AI Summary
Lead product development for advanced research platforms, integrating AI-driven search and discovery solutions. Drive product vision and roadmap for AI-enhanced discovery tools. Partner cross-functionally with engineering, UX, and internal product teams.
Key Highlights
Drive product vision and roadmap for AI-enhanced discovery tools
Conduct customer interviews and manage SME feedback panels
Define OKRs and lead two-week Agile iteration cycles
Partner cross-functionally with engineering, UX, and internal product teams
Translate discovery insights into functional product requirements
Oversee the integration of search capabilities into a new research platform
Stay current with GenAI and NLP trends to guide development priorities
Document and hand off product specs to the Client and other stakeholders
Technical Skills Required
Benefits & Perks
6-month Contract-to-Hire opportunity
100% Remote work with travel (if local to Princeton, NJ or Philadelphia, PA)
Hybrid work recommended for local candidates
Job Description
Job Title: Technical Product Manager
Location: 100% Remote with Travel (if local to Princeton, NJ or Philadelphia, PA- hybrid recommended)
Start Date: Early to Mid-January
Duration: 6-month Contract-to-Hire
Job Description:
Lead product development for advanced research platforms, integrating AI-driven search and discovery solutions.
Day-to-Day Responsibilities:
- Drive product vision and roadmap for AI-enhanced discovery tools
- Conduct customer interviews and manage SME feedback panels
- Define OKRs and lead two-week Agile iteration cycles
- Partner cross-functionally with engineering, UX, and internal product teams
- Translate discovery insights into functional product requirements
- Oversee the integration of search capabilities into a new research platform
- Stay current with GenAI and NLP trends to guide development priorities
- Document and hand off product specs to the Client and other stakeholders
Must-Haves:
- Proven track record in product development
- Strong experience with scholarly research tools or content discovery systems
- Familiarity with search systems, taxonomies, indexing, and metadata
- Understanding of conversational AI, NLP-based search, and GenAI concepts
- Systems-thinking approach with UX, backend, and workflow integration
- High comfort with ambiguity and fast-paced environments
- Deep user research and product validation skills
- Understanding of build, measure, learn process
Nice-to-Haves:
- Experience with scholarly research workflows
- Familiarity with conversational UI product development