Product Manager I - Broker Research

India

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Biotechnology, Market ResearchIndustries

Requirements

Candidates must have 3-5 years of experience in financial services with a specific focus on broker research, possessing strong knowledge of broker data, content, and metadata. A proven track record of delivering content using iterative/agile development methodologies from initial engagement to release is required. Demonstrated ability to leverage AI and/or LLMs for business process and user experience improvements, superior prioritization and deadline management skills, and experience with distributed teams are essential. Existing relationships with broker research departments and third-party distribution vendors, strong analytical skills, attention to detail, B2B SaaS/enterprise software experience, and proficiency with Microsoft Office and Google Workspace are also necessary.

Responsibilities

The Product Manager I will be responsible for the end-to-end integration of third-party content and data feeds, working with external and internal stakeholders to define detailed requirements for broker data and content. They will collect product and workflow enhancement requests from brokers and internal stakeholders, and apply agile development methodology to iteratively define scope and deliver features with engineers and stakeholders. This role also involves continuous analysis of processes and tools with the broker research team to identify improvement opportunities.

Skills

Product Management

Investment Research

Broker Research

Market Intelligence

Content Strategy

Data Analysis

AlphaSense

AI-driven financial research platform

About AlphaSense

AlphaSense provides a financial research platform that uses artificial intelligence to help clients gain insights into various companies, industries, and market trends. Users can search through a vast library of over 300 million documents, which includes both external and proprietary content. The AI technology streamlines the research process by automating repetitive tasks, allowing clients to concentrate on analyzing the information instead. Additionally, AlphaSense monitors real-time data to highlight important insights, helping clients stay ahead in a rapidly changing market. Unlike its competitors, AlphaSense is particularly focused on data security, implementing advanced measures like the zero trust security model and secure data encryption. The goal of AlphaSense is to empower clients in making informed decisions, whether they are launching new products or providing strategic insights to executives.

New York City, New YorkHeadquarters

2011Year Founded

$1,248.2MTotal Funding

LATE_VCCompany Stage

Cybersecurity, AI & Machine Learning, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Company Equity

Performance Bonus

Remote Work Options

Risks

Rapid AI adoption may homogenize creative outputs, reducing unique value of insights.

Tegus acquisition poses integration challenges, potentially disrupting service delivery.

Reliance on AI exposes AlphaSense to risks of biases and inaccuracies affecting client trust.

Differentiation

AlphaSense leverages AI to provide real-time insights, enhancing decision-making speed and accuracy.

The platform's Generative Search tool offers advanced search capabilities mimicking human analysts.

AlphaSense's acquisition of Tegus expands its content library, offering unmatched insights.

Upsides

Generative AI integration enhances AlphaSense's speed and reliability of financial insights.

The Tegus acquisition significantly expands AlphaSense's content library for comprehensive insights.

AI-driven tools are essential for financial institutions, aligning with AlphaSense's offerings.

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