Overview:

We're looking for a technically strong Product Manager to join our PhariaAI Inference Team and help shape the future of our advanced inference platform. This role is ideal for someone with product management experience, a deep understanding of AI infrastructure, and a strong grasp of the performance and economics of large language model deployment.

Your responsibilities:

• Shape the product strategy and roadmap for our inference platform in close collaboration with engineering and research, aligning OKRs with business goals and user needs

• Provide clarity on goals and constraints, enabling the team to explore and deliver the best solutions.

• Work closely with engineering to prioritize and deliver high-impact features, ensuring a fast, reliable, and scalable inference stack

• Define clear, actionable requirements and success criteria that balance technical feasibility with user and business impact

• Continuously learn from real-world usage, incorporating performance metrics, user feedback, and experimentation results into iterative improvements

• Stay informed about the latest in inference technologies, optimization techniques, and the broader LLM landscape to inform product direction

• Partner with customer-facing teams to articulate the value and differentiation of our inference capabilities in a fast-moving competitive environment

Your profile:

• Experience in product management for software products, ideally with exposure to developer tools, AI/ML systems, or technical platforms

• Familiarity with modern product discovery and agile delivery practices

• Strong technical curiosity fluency and willingness to learn about AI inference technologies

• Strong communication skills, especially when distilling technical complexity for non-technical audiences

• Strong analytical skills to evaluate market trends and competitive offerings

• A customer-obsessed mindset and the ability to deeply understand user needs—even when those users are internal AI teams

• Ability to thrive in a fast-paced environment and manage multiple priorities

Bonus (but not required):

• Basic understanding of inference optimization techniques such as quantization, LoRA adapters, function calling, structured outputs, and batch processing

• Familiarity with the economics of LLM inference, including GPU utilization, token economics, and performance trade-offs

• Exposure to inference engines such as vLLM, SGLang, TGI, or similar technologies

• Experience with retrieval-augmented generation (RAG) pipelines, embeddings, and multi-modal systems

• Understanding of the challenges in long-context handling and advanced sampling methods

• Experience with multi-modal AI systems

What you can expect from us:

• Access to a variety of fitness & wellness offerings via Wellhub

• Mental health support through nilo.health

• Substantially subsidized company pension plan for your future security

• Subsidized Germany-wide transportation ticket

• Budget for additional technical equipment

• Regular team events to stay connected

• Flexible working hours for better work-life balance