Principal Product Manager, Data Innovation

Cint is a pioneer in research technology (ResTech) committed to innovation and expanding its portfolio of data solutions. The Principal Product Manager for Data Innovation will define and execute the product strategy for emerging synthetic data and data collaboration products, partnering closely with R&D, data science, and commercial leadership.

Responsibilities:

• Own the Product Vision: Develop and promote a multi-year product vision for Cint's Data Innovation portfolio. This includes synthetic data products and other new data collaboration solutions. You will be responsible for driving key business KPIs, such as product adoption, revenue, and market penetration
• Tell the Story: Masterfully articulate the "why" behind your product strategy. Bring complex customer and technical problems to life, inspiring and aligning senior leadership and the broader organization around your vision
• Execute with Excellence: Conduct thorough opportunity assessments, backed by data and customer research, to validate assumptions and prioritize initiatives. Author clear, comprehensive product requirements and partner with R&D leadership to navigate complex technical trade-offs
• Partner to Win: Build strong, trusted relationships with key stakeholders across R&D, Data Science, Commercial, Legal, and Marketing to ensure cross-functional alignment and a successful go-to-market

Requirements:

• Proven Product Leader: You have a proven track record of launching and scaling complex data products, platforms, or services from concept to market
• Customer-Obsessed: You are an expert in translating customer problems from the ResTech and data space into clear, well-structured product requirements, backed by data and qualitative insights
• Technical Data Expertise: You have direct experience managing the full lifecycle of AI/ML products: building, training, and fine-tuning models (e.g., LLMs). You have a solid understanding of the processes used to create, validate, and filter large-scale synthetic datasets and are comfortable discussing the trade-offs of alignment techniques (e.g., SFT, RLHF)
• Exceptional Communicator: You possess outstanding written and verbal communication skills and are seen as an expert storyteller. You can effectively partner with senior leadership and are skilled at managing complex stakeholder maps