Jobs at AlphaSense

Manage the end-to-end sales process for existing financial services clients, focusing on upselling hedge funds, asset managers, investment banks, and sell-side research teams. Responsibilities include prospecting, pipeline development, product demonstrations, trials, relationship management, forecasting, closing sales, and meeting targets. The role partners with marketing and product teams, gathers client feedback, and requires regular client travel.

Drive new-client acquisition across the Financial Services market, targeting hedge funds, asset managers, investment banks, and sell-side research departments. Own the full sales cycle from prospect research and cold outreach through demonstrations, trials, forecasting, and closing. Build pipeline, exceed revenue targets, partner with marketing and product specialists, support user adoption, and communicate market feedback to internal teams.

Lead development and evolution of AlphaSense's financial data taxonomy and generation rules. Serve as subject-matter expert, align cross-functional teams, define requirements for new datasets, ensure AI/LLM compatibility, maintain documentation, and build scalable frameworks to expand and maintain high-quality structured financial data for capital markets users.

Support the Financial Data product by translating roadmap goals into engineering requirements, creating mockups and business logic, querying PostgreSQL/Snowflake/Athena for data insights, performing data validation and QA, documenting product features, coordinating cross-team prioritization, and contributing to release communications.

Serve as first-line customer and product support: troubleshoot and resolve inquiries via email/chat/calls, escalate and liaise with Product, Engineering and SRE, drive documentation and training, and champion product improvements and feature feedback to maximize user engagement.

Update, build, and improve three-statement financial models for public companies; develop sector expertise and modeling standards; document best practices; support analysts, client service, training, and ad-hoc company research.

The Staff Software Engineer will lead the design and reliability of a large-scale financial data extraction platform, focusing on reducing human dependency using AI while ensuring system quality and scalability.

Lead the design and reliability of a financial data extraction platform using AI and deterministic systems to improve accuracy and reduce human dependency.

Design, build, and operate identity, authentication, and authorization platforms (user management, authN, authZ) at scale. Partner with security to ensure SOC2/GDPR-compliant, secure-by-design systems. Deliver APIs and self-service tooling (GraphQL/gRPC/REST), improve observability, testing, and reliability, and drive roadmap and execution across time zones.