Contracts Manager
Harvey
Principal Product Manager, Analytics
Digital Science
full-time
Posted on:
Origin: • 🇩🇪 Germany
Visit company websiteJob Level
Lead
About the role
- About us: Digital Science advancing the research ecosystem
- DS Nova: dedicated AI innovation unit creating AI-native research tools
- Role: Principal Product Manager in DS Nova leading 0 to 1 product discovery
- Lead problem space definition, set goals, identify opportunities, conduct market research, competitive analysis, define differentiation and early commercial positioning, develop frameworks and evaluation criteria
- Collaborate with engineering and research teams to assess technical feasibility, data needs, and cost-effectiveness
- Work alongside AI systems in product discovery, translate complex AI challenges into market opportunities and user value propositions
- Define success metrics combining model performance, user experience, and business outcomes
- Shape human-in-the-loop workflows, ensure data quality and evaluation methodologies
- Guide rapid prototyping sprints, prioritize and refine features, prepare deliverables and readiness for handoff to core product teams, create and deliver demos
- Act as liaison between engineering, design, data, commercial, and client-facing teams, communicate value propositions, provide strategic feedback on technical requirements, contribute in team standups and strategic planning
- Champion responsible AI practices including bias mitigation, transparency, privacy protection, ensure explainability and documentation, balance innovation with ethics and regulatory requirements
Requirements
- 4+ years of product management experience with a strong track record in discovery, definition, and delivery
- Proven ability to build products from scratch in agile or iterative environments
- Experience translating technical complexity into clear user and market opportunities
- Success working with cross-functional teams across engineering, design, and commercial functions
- Strong analytical skills with experience in market research, competitive analysis, and synthesis of stakeholder feedback
- Familiarity with SaaS business models and enterprise product lifecycles
- Practical knowledge of AI and machine learning concepts, including training data and evaluation
- Experience with AI ethics frameworks and bias detection methodologies
- Understanding of researcher workflows, academic publishing, or scientific software is a strong plus
- Experience with proofs of concept and early-stage product transitions
- Experience with data visualization, analytics platforms, or research intelligence tools preferred
- Understanding of research metrics, bibliometrics, or citation analysis is a strong plus
- Knowledge of natural language interfaces, automated reporting, or contextual insights tools
- Familiarity with trend analysis or predictive analytics applications
- Excellent presentation skills with the ability to convey complex ideas to executives, clients, and technical teams
- Strong stakeholder management across technical and commercial functions
- Ability to design and deliver compelling product demos and presentations
- Skilled at providing strategic input on technical documents and client requirements
- Thrives in fast-moving and ambiguous environments with minimal process overhead
- Comfortable making decisions with incomplete information and pivoting quickly based on feedback
- Curious, experimental, and motivated to generate momentum in uncertainty
- Experience serving as translator between technical AI capabilities and business/user value
- Interested in pioneering product practices that balance speed, rigor, and responsible AI.
