About this role
Role Overview
The Staff Software Engineer position at AlphaSense is a remote, United States-based role focused on leading the design, evolution, and reliability of a global financial data extraction and normalization platform. This opportunity suits an experienced technical leader with a strong background in distributed systems who wants to shape the future of AI-driven market intelligence.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
AlphaSense provides market intelligence and search technology built on proven AI to help more than 6,000 enterprise customers, including a majority of the S&P 500, make confident decisions. The platform aggregates public and private content sets, including research, company filings, event transcripts, and news. Founded in 2011 and headquartered in New York City, AlphaSense operates globally with over 2,000 employees and maintains a diverse product and engineering team that values collaboration, innovation, and continuous improvement.
How to Apply
Interested candidates should visit the official AlphaSense careers page to submit an application for this remote position.
Skills and tech stack
Questions candidates ask
What is the salary range for the Staff Software Engineer position?
The base compensation range is between $176,000 and $242,000 USD, with final offers determined by candidate experience and expertise. Additional equity and benefits may also be provided.
Is this position remote?
Yes, this role is listed as Remote within the United States.
How many years of experience are required for this role?
Candidates must have 10+ years of experience building and operating large-scale production systems.
What will be the primary focus of the work?
The primary focus is leading the design, reliability, and evolution of the global financial data extraction and normalization platform, systematically reducing human dependency while increasing system correctness using AI and deterministic methods.
What core technical expertise is expected?
Applicants need deep expertise in distributed systems, data platforms and pipelines, AI/ML-powered extraction or classification systems, or platform and infrastructure engineering.
