Blitzy · 4 months ago
Senior AI Solutions Consultant
Blitzy is a Cambridge-based Series-A Generative AI start-up focused on automating custom software creation. They are seeking a Senior AI Solutions Consultant to act as a technical bridge between their AI platform and enterprise engineering teams, helping to implement solutions that transform software development processes.
Artificial Intelligence (AI)Software
Responsibilities
Serve as the trusted technical advisor to enterprise engineering teams evaluating and implementing Blitzy
Navigate complex enterprise architectures, understanding legacy systems, security requirements, and integration challenges
Translate enterprise SDLC pain points into Blitzy solutions that deliver measurable ROI
Lead technical deep-dives with engineering teams, addressing concerns about AI-generated code quality, security, and integration
Partner with VPs of Engineering and CTOs to understand their technical roadmaps and strategic initiatives
Design proof-of-concepts that demonstrate Blitzy's value within their specific technical environment
Guide enterprises through the journey from traditional development to AI-augmented software creation
Build trusted relationships by demonstrating deep understanding of their technical challenges and constraints
Architect Blitzy implementations that align with enterprise development workflows, tools, and processes
Collaborate with customer engineering teams to ensure successful integration with their existing tech stack
Define success metrics and work with customers to achieve targeted outcomes (velocity improvements, cost reduction, quality metrics)
Oversee technical aspects of enterprise pilots, ensuring smooth deployment and adoption
Partner with our Product and Engineering teams to influence roadmap based on enterprise customer needs
Work with our CRO and sales team to navigate complex enterprise sales cycles
Serve as the technical voice of the customer internally, ensuring our platform evolves to meet enterprise requirements
Contribute to technical documentation, best practices, and implementation playbooks
Qualification
Required
5-8 years of experience in software engineering, solutions architecture, or technical leadership roles
Deep understanding of enterprise software development lifecycles, from requirements gathering through deployment
Hands-on experience with modern development practices: Agile/Scrum, DevOps, CI/CD, microservices
Fluent in the language of enterprise technology: cloud platforms (AWS/GCP/Azure), containerization, API design, security protocols
Experience navigating complex technical environments with multiple stakeholders and competing priorities
Background working within or selling to enterprise organizations (Fortune 1000, Series C+ startups)
Understanding of enterprise buying processes, compliance requirements, and decision-making dynamics
Experience with enterprise development challenges: technical debt, legacy system integration, scaling issues
Ability to communicate effectively with both individual contributors and C-level executives
Track record of leading technical initiatives or teams (formal management experience is a plus but not required)
Exceptional ability to explain complex technical concepts to diverse audiences
Experience presenting to senior leadership and facilitating technical workshops
Natural problem-solver who can think strategically while diving deep into technical details
Excited about the career transition from pure technical roles to customer-facing technical leadership
Intellectually curious about AI's impact on software development
Comfortable with ambiguity and able to thrive in a fast-paced startup environment
Driven by customer success and the opportunity to transform how enterprises build software
Preferred
Experience as an Engineering Manager, Technical Lead, or Solutions Architect at a SaaS company
Background in digital transformation or helping enterprises modernize their tech stack
Experience with AI/ML technologies or implementing AI solutions in enterprise environments
Track record of driving technical decisions that resulted in measurable business impact
Contributions to open-source projects or technical thought leadership (blogs, talks, publications)
MBA or advanced technical degree combined with real-world experience
Previous experience at companies like Microsoft, Google, AWS, Salesforce, or enterprise consultancies
Benefits
Comprehensive health benefits
401(k)
Flexible PTO
Meals
Top-tier equipment