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.
\nForge 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.
\nAs 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.
\nKey Responsibilities:
\nDefine the Future • Set the vision: Shape and evangelize a compelling product strategy for Forge ensuring alignment with company goals and market opportunities.
\nSpot the gaps: Lead market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends in SOTA AI post-training capabilities.
\nBuild & Ship • Own the lifecycle: Drive end-to-end product development, from ideation to launch and iteration,balancing speed, quality, and user delight.
\nChampion the user: Partner with design and research to craft intuitive, high-impact experiences, using data and feedback to refine continuously.
\nScale, Execute, & Enable • Go-to-market: Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.
\nAlign stakeholders: Rally engineering, design, and business teams around priorities, trade-offs, and timelines.
\nPrioritize ruthlessly: Maintain a dynamic roadmap that delivers quick wins while advancing long-term bets.
\nRequirements:
\nProduct 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.
\nTechnical skills - Very good understanding of training pipelines, RL loops, and model deployment architectures,
\nExpertise in AI model lifecycle management, including fine-tuning, evaluation, and serving.
\nExperience with Infrastructure as Code (IaC), containerization, and scalable deployment modes (e.g., on-prem, VPC, cloud).
\nFamiliarity with Kubernetes/Slurm is a strong plus.
\nUser obsession Relentless focus on solving real user problems, backed by data and qualitative insights.
\nCross-functional influence Proven ability to align and inspire engineering, design, and go-to-market teams without direct authority.
\nProblem-solving Balance big-picture thinking with hands-on problem-solving , you’re equally comfortable crafting a roadmap, diving into metrics and running technical tests.
\nCommunication: 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.
\nAdaptability: Thrive in high-velocity, dynamic settings where priorities shift quickly.
\nCollaboration: Low ego + high EQ , you build trust and drive decisions through clarity, not hierarchy.
\nAutonomy: Self-directed with a bias for action, you own outcomes end-to-end.
\nPreferred Qualifications:
\nInfrastructure knowledge - Strong knowledge of model training, model architectures, etc.
\nStrong understanding how complex architectures are designed and impact of deployment modes
\nProficient coding skills are strongly recommended
\nKubernetes know-how strongly recommended
\nGrowth mindset: Deep familiarity with product-led growth strategies (e.g., viral loops, onboarding optimization, monetization, etc.).
\nBuilder’s mindset: Founder or early-stage PM experience , you’ve turned 0 → 1 ideas into products users love.
\nTechnical depth: Ability to prototype, hack, or dive into code when needed.
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