Drimva

Upstart

Director of Product, Machine Learning & Decisioning Platforms

$216K–$299K

United States +2 · Remote · Director · Full-time · Posted Sep 16, 2026

Location
United States
Remote
Remote
Experience
8+ years of product management experience; no alternative stated.
Education
Bachelor’s degree in a technical field or equivalent practical experience.

About the job

Leads product strategy and a team of product managers for Upstart’s machine learning and credit decisioning platforms, spanning underwriting, pricing, model lifecycle capabilities, and ML innovation.

What you'll do

  • Lead, coach, and develop product managers while setting priorities and improving product management practices.
  • Set product strategy and roadmaps for credit decisioning and machine learning platforms; partner with engineering and ML leaders on platform capabilities.
  • Identify and validate ML opportunities, improve decisioning systems, and establish scalable processes for data vendor and ML capability integration.

What they ask for

  • Bachelor’s degree in a technical field or equivalent practical experience.
  • 8+ years of product management experience, including technical or platform products.
  • Experience managing and developing product managers.
  • Technical fluency and experience partnering with engineering, machine learning, and data science teams.

Nice to have

  • Experience as a data scientist, machine learning engineer, or other machine learning individual contributor.
  • Experience with model lifecycle management, decisioning systems, experimentation, optimization, or real-time inference platforms; online financial products, especially consumer lending or credit.

Pay

$216,100 — $299,000 USD (base salary); $212,500 — $270,000 CAD (base salary)

Tools

machine learning, model development, versioning, deployment, forecasting, experimentation, monitoring, real-time inference

AI focus

Leads product strategy for ML and credit decisioning platforms; improves model development, deployment, and monitoring; identifies and validates new machine learning applications.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)