Qualtrics is looking to define the future of AI-powered insights by working with both structured and unstructured data to transform the experience management category. The company needs a Senior Product Manager to build and maintain strong business cases for products, own the full product lifecycle, and ensure products become world-class offerings that meet real customer needs.
Requirements
- 5-8 years of experience in product management, with at least 1-2 year experience in a technical domain (AI/ML, software, data analytics preferred).
- Proven track record of successfully launching and managing AI or data-driven products.
- Strong understanding of the enterprise software landscape and the challenges faced by enterprise customers.
- Ability to translate complex technical concepts into clear and concise language for both technical and non-technical audiences.
- Experience with Agile development methodologies (Scrum, Kanban) is a plus.
- Experience working with data science and engineering teams is a plus.
- Familiarity with machine learning concepts is a plus.
Responsibilities
- Translate customer needs into actionable product requirements and roadmaps for the AI platform.
- Collaborate with engineering and data science teams to define product specifications and ensure the platform meets customer requirements.
- Manage the product development lifecycle from ideation to launch, ensuring timely delivery and high-quality standards.
- Monitor and analyze product performance using key performance indicators (KPIs) to identify areas for improvement and make data-driven decisions.
- Develop & execute product strategy for AI powered experiences for Qualtrics products and services
- Write Product Investment Docs; turn these into prioritized roadmaps
- Manage work and execute with excellence across product, engineering, UX design and research.
Other
- Partner with stakeholders across the organization to understand enterprise customer needs and pain points related to AI.
- Prioritize features and functionality based on market research, customer feedback, technical feasibility, and business goals.
- Develop and communicate the product vision and roadmap to internal and external stakeholders.
- Stay up-to-date on emerging trends in enterprise AI and translate them into product opportunities.
- Create compelling product presentations and marketing materials to drive adoption of the AI platform.
