Role overview

Scale is building an agentic operating system for AI deployment across major organizations worldwide. As Platform PM for Enterprise Core, you will define and own the foundational infrastructure that all product delivery teams depend on. This role goes beyond roadmap management—you are responsible for establishing what must be true at the platform layer before anything reliable can be built on top of it, sequencing work against real customer needs, and maintaining a quality bar that customers can trust.

Key responsibilities

Define the core platform foundation across each capability pillar, determining what must be built first and at what quality level before teams can reliably build on top of it.
Sequence and prioritize platform work by balancing customer commitments, delivery team velocity, and actual blockers to progress, avoiding both unstable foundations and rework.
Identify patterns in what field-built teams are creating and determine when capabilities are ready to graduate from the application layer to the core platform, avoiding both premature and delayed migrations.
Hold every platform capability to a quality bar where it is necessary and built well enough that customers trust it without deliberate thought.
Partner with platform engineering, forward-deployed PMs, and business unit leaders to surface signals, resolve tradeoffs, and keep the roadmap grounded in what is actually blocking work.
Enable delivery teams to spend time on the hardest customer problems rather than rebuilding foundational infrastructure on each engagement.

Requirements

Six or more years in product management with substantial experience owning platform, infrastructure, or developer-facing products at production scale.
Demonstrated track record of defining and shipping platform capabilities yourself, including the ability to discuss architectural decisions, production requirements, and lessons learned.
Strong judgment in sequencing work across competing customer commitments and team velocity constraints with incomplete information, without organizational thrashing.
Technical fluency sufficient to have substantive conversations with platform engineers about architectural tradeoffs in infrastructure, authentication, observability, deployment, and agent runtime—not necessarily deep coding ability, but genuine understanding of how production systems operate.
Extreme ownership and follow-through: closes loops independently, drives outcomes across teams without formal authority, and holds commitments.
Clear and precise communication that adjusts appropriately for different audiences—platform engineers, field PMs, and executives—at the right level of detail.

What makes this role worth considering

You will work on infrastructure that directly enables AI deployment at scale across the world’s most important organizations, rather than building features on top of someone else’s platform. The role demands genuine platform ownership—defining architectural foundations, making sequencing calls in ambiguity, and maintaining quality standards that customers depend on without constant oversight.