- Own people leadership for the AI Platform development team, including hiring, onboarding, performance management, and career development
- Drive execution against the AI platform roadmap by translating strategic priorities into sprints and milestones
- Participate in architecture discussions and design reviews for agent runtime infrastructure, tool/plugin registries, memory and context management layers, and agent observability pipelines
- Set and uphold standards for code quality, reliability, on-call practices, and operational maturity
- Report team progress, risks, and resourcing needs to senior stakeholders
- Communicate technical trade-offs to different audiences
- Advocate for team wellbeing and growth, remove blockers, and build a high-trust culture
- Raise the team's technical craft through design reviews and documentation habits
- Partner with AI engineering, product, cloud engineering, and technical leadership teams across the enterprise
Requirements
- 3+ years of experience as a people manager of software, platform, or infrastructure engineers
- 5+ years of overall software engineering experience
- Track record of hiring, coaching, and retaining strong engineers
- Experience leading teams through ambiguous, fast-moving priorities
- Working knowledge of cloud-native architecture, including Kubernetes, managed cloud services, networking, and multi-tenancy patterns across AWS, GCP, or Azure
- Ability to lead complex, multi-month platform initiatives from whiteboard to production
- Exposure to AI/ML infrastructure, including model serving, inference pipelines, agentic solutions, or LLM integration patterns
- Experience setting and upholding engineering standards across a team
- Strong communication and written documentation skills
- Bachelor's degree in computer science, engineering, or a similar discipline
- Must be able to work in the US without sponsorship now or in the future
- Experience leading an internal developer platform from scratch is ideal
- Familiarity with AI safety, model evaluation, and governance frameworks is ideal
- Open-source contributions to platform or ML infrastructure tooling are ideal
- Advanced educational degree preferred
Core Competencies
Demonstrates strong leadership in managing AI platform development teams, with a focus on hiring, performance management, and fostering a high-trust culture. Proficient in driving execution of complex platform initiatives and upholding engineering standards while effectively communicating technical concepts to diverse audiences.
Highest-signal resume keywords
- People Management
- Cloud-Native Architecture
- AI/ML Infrastructure
- Engineering Standards
- Strong Communication Skills
ATS Optimization Keywords
Hard Skills
- Software Engineering
- Kubernetes
- AWS
- GCP
- Azure
- Model Serving
- Inference Pipelines
- Agentic Solutions
- LLM Integration Patterns
- Performance Management
Soft Skills
- Team Leadership
- Coaching
- Communication
- Problem Solving
- Collaboration
Certifications & Qualifications
- Bachelor's Degree in Computer Science
- Advanced Educational Degree Preferred
Industry Keywords
- AI Safety
- Model Evaluation
- Governance Frameworks
- Open-Source Contributions
- Internal Developer Platform
Tools & Technologies
- Cloud Services
- Networking
- Multi-Tenancy Patterns
- Documentation Tools
- On-Call Practices