AI Product Manager
@ Selby Jennings

New York, NY
$200,000
On Site
Full Time
Posted 22 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXXXX XXXXXXX******* @selbyjennings.com
Recommended after applying

Job Details

Overview

Selby Jennings is partnered with a leading hedge fund to recruit a technically inclined AI Product Manager. In this role, you will build new 0 to 1 AI products for a venture team to drive efficiency across the firm’s investment activities and portfolio companies.

Key Responsibilities

  • Design and develop innovative AI products.
  • Collaborate closely with engineering teams.
  • Drive technical investments through internal product creation.
  • Develop LLM and other AI-centric features.
  • Contribute as one of the first team members.

Qualifications

  • Bachelor's/Master's degree.
  • 3-6+ years of Product Management experience in the AI space.
  • Strong written, verbal and collaboration skills.
  • Proven ability to build complex, internal 0 to 1 AI enabled products.
  • Experience working hand in hand with engineering teams.

Key Skills/Competency

  • Product Management
  • AI
  • Technical Development
  • Collaboration
  • Engineering
  • Innovation
  • LLM
  • Digital Transformation
  • Strategy
  • Investment
Apply without a personalized resume

How to Get Hired at Selby Jennings

🎯 Tips for Getting Hired

  • Research Selby Jennings: Study their firm culture and news.
  • Customize your resume: Highlight AI and product skills.
  • Emphasize collaboration: Showcase teamwork in projects.
  • Prepare your portfolio: Include successful product cases.

📝 Interview Preparation Advice

Technical Preparation

Review AI product case studies.
Study LLM frameworks and architectures.
Familiarize with technical product roadmaps.
Practice product development scenarios.

Behavioral Questions

Describe a challenging project from start to finish.
Explain teamwork in a technical setting.
Share conflict resolution experiences with engineering.
Detail decision-making under uncertain conditions.

Frequently Asked Questions