At a Glance
- Tasks: Lead the strategy for Forge, enabling custom AI model deployment and fine-tuning.
- Company: Join a cutting-edge tech firm at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and innovation.
- Why this job: Shape the future of AI with impactful products that solve real user problems.
- Qualifications: 5+ years in product management with expertise in AI/ML solutions.
The predicted salary is between 70000 - 90000 € per year.
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
Product Manager (Forge) in London employer: Deepstreamtech
As a Product Manager at Forge, you will join a dynamic and innovative team dedicated to transforming cutting-edge AI research into impactful enterprise solutions. Our collaborative work culture fosters creativity and encourages professional growth, providing ample opportunities for you to lead high-stakes projects that shape the future of AI deployment. Located in a vibrant tech hub, we offer competitive benefits, a commitment to work-life balance, and a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager (Forge) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A personal connection can often get you a foot in the door faster than any application.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or examples of your work, make sure to share them during interviews. It’s a great way to demonstrate your expertise in AI/ML and product management.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of training pipelines and model deployment architectures. Being able to discuss these topics confidently will set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Plus, it shows you’re proactive and keen on being part of our team.
We think you need these skills to ace Product Manager (Forge) in London
Some tips for your application 🫡
Showcase Your Experience:Make sure to highlight your 5+ years of experience in fast-paced environments. We want to see how you've built and scaled complex AI/ML solutions, so don’t hold back on the details!
Be Clear and Concise:When you’re writing your application, keep it crisp and persuasive. We love a good story, especially when it distills complex concepts into clear narratives. Think about how you can communicate your ideas effectively!
Align with Our Vision:Show us that you understand our mission at StudySmarter. Talk about how your skills and experiences align with the goals of Forge and how you can help shape its strategy. We’re all about collaboration!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Deepstreamtech
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI model lifecycles, training pipelines, and deployment architectures. Be ready to discuss your experience with these concepts in detail, as they are crucial for the Product Manager role at Forge.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight how you've tackled real user problems using data-driven insights. This will demonstrate your relentless focus on user needs and your ability to balance big-picture thinking with hands-on problem-solving.
✨Communicate Clearly and Persuasively
Practice distilling complex technical concepts into clear narratives. You’ll need to convey your ideas effectively to various stakeholders, so think about how you can tell a compelling story around your past projects and their impact.
✨Demonstrate Your Leadership Style
Be ready to discuss how you've inspired teams without direct authority. Share specific instances where you've aligned engineering, design, and go-to-market teams around a common goal, showcasing your high emotional intelligence and low ego.
