Drimva

Scale AI

Product Manager, Enterprise Core Platform

$240K–$300K

New York, NY +2 · Manager · Full-time · Posted May 27, 2026

Location
New York, NY
San Francisco, CA
New York, New York, United States
Experience
6+ years in product management.

About the job

Owns the enterprise core platform foundation, deciding what to build and when, graduating repeated field-built patterns into core capabilities, and ensuring production-ready quality that supports AI deployments.

What you'll do

  • Define and sequence core platform capabilities against customer commitments and delivery-team needs.
  • Identify recurring patterns in forward-deployed teams’ work and decide when capabilities should move into the core platform.
  • Partner with platform engineering, forward-deployed PMs, and business-unit leads to unblock delivery and maintain quality.

What they ask for

  • 6+ years in product management, including meaningful ownership of platform, infrastructure, or developer-facing products at production bar.
  • Demonstrated experience defining and shipping platform capabilities, including explaining architectural decisions and production requirements.
  • Technical fluency to discuss tradeoffs involving infrastructure, authentication, observability, deployment, and agent runtime.
  • Strong prioritization, ownership, cross-functional influence, and communication skills.

Nice to have

  • Direct experience with AI/ML platform infrastructure, such as agent frameworks, evaluation pipelines, fine-tuning workflows, or production AI observability.
  • Experience deploying into constrained environments or serving as a platform/infrastructure PM where field-built patterns informed the core product.

Pay

$240,000 — $300,000 USD (base salary)

Tools

infra, auth, observability, deployment, agent runtime, agent frameworks, eval pipelines, fine-tuning workflows

AI focus

Build platform infrastructure and agentic capabilities that enable reliable enterprise AI deployment, including agent runtime, evaluation infrastructure, expert judgment capture, and data reasoning.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)