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 of how complex architectures are designed and the 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) 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 growth, providing ample opportunities for professional development while prioritising user-centric design and data-driven decision-making. Located in a fast-paced environment, we offer a unique chance to shape the future of AI deployment, making a real difference in how industries operate and thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager (Forge)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your experience with AI/ML solutions. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by diving deep into the company’s products and their market position. Being able to discuss how you can contribute to Forge will set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining us.
We think you need these skills to ace Product Manager (Forge)
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 AI/ML solutions, so don’t hold back on the details!
Be Clear and Concise:When you’re writing your application, keep it crisp! We love persuasive storytelling, so make sure you can distill complex concepts into clear narratives that even non-techies can understand.
Demonstrate Your Problem-Solving Skills:We’re all about solving real user problems, so share examples of how you’ve tackled challenges in the past. Show us your hands-on approach and how you balance big-picture thinking with practical solutions.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to get your application and ensures you’re considered for this exciting opportunity at StudySmarter.
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’re crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight how you've tackled real user problems using data-driven insights. Think about specific projects where you’ve aligned teams and driven outcomes without direct authority.
✨Communicate Clearly and Confidently
Practice distilling complex technical concepts into simple narratives. You’ll need to convey your ideas effectively to both technical and non-technical stakeholders, so be ready to share your storytelling techniques.
✨Demonstrate Your Builder’s Mindset
Be prepared to discuss any experiences where you’ve taken a product from 0 to 1. Highlight your hands-on approach and how you’ve prototyped or coded when necessary to bring ideas to life.