Product Manager II, Financial Data - Screening & Search

AlphaSense

2d•$128,000 - $160,000

About The Position

AlphaSense is seeking a Product Manager to own and define how financial data is surfaced through search and agentic capabilities across its platform. The role connects the company’s financial datasets with systems that make data discoverable, screenable, and actionable for end users and AI agents. The Product Manager will understand how financial content is structured, indexed, and ranked, and define experiences that make the data foundation a trusted input for human analysts and AI-driven research. The role partners with engineering, design, business, go-to-market, data platform, and AI/ML teams to develop requirements, author PRDs, and lead new features through launch and post-launch iteration. It includes defining short- and mid-term roadmaps, contributing to the long-term Financial Data vision, improving searchability and screening, and ensuring reliable data delivery and retrieval.

Requirements

At least 5 years of experience building SaaS products in partnership with engineering and scrum teams.
Experience with financial data products.
Clear, persuasive communication skills and the ability to create PRDs, roadmaps, and requirements that align stakeholders and drive execution.
Strong organization and attention to detail, with the ability to manage a complex product backlog and deliver features end-to-end.
Strategic thinking and a discovery mindset, with curiosity about client workflows and pain points, especially those of financial analysts, investment bankers, and corporate development or deal teams.
A track record of owning roadmaps and delivery in SaaS environments.
Bachelor’s degree in Computer Science, Business, or a related field.

Nice To Haves

Familiarity with AI-powered search or workflow technologies.

Responsibilities

Define and execute short- and mid-term roadmaps for surfacing financial data through search, screening, and agentic capabilities, aligned with business objectives and client needs.
Contribute to the long-term Financial Data vision by developing a deep understanding of client personas and how they search, screen, and query financial content directly and through AI agents.
Assess gaps in searchability, screening logic, and content structure, and prioritize improvements to data tagging, indexing, and ranking.
Write and prioritize product requirements informed by customer discovery and client feedback, particularly for search relevance, screening functionality, and agentic retrievability of financial content.
Collaborate with engineering, design, and go-to-market teams to support successful launches and adoption of new features.
Partner with data platform and AI/ML teams to define how financial content is structured and exposed for search infrastructure and agentic tools.
Lead the development lifecycle for search, screening, and agentic capabilities, from ideation and user stories through launch and post-launch iteration.
Identify and conduct QA strategies for search accuracy, screening precision, and reliable agentic retrieval over financial content.
Work with core data platform teams to ensure seamless data delivery, indexing performance, and reliability for search, screening, and agentic use cases.