Product Manager, Forge

What you will do

Define the Future

• Set the vision: Shape and evangelize a compelling product strategy for Forge ensuring alignment with company goals and market opportunities.
• Spot the gaps: Lead market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends in SOTA AI post-training capabilities.

Build & Ship

• Own the lifecycle: Drive end-to-end product development, from ideation to launch and iteration—balancing speed, quality, and user delight.
• Champion the user: Partner with design and research to craft intuitive, high-impact experiences, using data and feedback to refine continuously.

Scale, Execute, & Enable

• Go-to-market: Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.
• Align stakeholders: Rally engineering, design, and business teams around priorities, trade-offs, and timelines.
• Prioritize ruthlessly: Maintain a dynamic roadmap that delivers quick wins while advancing long-term bets.

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

Infrastructure knowledge

• 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.

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