Top Tech Jobs & Startup Jobs in Boston, MA

Design, implement, test, and deploy full-stack features across a large cloud-native platform. Collaborate with product, design, and TechOps, produce documentation, propose improvements, and maintain high code quality and testing practices.

The Presales Engineer consults with customers for digital transformation, collaborates with sales, delivers technical demos, and supports pre-sales activities.

Consult with customers on digital transformation, support sales efforts, conduct technical demonstrations, and manage pre-sales activities for Tulip's solutions.

Partner with business teams to identify high-leverage AI opportunities; design, build, and ship agentic AI solutions and internal AI platform components. Deliver production LLM-based agents, integrations, and CI/CD pipelines while driving AI enablement, safety, and adoption across the company.

The AI Engineer will develop production-grade AI tools, bridge business needs with technical solutions, and mentor other engineers while ensuring scalability and security in AI integration.

Manage full sales cycle and build pipeline in the aerospace and defense industry, leading complex deals, and collaborating with various teams.

The Customer Success Manager will oversee customer accounts, drive the use of Tulip's platform for operational improvement, manage renewals, and collaborate with internal teams to enhance customer relations and processes.

Lead customer-facing manufacturing solution architecture and implementations using Tulip. Partner with customers to configure, integrate, and deploy OT/IT systems (MES/ERP/device integration), manage enterprise projects, drive continuous improvement, provide technical support, and relay customer insights to Product and Engineering.

Lead and grow a senior SaaS engineering team; hire, mentor, and set engineering standards. Drive cross-functional delivery with product and design, ensure testing, observability, and multicloud deployments, and architect systems that integrate generative/agentic AI while cultivating an AI-first culture.

Build and maintain robust, well-tested backend libraries and developer-facing platform tooling. Partner with engineers and product to identify productivity bottlenecks, design abstractions, create documentation, and use AI-assisted tools and automation to improve developer experience, reliability, and deployment workflows.