Product Manager, Forge
SKILLS
FULL DESCRIPTION
We are seeking a talented and experienced product manager to define and execute the strategy for Forge, our product that enables customers to build, fine-tune and deploy custom AI models at scale. Forge turns cutting-edge research into enterprise-ready capabilities by powering model fine-tuning, reinforcement learning and post-training workflows. By working at the intersection of research and product it provides customers with the tools to train specialized models that deliver real-world business value. As the PM leading Forge you will shape a 0-1 product with significant business impact and the potential to grow offering while defining how organizations train and deploy the next generation of AI models.
Role summary
We are seeking a talented and experienced product manager to define and execute the strategy for Forge, our product that enables customers to build, fine-tune and deploy custom AI models at scale. Forge turns cutting-edge research into enterprise-ready capabilities by powering model fine-tuning, reinforcement learning and post-training workflows. By working at the intersection of research and product it provides customers with the tools to train specialized models that deliver real-world business value. As the PM leading Forge you will shape a 0-1 product with significant business impact and the potential to grow offering while defining how organizations train and deploy the next generation of AI models.
What you will do
Required Qualifications
Product Management Experience
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
Technical skills
- 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). Familiarity with Kubernetes/Slurm is a strong plus.
User obsession
Relentless focus on solving real user problems, backed by data and qualitative insights.
Cross-functional influence
Proven ability to align and inspire engineering, design, and go-to-market teams without direct authority.
Problem-solving
Balance big-picture thinking with hands-on problem-solving — you’re equally comfortable crafting a roadmap, diving into metrics and running technical tests.
Communication: Crisp, persuasive storytelling for executives, teams, and users — ability to distill complex technical concepts (e.g., RL, LoRA, SFT) into clear narratives for docs, decks, and workshops.
Adaptability: Thrive in high-velocity, dynamic settings where priorities shift quickly.
Collaboration: Low ego + high EQ — you build trust and drive decisions through clarity, not hierarchy.
Autonomy: Self-directed with a bias for action, you own outcomes end-to-end.
Now, it would be ideal if you have:
- Strong knowledge of model training, model architectures, etc.
- Strong understanding how complex architectures are designed and impact of deployment modes
- Proficient coding skills are strongly recommended
- Kubernetes know-how strongly recommended
Growth mindset: Deep familiarity with product-led growth strategies (e.g., viral loops, onboarding optimization, monetization, etc.).
Builder’s mindset: Founder or early-stage PM experience — you’ve turned 0 → 1 ideas into products users love.
Technical depth: Ability to prototype, hack, or dive into code when needed.