Senior Product Manager II - Research/Survey methodologie

Responsibilities

Define, communicate, and drive the refinement of the Product Roadmap, aligning strategy with overall business goals; Oversee the end-to-end product life cycle, from concept and development to launch and iteration; Prioritize the product roadmap, including a clear understanding of requirements, resources, execution timelines, and impact; Drive a consistently groomed product backlog in partnership with Engineering, Data Science, and Operations teams; Identify market trends, customer needs, and competitive landscape to inform product strategy; Lead stakeholder communication by consistently communicating priority decisions, associated trade-offs, and clear visions to management and other stakeholders; Drive cross-functional collaboration across engineering, data science, sales, and marketing to orchestrate the delivery of high-impact product solutions; Author requirements and features based on the voice of the customer, independently translating product strategy into execution by leading client feedback and Voice of Customer (VOC) meetings; Identify customer problems and workflow opportunities where AI, machine learning, and emerging technologies can unlock product capabilities and measurable business value; Partner closely with engineering, data science, and architecture teams to implement AI-powered solutions using appropriate approaches and tools, including machine learning, model orchestration, and MCP; Establish clear product requirements, success metrics, guardrails, and evaluation criteria for AI functionality, including quality, reliability, explainability, performance, and user adoption; Establish and track key performance indicators (KPIs) to measure the success and impact of the product initiatives; Ensure efficient and effective product development processes, including agile methodologies and best practices

Requirements

10–12 years of experience with recognized expertise in product management; Expertise in primary research/survey methodologies and data collection techniques; Familiarity with complex data methodologies to combine data assets into products, alongside experience with big data analytics and data flows; Modern AI Aptitude: Familiarity with AI product development concepts (e.g., model evaluation, prompt design, human-in-the-loop systems) and a strong eagerness to apply them. You are comfortable using AI tools to support requirements, UX designs, and documentation to increase speed-to-market and requirement quality; Ability to interpret internal and external business challenges and recommend best practices to improve products, processes, or services; Demonstrated leadership capabilities to drive complex initiatives and cross-functional projects. You excel at guiding collaborative teams, mentoring others, and leveraging analytical thinking to solve difficult problems and deliver high-impact results; Excellent communication skills with the ability to convey complex research and technical concepts, anticipate potential objections, and influence others; Knowledge of project and product management tools like Jira and Aha; Bachelor’s degree or equivalent experience

Nice to have

Advanced degree or specialized certifications; Prior experience in the Audience Measurement / Media industry