Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
OpenAI

Technical Program Manager, Capacity Analytics & Tooling

OpenAI

. Own the product strategy and roadmap for supply and demand planning tools .

Posted 11/5/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $207,000 - $285,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product strategy and roadmap development for supply and demand planning tools, with a strong focus on data quality, forecasting, and capacity planning across multiple cloud environments. Proficient in leading technical programs, managing dependencies, and communicating effectively with cross-functional teams.

Highest-signal resume keywords
Product Strategy DevelopmentCapacity PlanningData ModelingSQL ProficiencyCloud Environment Experience

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Capacity PlanningData CleaningData ValidationForecastingScenario AnalysisSQLPythonData IngestionData TransformationAnalytical Storage
Soft Skills
CommunicationResourcefulnessProduct Judgment
Tools & Technologies
FivetranDbtSparkKafkaAWSGCPAzureOCI
Industry Keywords
Supply PlanningDemand ForecastingResource ConstraintsTechnical TradeoffsInfrastructure Needs

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformKafkaPythonSparkSQL

About the role

Key responsibilities & impact
  • Own the product strategy and roadmap for supply and demand planning tools
  • Understand user needs, set priorities, define success measures, and guide delivery from requirements through adoption and improvement
  • Build workflows for demand intake, forecasting, supply tracking, scenario analysis, and allocation planning
  • Help teams understand infrastructure needs, availability, and gaps requiring action
  • Partner with engineering on ingestion, transformation, storage, and delivery of planning data
  • Guide technical tradeoffs as resources, providers, data sources, and users scale
  • Establish shared data models and definitions for supply, demand, allocations, utilization, and cost
  • Drive data cleaning, validation, reconciliation, and traceability
  • Connect product and research plans to infrastructure demand
  • Make assumptions, uncertainty, forecast accuracy, and capacity constraints visible to decision makers
  • Define metrics for data quality, forecast performance, planning speed, and tool adoption
  • Track capacity availability, utilization, and efficiency across CPU, storage, network, and GPU resources
  • Build planning capabilities across AWS, GCP, Azure, OCI, and other providers
  • Manage dependencies, technical tradeoffs, migrations, risks, and releases across data, infrastructure, and planning teams
  • Drive adoption through workflows, documentation, training, and feedback mechanisms
  • Improve recurring reconciliation and reporting through data and automation
  • Present supply-demand gaps, allocation options, and financial and operational consequences to leadership and partner teams
  • Partner with Finance and Accounting on budgeting and reporting alignment

Requirements

What you’ll need
  • 5+ years of experience leading technical programs or products in data platforms, infrastructure, capacity planning, or a related field
  • Record of delivering systems that teams rely on
  • Experience owning an internal product or platform roadmap and translating operational needs into requirements, priorities, and releases
  • Direct experience with capacity planning, including demand forecasting, supply planning, allocations, and resource constraints
  • Understanding of utilization, performance, availability, and cost in planning decisions
  • Understanding of modern data infrastructure, including ingestion, transformation, batch and streaming processing, and analytical storage
  • Experience with Fivetran, dbt, Spark, Kafka, or comparable systems and ability to discuss architectural tradeoffs
  • Practical experience with data modeling, data cleaning, validation, and reconciliation
  • Ability to use SQL and Python or similar tools to investigate discrepancies, validate assumptions, and prototype analyses
  • Experience applying quantitative methods to forecasting, scenario analysis, or optimization
  • Ability to assess model assumptions and uncertainty, evaluate forecast performance, and explain analysis limitations
  • Understanding of capacity, performance, and cost characteristics of compute, storage, networking, and accelerators
  • Experience working across multiple cloud environments
  • Ability to lead complex programs with many technical dependencies and align teams with different priorities
  • Ability to communicate technical tradeoffs clearly to engineers, researchers, finance partners, and leaders
  • Resourcefulness in ambiguous environments and sound product judgment
  • Interest in and thoughtfulness about the impacts of AGI

Benefits

Comp & perks
  • Equity
  • Performance-related bonus(es) for eligible employees
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents)
  • Paid medical and caregiver leave (up to 8 weeks)
  • Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays
  • Multiple paid coordinated company office closures throughout the year for focus and recharge
  • Paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Charitable donation matching
  • Wellness stipends
  • Overtime pay for non-exempt employees, consistent with applicable laws