Product Manager - AI Platform (m/f/x) at Scalable GmbH
At a glance
- Company
- Scalable GmbH
- Location
- Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Scalable GmbH job
- 🏢 Scalable GmbH has 242 jobs here, 240 with visa sponsorship see all
- 📊 25 Product Manager jobs in Germany in the last 60 days see them
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask Scalable GmbH if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Define and own the strategic roadmap for an internal "AI as a Platform" offering that provides reusable, secure AI services to domain teams.
- Lead a cross-functional team (AI engineers, data scientists, software engineers) to deliver APIs, tooling, and integrations for internal consumers.
- Identify and prioritise high-value AI use cases across client experience and operational efficiency (personalisation, fraud detection, automation).
- Coordinate implementation timelines across platform and domain teams; ensure smooth integration and operational readiness.
- Lead AI compliance, governance and risk processes: data lineage, model validation, access controls and auditability for regulated environments.
- Measure impact with KPIs, run experiments, and iterate product features based on usage and outcomes.
Requirements:
- Product management experience building or operating AI platforms, ML infrastructure, or developer-facing services.
- Strong understanding of LLMs, agent architectures, prompt design and practical trade-offs when using external vs internal models.
- Experience with APIs, data governance, regulatory requirements and secure deployment of ML services (FinTech/regulatory context a plus).
- Strong analytical skills, experience with experimentation, metrics-driven decisions and stakeholder management across technical and business teams.
- Excellent communication and cross-functional leadership; ability to translate technical constraints into product plans.
Responsibilities
You will define and own the strategic roadmap for an internal AI platform, bridging the gap between technical teams and business stakeholders to operationalize AI capabilities. You will also drive AI compliance, governance, and the implementation of strategic use cases to enhance client experience and operational efficiency.
Requirements
The role requires proven experience as a Product Manager with a strong understanding of modern AI concepts like LLMs and agent architectures. Candidates must possess excellent analytical skills and the ability to collaborate effectively with engineering, data science, and legal teams.
Key skills
- Product management — in 242 other listings on The Stack
- Artificial intelligence — in 26 other listings on The Stack
- LLMs — in 80 other listings on The Stack
- Prompt design — in 17 other listings on The Stack
- Agent architectures — in 19 other listings on The Stack
- API management — in 12 other listings on The Stack
- Data governance — in 90 other listings on The Stack
- Regulatory compliance — in 55 other listings on The Stack
- Strategic roadmap
- Cross-functional leadership
- Agile methodologies
- Data analysis
- Backend services
- Machine learning
- Stakeholder management
On The Stack (as of 2026-11-05)
Frequently asked questions about Scalable GmbH
Is this Product Manager - AI Platform (m/f/x) role still open?
It was posted on 2026-11-04 and is listed as active on The Stack. Confirm on Scalable GmbH's application page before applying.
Does Scalable GmbH offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Scalable GmbH's site.
Where is this role located?
The listing gives the location as Germany. It is marked on-site.
What skills does this role ask for?
The listing names: Product management, Artificial intelligence, LLMs, Prompt design, Agent architectures, API management, Data governance, Regulatory compliance, Strategic roadmap, Cross-functional leadership, Agile methodologies, Data analysis, Backend services, Machine learning, Stakeholder management.