Top Tech Jobs & Startup Jobs in Boston, MA

The role requires supporting integrated marketing programs, collaborating with sales teams, managing regional marketing strategies, and leveraging AI for performance optimization.

The Regional Marketing Manager will drive integrated marketing programs across the Americas, focusing on pipeline generation and customer expansion. Responsibilities include collaborating with Sales, executing events, and leveraging AI tools for improved marketing effectiveness.

The Observability Architect serves as a technical point of contact, guiding customer success through observability solution design and implementation, ensuring high adoption and satisfaction.

Engage with customers to drive technical solutions, deliver presentations, and enhance product offerings while collaborating with Sales and Product Management teams. Requires strong technical pre-sales experience and communication skills.

The Enterprise Account Executive will prospect and grow business, manage forecasts, and track customer data to achieve sales goals. A consultative sales approach is essential, along with strong relationship-building skills during the trial phase and handoff to Customer Success.

As a Sales Development Representative, you will engage with users, support the sales team in identifying business opportunities, and develop skills in a fast-paced, remote environment.

This role involves leading negotiations of high-value commercial agreements, partnering with sales and cross-functional teams, and supporting legal operations and compliance initiatives. The ideal candidate will have significant experience in technology-related commercial law, especially in the SaaS sector.

The Demand Generation Specialist will own AI-driven lifecycle and nurture programs, executing multi-channel campaigns, conducting data analysis, and partnering cross-functionally to improve user engagement and conversion.

The Staff AI Engineer will design AI-powered systems for People Technology at Grafana Labs, improving workflows and data insights across teams while ensuring responsible AI practices and data governance.

Drive technical strategy and architecture, lead cross-functional projects, ensure system reliability and performance, mentor engineers, improve operational practices, and communicate effectively across teams.