Senior Product Manager Machine Learning
@ Runway

Hybrid
$150,000
Hybrid
Full Time
Posted 1 day ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXX XXXXXXX******* @runway.com
Recommended after applying

Job Details

Overview

Runway, a global AI research and technology company, is building Universal Simulation systems. We empower creators to make anything from images and videos to interactive games and social media. Join our creative, caring, and ambitious team that dares to change the world.

About the Role

The Senior Product Manager Machine Learning will help develop cutting-edge AI tools. You will work closely with our research team to turn groundbreaking AI systems into impactful products for our customers. This role is a key contributor in shaping market-defining products in our early-stage company.

Key Responsibilities

  • Define new AI applications that solve customer needs.
  • Collaborate with engineering and design to productize research.
  • Continuously improve existing tools and product features.
  • Define and analyze metrics, conduct A/B tests and gather user feedback.

What You’ll Need

  • 1+ years in an industry or academic role with direct coding experience.
  • 3+ years of product management experience.
  • Strong understanding of state-of-the-art ML capabilities and products.
  • Experience in fast-moving teams and building products from scratch.
  • Excellent written and verbal communication skills.

Key skills/competency

  • Product Management
  • Machine Learning
  • AI Tools
  • Technical Expertise
  • User Analysis
  • Metrics Analysis
  • A/B Testing
  • Collaboration
  • Communication
  • Research Productization
Apply without a personalized resume

How to Get Hired at Runway

🎯 Tips for Getting Hired

  • Customize your resume: Highlight ML and product management experience.
  • Research Runway: Understand their AI products and research focus.
  • Network strategically: Connect with current employees on LinkedIn.
  • Prepare case studies: Showcase your product success stories.

📝 Interview Preparation Advice

Technical Preparation

Review case studies of AI products.
Brush up on state-of-the-art ML techniques.
Practice data analysis with A/B testing.
Refresh coding skills relevant to AI research.

Behavioral Questions

Describe a time you bridged teams.
Explain your approach to handling feedback.
Share an example of prioritizing feature development.
Discuss conflict resolution in team settings.

Frequently Asked Questions