Jobs at Blitzy

Lead and scale Blitzy’s 20-person BDR organization, owning hiring, outbound pipeline strategy, coaching, performance management, pipeline coverage, forecasting, and cross-functional alignment with Sales, Marketing, Enablement, and RevOps. Refine prospecting playbooks, qualification standards, onboarding, and operating cadence while improving pipeline generation, conversion, ramp time, productivity, and quota attainment.

Create high-impact sales decks, pitch templates, case studies, marketing and growth assets, infographics, reports, and reusable brand templates. Partner with GTM to support enterprise deals, ensure on-brand visuals, build design systems, and provide cross-functional design support while maintaining high craft and fast turnarounds.

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 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.

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 technical pre-sales engagements with enterprise engineering leaders: run demos and proofs-of-concept, advise on architecture, CI/CD, cloud, APIs and developer workflows, close complex deals, drive post-sale adoption and product feedback, and partner with Sales, Product, and Engineering to expand usage across accounts.

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.

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.

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.

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.

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.

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.

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.

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.

Serve as the technical lead in pre-sales and post-sales for enterprise customers: run technical demos and PoCs, advise on architecture, CI/CD, cloud, APIs and integrations, partner with Sales/Product/Engineering, drive adoption and expansion, and translate customer feedback into product improvements.

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.

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.

Build, extend, and scale automated testing frameworks and CI/CD validation to verify runtime behavior and performance of AI-generated applications across multi-language, distributed production environments. Implement end-to-end and integration tests, runtime monitoring, quality metrics, and automated detection of runtime issues while collaborating with AI engineers to improve platform reliability.

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.