Job description

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 enterprise grade 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. OUR CULTURE Who we are: Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500. How we work: - We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally. - Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission. - Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration. - We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships. ABOUT THE ROLE We are hiring a Director of Engineering to lead and scale the engineering teams responsible for Blitzy’s most critical production systems. Reporting directly to the CTO, you will own engineering execution across our backend platform, infrastructure, and AI product surface — directly managing and developing a team of Principal and Senior Engineers. This is a hands-on leadership role. You will be expected to stay close to the code, make credible technical decisions, and hold the bar on delivery quality. We are looking for a leader who knows how to get great engineers to do their best work, remove what gets in their way, and drive outcomes that matter to customers. RESPONSIBILITIES - Lead engineering execution across backend, infrastructure, and AI-powered systems - Manage and develop Principal and Senior Engineers, providing clear expectations, feedback, mentorship, and career growth - Translate product and business priorities into actionable engineering roadmaps, milestones, and delivery commitments - Drive execution across planning, sprint cycles, prioritization, and delivery forecasting - Establish engineering practices that promote strong code quality, technical documentation, accountability, and efficient team collaboration - Identify technical, operational, and delivery risks early and drive mitigation before they impact customers or business objectives - Coordinate production incident response and strengthen system reliability, uptime, and SLA performance - Hire and onboard engineering talent while guiding leveling and organizational development decisions - Communicate engineering progress, risks, dependencies, and technical tradeoffs clearly to Leadership and cross-functional stakeholders - Partner with the CTO, Product, Leadership, and Customer Success teams to align engineering execution with company and customer needs - Use metrics, instrumentation, and feedback loops to improve engineering velocity, predictability, and operational performance QUALIFICATIONS - 5+ years of engineering management experience, including direct management of senior or principal-level engineers. - Background in hands-on software engineering with deep backend expertise and the ability to reason effectively about production code - Proven track record of delivering complex software products reliably and at scale - Experience leading teams that build and operate cloud-native, distributed systems in production environments - Strong technical knowledge of Python, microservices, REST APIs, and gRPC - Familiarity with GCP, AWS or Azure, Kubernetes, and Terraform - Experience with PostgreSQL and NoSQL databases; exposure to vector or graph databases is a plus - Understanding of LLM-powered product development and AI evaluation or production pipelines - Demonstrated success in hiring, leveling, mentoring, and developing engineers within a startup or high-growth environment - Ability to engage credibly in technical design discussions and challenge architectural decisions constructively - Strong communication skills with the ability to explain technical concepts, risks, and tradeoffs to both technical and non-technical stakeholders - Demonstrated judgment in balancing product velocity, engineering quality, system reliability, and long-term technical sustainability - Experience with platform or infrastructure modernization initiatives that improved reliability, scalability, or engineering velocity is a plus - Exposure to AI-native or LLM-powered product companies and enterprise-grade engineering environments is a plus Compensation: $240,000 - $320,000 + Bonus + Equity Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger. Base salary ranges are determined by country, role, level, experience, and skills. The range displayed on each job posting reflects Blitzy’s good faith determination of the minimum and maximum targets for new hire salaries across all locations. Individual pay is determined by related factors, including job skills, experience, and relevant education or training, which may impact a final offer. Your Talent Partner can share more about the specific salary range during the hiring process

Requirements

Must-haves

We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
Lead engineering execution across backend, infrastructure, and AI-powered systems
Manage and develop Principal and Senior Engineers, providing clear expectations, feedback, mentorship, and career growth
Translate product and business priorities into actionable engineering roadmaps, milestones, and delivery commitments
Drive execution across planning, sprint cycles, prioritization, and delivery forecasting
Establish engineering practices that promote strong code quality, technical documentation, accountability, and efficient team collaboration
Identify technical, operational, and delivery risks early and drive mitigation before they impact customers or business objectives
Coordinate production incident response and strengthen system reliability, uptime, and SLA performance
Hire and onboard engineering talent while guiding leveling and organizational development decisions
Communicate engineering progress, risks, dependencies, and technical tradeoffs clearly to Leadership and cross-functional stakeholders
Partner with the CTO, Product, Leadership, and Customer Success teams to align engineering execution with company and customer needs
Use metrics, instrumentation, and feedback loops to improve engineering velocity, predictability, and operational performance
5+ years of engineering management experience, including direct management of senior or principal-level engineers.
Background in hands-on software engineering with deep backend expertise and the ability to reason effectively about production code
Proven track record of delivering complex software products reliably and at scale
Experience leading teams that build and operate cloud-native, distributed systems in production environments
Strong technical knowledge of Python, microservices, REST APIs, and gRPC

Nice-to-haves

Experience with PostgreSQL and NoSQL databases; exposure to vector or graph databases is a plus
Experience with platform or infrastructure modernization initiatives that improved reliability, scalability, or engineering velocity is a plus
Exposure to AI-native or LLM-powered product companies and enterprise-grade engineering environments is a plus
Compensation: $240,000 - $320,000 + Bonus + Equity

Application prep

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Keywords to mirror

aipythonrestgcpawsazurekubernetesllm

Platform: ashby
Effort: quick