Product Manager

Overview

We are seeking an experienced Product Manager to join our expanding team and lead the strategic and hands-on development of our AI infrastructure design and management platform. This role involves shaping the product vision, building multi-year roadmaps, and driving product growth through collaboration with engineering, leadership, and customers. The position offers a hybrid work arrangement based in Heidelberg, Germany, or the San Francisco Bay Area.

Key Responsibilities

• Define and execute a multi-year vision and roadmap for the AI Scheduling product, covering job queuing, resource allocation, latency optimization, and large-scale reliability.
• Collaborate closely with engineering, infrastructure, and platform teams to build dependable capabilities serving enterprise and developer customers.
• Engage directly with customers to uncover unmet needs, validate product strategies, and make clear product decisions from diverse inputs.
• Track industry and technology trends in distributed systems, orchestration, and AI workload management, incorporating insights into the product roadmap.
• Partner with leadership to facilitate product launches, review roadmaps, and craft the overall product narrative.
• Establish tight feedback cycles between customers and engineering teams to enhance performance, usability, and reliability continuously.
• Contribute to go-to-market initiatives through product messaging, documentation, blogs, white papers, and presentations.

Required Qualifications

• Minimum five years of product management experience, especially owning infrastructure, platform, or developer tooling products.
• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent technical expertise.
• Proven success in formulating and delivering long-term product roadmaps beyond quarterly planning.
• Experience with cloud or cluster management technologies such as Kubernetes, OpenStack, Slurm, or VMware.
• Familiarity with machine learning systems components including compute hardware, communication layers, and AI toolchains.
• Understanding of machine learning software elements like models, inference engines, orchestration tools, and typical workflows for users and developers.
• Adept at making decisions amid ambiguity and incomplete information.
• Strong written and verbal communication skills for effective collaboration with engineers, executives, and customers.
• Ability to act as an independent contributor driving impact through insight and cross-functional influence.
• Excellent organizational skills managing multiple workstreams without compromising quality or momentum.
• Willingness and ability to travel up to 30% between Germany and the U.S. as required.

Preferred Qualifications

• Experience in AI/ML infrastructure or MLOps, understanding how scheduling supports training, inference, and evaluation pipelines.
• Portfolio showcasing technical writing, product specifications, or public content clarifying complex topics.
• Demonstrable achievements such as shipped products, adoption metrics, customer wins, or performance improvements.

Our Offer

• Opportunity to contribute to building and scaling a rapidly growing AI infrastructure startup.
• Competitive salary complemented by performance-based incentives, subsidized public transit ticket, and access to discounts.
• Flexible, hybrid, and remote-friendly work schedules.
• Flat organizational structure enabling fast decision-making and rapid innovation.
• A diverse, international team spanning Germany and the USA.
• Modern offices near Heidelberg Hauptbahnhof and in the Bay Area with excellent amenities.
• Choice of high-quality hardware and equipment for your work setup.

About Turbalance

Turbalance GmbH is an innovative startup specialized in transforming AI laws through creative problem-solving. Our dedicated team embraces challenges with passion and expertise to drive forward-thinking solutions. We are committed to an inclusive, respectful workspace where diversity is embraced and individuals can fully leverage their talents.

Inclusivity Statement

We foster an environment where diverse perspectives are valued and respected. Our recruitment process is designed to be inclusive, and we welcome requests for accommodations during application and interviews to ensure equal opportunity for all candidates.