Scale AI

1 month ago

Technical Program Manager, Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Technical Program Manager for the Scale Generative AI Platform (SGP) to own strategic alignment and end-to-end execution of infrastructure initiatives. Lead cross-functional GenAI projects, translate complex infrastructure into actionable roadmaps, mitigate deployment risks, and drive developer velocity with measurable SLOs and reliability for global-scale deployments.

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

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 identify, track, and mitigate technical risks unique to massive-scale GenAI infrastructure and global SGP deployments.
•Developer Velocity & Operational Excellence: Establish lightweight agile processes that empower engineers to ship fast without breaking core systems. Define and enforce clear SLOs and performance benchmarks to guarantee production-grade reliability for clients.

Pay and Benefits

Salary: USD 211,200 - 264,000 annually

Perks:Health InsuranceRetirement BenefitsLearning StipendPaid Leave

Key Requirements

•5+ years of experience as a Technical Program Manager, Product Manager, or Software Engineer with a track record of building and shipping technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms)
•3+ years of dedicated experience managing programs focused on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes), or distributed systems
•AI/ML infrastructure literacy including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setups
•Masterful communication with executive stakeholders and ability to translate complex technical challenges into business impacts
•Execution excellence with iterative development methodologies and project management tools (Linear, Jira, etc.)

Experience:5+ yearsAIGenAICloud

Skills:APIsAWSGCPKubernetesDistributed systemsGPUModel servingLinearJira

Languages:English

Tech Stack:AWSGCPKubernetesDistributed systemsGPUAPIsModel servingLinearJira

Company Brief

Scale AI

Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn

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Scale AI

1 month ago

Technical Program Manager, Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

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 identify, track, and mitigate technical risks unique to massive-scale GenAI infrastructure and global SGP deployments.
•Developer Velocity & Operational Excellence: Establish lightweight agile processes that empower engineers to ship fast without breaking core systems. Define and enforce clear SLOs and performance benchmarks to guarantee production-grade reliability for clients.

Pay and Benefits

Salary: USD 211,200 - 264,000 annually

Perks:Health InsuranceRetirement BenefitsLearning StipendPaid Leave

Key Requirements

•5+ years of experience as a Technical Program Manager, Product Manager, or Software Engineer with a track record of building and shipping technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms)
•3+ years of dedicated experience managing programs focused on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes), or distributed systems
•AI/ML infrastructure literacy including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setups
•Masterful communication with executive stakeholders and ability to translate complex technical challenges into business impacts
•Execution excellence with iterative development methodologies and project management tools (Linear, Jira, etc.)

Experience:5+ yearsAIGenAICloud

Skills:APIsAWSGCPKubernetesDistributed systemsGPUModel servingLinearJira

Languages:English

Tech Stack:AWSGCPKubernetesDistributed systemsGPUAPIsModel servingLinearJira

Company Brief

Scale AI

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn