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Leads Blitzy’s Solutions Consulting organization and technical go-to-market strategy, driving enterprise AI platform adoption and up-market revenue. Responsibilities include building and managing the pre-sales team, partnering with Sales, Product, and Engineering, developing technical sales methodologies, overseeing strategic customer engagements, managing budgets, improving win rates and deal velocity, and executing GTM initiatives for complex AI-driven software modernization opportunities.

Own the architecture and technical roadmap for core backend, infrastructure, and AI platform areas. Write and review production code, resolve complex production issues, improve reliability and scalability, and drive technical initiatives across teams. Build prototypes and customer-facing technical content, mentor engineers, establish engineering standards, and collaborate with cross-functional stakeholders in an in-person environment.

Leads and grows a team of Forward Deployed Software Engineers supporting enterprise accounts. Owns delivery standards, technical escalations, senior customer relationships, architecture decisions, business reviews, pre-sales support, and hands-on integration work. Builds reusable delivery assets, frameworks, demos, and best practices while partnering with Product, Sales, and executive leadership to scale the function and influence product and go-to-market strategy.

Hunt and close net-new Public Sector enterprise deals, manage complex multi-stakeholder sales cycles, navigate government procurement (RFPs, contract vehicles, compliance), partner with solutions consultants for technical validation, build executive relationships, and consistently exceed pipeline and revenue targets.

Lead hands-on ownership of mission-critical production systems across frontend, backend, infra, and LLM tooling. Ship high-impact features, ensure scalability, reliability, and operational excellence, design and operate LLM validation loops, and raise engineering quality through durable technical decisions without people management responsibilities.

Drive net-new enterprise revenue by owning full sales cycles from discovery to close. Prospect outbound and qualify inbound demand, manage complex multi-stakeholder deals with CIO/CTO-level buyers, partner with solution consultants for technical validation, and consistently exceed pipeline and revenue targets using formal qualification frameworks and ROI-driven narratives.

Embed with enterprise engineering teams to deliver production-quality integrations of an AI software platform. Build custom integrations, debug complex environments, develop reusable patterns, run POCs, and translate executive goals into technical roadmaps. Act as a trusted technical advisor, influence product roadmap with field insights, and contribute code and documentation back to the core platform.