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Conduct inbound and outbound business development for an AI software development platform. Partner with Account Executives to identify enterprise opportunities, perform technical discovery with engineering teams and executives, create personalized multichannel campaigns, and generate qualified meetings, opportunities, and revenue. The role requires communicating software engineering concepts, understanding technical challenges, and connecting product capabilities to business outcomes while meeting pipeline goals.

Advise enterprise customers on adopting Blitzy’s AI software development platform. Lead technical discussions, product demonstrations, and proofs of concept involving software architecture, cloud infrastructure, APIs, DevOps, CI/CD, and developer workflows. Support customer integrations, post-sale adoption, and expansion while building executive and technical relationships. Partner with Sales, Product, Engineering, and AI teams to translate customer feedback into product improvements and optimize the sales pipeline.

The Senior Solution Consultant advises enterprise customers on adopting Blitzy’s AI software development platform. Responsibilities include leading technical discussions, delivering demos, running proofs of concept, supporting integrations with cloud and development environments, driving post-sale adoption and expansion, and translating customer feedback into product insights. The role partners with Sales, Product, Engineering, and the CTO while managing technical customer relationships and pipeline performance.

Serve as a technical advisor to enterprise customers evaluating an AI software development platform. Lead demos, technical discussions, proofs of concept, integrations, and post-sale adoption. Partner with Sales, Product, Engineering, and the CTO to translate customer feedback into product improvements, drive expansion, and support revenue growth. Engage engineering leaders, CTOs, CIOs, and technical teams across cloud infrastructure, APIs, DevOps, CI/CD, microservices, and modern software development workflows.

Advise enterprise customers on adopting Blitzy’s AI software development platform. Lead technical discussions, product demonstrations, proofs of concept, and integrations involving software architecture, cloud infrastructure, APIs, DevOps, CI/CD, and microservices. Build executive and technical relationships, support post-sale adoption and expansion, translate customer feedback into product improvements, and collaborate with Sales, Product, Engineering, and AI teams to drive revenue.

Engage enterprise engineering leaders and executives to evaluate and adopt Blitzy’s AI software development platform. Lead technical discussions, demonstrations, and proofs of concept covering architecture, CI/CD, cloud infrastructure, APIs, and developer workflows. Support customer integrations, post-sale adoption, and expansion while building trusted technical relationships. Collaborate with Sales, Product, Engineering, and the CTO to translate customer feedback into product improvements and optimize the sales pipeline.

Leads large, complex professional services engagements from customer discovery and kickoff through adoption. Manages scope, timelines, risks, resources, delivery challenges, and stakeholder alignment across Sales, Solutions Architecture, engineering, and Product teams. Drives organizational change, customer adoption of AI-native software workflows, executive communication, and value realization while coordinating multiple concurrent programs.

Lead frontend architecture and implementation for an AI-driven platform: build performant, responsive React/TypeScript applications, manage complex state and real-time updates, establish component libraries, testing, CI/CD, mentor junior engineers, and drive frontend best practices and scalability.

Own and ship backend services in production, make long-term architecture decisions, use generative AI daily to improve development, collaborate with founders and cross-functional teams, and maintain operational reliability for enterprise-scale systems.

Leads revenue operations supporting sales leadership through forecasting, pipeline analysis, territory and quota planning, CRM improvements, sales process standardization, reporting, and GTM optimization. Partners cross-functionally with Sales and Marketing to improve productivity, forecast accuracy, and new business, upsell, and cross-sell performance. Builds financial and revenue models, dashboards, and actionable recommendations for senior stakeholders.