Short Description

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.

Your Mission

• 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.

Your Experience

1. 5+ years in Product Management within B2B SaaS, with at least 2–3 years focused on platforms featuring rich front-end or developer tooling.
2. Demonstrated success with low-code/modular UI builders and integrating third-party open-source and proprietary components.
3. Proven ability to scale features across multiple enterprise customers and industries.
4. Comfortable discussing cloud architecture, DevOps, and API design with engineering leads.
5. Hands-on experience with product analytics tools and A/B testing methodologies.
6. Bachelor's or Master's degree in Computer Science, Engineering, Business, or equivalent practical experience.

Why us?

• Category Creators: Our Agentic Engineering Intelligence platform connects fragmented hardware and software data into dynamic Product Twins. AI agents operate on this foundation to automate compliance checks, dependency analysis, and spec generation — enabling 10× faster time-to-market and 50% lower lifecycle costs for OEMs like Volkswagen, Mercedes-Benz, and Rheinmetall. Agentic Engineering SPREAD's Engineering Tech
• Industry-Relevant Impact: Traditional PLM systems hit their limits with software-defined products. At SPREAD, you'll guide leading manufacturers into the AI-driven era of engineering — unlocking millions in savings. Engineering Intelligence
• High Growth & Ownership: We’ve grown double digits every year since 2019 — and there’s a greenfield ahead in untapped industries and regions, ready for you to shape.
• Competitive Package: Attractive compensation + performance bonus, mobility budget (e.g. Deutschlandticket), Urban Sports Club membership, 30 vacation days, workation options, a volunteering day, and a €1,000 learning budget.
• Security & Flexibility: ISO 27001 and TISAX certified, fully GDPR-compliant, with flexible deployments (cloud or on-prem) and a hybrid work model designed to fit your life.

Contact

Dmytro İefymenko
recruiting@spread.ai

SPREAD AI
Köpenicker Str. 40c | 10179 Berlin

Stay connected—follow us on LinkedIn for the latest insights and updates

About us

SPREAD is pioneering Agentic Engineering Intelligence. Our low-code platform transforms fragmented hardware and software product data into dynamic Product Twins, creating an AI-ready knowledge base that powers smarter decisions and automation across the entire product lifecycle.
At the heart of our technology lies the world’s first Universal Engineering Information Model (EIN) — a semantic framework that connects domain-specific and lifecycle data into a federated Engineering Intelligence Graph, continuously evolving over time. This foundation enables specialized AI agents to execute tasks like compliance checks, dependency analysis, and specification generation — seamlessly integrated into the tools engineers already use.
The impact is tangible: companies using SPREAD achieve up to 10x faster time-to-market, 50% lower lifecycle costs, and significantly higher product quality.
Industry leaders such as Volkswagen, Mercedes-Benz, BMW, Audi, Rheinmetall, and others rely on SPREAD to build the next generation of software-defined products.
Headquartered in Berlin, SPREAD delivers enterprise-grade security (ISO 27001 & TISAX), full GDPR compliance, and flexible deployment options — in the cloud or on-premises.

Our Vision
The future of engineering is data-driven and agentic. We make product data the most accessible, intuitive, and impactful resource in engineering — so that engineers can unleash their full creativity and drive innovation at scale.