Logo

Principal Product Manager - Risk

OKX
San Jose, California, United States
Full time
$180,000 - $330,000 per year
Hybrid

Overview

Department

Product

Job type

Full time

Compensation

$180,000 - $330,000 per year

Location

San Jose, California, United States

Company size

Mature [ 50+ employess ]

Ready to apply?

You're one step away - it takes less than a minute to upload your resume

Resume Assistance

See how well your resume matches this job role with our AI-powered score. By uploading your resume, you agree to our Terms of Service

Lead the team driving the strategic direction and success of the Machine Learning Decision Platform. Collaborate with other product teams to identify needs and product solutions.

Requirements

  • A minimum of 4 years of hands-on experience in product management or related roles, with a strong emphasis on machine learning or data-driven decision-making platforms. Additionally, a minimum of 2 years of experience in people management is required.
  • Possess a solid technical background in machine learning, decision-making systems, feature store model service and training, enabling effective collaboration with data scientists, analysts, ops and engineers.
  • Have a very strong sense of business, responsible for exploring business integration possibility among all stakeholders
  • Demonstrated expertise in defining product roadmaps, prioritizing features, and successfully delivering market-ready products.
  • Exceptional problem-solving skills, with the ability to analyze complex challenges, generate innovative solutions, and make well-informed decisions.
  • Strong leadership abilities, capable of motivating and inspiring teams to achieve objectives and goals.

    • Responsibilities

  • Take the lead in developing and managing our Decision Intelligence Platform, collaborating closely with cross-functional teams comprising data scientists, analysts, engineers, and stakeholders.
  • Create and communicate a well-defined product roadmap, outlining important milestones, timelines, and deliverables.
  • Work closely with stakeholders to gather feedback, understand user requirements, and incorporate insights into product enhancements and iterations.
  • Define and track key product metrics, assess performance against goals, and make data-informed decisions to optimize product effectiveness and drive continuous improvement.

    • Benefits

  • Competitive total compensation package
  • L&D programs and Education subsidy for employees' growth and development
  • Various team building programs and company events
  • Wellness and meal allowances
  • Comprehensive healthcare schemes for employees and dependants
    • Company
    About
    Academy
    Pricing
    Partnerships
    Legal
    Terms
    Privacy
    Cookies
    Contact
    © All rights reserved.