Staff Embedded Client Platform Engineer
Core
Building and evolving AlphaSense's embedded client platform (starting with Excel) to deliver AI-powered market intelligence directly into the daily workflows of financial professionals.
Role type
Staff Embedded Client Platform Engineer
Builds
Excel add-ins, Office plugins, and a unified client architecture for constrained host environments
Domain
Financial technology / Market intelligence / AI-driven search
Deliverable
production ML models | product features
Required skills
JavaScript/TypeScript, event-driven programming, performance profiling and optimization, enterprise deployment and version skew management, testing and observability for client-side systems, architectural ownership, mentoring
Preferred skills
<100ms latency optimization, debugging non-deterministic stateful systems, financial systems background, offline-first architectures, enterprise IT/security collaboration
Technologies
JavaScript, TypeScript, Excel, Office Add-ins
Responsibilities
Own architecture and reliability of Excel integrations; define boundaries between workbook, plugin, and cloud state; ensure zero data corruption and strict file integrity; design for offline, slow networks, and enterprise restrictions; unify fragmented Excel tools into a single coherent client architecture; create reusable abstractions for embedded client development; mentor engineers in constrained client environments
Seniority
Staff, significant architectural ownership and hands-on work
