Top Tech Jobs & Startup Jobs in Boston, MA

The Account Executive will manage expansion and renewal sales within existing accounts, develop growth opportunities, and build executive relationships to drive long-term revenue and customer success.

The Senior Content Strategist will produce high-quality technical content for AI systems, collaborating with engineers and researchers to create actionable workflows. They will define and execute content strategies, identify developer gaps, and use AI tools to enhance content creation while maintaining high standards.

The Events Manager will plan and execute events, build brand experiences, measure event outcomes, and grow the AI community, focusing on AI engineers and developers.

The DevOps Release Manager will design and maintain scalable backend systems, develop tooling for reliable releases, and optimize analytics workload in various environments, focusing on the Arize platform.

As a Technical Product Manager at Arize, you will strategize and develop the product roadmap, engage customers for feedback, collaborate with cross-functional teams, and integrate market insights into product requirements.

The AI Sales Engineer will build relationships with customers, lead product demonstrations, handle objections, and act as a domain expert in ML. Responsibilities include collaborating with sales and technical teams to create value propositions and developing educational materials about ML and MLOps.

As the Partner Product & Solutions Lead, you will manage technical partnerships, drive integration roadmaps, create content, enable partner teams, and generate co-sell revenue while promoting AI observability solutions.

The role involves enhancing user experience on the LLM platform through user research, prototyping, and implementing design solutions while collaborating closely with engineers.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.