Staff Embedded Client Platform Engineer at AlphaSense

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

242000.0

Posted On

24 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

JavaScript, TypeScript, Event-Driven Programming, Performance Profiling, Optimization, Data Corruption, Reliability, Enterprise Deployment, Testing, Observability, Mentoring, Financial Systems, Trading Tools, Analyst Workflows, Offline-First Architectures, Sync

Industry

Software Development

Description

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Team: Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search. At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves. About the Role: Own and evolve AlphaSense’s embedded client platform, starting with Excel, to bring AI‑powered market intelligence directly into the daily workflows of financial professionals. This role is responsible for building mission‑critical integrations inside constrained host environments where performance, correctness, and user trust are non‑negotiable. Excel and PowerPoint are the first and most important host environments today, but the mandate is broader: define durable client‑side integration patterns that can scale across tools, workflows, and future analyst surfaces. This is a Staff-level role with significant architectural ownership, deep hands‑on work, and long‑term leverage across the product. Why this role is important: Financial professionals live in Excel. One data corruption bug, one performance regression, or one broken enterprise deployment can permanently erode trust. At the same time, Excel is a highly constrained, non‑owned runtime with sharp edges, undocumented behavior, and strict performance ceilings. We are looking for an engineer who thrives in hostile integration environments, not someone who treats Excel as “just another web view.” Who You Are: 7+ years building and operating production user‑facing software Proven experience embedding software into a non‑owned host environment, such as: Strong JavaScript/TypeScript skills and event‑driven programming experience Track record of performance profiling and optimization in constrained runtimes Zero‑tolerance mindset for data corruption and reliability issues Experience with enterprise deployment, updates, version skew, and rollback Strong testing and observability instincts for client‑side systems Ability to mentor engineers and set technical standards Nice to have: Built systems where

Responsibilities

Own and evolve AlphaSense’s embedded client platform, starting with Excel, to integrate AI-powered market intelligence into financial professionals' workflows. Ensure reliability and performance in constrained environments while establishing best practices for testing and observability.