Engineering Manager, Client Solutions
Listed on 2026-01-12
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IT/Tech
AI Engineer, Systems Engineer, Cloud Computing
We are on a mission to automate software creation to unlock the next industrial revolution.
We have happy paying customers, backing from multiple tier 1 investors, success as founders at the last start-up, and dozens of Generative AI patents to our names.
U.S. GenAI startup, Cambridge Office
Build the bridge between cutting-edge AI and real-world software development
Compensation: $150,000 - $200,000
Location: 1 Kendall Square, Cambridge, MA (Hybrid/Onsite preferred)
Travel: 10-20% domestic travel for customer engagements
Blitzy is a Boston-based Generative AI startup on a mission to automate custom software creation to unlock the next industrial revolution. We're transforming how enterprises build software—turning human ideas into production-ready applications with AI that can autonomously generate up to 80% of enterprise-grade code.
We're backed by tier 1 investors and led by founders with deep expertise in AI and enterprise software. Our platform doesn't just suggest code snippets—it builds complete, production-ready applications that enterprises can deploy immediately.
The RoleWe're looking for an Engineering Manager, Client Solutions who thrives at the intersection of cutting-edge AI technology and real-world enterprise software challenges. You'll embed directly with our customers—from AI-forward startups to Fortune 500 enterprises—helping them revolutionize their software development with Blitzy.
This isn't a typical solutions engineer role. You'll write production code, architect solutions, and work shoulder-to-shoulder with customer engineering teams to deliver transformative outcomes. You're equally comfortable debugging a complex integration, participating in sprint planning, or whiteboarding architecture with a CTO.
What Success Looks Like- You deploy Blitzy into complex enterprise environments, navigating technical constraints while delivering immediate value
- You write custom integrations and extensions that unlock new use cases for customers
- You translate ambitious business goals into concrete technical implementations using Blitzy's AI capabilities
- You identify patterns across customer needs that influence our product roadmap
- You become a trusted technical advisor to engineering leaders, earning their confidence through hands-on expertise
- You drive successful POCs that expand into enterprise-wide deployments
- You contribute code and insights back to our core platform based on field experience
Customer Partnership
- 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
Technical Implementation
- 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
Strategic Impact
- 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
- 4-10 years of software engineering experience with a track record of shipping production code
- 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
- 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
- Pa…
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