Jobs at Blitzy

Own SOC 2 Type II and ISO 27001 compliance programs end to end, manage Vanta as the GRC system of record, lead auditor and partner relationships, evaluate evidence, improve security questionnaire responses, design compliance processes, and support vendor risk, customer trust, business continuity, and FedRAMP initiatives.

Own full-cycle enterprise sales for new Department of War and Intelligence Community accounts, from discovery through close. Build executive relationships with CIOs, CTOs, and engineering leaders; lead complex, multi-threaded sales cycles; apply qualification frameworks; develop ROI narratives; partner with AI Solutions Consultants; and exceed pipeline and revenue targets. The role focuses on selling AI, developer tools, DevOps, infrastructure, or software platforms to Fortune 500 customers, with potential progression into sales management.

Lead new enterprise revenue across State, Local, and Education accounts. Own complex sales cycles from discovery through close, build relationships with CIOs, CTOs, and engineering leaders, and exceed pipeline and revenue targets. Apply structured qualification frameworks, develop ROI narratives, coordinate technical validation with AI Solutions Consultants, and collaborate with leadership, solutions, and customer success teams. The role requires selling technical platforms to engineering organizations and navigating multi-stakeholder enterprise purchasing processes.

Build and run AI-native onboarding, readiness, and enablement programs across presales and post-sales teams. Translate performance standards into learning pathways, assessments, certifications, and adaptive practice experiences. Partner with commercial, technical, productivity engineering, and operations leaders to improve ramp, readiness, execution, and time to productivity. Use evidence from real work to identify gaps, target support, and scale enablement programs.

Perform hands-on manual QA for web and mobile applications, including test case design, regression, exploratory, API, integration, and end-to-end testing. Manage Jira defects, validate user workflows and UX requirements, and collaborate with engineering, product, and design teams. Establish QA best practices in a fast-moving AI software environment and partner with automation engineers to identify testing opportunities.

The Senior Solution Architect engages enterprise customers, leads technical sales discussions, advises on software architecture and implementation, runs proofs of concept, and demonstrates business impact. The role covers cloud infrastructure, APIs, DevOps, CI/CD, microservices, and developer workflows. It also guides integrations, partners with Sales, Product, and Engineering, translates customer feedback into product insights, and drives post-sale adoption and expansion across enterprise teams.

Lead technical sales engagements with enterprise customers evaluating AI-driven software development solutions. Advise on architecture, cloud infrastructure, APIs, CI/CD, and developer workflows; run proofs of concept; guide platform integrations; and demonstrate business impact. Partner with Sales, Product, Engineering, and executive stakeholders to drive acquisition, post-sale adoption, expansion, and product improvements.

Partners with strategic technology and channel partners to demonstrate and position an AI-powered software development platform. Leads technical discovery, product demonstrations, proof-of-concept engagements, partner training, solution design, and implementation planning. Collaborates with Sales, Partnerships, Product, and Engineering to align solutions with customer needs, identify integrations and use cases, support adoption, and improve partner enablement processes.

Own and scale paid acquisition across Google, LinkedIn, Reddit, X, and other channels. Manage full-funnel campaigns, analyze performance and conversion data, optimize budgets and return on ad spend, and run rapid experiments across targeting, messaging, creative, and channels. Collaborate with leadership and cross-functional teams on go-to-market priorities while using analytics, AI, and automation tools to improve marketing execution and growth.

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.

Deploy Blitzy in complex enterprise environments, embed with customer engineering teams, and guide implementations from onboarding through production. Build Java and Spring Boot integrations, REST APIs, microservices, and reusable tools; troubleshoot infrastructure and platform issues; support observability, testing, and production operations; lead proofs of concept and technical demonstrations; and translate customer feedback into product improvements and adoption strategies.

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 and develop Blitzy’s mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. The role requires hands-on architecture, coding, system reliability, scalability, observability, data architecture, semantic retrieval, and enterprise software modernization. The Principal Engineer will drive complex technical initiatives, establish engineering standards, and contribute across backend, frontend, infrastructure, and AI systems without people-management responsibilities.

Owns architecture and technical roadmaps for core backend, infrastructure, and AI platform areas. Writes and reviews production code, resolves complex reliability issues, drives technical initiatives, improves software delivery practices, and mentors engineers. The role partners closely with company leadership and cross-functional stakeholders in an in-person environment while shaping scalable, secure, enterprise-grade systems.

Own and develop mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. Design scalable services using Python, REST, gRPC, Kubernetes, and Terraform; manage relational, NoSQL, graph, and vector data architectures; improve reliability, performance, and operational excellence; and provide hands-on technical leadership across backend, frontend, infrastructure, and AI systems.

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.

Deploy Blitzy in complex enterprise environments, embed with customer engineering teams, and build production-grade Java and Spring Boot services, integrations, REST APIs, and microservices. Lead architecture discussions, implementations, demonstrations, debugging, production operations, and technical deployments. Develop reusable tools and patterns, support observability and testing, and communicate customer needs to product and engineering teams to influence platform improvements and enterprise adoption.