Field CTO

BlitzyCambridge, MA
Onsite

About The Position

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We’re transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We’re backed by multiple tier 1 investors, and have proven success as founders of previous start-ups. We are looking for an experienced Field CTO to serve as the senior technical partner to our enterprise customers. You will interface directly with CIOs, CTOs, and Heads of Engineering to validate architectures, accelerate modernization, and ensure every Blitzy deployment drives measurable velocity in software delivery. You will work alongside a rapidly growing, high-performance Enterprise Sales and Customer Success team, collaborating closely with our AI Solutions Consultants to pair technical validation with commercial ROI—leading technical strategy and credibility throughout the enterprise sales cycle and beyond. This role requires deep, firsthand understanding of the AI code-generation ecosystem—including direct, practical experience with modern foundation models, toolchains, and frameworks for autonomous or assisted code generation. You know what’s possible, what’s hype, and how to operationalize it in real enterprise environments.

Requirements

  • Demonstrated experience as a Field CTO, Chief Architect, VP of Engineering, or senior technical executive in an enterprise or customer-facing capacity
  • Deep, hands-on experience with AI code-generation models, toolchains, and autonomous development frameworks
  • Proven track record leading enterprise architecture assessments, technical validations, and POC cycles at scale
  • Fluency in enterprise sales methodologies including MEDDPICC and the ability to align technical strategy to commercial outcomes
  • Exceptional executive communication skills—equally credible in conversations with individual engineers and C-suite leaders
  • Experience guiding enterprises through large-scale modernization, migration, or AI-adoption initiatives
  • Comfort with fast-moving startup environments, rapid iteration, and operating without a complete playbook

Nice To Haves

  • Proven history implementing or leading AI code-generation initiatives at scale within enterprise environments
  • Familiarity with LLM training, inference optimization, and evaluation metrics
  • Prior startup experience and comfort with the pace and ambiguity of a high-growth company
  • Public-speaking experience or thought-leadership presence in the AI engineering or enterprise architecture space
  • Deep curiosity about how System-2 AI and autonomous agents are reshaping software development—and a point of view on where it’s heading

Responsibilities

  • Independently lead enterprise technical validation from discovery through expansion, owning the technical narrative at every stage
  • Operate as a consultative, executive-level partner to customer technology leadership—earning trust through credibility and clarity
  • Translate customer modernization goals into executable AI-native roadmaps with concrete, measurable outcomes
  • Drive SDLC acceleration and sustained platform adoption for every customer you touch
  • Bring authoritative perspective on AI code-generation models, platforms, and benchmarks—guiding customers confidently through the category landscape
  • Collaborate tightly with Enterprise AEs, AI Solutions Consultants, and Customer Success to align technical success with commercial growth
  • Lead enterprise-scale architecture assessments and proofs of concept from scoping through delivery
  • Design and execute technical validation cycles aligned to MEDDPICC frameworks
  • Translate complex technical capabilities into business value and ROI narratives for both engineering and executive audiences
  • Apply hands-on experience fine-tuning, evaluating, and deploying AI code-generation models (OpenAI, Anthropic, Mistral, or open-source equivalents)
  • Advise customers on how code-generation systems interact with software supply chains, CI/CD pipelines, and developer tooling
  • Guide customers through the AI code-generation landscape—distinguishing what is production-ready from what is emerging
  • Guide customers through modernization, migration, and AI-adoption strategies aligned to their organizational readiness
  • Advise on the architectural and operational changes required to succeed in an agentic software development environment
  • Drive client expansion by uncovering new technical use cases post-implementation
  • Partner with Customer Success to ensure long-term adoption and measurable outcomes
  • Collaborate with Enterprise AEs and AI Solutions Consultants to align technical strategy with commercial milestones
  • Serve as the senior technical voice in enterprise sales cycles, instilling confidence at the CTO and CIO level

Benefits

  • Significant equity upside in one of the fastest-growing AI companies in the U.S., backed by tier 1 investors, with a compensation structure that reflects the seniority and impact of the role
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