Top Tech Jobs & Startup Jobs in Boston, MA

Design and operate secure authentication and identity services, manage integrations with identity providers, and ensure high availability and system observability.

Lead complex employee relations investigations and high-risk performance cases end-to-end; advise managers and Sr. HRBPs on disciplinary and performance processes; ensure legal compliance, rigorous documentation, and consistent global policy application; analyze ER trends and build enablement tools and playbooks.

As a Software Engineer, you will design and build backend services for Relativity's generative AI platform, focusing on scalability and reliability in distributed systems.

Lead partner communications, community programming, and recognition to engage and retain commercial partners. Manage partner portal content, channel webinars, partner briefings, regional events, advocacy and awards, competency validation, and feedback-driven program improvements to increase adoption and partner-driven business outcomes.

Design, develop, and maintain partner-facing enablement content, learning journeys, and GTM assets. Manage Partner Portal and asset library, run onboarding and launch programs, ensure content governance, and iterate using partner feedback and engagement data.

Owner of inbound demand generation and marketing-led outbound for two legaltech products. Build and run demand strategy, manage paid search/social, own Webflow and HubSpot, drive SEO/AEO content, run email/lifecycle programs, maintain attribution connecting BigQuery/Looker/GA4 to revenue, and build AI-driven marketing automations. Advise leadership and oversee contractors to hit trials, demos, and pipeline goals.

Manage and coach a Technical Account Management team to ensure high-quality, proactive support for Relativity customers. Oversee capacity planning, KPI performance, ticket and tenant health monitoring, on-call rotations, and cross-functional coordination with Product and Engineering. Drive service reviews, troubleshoot complex technical issues (SQL, Azure, VMs, storage, networking), and develop employees' technical and product skills while maintaining customer relationships and operational excellence.

Design, build, and operate AI-driven, cloud-native distributed systems for high-volume document ingestion and search. Build Elasticsearch ingestion pipelines, message-based consumer services, containerized solutions on Azure/AWS using Docker and Kubernetes, improve reliability and observability, and contribute via code reviews, automated testing, and cross-team collaboration.