• Own ensuring everyone is set up to use and actually leverages data across the company via queries, dashboards, and alerts. • Manage week-to-week prioritization of data engineering and data science teams by identifying critical data dependencies, removing technical roadblocks, and ensuring efficient execution of workflows and OKRs. • Lead the deployment and integration of scalable systems to automate key processes (e.g. ERP -> financial workflows and reporting). • Enhance and automate processes for seamless, automated transaction processing. • Improve cross-functional workflows when integrating new partners, including QA implementation of our underwriting system and Risk analyses, while managing global timelines. • Define and measure technical success metrics, providing clear reporting on project progress, system performance, and business impact.

• Verantwortung für die Produktvision, Strategie und Zielerreichung eines oder mehrerer Produkte innerhalb des Natuvion DCS Portfolios rund um den Themenkomplex SAP Datenmigration & -transformation (inkl. Anonymisierung, Validierung und Vervielfältigung von Daten) • Definition, Verwaltung und Priorisierung des Product Backlogs mit starkem Fokus auf Kundennutzen und Business Impact • Zentrale Ansprechperson für Service Owner, Kunden, funktionsübergreifende Delivery-Teams, Vertrieb, Marketing und Partnerunternehmen • Enge Zusammenarbeit mit dem Technical Lead, um Prioritäten in skalierbare, qualitativ hochwertige und technisch umsetzbare Lösungen zu übersetzen • Aufbereitung von Initiativen in Epics und User Stories sowie Anforderungsklärung in Zusammenarbeit mit technischen und fachlichen Stakeholdern • Sicherstellen, dass Backlog‑Items der Definition of Ready entsprechen und ausgelieferte Features die Definition of Done erfüllen • Interne und externe Repräsentation des Produkts sowie selbstbewusste Kommunikation von Fortschritten, Prioritäten und Ergebnissen

• Manage end-to-end technical execution for pricing capabilities • Ensure Pricing tools and framework are aligned, automated, and scalable across global Sales and marketing processes • Partner closely with Pricing Strategy, Deal Teams, Data Science, and DT engineering teams to translate business strategy into technical requirements • Orchestrate delivery across complex systems and data flows • Ensure seamless integration between pricing models, analytics, approvals workflows, and customer-facing tools • Drive standard work, data quality, and continuous improvement • Direct the team with a clear and descriptive set of requirements • Mentor junior team members • Expert in Agile Methodology: Coaches others

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Technical Product Owner, you will be responsible for: - Fast iteration and backlog leadership: - Translate the VP’s strategy into a sequenced backlog of problems, user stories, and acceptance criteria that the Engineering team can deliver continuously. - Keep work “thin-sliced” so the team can ship frequently, learn quickly, and reduce risk through iteration. - Maintain a disciplined cadence of backlog refinement, sprint readiness, and scope negotiation to keep delivery predictable without slowing innovation. - Deep user and workflow understanding: - Leverage your hands-on DevOps experience and expertise in the real-world workflows of the professionals you’re building for - especially cloud operators and practitioners. - Use firsthand domain knowledge and ongoing customer conversations to identify friction, gaps, and opportunities for differentiation. - Prioritize enhancements that materially improve outcomes: speed, reliability, clarity, safety, governance, cost impact, or operational simplicity. - Customer validation and external communication: - Often speak with customers (aiming for 3-5 calls a week) and cross-functional DoiT stakeholders regularly to test ideas, validate assumptions, and pressure-test tradeoffs. - Communicate clearly and confidently: share concepts early, take feedback openly, synthesize input into decisions, and explain “why” in a way that builds trust. - Rely on your hands-on, DevOps experience to go deep with stakeholders (internal/external) into the technical details of the problem, our solution, and the contexts and environments in which both of these exist. - Support beta/design-partner motions where appropriate by shaping hypotheses, success criteria, and rollout plans. - Engineering-embedded technical product ownership: - Operate as a core member of the component’s Engineering team - present in daily collaboration, crisp in decision-making, and pragmatic about constraints. - Partner with Engineering leads on sequencing, technical tradeoffs, and delivery planning - ensuring product intent survives implementation realities. - Ensure the component is cohesive across UX, APIs, data, and operational behavior - and that it meets a high bar for reliability and customer trust. - Quality, outcomes, and measurement: - Define what “success” means for the component with clear metrics (adoption, activation, workflow completion, time-to-value, retention, reliability signals, customer-reported impact). - Instrument learning: make sure releases are measurable and that insights reliably flow back into prioritization. - Own release readiness for your component: documentation, enablement inputs, and clear communication of what’s new and why it matters. - Safety, governance, and trust by design: - Ensure product requirements account for real-world cloud environments: IAM boundaries, auditability, guardrails, and safe defaults. - Partner with security, support, and customer teams to anticipate edge cases and ensure the component earns trust over time. Qualifications - Experience working in a similar role of a Product Manager / Technical Product Owner. - 2–5 years of experience working closely with public cloud infrastructure, with a strong understanding of how it is operated and managed in production environments. - 3+ years of product management experience in products relevant to the Kubernetes technology or its ecosystem. - A strong product sense for turning messy problems into clear scope and shipped value - without waiting for perfect information. - Deep curiosity and technical fluency in cloud fundamentals (identity/IAM, networking, compute, Kubernetes, observability, automation, and cost/billing concepts), and experience building solutions that leverage or focus on these technologies. - Coding experience is a plus - enough to collaborate effectively with engineers, reason about feasibility, and understand system behaviors. - Excellent communication skills: you can explain complex ideas simply, facilitate alignment, and confidently engage with customers and experts. - A bias for action and continuous improvement: you ship, measure, learn, and iterate - building a component that becomes a meaningful competitive differentiator. Bonus Points - Experience with developer tools, infrastructure, and SaaS platforms. - Experience working directly with a founder or early-stage startup. - Background in analytics, growth, or UX research. How success will be measured - The component’s roadmap advances through frequent, high-quality releases with clear customer value. - Customer feedback loops are strong: you can show how insights translated into shipped improvements. - Adoption and outcomes improve measurably (usage, engagement, workflow completion, reliability, and customer impact). - The Engineering team consistently has clarity on the next most valuable increment to build - and why. Benefits - Unlimited PTO - Flexible Working Options - Health Insurance - Parental Leave - Employee Stock Option Plan - Home Office Allowance - Professional Development Stipend - Peer Recognition Program Company Description DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.