Top Tech Jobs & Startup Jobs in Boston, MA

Source, assess, and hire technical talent across AI/ML, software engineering, infrastructure, mobile, and related disciplines. Build talent maps, evaluate technical profiles, conduct recruiter screens, manage candidates through closing, partner with hiring managers, and maintain accurate recruiting pipeline data in the ATS.

Source, assess, and hire technical talent across AI/ML, software engineering, infrastructure, mobile, and related disciplines. Build talent maps, evaluate candidates’ technical experience, conduct recruiter screens, manage candidates through offers, partner with hiring managers, and maintain accurate recruiting pipelines and ATS data. The role emphasizes proactive sourcing, passive candidate engagement, technical profile evaluation, and managing multiple searches in a fast-paced environment.

Build and own interactive web experiences across Chat, Notes, Calendar, Docs, and Sheets. Develop reusable frontend architecture, real-time collaboration, rich-text editing, scheduling, tables, spreadsheets, and streaming AI integrations. Partner with product, design, backend, and AI engineering teams to deliver reliable, accessible, high-performance experiences across browsers and devices.

Own an AI investing product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Integrate KYC, transaction monitoring, limits, privacy, licensing, regulatory approvals, and financial partners. Apply AI responsibly with evaluation, safeguards, human oversight, and reliable operations while aligning engineering, design, compliance, treasury, finance, and operations.

Owns an AI neobank product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partners with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporates KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Applies AI with evaluation, safeguards, oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI finance product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while aligning compliance, operations, treasury, finance, and design.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed regulatory requirements across KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with appropriate evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI finance product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation frameworks, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.