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Scale AI

Forward Deployed Product Manager, Enterprise

Scale AI · New York, NY

Posted about 3 months ago

or apply directly on Scale AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
102 days
Scale AI's roles stay open a median of 103 days
Reposted
No
Salary listed
No
2% of Scale AI's roles list one
Ghost-job risk at Scale AI
high
217 stale, 5 reposted of 217 open
Hiring momentum
32 roles opened in the last 90 days
↓ down vs. the prior 90 days
Last confirmed on the employer's board
2026-11-14

Measured from postings appearing on and disappearing from Scale AI's own greenhouse board since 2026-08-03. Full hiring picture for Scale AI.

About this role

The Forward Deployed Product Manager (FDPM) at Scale is responsible for ensuring successful enterprise deployments of AI products by working closely with customers to translate their operational realities into actionable insights for the core platform team. This role involves building relationships with senior stakeholders, driving product delivery, and identifying and resolving deployment challenges. The FDPM must navigate complex customer environments, ensuring that product outcomes align with customer needs and expectations.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scale AI as an employer.

What you need

  • 6+ years in product management, technical program management, or a customer-facing product ownership role.
  • Demonstrated record of shipping products or platform capabilities into large organizations.
  • Extreme ownership and follow-through: closes loops without reminders, drives outcomes across teams without formal authority.
  • Comfortable operating with senior customer stakeholders (VP/C-level) and senior engineers simultaneously.
  • Strong judgment under pressure: makes good calls quickly with incomplete information.
  • Technical fluency sufficient to hold a real conversation with a platform engineer about architectural tradeoffs.

Nice to have

  • Direct experience with AI/ML platform products.
  • Experience in a startup or early-stage environment where process didn't exist and had to be created.
  • Prior forward-deployed or embedded role.

What you get

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend

Worth weighing

  • No specific salary listed, but range provided is $205,600 — $300,000 USD for similar roles in certain locations.
  • Role requires operating in ambiguous environments and making decisions with incomplete information, which may be challenging for some candidates.

Summarised from Scale AI's posting. Read the full original.

Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.

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