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Salary: USD 90,000 - 200,000 / annual
Blitzy is an AI software development platform based in Cambridge, MA that autonomously builds custom software to transform enterprise development. The company is backed by tier-1 investors and is one of the fastest-growing in the US, automating thousands of hours of software development for Fortune 500 customers.
As an AI Solutions Consultant, you will engage, educate, and close prospective customers looking to modernize their software development with AI. You will work directly with engineering leaders, CTOs, and technical teams at mid-market and enterprise companies to drive customer acquisition and revenue growth.
Key responsibilities include:
- Advising enterprise customers on technical architecture and implementation of Blitzy
- Leading technical discussions covering software architecture, CI/CD, cloud infrastructure, APIs, and developer workflows
- Running proofs-of-concept and demonstrating measurable business impact
- Guiding customers through integrating Blitzy into existing development environments
- Partnering with Sales, Product, and Engineering teams throughout the customer lifecycle
- Translating customer feedback into product improvements and roadmap insights
- Building trusted relationships with technical stakeholders and executives
- Driving post-sale adoption and expansion across teams and products
- Serving as the technical conduit between Blitzy's CTO, AI Engineering team, and customer teams
The company culture emphasizes moving fast, operating with a championship mindset, passion for invention, and deep customer focus. This is a highly competitive, sales-driven role for someone who wants to win deals and help drive revenue.
QUALIFICATIONS:
- 3+ years of experience in software engineering, solutions consulting, solutions architecture, or technical leadership
- Strong understanding of enterprise software development and modern engineering practices
- Experience with cloud infrastructure, APIs, DevOps, CI/CD, and microservices
- Ability to communicate technical concepts clearly to both engineers and executives
- Experience working with enterprise customers or complex technical environments
- Strong problem-solving skills and ability to operate in fast-paced environments
- Experience as an Engineering Manager, Technical Lead, or Solutions Architect
- Experience with AI/ML technologies or AI-driven products
- Background working with enterprise SaaS or developer tooling
- Experience helping companies modernize engineering workflows
