Jobs at Blitzy

Build and scale Kubernetes infrastructure for AI agent workloads and production applications. Design CI/CD pipelines, automate provisioning with Python and Terraform, deploy with Helm, and own observability through monitoring, alerting, and distributed tracing. The role also supports AI agent orchestration, developer experience, security, reliability, and cloud cost efficiency across production environments.

Build and manage the Legal team’s technology stack, including Ironclad, CRM integrations, AI legal tools, workflows, playbooks, and reporting. Run contract intake, standard agreements, order forms, vendor review operations, and escalation processes. Manage legal technology vendors, optimize contracting workflows, establish AI guardrails, train stakeholders, and support Commercial and Enterprise Counsel. Track cycle times, volumes, deviations, vendor performance, and technology spend.

Own the full enterprise sales cycle from discovery through close, generating net-new revenue through inbound and outbound efforts. Build relationships with CIOs, CTOs, and engineering leaders, manage complex multi-stakeholder deals, and partner with Solution Consultants on technical validation. Develop ROI narratives, use structured qualification frameworks, collaborate cross-functionally, and consistently exceed pipeline and revenue targets while selling AI, software development, DevOps, or infrastructure platforms.

Manages concurrent enterprise professional services engagements from scoping through delivery and adoption. Responsibilities include developing engagement plans, managing scope, timelines, milestones, resources, stakeholder communication, enablement sessions, customer outcomes, and handoffs. Partners with Sales, Solutions Architecture, FDE, and Product teams; provides feedback on delivery patterns and product gaps; and supports customer references and case studies. Requires technical software delivery knowledge, including architecture, environments, CI/CD, security, and governance.

Lead Blitzy’s global marketing function, including category creation, brand strategy, positioning, product marketing, demand generation, PR, events, and go-to-market strategy. Build a scalable marketing organization, pipeline engine, operating processes, and performance systems. Partner with Sales, Engineering, Customer Delivery, and executive leadership to translate AI technology into enterprise value, drive revenue growth, and establish Blitzy as a category leader.

Own a portfolio of 10–15 enterprise accounts, driving adoption, expansion, customer satisfaction, and revenue growth for Blitzy’s AI software development platform. Build relationships with engineering and executive stakeholders, lead complex expansion sales cycles, develop ROI and executive business cases, partner with solution consultants, and consistently exceed account, pipeline, and revenue targets.

Own the full sales cycle for SMB customers, from outbound prospecting and discovery through close. Generate new business, build executive relationships, manage complex multi-stakeholder sales cycles, and exceed pipeline and revenue targets. Partner with solution consultants and cross-functional teams to validate technical fit, develop ROI narratives, and sell AI, software development, DevOps, infrastructure, and developer tool solutions to technical buyers.

Leads Blitzy’s founding BDR team by recruiting, onboarding, training, and coaching technically fluent representatives. Owns ramp certification, sales metrics, pipeline quality, inbound lead SLAs, CRM accuracy, accepted-NBM workflows, QBRs, forecasting support, and collaboration with Account Executives, Enablement, RevOps, and Recruiting. This player-coach builds repeatable business development processes, improves conversion and attainment, and supports career progression into AE and other go-to-market roles.

Build and lead Blitzy’s founding BDR team by hiring, onboarding, coaching, and certifying technically fluent representatives. Own ramp programs, sales metrics, pipeline quality, inbound lead SLAs, CRM accuracy, handoffs to account executives, QBRs, forecasting, tooling evaluation, and career progression. Develop repeatable business development processes for an enterprise, high-ACV software platform while coaching discovery, objection handling, messaging, and MEDDPICC execution.

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.

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.

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.

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.