You will architect and optimize distributed systems capable of handling billions of documents and high query volumes. Additionally, you will lead the migration of legacy systems to modern architectures while establishing robust engineering practices for monitoring and performance.
The Staff Software Engineer will define technical direction, design scalable backend systems, and lead cross-team initiatives to turn raw content into structured intelligence. They will also mentor engineers, drive architectural standards, and integrate AI/ML capabilities into production workflows.
The Product Manager will oversee the Transactions content pipeline, including business requirements, sourcing, and data integrity processes. They will also collaborate with engineering to conduct POCs and manage performance reviews to ensure successful content delivery.
The role involves reviewing, editing, and proofreading transcripts for accuracy, clarity, and adherence to company standards. Editors must ensure transcripts are contextually accurate, correctly formatted, and delivered within tight turnaround times.
Design and build high-quality, performant, and scalable software systems across both backend and frontend architectures. Lead technical design discussions, mentor engineering staff, and drive the adoption of AI-assisted development workflows.
The Data Steward will establish and maintain data quality standards, governance practices, and metadata definitions across diverse content domains. They will also monitor dataset health, perform root cause analysis on quality issues, and collaborate with cross-functional teams to drive scalable improvements.
You will define and execute comprehensive test strategies across UI, API, and service layers while evolving automation frameworks. Additionally, you will partner with developers and product managers to implement shift-left practices and ensure quality-by-design.
Lead the development of test automation frameworks across UI, API, and GraphQL layers while integrating AI evaluation frameworks for LLM-powered features. Drive a culture of quality ownership by partnering with engineering teams to implement shift-left testing and optimize CI/CD pipelines.
The role focuses on detecting, investigating, and containing risks across AI tools, agents, and models to prevent shadow AI and data exfiltration. It involves monitoring telemetry, tuning detection rules, and providing evidence for ISO 42001 certification.
Design and implement a quantitative-leaning security risk management framework covering information security, AI, and operational risk. Manage the enterprise risk register and leverage AI tools to monitor threats and produce executive-level risk intelligence.
As a Content Analyst, you will generate and expand the AlphaSense financial content offering, working with various teams to identify and onboard new content. You will also monitor content quality and support an AI-powered event classification pipeline.
