Director Of Labs (Product Management)

Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.

This is a strategic leadership role with deep technical roots. You'll lead a team of AI engineers to rapidly transform concepts into early-stage products — from first principles through to validated, handoff-ready innovations. Labs is where Fetcherr's next product lines are born, and you're the one who decides what gets built, what gets killed, and what gets shipped.

You'll own the full Labs pipeline — from raw idea intake through feasibility, prototyping, and handoff to Product and R&D — and you'll hire and shape the team that makes it all move fast.

If you've spent your career at the intersection of deep engineering and applied Gen-AI, and you have the scars to prove it, this role was built for you.

What You'll Own

Agentic AI Systems Design and prototype multi-agent architectures, reasoning pipelines, tool-use frameworks, and orchestration layers. You're fluent in the current agentic stack — LLM orchestration, RAG, memory systems, agent-to-agent communication — and you know when to use each.

Innovation Pipeline End-to-end ownership of the Labs process: structured idea intake, rapid feasibility assessment, prioritization, and a clear handoff protocol to Product and R&D. You're the bridge between raw exploration and the product roadmap.

Early-Stage Product Development You lead by building. You'll personally architect and develop early-stage product explorations that validate — or invalidate — new ideas quickly. Lean, focused, and optimized for learning, with an eye on what could become Fetcherr's next core capability.

AI & Model Research Drive applied AI and pricing model research within the Labs context, exploring new algorithms, data approaches, and model architectures relevant to Fetcherr's domain. You bridge the gap between academic research and production-ready thinking.

Team Leadership & Hiring Build the Labs team from the ground up. Define roles, set the hiring bar high, and foster a culture of fast experimentation, intellectual honesty, and deep technical craft. You'll attract engineers who thrive in ambiguity and ship despite it.

Requirements:

• 10+ years in software engineering, with at least 2 years in Gen-AI engineering leadership
• Proven track record shipping production-grade Gen-AI applications — not demos, real systems
• Hands-on expertise with LLM architectures, prompt engineering at scale, fine-tuning, and agentic frameworks (LangGraph, AutoGen, CrewAI, or equivalent)
• Deep understanding of RAG pipelines, vector stores, tool-use patterns, and multi-agent coordination
• Experience designing and running rapid experimentation loops — hypothesis → prototype → decision in days, not quarters
• Experience hiring and growing high-performing AI engineering teams
• Ability to context-switch fluidly between writing code and leading people — without dropping quality in either direction
• Fluency with agentic coding tools and AI-native development environments — Claude Code, Cursor, GitHub Copilot Workspace, and similar — used not just for productivity but as a core part of how you build and prototype
• Ability to prompt, chain, and orchestrate AI coding agents to compress cycle time from idea to working prototype
  
  

• Exposure to pricing, revenue management, or demand forecasting domains
• Experience with reinforcement learning or decision-making under uncertainty
  
  

• You're not optimizing an existing product — you're defining what Fetcherr becomes next
• Direct line to executive leadership with the autonomy to move fast and take real swings
• A technically ambitious team that respects depth over hype
• Competitive compensation, meaningful equity, and the chance to lead a function that matters