About Pelico 

We are creating the factory of the future where disruptions are avoided, processes synchronized and value captured. Our factory operations management platform enables factory teams to be more agile and resilient in a world where supply chain disruptions occur every 16 minutes. Pelico empowers users to identify bottlenecks, avoid problems, and focus on innovation instead of fire-fighting. Since our foundation in 2019, we’ve partnered with industry leaders across aerospace, industrial equipment, and luxury watchmaking, revolutionizing factory operations in over 15 countries. Esteemed clients include Airbus, Safran, Cartier, Daikin, and Eaton.

Our Team 

With a dynamic team of over 180 professionals across the US and France, Pelico is a melting pot of top-tier talent from Tech, Data Science, and Manufacturing domains.
Our collaborative environment fosters innovation and excellence, driving us to solve complex challenges and shape the future of manufacturing.

Our work has been recognized by Safran (Digital Transformation Award) and Microsoft (scale-up of the year).

Engineering turns Product ambition into scalable, reliable solutions that empower on-site operational teams.

We design a platform that handles high volumes, concurrent users, and complex workflows, while remaining modular, maintainable, and future-proof.

Your Missions

Pelico is seeking a Lead AI Product Manager to pioneer our agent-first product strategy in Miami. You'll define and build the next generation of autonomous AI agents that transform how aerospace and manufacturing companies plan, optimize, and execute complex supply chain operations. This is a unique opportunity to work at the frontier of agentic AI in enterprise B2B, creating intelligent systems that make decisions, take actions, and deliver measurable business value autonomously.

What you'll do & learn📖

• Agentic AI Product Strategy: Own the product vision and execution for autonomous AI agents within the Pelico platform. This includes:

  • 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

• Product Leadership for Autonomous Systems: 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

• Cross-functional Collaboration: 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

• Strategic Roadmap: 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)

• Continuous Improvement: Drive excellence in AI product development processes, from experimentation frameworks to deployment best practices. Champion data-driven decision making and rapid iteration

Preferred Experience

Pelico promotes inclusion and non-discrimination, and acts daily in favour of social mix, gender equality, and disability inclusion

What you embody 🎯

• Agentic AI Expertise: 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

• Deep Understanding of Agent Architectures: 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

• Enterprise B2B Experience: Proven track record shipping autonomous AI products to large enterprise customers. Experience navigating enterprise concerns around safety, compliance, auditability, and controlled autonomy

• Technical Depth: 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

• Product Vision for Autonomy: 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

• Leadership: 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

• Domain Interest: Genuine interest in supply chain, operations research, optimization algorithms, or manufacturing/aerospace industries. Passion for solving complex operational problems with intelligent automation

• Analytical & Strategic Mindset: Data-driven approach to decision making, able to balance ambitious innovation with pragmatic enterprise deployment

• Communication Excellence: 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

Nice to have:

• 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

What we offer💡

Join an exciting adventure with a lot of challenges at all levels!

• Work on a highly impactful AI-native product that transforms how the world's leading manufacturers plan and optimize operations

• Miami office location with modern workspace and collaborative environment

• Competitive compensation including base salary, performance bonus, and equity (Stock Options for every Pelican)

• Comprehensive benefits package:

  • Premium health, dental, and vision coverage

  • 401(k) with company match

  • Generous PTO policy + company holidays

  • 6 weeks of Work from Anywhere

• Professional development: Budget for conferences, courses, and learning

• Flexible work arrangements with remote flexibility

• Work directly with world-class aerospace and manufacturing customers

• Collaborative, impact-driven culture with quarterly team events

Our recruitment Process 📣

1. HR introduction call (30 mins)

2. Screening interview with VP Product (45 mins)

3. Case study: AI product scenario + 2-hour onsite presentation and discussion

4. Leadership interview with CEO (30 mins)

5. Reference checks & Job offer within 48 hours

Ready to shape the future of AI in manufacturing? We're excited to hear from you.