At SPREAD, we enable engineering teams at leading companies such as Mercedes-Benz, Volkswagen, BMW, Bosch, and Rheinmetall to navigate the complexities of software-defined vehicles and products. Our platform transforms intricate engineering and software data into actionable Engineering Intelligence, providing teams with preconfigured applications and AI agents to access and apply critical product knowledge more effectively. This approach accelerates time-to-market by up to 10×, reduces costs by 50%, and enhances product quality.
Recognized for our innovation with accolades like the 2024 SPARK AI Innovation Prize (by Handelsblatt & McKinsey), inclusion in the EU AI Champions Initiative, and ranking among LinkedIn’s Top 20 Startups in DACH, SPREAD offers a dynamic environment where your contributions directly impact the evolution of engineering intelligence.

Activities

• Lead the development of our low-code “SPREAD Studio” and data-visualization SDK, shaping user journeys and API strategies.
• Collaborate closely with our Value Management and Engineering teams to translate industry-specific requests into scalable, repeatable features that serve a broad customer base.
• Work hands-on with low-code components (e.g., AppSmith, NodeRed) and open-source libraries like ECharts, GoJS, ensuring seamless integration into our SaaS platform.
• Utilize tools like Heap, Hotjar, or similar to define goals, monitor adoption, and iterate rapidly based on analytics.
• Evaluate and integrate open-source components, assessing license risks, community health, and contribution ROI.
• Conduct discovery interviews, participate in onboarding calls, and manage beta programs to gather feedback and enhance user experience.

Requirements

• 5+ years in Product Management within B2B SaaS, with at least 2–3 years focused on platforms featuring rich front-end or developer tooling.
• Demonstrated success with low-code/modular UI builders and integrating third-party open-source and proprietary components.
• Proven ability to scale features across multiple enterprise customers and industries.
• Comfortable discussing cloud architecture, DevOps, and API design with engineering leads.
• Hands-on experience with product analytics tools and A/B testing methodologies.
• Bachelor's or Master's degree in Computer Science, Engineering, Business, or equivalent practical experience.

Application Process

• TA interview → 45 min
• Manager interview → 60 min
• Meet the Engineering Managers → 45 min
• Meet Sales/Marketing → 45 min
• Meet the CPO → 45 min