Product Manager II – Financial Data

AlphaSense

Product Manager shaping AI-compatible financial data taxonomy for AlphaSense’s market intelligence platform. Defining financial data standards, structures, and scalable datasets for capital markets users.

Posted 8/12/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSenior💰 CA$111,000 - CA$145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in financial data taxonomy, data governance, and product management, with a strong analytical mindset to develop scalable solutions. Proficient in SQL and Python, with hands-on experience in leveraging AI and LLM tools for financial data structures.

Highest-signal resume keywords

Financial Data TaxonomyData GovernanceProduct ManagementSQL ProficiencyPython Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data StructuresFinancial Data GenerationAnalytical MindsetAI ToolsLLM Tools

Soft Skills

Organizational SkillsAttention to DetailCuriosity

Industry Keywords

Financial DataCapital MarketsData StandardsStakeholder CollaborationScalable Solutions

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own and evolve AlphaSense's proprietary financial data taxonomy across sectors, accounting standards, statements, and reporting patterns
Define how financial data generation rules apply across sectors and data types
Serve as the internal subject matter expert on financial data generation and presentation
Develop and maintain official internal and external documentation for data standards
Collaborate with engineering, research, product, sales, and client-facing teams to align stakeholders and translate rules into accurate, relevant datasets
Identify gaps and inconsistencies in newly onboarded companies, metrics, and datasets and coordinate resolutions
Define use cases and requirements for new financial datasets beyond the three core financial statements
Design and maintain AI- and LLM-compatible financial data structures and taxonomy
Build repeatable frameworks and processes for scalable financial data accuracy, relevance, and growth

Requirements

What you’ll need

Bachelor's degree in Engineering, Computer Science, Business, or a related highly analytical discipline
5+ years of experience working with data structures, taxonomy, or data governance
At least 2 years of experience in product management or a closely adjacent cross-functional role
Genuine interest in financial data and capital markets
Understanding of how investors and financial professionals consume, interpret, and act on data
Proven analytical mindset and ability to translate complex, ambiguous data challenges into structured frameworks and scalable solutions
Hands-on experience leveraging AI and LLM tools as an internal practitioner
Curiosity about how financial data consumers integrate AI into their workflows
Strong organizational skills and attention to detail
Ability to manage multiple workstreams and competing priorities independently
Proficiency in SQL and Python
Willingness to expand the data management toolkit as the role evolves

Benefits

Comp & perks

Performance-based bonus may be offered
Equity may be offered
Generous benefits program
Equal employment opportunity
Reasonable accommodation for qualified employees with protected disabilities