Sparsa AI is seeking a visionary Chief Product Officer to lead the end-to-end product strategy and delivery of its agentic AI platform
This executive role blends customer-centric product leadership with technical oversight of a multi-tenant SaaS and ML/AI stack. The ideal candidate brings solid experience in AI product development, cloud-native deployment, and cross-functional team building, with a strong focus on delivering enterprise-grade solutions. This is a high-impact opportunity to shape a category-defining platform in one of Europe’s most ambitious AI startups.
Tasks
Core Responsibilities
Customer-Centric Product Direction
- Define, own, and continuously evolve the end-to-end product roadmap in alignment with company vision and market demand.
- Translate output from the CAIO-led innovation stream into deployable enterprise-ready products.
- Prioritize product features and initiatives based on customer needs, business impact, and technical feasibility.
- Own the end-to-end product lifecycle: concept → MVP → iterative releases → scale.
- Set and uphold delivery, quality, and performance standards across the product organization.
- Own the architecture and operations of cloud-native infrastructure used to support product deployment and scaling.
- Lead development and oversight of AI/ML Ops systems ensuring robust, automated, and secure model training, testing, and deployment pipelines.
- Ensure alignment of product infrastructure with enterprise IT security, compliance, and integration requirements
- Partner closely with the CSO to align product strategy with go-to-market (GTM) execution.
- Drive delivery success for AI solutions across Sparsa AI’s customer base, ensuring measurable outcomes and operational reliability.
- Interface with key customers and partners to understand emerging needs and drive product-market fit in targeted (real economy) industries
Must-Have Skills
- 10+ years of experience in product or platform leadership, ideally in AI startups or SaaS environments.
- Demonstrated success delivering customer-facing software and ML/AI solutions from zero to scale.
- Strong ability to connect customer problems with technical solutions, and manage trade-offs.
- Experienced in building and leading cross-functional teams (product, engineering, cloud, MLOps) in agile environments.
- Proven experience building and scaling multi-tenant SaaS platforms with strong observability, compliance, and performance. Deep understanding of cloud-native ML architecture, MLOps best practices (CI/CD, versioning, drift detection), and integrating third-party tools across AWS, Azure, or GCP environments.
- Fluent English & German language skills
- A high degree of mobility and flexibility in location is preferred.
- Hands-on exposure to LLM agents, orchestration frameworks (LangChain, Semantic Kernel, etc.).
- Experience with developer platforms, agent SDKs, or enterprise integration stacks (e.g., SAP, MES, RPA).
- Experience with mainstream ERPs like SAP/Oracle etc.
- Experience in ERP and MES products like SAP, Siemens etc.
- Mindset & Culture Fit
- You are a builder and executor, not just a strategist.
- Thrive in ambiguity and are energized by both 0→1 and 1→N product challenges.
- Have deep empathy for both internal dev teams and external enterprise users.
- Share Sparsa’s mission to provide a Digital Workforce as a Service (DWAAS) through agentic AI
What You’ll Get
- Executive-level role in one of Europe’s most visionary AI companies.
- High ownership, equity participation, and impact on product and company direction.
- Direct collaboration with the founding team (CEO, CSO, CAIO).
- A platform to build something transformative for global industries.
If you are passionate about building transformative products at the intersection of AI and industrial operations, we invite you to shape the future with us. This is your opportunity to lead Product delivery in a fast-growing company that is redefining how the real economy works. At Sparsa AI, you'll work alongside an exceptional team, solve real-world problems, and leave a lasting impact on global industries.
Let’s build the future of Industrial AI-Agents—together.
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