Jobs at Blitzy

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.

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 full sales cycle for new SMB customers, from outbound prospecting and discovery through close. Build executive and technical relationships, manage complex multi-stakeholder deals, partner with Solution Consultants on technical validation, develop ROI narratives, and exceed pipeline and revenue targets. The role targets CIOs, CTOs, engineering leaders, and organizations evaluating AI, developer tools, DevOps, infrastructure, and software development platforms.

Drive enterprise customer acquisition and revenue by advising technical stakeholders on AI-powered software development. Lead architecture discussions, demonstrations, proofs of concept, integrations, and adoption efforts involving cloud infrastructure, APIs, DevOps, CI/CD, and developer workflows. Partner with Sales, Product, Engineering, and executive stakeholders to translate customer needs into product improvements, build trusted relationships, and expand usage across teams.

Engage enterprise prospects evaluating an AI software development platform. Advise on architecture, cloud infrastructure, APIs, CI/CD, and developer workflows; lead proofs of concept and integrations; demonstrate business impact; collaborate with Sales, Product, and Engineering; translate customer feedback into roadmap insights; and drive post-sale adoption, expansion, and revenue.

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.

Manage high-intent inbound leads and targeted outbound campaigns, qualify technical prospects, run value-based discovery with engineers and execs, build enterprise pipeline with AEs, and hit activity and pipeline metrics to source revenue.

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.

Hunt and close net-new enterprise deals for an AI software development platform. Own full sales cycle, prospect outbound and manage inbound, engage CIO/CTO-level buyers, run MEDDICC/BANT-led qualification, partner with AI Solutions Consultants for technical validation, build ROI narratives, and exceed revenue targets.

Lead and scale engineering teams responsible for backend platform, infrastructure, and AI product systems. Own execution, roadmap planning, incident response, hiring, and cross-functional communication while remaining hands-on with code and technical design to improve reliability and delivery velocity.