from experimentation frameworks to deployment best practices. Champion data-driven decision making and rapid iteration

Qualification

Agentic AI ExpertiseDeep Understanding of Agent ArchitecturesEnterprise B2B ExperienceTechnical DepthProduct Vision for AutonomyAnalytical & Strategic MindsetLeadershipDomain InterestCommunication Excellence

Required

5+ years in product management with 3+ years building AI/ML products, including hands-on experience with agentic AI systems, autonomous agents, or intelligent automation in Enterprise B2B SaaS
Strong grasp of agentic AI concepts including multi-agent systems, agent orchestration, and task decomposition
LLM-based reasoning, planning, and tool use (function calling, retrieval, code execution)
Agent memory systems, context management, and knowledge bases
Reinforcement learning from human feedback (RLHF) and agent training paradigms
Safety mechanisms: guardrails, approval workflows, explainability, and human oversight
Proven track record shipping autonomous AI products to large enterprise customers. Experience navigating enterprise concerns around safety, compliance, auditability, and controlled autonomy
Strong technical acumen to collaborate with ML engineers, data scientists, and algorithm developers on complex agentic systems. Comfortable discussing agent frameworks, prompt engineering, retrieval-augmented generation (RAG), fine-tuning strategies, and inference optimization
Ability to envision how autonomous agents will transform user workflows, identify high-ROI use cases for automation, and design the right balance between full autonomy and human collaboration
Demonstrated ability to lead cross-functional teams on cutting-edge AI initiatives, influence senior stakeholders, and drive 0-to-1 product innovation from concept to production
Genuine interest in supply chain, operations research, optimization algorithms, or manufacturing/aerospace industries. Passion for solving complex operational problems with intelligent automation
Data-driven approach to decision making, able to balance ambitious innovation with pragmatic enterprise deployment
Outstanding written and verbal communication skills. Able to articulate complex agentic AI concepts to executives, engineers, and end users alike
US Citizenship Required: This position requires US citizenship due to customer requirements and data handling obligations

Preferred

Experience building agent-based products with frameworks like LangChain, AutoGPT, CrewAI, or custom agent architectures
Background in operations research, optimization, constraint programming, or simulation
Experience with supply chain, manufacturing, or operational planning software
Familiarity with enterprise AI deployment challenges: model governance, versioning, monitoring, and observability
Previous experience at high-growth B2B SaaS startups or AI-first companies

Benefits

Premium health, dental, and vision coverage
401(k) with company match
Generous PTO policy + company holidays
6 weeks of Work from Anywhere
Budget for conferences, courses, and learning
Flexible work arrangements with remote flexibility
Collaborative, impact-driven culture with quarterly team events

Company

Pelico

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SaaS, Data platform, Supply Chain

Funding

Current Stage
Growth Stage
Total Funding
$72.44M
Key Investors
General Catalyst
2025-06-18Series Unknown· $40M
2022-04-15Series A· $32.44M
Company data provided by crunchbase