Top Tech Jobs & Startup Jobs

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.

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.

Hunter-style Enterprise Account Executive responsible for driving net-new enterprise revenue: own complex sales cycles, prospect outbound and inbound leads, engage CIO/CTO-level buyers, partner with AI Solutions Consultants for technical validation, and exceed pipeline and revenue targets in a high-performance, on-site Cambridge environment.

Build, extend, and scale automated testing frameworks and CI/CD validation to verify runtime behavior and performance of AI-generated applications across multi-language, distributed production environments. Implement end-to-end and integration tests, runtime monitoring, quality metrics, and automated detection of runtime issues while collaborating with AI engineers to improve platform reliability.

Build and lead the founding BDR team: hire, onboard, certify, and coach reps; own ramp curriculum, metrics funnel, CRM hygiene, pipeline quality, handoffs to AEs, and enablement processes to produce high-converting pipeline.