Technical Data

3 weeks ago

Germany, United States Canibuild Full time

About the Role We’re looking for aTechnical Data & AI Product Managerto join our growing team at Canibuild. This role is ideal for someone who can connect business needs, data opportunities, and emerging AI capabilities to deliver scalable, high-impact solutions. Key Responsibilities Define and own the roadmap fordata and AI/GenAI initiatives, from early discovery through delivery. Translate business and user needs intodata and AI-driven solutions, framing problems and hypotheses clearly. EnvisionAI and GenAI use casesacross Canibuild’s ecosystem — from automations to user-facing intelligence — and scope MVPs or spikes to validate feasibility. Collaborate withdata engineersto define and prioritize data pipelines, models, and infrastructure improvements. Work closely withdata analyststo ensure relevant KPIs, dashboards, and insights are delivered to stakeholders. Partner with otherProduct Managersto understand business flows, identify where data sits, and ensure consistent, reliable data usage across the platform. Partner withengineering and designto translate AI and data opportunities into user-centric features. Define and monitor success metrics for AI and data products — ensuring outcomes are measurable and traceable to business impact. Write clearuser stories and technical requirementsfor data and AI-related projects. Balance experimentation and delivery, ensuring short-term wins while building toward long-term AI maturity. Communicate clearly across technical and non-technical stakeholders, simplifying complex ideas and progress updates. Take strong ownership of your domain, working autonomously while keeping the broader team aligned. Requirements 4+ years of Product Management experience, ideally in SaaS or technology environments. Proven experience working withdata, analytics, or AI/ML/GenAI initiativesin a product or technical capacity. Strong understanding ofdata architecture concepts(data pipelines, APIs, integrations, SQL, ETL/ELT processes). Experience collaborating withdata engineers and analystson delivering data products or AI features. Solid grasp ofAI and GenAI capabilities(LLMs, embeddings, retrieval, automation, NLP, etc.) and ability to scope practical use cases. Comfort drivingspikes and proofs-of-conceptto validate technical feasibility before committing to full builds. Excellent skills inproblem framing, hypothesis testing, and prioritization. Strong ability to self-organize, take ownership, and communicate effectively under pressure. Experience working closely withengineering and design teamsin Agile environments. Proactive and pragmatic — balances innovation with feasibility. Excellent written and verbal communication skills. Available to work 9:00 AM – 5:00 PM AEDT, remote full-time. Immediate joiners preferred. Benefits Competitive salary, benefits, and opportunities for growth. A collaborative, fast-paced, and innovative culture that values initiative, ownership, and smart solutions. A remote-first environment with global collaboration. #J-18808-Ljbffr

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