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Technical Program Manager, Platform

Scale AI - San Francisco, CA; New York, NY

Posted Jun 4, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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401(k) match
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Market context

Median wage (BLS OEWS)
$102,662 national median
Projected growth (BLS Employment Projections)
+5.4% - Faster than average

131% above the BLS national median for product management aggregate.

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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Assessment
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Deadline
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Where they hire

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About this role

Technical Program Manager, Platform San Francisco, CA; New York, NY As a Technical Program Manager for the Platform team, you will partner with engineering teams to directly accelerate the development and maturity of the Scale Generative AI Platform (SGP) . We are looking for a TPM who has actively built and shipped products in the past and understands how to deliver robust, scalable developer tooling and distributed systems. In this role, you will own the strategic alignment and end-to-end execution of our most critical infrastructure initiatives-from initial scoping to measurable, company-wide and customer-ready adoption. You will serve as the core communication backbone and connective tissue between platform engineering, product teams, and executive leadership. Operating in a hyper-growth, demanding AI environment, you will translate SGP's architectural complexities into clear execution strategies , unblock engineering bottlenecks, proactively mitigate deployment risks, and ensure our foundational platforms deliver reliable, performant, and secure systems capable of global-scale deployment. Key Responsibilities - Lifecycle & Platform Delivery: Lead strategic planning and high-velocity execution for SGP core capabilities (orchestration layers, model serving, APIs). Manage features from technical scoping and architecture design through production launch. - Cross-Functional GenAI Alignment: Drive execution and manage complex technical dependencies across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency. - Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features. - Risk & Dependency Mitigation: Proactively

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