Senior Product Manager - Financial Data & AI Search

OpenKrill

United States

Remote

USD 78,000 - 98,000

Full time

6 days ago
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Job summary

AlphaSense, a leader in AI-powered market intelligence, is hiring a Product Manager to own how financial data is surfaced through search, screening, and agentic capabilities. You will work with engineering and design to define requirements, roadmaps, and end-to-end delivery that enable analysts and AI agents to access structured datasets.

You’ll partner with data platforms and AI teams to ensure data is indexed, tagged, and retrieved effectively, while aligning with business objectives and

Qualifications

  • 5+ years of experience building SaaS products with engineering and scrum teams.
  • Experience in financial data products is a plus.
  • Clear, persuasive communicator who creates PRDs, roadmaps, and requirements.

Responsibilities

  • Define and execute short- and mid-term roadmaps for surfacing financial data through search, screening, and agentic capabilities.
  • Develop requirements and PRDs based on customer discovery and feedback, focusing on search relevance and retrievability.
  • Collaborate with engineering, design, and GTM teams to launch and drive adoption of new features.
  • Partner with data platform and AI/ML teams to structure and expose financial content for search and agentic use cases.
  • Lead the development lifecycle from ideation to launch and post-launch iteration.

Skills

Product management
SaaS
Roadmaps
Stakeholder communication
Backlog management
Discovery mindset

Education

Bachelor's degree in Computer Science, Business, or related field

Job description

AlphaSense, a leader in AI-powered market intelligence, is hiring a Product Manager to own how financial data is surfaced through search, screening, and agentic capabilities. You will work with engineering and design to define requirements, roadmaps, and end-to-end delivery that enable analysts and AI agents to access structured datasets.

You’ll partner with data platforms and AI teams to ensure data is indexed, tagged, and retrieved effectively, while aligning with business objectives and

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