Top Tech Jobs & Startup Jobs in Boston, MA

The Strategic Account Executive will manage sales strategies, build customer relationships, lead account planning, and drive business outcomes in enterprise software sales, specifically targeting Fortune 500 accounts.

Lead AI agentic deployments and design tailored solutions using Elastic technologies. Oversee technical delivery, mentor junior engineers, and ensure successful client partnerships in AI implementations.

The Principal Software Engineer II will lead and contribute to Elasticsearch's Storage Engine team, focusing on efficient data querying, indexing, and developing Timeseries solutions. This role requires strong technical leadership, collaboration across teams, and expertise in Java and Elasticsearch.

Support sales strategy, planning, reporting, and analysis for US Public Sector sales. Collaborate cross-functionally to align targets and recommendations with growth objectives. Manage KPIs, budget forecasts, and drive pipeline initiatives while addressing sales concerns and resource planning.

The Principal Software Engineer II will build and maintain machine learning components in Elasticsearch, collaborating with teams, writing scalable code, and owning projects from design to implementation.

The role involves improving Elasticsearch's distributed components, maintaining cluster coordination systems, and addressing complex issues to optimize performance and scalability.

Seeking a Senior Software Engineer to enhance Elasticsearch's analytical capabilities, focusing on feature design, implementation, and collaboration in a remote environment.

The role involves designing and developing sales enablement courses using instructional design methodologies, creating rich media content, and managing content on the Seismic platform. Responsibilities include analyzing performance data and iterating programs based on feedback.

As a Mid Market Account Executive, you will drive the adoption of Elastic's AI-powered solutions, deepen engagement with existing customers, and identify new business opportunities while collaborating with various business functions to enhance customer experience.

Design and build autonomous, enterprise-grounded AI agents and workflows using the Elastic Stack, RAG, and LLMs. Integrate models with internal APIs and SaaS, manage deployment and scaling on cloud/Kubernetes, ensure security/compliance, document systems, and provide technical leadership for agent lifecycle and performance optimization.