Datasite is where deals are made. We provide the data rooms and SaaS technology used in M&A and other high-value transactions, to deliver projects in more than 170 countries. Carrying that success into the future is all about you. Your useful skills, your unusual experience, your unique ideas. Everyone here brings something unexpected. What's yours? Invest your talents in us, and we'll return the compliment.
We are looking for a customer-centric Senior Product Manager to join our distributed Product team, building data, artificial intelligence (AI) & machine learning (ML) solutions that will be used by our global client base. As a key contributor, you will be detail-oriented, but also capable of seeing the bigger picture. This is an opportunity to innovate in a complex space and will suit someone with a passion for collaboration, problem solving and building great experiences.
Product Strategy: Develop and communicate a clear product strategy within our data, AI & ML domains that aligns with the company's goals and emerging market trends, informed by data-driven insights, customer discovery and feedback.
Data-driven Decision-Making: Use data and analytics to identify opportunities and guide product development, ensuring that data-driven insights lead the decision-making process.
OKR Management: Define Objectives and Key Results (OKRs) that are data-driven and measurable to assess the success of your data, AI & ML product initiatives against the product strategy.
Roadmap Development: Create, maintain, and socialize a data, AI & ML product roadmap that outlines feature prioritization, release schedules, technical requirements, and dependencies across teams or initiatives.
Feature Specification: Define detailed feature specifications, including epics and user stories, technical requirements, and acceptance criteria, that can be understood and executed by cross-functional team.
Cross-Functional Collaboration: Work closely with cross-functional teams, fostering collaboration and ensuring alignment between different departments to deliver successful product outcomes.
Relationship Building & Stakeholder Engagement: Build strong relationships with stakeholders, communicate effectively, and create buy-in for product initiatives by ensuring alignment with their goals and needs.
Stakeholder Communication: Share concepts, roadmaps and progress updates with internal teams, executives, and other stakeholders, using data to drive transparency and understanding.
User Experience: Utilize data-driven user feedback and analytics to ensure an exceptional user experience, optimizing data, AI & ML features and functionality based on user behavior and objectives.
Security & Compliance: Maintain a security-first mindset in the product development process, ensuring robust safeguards, data protection, and compliance with legislation and standards.
Market Analysis: Perform research to stay informed about data, AI & ML industry trends, emerging technologies, and competitors, using these insights to keep our products competitive.
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