Full-Time Principal Product Manager, Enterprise AI Search
ServiceNow is hiring a remote Full-Time Principal Product Manager, Enterprise AI Search. The career level for this job opening is Manager and is accepting Waltham, Massachusetts based applicants remotely. Read complete job description before applying.
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About the Role:
As part of our Digital Transformation group, we deliver an intelligent, secure, scalable, performant, and accessible Platform, which serves as the foundation of ServiceNow’s products and customer experiences.
This role is on our PlatformX team within the Digital Transformation group, shaping the long-term future of our intelligent platform.
What you get to do in this role:
- Drive product strategy for search, retrieval augmented generation (RAG), and question-answering capabilities.
- Identify compelling product priorities and build consensus around them.
- Facilitate cross-functional teams to bring high-quality products to life.
- Manage the end-to-end product lifecycle and assume ownership of outcomes.
- Integrate user research, customer pilots, and market analysis into product requirements.
- Translate complex problems into clear and compelling requirements.
- Develop multimodal communications for diverse audiences.
- Forge partnerships with other product teams to drive adoption of search and GenAI capabilities.
- Establish and refine metrics and framework for measuring the quality and value of search and GenAI.
- Serve as team guide and coach lower-level employees.
To be successful in this role you have:
- Experience in leveraging or critically thinking about how to integrate AI.
- 8+ years of software product management experience, with 5 years in enterprise search.
- Direct experience building GenAI, natural language processing, or search capabilities.
- Experience capturing and defining product requirements and transforming them into a roadmap.
- Deep customer empathy and a track record delivering customer-centric solutions.
- Expertise in synthesizing qualitative and quantitative data.
- Experience navigating ambiguity and articulating tradeoffs.
- Demonstrated ability to solve problems at the intersection of machine learning quality and UX design.