AI Platform Product Owner Resume - Rachel Kim

Professional resume for AI Platform Product Owner with ML infrastructure expertise.

Rachel Kim

+1 (555) 567-8901 rachel.kim@email.com 7years Birth Date: 1991-04-25 female

Job Intention

Desired Position AI Platform Product Owner
Expected Salary $170,000 - $210,000
City Seattle, WA

Self Evaluation

Visionary product leader with 7 years of experience building AI/ML platforms serving 10K+ developers. Expert in MLOps, model deployment, and developer tools. Launched products processing 1B+ predictions daily. Strong technical background with ability to bridge business needs and engineering execution.

Work Experience

Cloud Tech Giant
2021-06
Department: AI/ML Platform
Senior Product Owner, AI Platform
Own product roadmap for ML training and inference platform used by 5K internal data scientists. Launched automated model deployment reducing time-to-production from weeks to hours. Drove 60% cost reduction through resource optimization. Managed $50M annual infrastructure budget.
E-Commerce Leader
2018-08 - 2021-05
Department: AI Products
Product Manager, Machine Learning
Built recommendation engine platform powering personalization across properties. Integrated with 20+ services reaching 200M users. Improved click-through rates by 45% through better targeting. Led team of 12 engineers and data scientists.
AI Startup
2016-07 - 2018-07
Department: Product
Technical Product Manager
Defined requirements for NLP API serving enterprise customers. Collaborated with research team on productionizing models. Supported sales on technical evaluations closing $5M ARR.

Project Experience

Enterprise ML Platform Unification
2023-01 - 2023-09
Product Owner

Led development of unified ML platform consolidating fragmented tooling across organization.

Responsibility Platform vision, feature prioritization, stakeholder alignment, rollout strategy, adoption metrics.
Achievement Reduced model training time by 75%. Enabled 10x more experiments monthly.
Real-Time Inference Platform
2022-05 - 2022-12
Lead Product Manager

Architected real-time inference platform for critical business applications.

Responsibility Requirements definition, architecture decisions, capacity planning, monitoring setup, incident response.
Achievement Achieved 99.95% SLA. Scaled to handle Black Friday peak (10x normal load).

Education

Carnegie Mellon University
2014-09 - 2016-06
Master of Science , Computer Science
GPA: 3.9/4.0. Machine Learning Specialization.
UC Berkeley
2010-09 - 2014-05
Bachelor of Science , Computer Engineering
GPA: 3.8/4.0. Summa Cum Laude.

Skills

AI/ML Platform Strategy MLOps & Model Deployment Developer Tools & APIs Agile/Scrum Methodologies Stakeholder Management Data Analysis (Python, SQL)

Certificates

2023-06
Product management certification
2022-09
Machine learning specialization

Highlights

  • ATS-friendly layout to pass screening
  • Polished design that stands out
  • Fully editable content with AI writing help
  • One-click PDF export, ready to apply
  • Shareable link for online applications

Template Info

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Categoryproduct
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