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Senior Product Manager, Financial Data

AlphaSense · New York, NY, USA ·

Pay:
$129,000-$165,000/yr
Job type:
Full Time

Overview
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision‑making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals and clients’ own research content. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada and Ireland.

Reports to
Reports to:

Director of Product, FinData

About the Team
The Financial Data content organization is responsible for curating best‑in‑class structured data, both self‑sourced and from third‑party content providers. Historically focused on building a platform of 4,000+ fundamental financial models, the team will now integrate the acquired Tegus data, expanding our platform to offer unmatched accuracy, context and flexibility for investment decisions.

About the Role
We are seeking a Senior Product Manager to oversee the integration of new structured data into the AlphaSense platform. Candidates should have extensive experience managing complex data projects that span multiple teams paired with a working knowledge of user workflows related to financial data (such as investor research, quantitative analysis, M&A, etc.).

Who You Are

7+ years of product management experience in the fintech, investment research or financial services industry

Proven track record of managing complex products with many moving parts. You excel at making difficult trade‑off decisions and sequencing development to deliver value under tight deadlines.

Strong communication skills and highly team‑oriented

Meticulous attention to detail

Experience with Notion and Linear

Data fluent: Comfortable using SQL, LLMs, or a combination of both to query complex datasets, audit for quality and translate technical findings into user value is considered an asset

Bachelor’s degree in finance, accounting or business, MBA or a CFA designation

What You’ll Do

Manage the entire

zero-to-one

product lifecycle from initial data analysis through launch, understanding how to structure the data to support multiple workflows, define requirements, support development, testing and manage ongoing feedback in incremental enhancements.

Act as the primary bridge between complex user workflows and technical execution, translating sophisticated analytical needs into robust data architectures while partnering with platform peers (Web, Excel and AI) to ensure seamless data delivery.

Work alongside internal domain experts with deep capital markets and investment research experience to understand user pain points, validate product hypotheses, prompt innovation and inform prioritization.

Articulate core client problems and collaborate with engineers to validate potential solutions based on robust customer feedback, strategic objectives, market analysis and technical feasibility.

Manage the entire product lifecycle from initial data analysis through launch, understanding how to structure the data to support multiple workflows, define requirements, support development, testing and manage ongoing feedback in incremental enhancements.

Vigilant in remaining well informed of industry trends to deliver competitive intelligence to better evolve product and content vision. Analyze other relevant competing content sets in the market and interact with customers to understand their workflows and pain points and gather and document actionable feedback.

Demonstrate strong and persuasive communication skills, ensuring complex ideas are understood by cross‑departmental partners, gaining alignment and buy‑in to drive valuable impact.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

Base Compensation Range: $129,000 - $165,000 USD

Equal Opportunity Employer
AlphaSense is an equal‑opportunity employer. We are committed to a work environment that supports, inspires and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity or expression, military or veteran status, disability or any other non‑merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

AlphaSense never asks candidates to pay for job applications, equipment or training.

All official communications will come from an @alpha‑sense.com email address.

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