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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering organizations, integrating AI tools into product development, and aligning technical decisions with business objectives. Proven ability to foster team autonomy, accountability, and continuous improvement while managing high-throughput infrastructure.
Highest-signal resume keywords
AI Tools ExperienceEngineering LeadershipProduct PrioritizationInfrastructure DevelopmentCommercial Mindset
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Engineering BackgroundArchitecture SkillsAI WorkflowsAutomation CapabilitiesQuality EvaluationReliability AssessmentCost AnalysisCustomer Value MeasurementDecision-Making OwnershipHigh-Throughput Infrastructure
Soft Skills
Team BuildingAccountabilityContinuous ImprovementClear CommunicationTrade-Off Analysis
Industry Keywords
AI InitiativesReal-Time InfrastructureOperational DisciplineCustomer DemandInvestment Decisions
About the role
Key responsibilities & impact- Partner with the CEO to set technology direction and run a business unit
- Own business-unit priorities, execution, and outcomes
- Work with product and commercial teams to connect customer demand, investment decisions, and delivery
- Turn AI, LLMs, and automation into practical product and engineering capabilities
- Define success measures and move promising AI initiatives into production
- Evaluate initiatives based on quality, reliability, cost, and customer value
- Lead Engineering Managers, Tech Leads, infrastructure leaders, and Data Science
- Set priorities, delegate decision-making ownership, develop leaders, and hold teams accountable
- Evolve high-throughput, real-time infrastructure for growth
- Balance experimentation with resilience, security, and operational discipline
Requirements
What you’ll need- Strong engineering or architecture background
- Ability to challenge design decisions with senior engineers
- Ability to connect technical decisions to product priorities and long-term business needs
- Commercial mindset and understanding of customer needs
- Ability to make clear trade-offs and take responsibility for results beyond the engineering roadmap
- Hands-on experience building with AI tools and workflows
- Ability to evaluate AI value, limitations, and responsible production deployment
- Experience leading engineering organisations through managers and leads
- Experience building strong teams and fostering autonomy, clear accountability, and continuous improvement
Benefits
Comp & perks- Direct partnership with the CEO
- Serious AI investment and real-world scale, including access to an NVIDIA B300 GPU cluster
- Opportunity to shape technology, develop leaders, and run a business unit