Seeking a Senior Back End Engineer to lead product development, optimize tech decisions, and foster team collaboration in a fast-paced generative AI startup.

Lead design and delivery of enterprise POCs using LLMs and agentic workflows. Collaborate with Fortune 500 clients to gather requirements, rapidly prototype solutions, optimize performance, and create production-ready architectures while transferring knowledge to stakeholders and cross-functional teams.

As a Senior AI Solutions Consultant, you'll bridge Blitzy's AI platform and enterprise engineering, advising on software development complexities while engaging with senior technical leaders to implement solutions and improve existing workflows.

The Head of Channel, Cloud & PE Partnerships will drive partnerships with cloud providers and private equity firms to enhance Blitzy's growth, ensuring a significant percentage of the enterprise pipeline is partner-sourced.

The AI Solutions Consultant will engage with prospects, educate them about AI solutions, manage sales cycles, and ensure successful customer relationships post-sale.

The Engineering Manager, Client Solutions leads customer integrations and custom software solutions using Blitzy's AI technology while writing production code and collaborating with client teams.

Create engaging technical video content for platforms, collaborate on production, and build connections with developers while showcasing technical knowledge.

The DevOps Engineer will build and maintain infrastructure, optimize CI/CD pipelines, develop Python automation, and monitor application performance. Collaboration with global teams is essential.

The Full Stack Engineer will oversee product development, collaborate with engineering teams, and utilize backend technologies to enhance performance. Responsibilities include coding, decision-making, and leveraging Generative AI tools.

The Developer Support Engineer will diagnose customer issues, implement fixes, and enhance the support engineering function, ensuring efficient resolution for users.

As a Forward Deployed Software Engineer at Blitzy, you will integrate AI solutions into enterprise environments, write production-quality code, and collaborate closely with customer engineering teams to enhance software development processes.

The Senior Backend Engineer will take ownership of backend development, work with the localized team and U.S. Engineering, and enhance product development using Generative AI technologies.

The Technical Product Marketing Manager will create content assets for brand awareness, drive lead generation, and collaborate on product narratives, focusing on enterprise software development lifecycle.

The Forward Deployed Software Engineer will write production code, debug complex issues, and embed with customer teams to implement AI-driven software solutions.

As a Forward Deployed Software Engineer, you will collaborate with customer engineering teams to integrate Blitzy's AI capabilities into their systems, write production code, and design solutions for enterprise software challenges.

Design and deliver UI/UX for an AI-driven code-generation platform: wireframes, high-fidelity Figma designs, interaction specs, edge-case handling, component contributions to the design system, and engineer-ready handoffs while iterating from feedback.

Engage technical buyers at mid-market and enterprise companies to demo Blitzy's AI platform, run discovery and PoCs, close deals, and manage post-sale adoption and expansion while coordinating with engineering and CRO.

Join an in-person, early-career cohort to create technical content, analyze AI-generated enterprise code, engage with customers, and drive GTM impact. Produce demos, walkthroughs, and outreach to generate demand; progress into Forward Deployed Engineer or AI Solutions Consultant tracks based on performance.

The Principal Engineer will take ownership of production-grade systems, improve customer outcomes with high-leverage features, and ensure technical quality across the stack, utilizing deep expertise in backend and AI systems.

The DevOps Engineer will architect and maintain infrastructure for an AI platform, build CI/CD pipelines, and ensure system performance and reliability.