{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Product Manager (Forge)”, “description”: “
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). Familiarity with Kubernetes/Slurm is a strong plus
- Relentless focus on solving real user problems, backed by data and qualitative insights
- Proven ability to align and inspire engineering, design, and go‑to‑market teams without direct authority
- 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
- Thrive in high‑velocity, dynamic settings where priorities shift quickly
- Low ego + high EQ — you build trust and drive decisions through clarity, not hierarchy
- Self‑directed with a bias for action, you own outcomes end‑to‑end
- (Desirable) Strong knowledge of model training, model architectures, etc.
- (Desirable) Strong understanding how complex architectures are designed and impact of deployment modes
- (Desirable) Proficient coding skills are strongly recommended
- (Desirable) Kubernetes know‑how strongly recommended
- (Desirable) Growth mindset: Deep familiarity with product‑led growth strategies (e.g., viral loops, onboarding optimization, monetization, etc.)
- (Desirable) Builder’s mindset: Founder or early‑stage PM experience — you’ve turned 0 to 1 ideas into products users love
- (Desirable) Technical depth: Ability to prototype, hack, or dive into code when needed
What the job involves
- 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
- In close collaboration with our applied AI scientists and research engineers you will translate frontier techniques into scalable and reliable solutions that industries can confidently adopt to customize and operate their AI systems
- 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
- 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
- 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
- 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
Company: Deepstreamtech
Location: London
Job Description:
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). Familiarity with Kubernetes/Slurm is a strong plus
- Relentless focus on solving real user problems, backed by data and qualitative insights
- Proven ability to align and inspire engineering, design, and go‑to‑market teams without direct authority
- 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
- Thrive in high‑velocity, dynamic settings where priorities shift quickly
- Low ego + high EQ — you build trust and drive decisions through clarity, not hierarchy
- Self‑directed with a bias for action, you own outcomes end‑to‑end
- (Desirable) Strong knowledge of model training, model architectures, etc.
- (Desirable) Strong understanding how complex architectures are designed and impact of deployment modes
- (Desirable) Proficient coding skills are strongly recommended
- (Desirable) Kubernetes know‑how strongly recommended
- (Desirable) Growth mindset: Deep familiarity with product‑led growth strategies (e.g., viral loops, onboarding optimization, monetization, etc.)
- (Desirable) Builder’s mindset: Founder or early‑stage PM experience — you’ve turned 0 to 1 ideas into products users love
- (Desirable) Technical depth: Ability to prototype, hack, or dive into code when needed
What the job involves
- 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
- In close collaboration with our applied AI scientists and research engineers you will translate frontier techniques into scalable and reliable solutions that industries can confidently adopt to customize and operate their AI systems
- 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
- 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
- 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
- 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
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Posted: May 20th, 2026