Blitzy · 2 months ago
Engineering Manager, Client Solutions
Blitzy is a Boston-based Generative AI startup focused on automating custom software creation to drive the next industrial revolution. The Engineering Manager, Client Solutions will work closely with customers to integrate Blitzy's AI technology into their software development processes, ensuring successful implementations and driving customer success through hands-on technical leadership.
Artificial Intelligence (AI)Software
Responsibilities
Embed with customer teams during critical implementations, serving as their technical co-pilot
Participate in customer sprint planning, architecture reviews, and technical decision-making
Build custom solutions that demonstrate Blitzy's capabilities in their specific environment
Write production-quality code to integrate Blitzy with existing enterprise systems
Develop reusable patterns, scripts, and tools that accelerate customer adoption
Debug complex issues spanning customer infrastructure and our platform
Create technical demos that showcase advanced use cases
Decompose executive vision into actionable engineering roadmaps
Identify expansion opportunities within accounts based on technical insights
Collaborate with our product team to prioritize features based on field experience
Contribute to our technical documentation and best practices
Qualification
Required
4-10 years of software engineering experience with a track record of shipping production code
Fluency in multiple programming languages (Python, JavaScript/TypeScript, Java, Go, or C#)
Deep understanding of modern software development practices (CI/CD, microservices, cloud architecture)
Experience with enterprise development workflows, including Agile/Scrum methodologies
Hands-on experience with Jira and enterprise software development lifecycle
Proven ability to navigate complex technical environments and stakeholder relationships
Strong communication skills—you can explain technical concepts to anyone from intern to CTO
Preferred
Experience at high-growth startups or in customer-facing engineering roles
Background in AI/ML, developer tools, or enterprise modernization projects
Track record of technical thought leadership (blogs, talks, open source contributions)
Experience with legacy system modernization or large-scale migrations
Passion for the future of AI-powered software development
Benefits
Comprehensive health, dental, and vision insurance
401(k) with company match
Generous PTO and parental leave
Top-tier equipment and home office stipend
Learning & development budget