Product Manager, Financial Data – Screening & Search

AlphaSense

. Define and execute short- and mid-term roadmaps for surfacing financial data through search, screening, and agentic capabilities .

Posted 10/16/2026full-timeRemote • United StatesJuniorMid-Level💰 $128,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing product roadmaps for financial data solutions, with a strong focus on collaboration with engineering and AI/ML teams. Proven ability to create PRDs and manage complex product backlogs to enhance searchability and user experience.

Highest-signal resume keywords

SaaS Product DevelopmentFinancial Data ProductsProduct Roadmap CreationAI-Powered Search TechnologiesStakeholder Alignment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Requirements Document (PRD) CreationSearchability AssessmentIndexing Performance ManagementQA Strategies for Search AccuracyAgile/Scrum Methodologies

Soft Skills

CollaborationStrategic UnderstandingClient Persona AnalysisExecution Management

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Business

Industry Keywords

Financial AnalystsInvestment BankersCorporate DevelopmentDeal TeamsSearch Infrastructure

About the role

Key responsibilities & impact

Define and execute short- and mid-term roadmaps for surfacing financial data through search, screening, and agentic capabilities
Build 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; prioritize tagging, indexing, and ranking improvements
Write and prioritize PRDs based on customer discovery and client feedback
Collaborate with engineering, design, and GTM teams on product launches and adoption
Partner with data platform and AI/ML teams to structure and expose financial content for search infrastructure and agentic tools
Lead the development lifecycle from ideation and user stories through launch and post-launch iteration
Identify and conduct QA strategies for search accuracy, screening precision, and agentic retrieval reliability
Work with core data platform teams to ensure data delivery, indexing performance, and reliability

Requirements

What you’ll need

Minimum 2 years of experience building SaaS products in partnership with engineering and scrum teams
Experience in financial data products
Ability to create PRDs, roadmaps, and requirements that align stakeholders and drive execution
Ability to manage a complex product backlog and deliver features end-to-end
Strategic understanding of client workflows and pain points, especially those of financial analysts, investment bankers, and corporate development/deal teams
Track record of owning roadmap and delivery in SaaS environments
Familiarity with AI-powered search or workflow technologies is a plus
Bachelor's degree in Computer Science, Business, or a related field required

Benefits

Comp & perks

Performance-based bonus
Equity
Generous benefits program