Top Tech Jobs & Startup Jobs in Boston, MA

Build and maintain scalable Kubernetes clusters, automate infrastructure with Terraform and Python, implement CI/CD and Helm deployments, own observability and AI agent orchestration, and improve developer experience and cloud reliability for enterprise-scale AI workloads.

Drive net-new enterprise revenue by owning full sales cycles from discovery to close. Prospect outbound and qualify inbound demand, manage complex multi-stakeholder deals with CIO/CTO-level buyers, partner with solution consultants for technical validation, and consistently exceed pipeline and revenue targets using formal qualification frameworks and ROI-driven narratives.

Lead hands-on ownership of mission-critical production systems across frontend, backend, infra, and LLM tooling. Ship high-impact features, ensure scalability, reliability, and operational excellence, design and operate LLM validation loops, and raise engineering quality through durable technical decisions without people management responsibilities.

Embed with enterprise engineering teams to deliver production-quality integrations of an AI software platform. Build custom integrations, debug complex environments, develop reusable patterns, run POCs, and translate executive goals into technical roadmaps. Act as a trusted technical advisor, influence product roadmap with field insights, and contribute code and documentation back to the core platform.

Embed with customer engineering teams to architect and deliver production-quality integrations, write code, debug complex issues, create demos, develop reusable patterns, influence product direction, and drive enterprise adoption of Blitzy's AI software development platform.

Hunt and close net-new enterprise deals for an AI software development platform. Own full sales cycle, prospect outbound and manage inbound, engage CIO/CTO-level buyers, run MEDDICC/BANT-led qualification, partner with AI Solutions Consultants for technical validation, build ROI narratives, and exceed revenue targets.

Serve as the technical lead in pre-sales and post-sales for enterprise customers: run technical demos and PoCs, advise on architecture, CI/CD, cloud, APIs and integrations, partner with Sales/Product/Engineering, drive adoption and expansion, and translate customer feedback into product improvements.

Provide technical frontline support for Enterprise and Pro users: investigate and reproduce issues, analyze logs/traces, debug code (Python/TypeScript), submit engineering tickets or ship fixes, own escalations, produce documentation and knowledge base, and collaborate with Engineering and Product to improve reliability and agent behavior.

Lead and scale engineering teams responsible for backend platform, infrastructure, and AI product systems. Own execution, roadmap planning, incident response, hiring, and cross-functional communication while remaining hands-on with code and technical design to improve reliability and delivery velocity.

Lead design, build, and operation of scalable, fault-tolerant cloud infrastructure. Define SLOs/SLAs, improve observability and incident response, own CI/CD and deployment automation, partner with engineering teams on reliability, capacity planning, performance benchmarking, cost optimization, and security for an AI platform.