Director of Engineering
Employment Type: Full-Time
Work Arrangement: Hybrid
Location: New York, NY or London, UK
Experience: 5+ years
In-Office Requirement: 4 days per week
Compensation
Base Salary: $385,000–$550,000 per year
Total Compensation: $1,000,000–$1,500,000, including equity
Equity: Equity package included
Visa Sponsorship: H-1B, O-1, and OPT sponsorship available
About the Company
Dynamo AI builds infrastructure and software that help enterprises deploy AI systems that are reliable, secure, observable, scalable, and production-ready .
The company provides AI infrastructure, evaluation frameworks, and real-time guardrails that enable regulated enterprises, including Fortune 500 companies and global financial institutions, to operationalize AI at scale.
About the Role
We are seeking a Director of Engineering to lead the continued expansion of the engineering organization from approximately 25 people toward a significantly larger, globally distributed team.
This is an executive-level leadership role with direct ownership of engineering hiring, organization ... (content truncated) ...
Key Responsibilities
Engineering Organization & Scaling
- Lead the engineering organization through a period of rapid growth while maintaining execution quality and operating discipline.
- Scale the organization from approximately 25 engineers toward 100+ engineers.
- Design and evolve the organizational structure required to support a globally distributed engineering function.
- Establish effective management layers and cross-functional coordination mechanisms.
- Build and develop engineering leaders across the organization.
Engineering Operations
- Establish engineering planning and operating rhythms.
- Define prioritization frameworks, hiring standards, onboarding processes, and performance expectations.
- Build an engineering culture capable of maintaining high execution standards as the organization scales.
- Ensure effective collaboration across AI engineering and deployment engineering teams.
Technical Leadership
- Provide technical leadership and judgment across AI engineering, machine learning, deployment, and production infrastructure .
- Engage substantively with technical leaders across both AI development and production systems.
- Help shape the technical organization required to support reliable, scalable AI products.
- Maintain strong engineering standards across architecture, development, deployment, and production operations.
Executive & External Leadership
- Partner directly with the founders on organizational strategy and engineering headcount planning.
- Influence decisions affecting product development and go-to-market strategy.
- Represent the engineering organization with customers, partners, and the broader technical community.
- Serve as a credible public-facing technical leader for the company.
Required Qualifications
- Demonstrated experience scaling an engineering organization from approximately 25 to 100+ people , with direct accountability for hiring, organization ...
- Experience leading globally distributed engineering teams in a startup or high-growth environment.
- Strong technical credibility across both AI engineering and deployment/production infrastructure .
- Experience operating through a significant organizational scaling phase beyond an early-stage engineering team.
- Strong experience building and developing engineering leaders.
- Excellent public-facing communication skills and the ability to represent engineering with customers, partners, and technical audiences.
- Demonstrated ability to work closely with founders and executive leadership on organizational and technical strategy.
- Education from a highly regarded university or equivalent demonstrated caliber through professional experience.
- Based in or willing to relocate to New York, NY or London, UK .
- Ability to work in person four days per week , with either Tuesday or Friday available as the remote day.
Preferred Qualifications
- Experience at a company of comparable scale during Series D or Series E , ...
- Experience building engineering organizations spanning AI research, applied machine learning, and production deployment .
- Experience as a founding or early engineering leader who successfully transitioned an organization from an early-stage team into a larger-scale engineering function.
- Experience operating in highly technical, AI-native, or rapidly scaling technology companies.
Key Skills
- Engineering Leadership
- Organizational Design
- Engineering Scaling
- Technical Strategy
- AI Engineering
- Machine Learning
- Production Infrastructure
- Engineering Operations
- Distributed Engineering
- Engineering Hiring
- Leadership Development
- Performance Management
- Technical Culture
- Product Engineering
- Executive Leadership
- Technical Communication
What Success Looks Like
Success in this role means building an engineering organization capable of scaling rapidly without sacrificing technical quality, execution speed, engineering culture, or organizational clarity .
You will establish the leadership structure, operating systems, hiring standards, and technical culture required to grow a globally distributed engineering organization while partnering directly with the founders on the company's next stage of product and organizational development.
Interview Process
- Conversation with the CEO
- Conversation with the CPO
- Work trial
- Final review and offer
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