Media Technical Product Manager Resume Example
Professional ATS-optimized resume template for Media Technical Product Manager positions
John Anderson
Media Technical Product Manager
Email: john.anderson@example.com | Phone: (555) 123-4567 | LinkedIn: linkedin.com/in/johndanderson | Location: San Francisco, CA
PROFESSIONAL SUMMARY
Innovative and results-driven Media Technical Product Manager with over 8 years of experience leading cross-functional teams to develop scalable video streaming platforms, media ingestion workflows, and digital content delivery solutions. Adept at aligning technological advancements with business objectives, driving product lifecycle management, and implementing cutting-edge media technologies including 4K/8K UHD streaming, cloud encoding, and AI-powered content analysis. Known for fostering collaboration between technical and creative teams to enhance user experience and operational efficiency in fast-paced media environments.
SKILLS
**Hard Skills:**
- Media Workflow Automation
- Cloud Media Services (AWS Elemental, Azure Media Services)
- Video Codec Technologies (HEVC, AV1, VP9)
- OTT & IPTV Platform Development
- Video Streaming Protocols (HLS, DASH, CMAF)
- Media Asset Management (MAM) Integration
- AI & ML for Media Analysis
- Agile Product Methodologies
- Data Analytics & A/B Testing
**Soft Skills:**
- Cross-functional Team Leadership
- Strategic Planning & Roadmap Development
- Stakeholder Engagement
- Problem Solving & Critical Thinking
- Communication & Presentation Skills
- Customer-Centric Innovation
WORK EXPERIENCE
*Senior Media Product Manager*
**Streamline Media Corp**, San Francisco, CA
June 2021 – Present
- Spearheaded the development of a cloud-native, multi-platform live streaming service reaching over 3 million concurrent users, resulting in a 25% increase in active subscriptions.
- Led a team of 10 engineers and designers through the full product lifecycle, from conceptualization to launch, focusing on low-latency streaming and adaptive bitrate algorithms.
- Implemented AI-driven content recommendation and automated content tagging, reducing manual curation time by 40%.
- Collaborated with CDN providers to optimize delivery routes, decreasing buffering issues by 30%.
- Managed integrations with third-party DRM solutions to ensure high-level security compliance for premium content.
*Media Systems Product Lead*
**MediaTech Solutions**, Los Angeles, CA
March 2017 – May 2021
- Designed and launched a scalable media ingestion pipeline supporting 24/7 4K live broadcasts for multiple clients, reducing latency by 15%.
- Coordinated the transition of legacy broadcast systems into cloud-based workflows utilizing AWS Media Services, improving operational efficiency.
- Developed comprehensive documentation for media security standards, aligning with GDPR and CCPA regulations.
- Conducted workshops with creative teams to translate media production requirements into technical specifications, streamlining content workflows.
*Media Operations Specialist*
**DigitalWave Studios**, Los Angeles, CA
January 2014 – February 2017
- Managed daily media ingestion, transcoding, and distribution operations, maintaining 99.9% platform uptime.
- Supported implementation of automated QC tools for content quality assessment, reducing error rates by 20%.
- Worked closely with product managers to refine user interfaces for media management portals, enhancing usability based on client feedback.
EDUCATION
**Bachelor of Science in Computer Science**
University of California, Los Angeles (UCLA)
Graduated: 2013
CERTIFICATIONS
- AWS Certified Media & Entertainment – Specialty (2022)
- Agile Certified Practitioner (PMI-ACP, 2021)
- Certified Scrum Product Owner (CSPO, 2020)
PROJECTS
4K Live Streaming Platform Upgrade
Led a cross-functional team to upgrade existing live streaming infrastructure to support 4K ultra-high-definition content. Integrated HEVC encoding and adaptive streaming, which enabled broadcasters to deliver seamless ultra-HD content with minimal latency. The project resulted in a 50% boost in viewer engagement.
AI-Powered Content Tagging System
Developed a machine learning-driven application that automatically analyzes video content to generate metadata tags, improving searchability and content curation. The system increased content discoverability by 35%, facilitating easier monetization strategies.
LANGUAGES
- English (Native)
- Spanish (Professional Proficiency)
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