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About AlphaSense: AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and…
Staff engineer who owns AlphaSense's Excel plugin strategy, building an AI-powered Office add-in that brings market intelligence into the Excel workflows of financial professionals. Day to day: TypeScript/React development against the Office JavaScript API, debugging integrations, and mentoring engineers while setting quality and performance standards.
Security Operations Analyst II triages and investigates alerts from endpoint, network, cloud, and identity sources to detect and respond to threats. Uses MITRE ATT&CK, EDR/SIEM tools, and cloud security monitoring to analyze incidents, document findings, and improve detection quality.
Staff-level full-stack (frontend-heavy) engineer on AlphaSense's Content Experience team: designs and builds scalable frontend microapps and backend services, leads technical architecture, mentors engineers, and integrates LLM/AI features. Core stack: React, TypeScript, GraphQL, Python/Java backends on AWS/GCP with Kubernetes.
Working engineering manager leading AlphaSense's quality engineering team in Helsinki: hiring and growing engineers while staying hands-on with test strategy, coverage metrics, and quality debt. Core focus on test automation, CI/CD, cloud/Kubernetes, and evaluating LLM/GenAI output quality.
Lead the UX vision for AlphaSense’s AI-native agentic product, shaping how financial analysts interact with AI to transform research into actionable insights.
Lead the security and identity platform at an AI-driven market intelligence company, defining authentication, authorization, and data protection for enterprise customers.
Principal Engineer designs and scales CI/CD and GitOps pipelines for hundreds of microservices across global Kubernetes clusters, enabling safe, rapid software delivery for 400+ engineers.
Principal engineer leading the cell-based architecture overhaul of a large-scale, Kubernetes-native platform serving Fortune 500 clients, decomposing hundreds of microservices and embedding AI tooling to scale across regions and private clouds.
Build and operate CI/CD and developer platforms for 400+ engineers, using Go/Python to enable progressive delivery, AI-assisted workflows, and self-service deployments.
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