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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 companies in the U.S., working with Fortune 500 customers to automate thousands of hours of software development work.
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. This is a highly competitive, sales-driven role for someone who wants to win deals, build relationships, and help drive revenue.
Key responsibilities include:
- Advise enterprise customers on technical architecture and implementation of Blitzy
- Lead technical discussions covering software architecture, CI/CD, cloud infrastructure, APIs, and developer workflows
- Run proofs-of-concept and demonstrate measurable business impact
- Guide customers through integrating Blitzy into their existing development environments
- Partner closely with Sales, Product, and Engineering teams throughout the customer lifecycle
- Translate customer feedback into product improvements and roadmap insights
- Build trusted relationships with technical stakeholders and executives
- Drive post-sale adoption and expansion across teams and products
- Serve 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 a customer-first focus.
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
