Senior Product Manager II - Research/Survey methodologie

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. Qualifications

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; advanced degree or specialized certifications strongly preferred.

Prior experience in the Audience Measurement / Media industry is a plus.