Product Manager, Forge (AI)

TL;DR

Product Manager, Forge (AI): Defining and executing the strategy for the AI Forge product that enables customers to build, fine-tune and deploy custom AI models at scale with an accent on powering model fine-tuning, reinforcement learning and post-training workflows. Focus on translating frontier techniques into scalable and reliable solutions that industries can confidently adopt to customize and operate their AI systems.

Location: Must be based in Paris, France, with at least 3 days per week in the office.

Company

hirify.global believes in the power of AI to simplify tasks, save time, and enhance learning and creativity, offering a comprehensive AI platform designed to meet enterprise needs.

What you will do

• Shape and evangelize a compelling product strategy for Forge ensuring alignment with company goals and market opportunities.
• Lead market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends in SOTA AI post-training capabilities.
• Drive end-to-end product development, from ideation to launch and iteration—balancing speed, quality, and user delight.
• Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.
• Rally engineering, design, and business teams around priorities, trade-offs, and timelines.
• Maintain a dynamic roadmap that delivers quick wins while advancing long-term bets.

Requirements

• 5+ years of relevant experience in new, competitive, fast-paced and ambiguous environments with a track record of building and scaling complex AI/ML or infrastructure solutions.
• Very good understanding of training pipelines, RL loops, and model deployment architectures.
• Expertise in AI model lifecycle management, including fine-tuning, evaluation, and serving.
• Experience with Infrastructure as Code (IaC), containerization, and scalable deployment modes (e.g., on-prem, VPC, cloud).
• Proven ability to align and inspire engineering, design, and go-to-market teams without direct authority.
• Self-directed with a bias for action, you own outcomes end-to-end.

Nice to have

• Strong knowledge of model training, model architectures, etc.
• Proficient coding skills are strongly recommended
• Founder or early-stage PM experience — you’ve turned 0 → 1 ideas into products users love.

Culture & Benefits

• Competitive salary and equity package
• Health insurance
• Transportation allowance
• Sport allowance
• Generous parental leave policy