Jobs at Blitzy

Lead and scale Blitzy's Public Sector sales organization—own revenue, recruit and coach account executives, manage complex government deals and procurement, drive pipeline, forecasting, and cross-functional alignment to win large federal, state, and local contracts.

Provide L2 support for an AI software platform: deploy/install into customer environments, triage and resolve issues across Kubernetes, cloud providers, networking, storage, and services; build runbooks, dashboards, and alerts; reproduce issues safely; write evidence-backed escalations and post-incident notes; participate in rotating on-call coverage aligned to US time zones.

Lead and scale a team of AI Solutions Consultants to drive enterprise customer acquisition, pilot-to-production conversions, and revenue growth. Act as executive technical advisor across complex sales cycles, lead technical architecture and integration discussions (CI/CD, cloud, APIs), develop operational frameworks, mentor team members, run workshops and proofs-of-concept, and translate customer feedback into product roadmap insights.

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.

Serve as technical advisor and pre-sales engineer for enterprise customers: lead technical discussions, run proofs-of-concept, integrate Blitzy into developer workflows, collaborate with Sales/Product/Engineering, drive adoption and expansion, and convert technical evaluations into closed deals.

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.

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.

Lead and scale a Solutions Consulting team focused on enterprise customer acquisition and expansion. Act as an executive technical advisor across complex sales cycles, run technical workshops and proofs-of-concept, and drive pilot-to-production conversions. Build operational frameworks, hire and mentor technical consultants, and collaborate with Sales, Product, Engineering, and Customer Success to influence roadmap and ensure successful deployments.

Lead design, build, and operation of scalable, fault-tolerant cloud infrastructure. Define SLOs/SLAs, improve observability and incident response, own CI/CD and deployment automation, partner with engineering teams on reliability, capacity planning, performance benchmarking, cost optimization, and security for an AI platform.

Hunter-style Enterprise Account Executive responsible for driving net-new enterprise revenue: own complex sales cycles, prospect outbound and inbound leads, engage CIO/CTO-level buyers, partner with AI Solutions Consultants for technical validation, and exceed pipeline and revenue targets in a high-performance, on-site Cambridge environment.

Provide technical frontline support for Enterprise and Pro users: investigate and reproduce issues, analyze logs/traces, debug code (Python/TypeScript), submit engineering tickets or ship fixes, own escalations, produce documentation and knowledge base, and collaborate with Engineering and Product to improve reliability and agent behavior.

Embed with customer engineering teams to architect and deliver production-quality integrations, write code, debug complex issues, create demos, develop reusable patterns, influence product direction, and drive enterprise adoption of Blitzy's AI software development platform.

Operate and showcase the Blitzy autonomous software development platform by building public projects, refactoring open-source repos, fixing CVEs, creating technical content, engaging developer communities, and driving enterprise demand by identifying technical champions and partnering with sales to move pipeline forward.

Lead and scale a Forward Deployed Engineering practice embedded in strategic enterprise accounts. Own delivery, executive relationships, transformation roadmaps, team recruitment and development, account expansion, and cross-functional partnership to align product roadmap with field needs and drive high-quality, outcome-driven software engagements.

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.

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.

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.

Manage 5–15 enterprise accounts to drive adoption and expansion of Blitzy's autonomous software development platform. Serve as trusted advisor to engineering executives, lead complex sales cycles, partner on technical validation, develop ROI narratives, 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.

Build and maintain scalable Kubernetes clusters, automate infrastructure with Terraform and Python, implement CI/CD and Helm deployments, own observability and AI agent orchestration, and improve developer experience and cloud reliability for enterprise-scale AI workloads.