Technical Program Manager (TPM), Infrastructure
Cursor3 days ago
Location
San Francisco
Type
Full Time
Salary
USD 180,000 – 280,000
Level
Senior
Role
Technical Program Manager
Posted
Jun 1, 2026
Full TimeSenior
The role
Summary
Cursor is seeking a Technical Program Manager for Infrastructure to drive cost of goods sold (COGS) attribution, R&D spend efficiency, and GPU resource allocation. You'll partner with ML, Infrastructure, and Finance teams to transform complex cost and capacity data into actionable business decisions while managing cross-functional programs that impact engineering prioritization and operational efficiency. This role requires 5+ years of technical program management experience with deep expertise in cloud infrastructure costs, capacity planning, and financial attribution frameworks.
What you'll do
Own COGS and R&D Attribution Programs: Design and implement comprehensive cost attribution frameworks across inference, compute, and infrastructure workloads. Partner with Finance and Data teams to connect spend to specific products, features, and business metrics. Develop actionable dashboards and reporting mechanisms that enable engineering leaders and executives to make data-driven decisions on resource allocation and investment prioritization.
Drive GPU and Infrastructure Resource Allocation: Build and maintain frameworks for capacity planning and allocation decisions spanning first-party models, third-party inference services, and experimentation workloads. Conduct bi-weekly or recurring allocation reviews with ML and Infrastructure leadership. Translate high-level business priorities into concrete, implementable resource allocation plans that balance innovation velocity with operational efficiency.
Manage Cross-Functional Technical Programs: Own the full lifecycle of infrastructure programs including cost optimization, capacity planning, reliability improvements, and platform migrations. Establish clear operating rhythms for each initiative alongside designated sponsors. Track program progress against defined metrics, identify and escalate technical or organizational blockers, and ensure measurable outcomes are delivered on schedule.
Partner Strategically with Engineering Leadership: Serve as a strategic thought partner to senior engineering, ML, and Finance leaders on critical resource tradeoffs, investment prioritization, and operational improvements. Synthesize complex technical data, infrastructure metrics, and financial information into clear, actionable recommendations that align with company priorities and business outcomes.
Execute Hands-On Analysis and Program Delivery: Take direct ownership of building financial models, querying infrastructure data systems, creating analytical dashboards, and conducting deep-dive cost analyses. Develop executive briefings, write comprehensive program documentation, build forecasting models, and drive execution across all phases of program delivery without waiting for direction.
What we look for
Technical
Cloud Infrastructure Cost AnalysisDemonstrated experience analyzing, modeling, and optimizing cloud infrastructure costs across multiple dimensions including compute, storage, networking, and third-party services. Expertise in cost attribution methodologies, chargeback models, and infrastructure spend optimization.
GPU and High-Performance Compute Capacity PlanningHands-on experience with GPU cluster management, capacity planning for machine learning workloads, and resource allocation frameworks. Understanding of GPU utilization metrics, constraint-driven allocation decisions, and infrastructure scaling models.
Financial Data Modeling and AnalyticsStrong capability in building financial models, cost attribution frameworks, and utilization dashboards. Experience working with SQL, data visualization tools, and business intelligence platforms to translate raw infrastructure data into actionable financial insights.
Cross-Functional Program ManagementProven experience managing complex technical programs across Engineering, Operations, Finance, and Product organizations. Ability to drive execution and alignment without direct authority through influence, stakeholder management, and clear communication.
Education
Bachelor's Degree in Computer Science, Engineering, or Related FieldFoundational technical knowledge from formal education in computer science, electrical engineering, systems engineering, or equivalent discipline. This provides the technical foundation to understand infrastructure architecture and cost drivers.
Demonstrated Financial and Analytical CompetencyStrong background in quantitative analysis, financial modeling, economics, or operations research. Can be demonstrated through formal education, certifications, or hands-on experience with financial planning and analysis tools.
Experience
Technical Program Management in Highly Technical Environments5+ years of experience in Technical Program Management, Infrastructure Program Management, or equivalent roles within companies with significant engineering complexity, infrastructure challenges, or high-scale compute operations.
Cost and Capacity Planning Program LeadershipDirect experience owning or leading programs related to COGS attribution, R&D spend efficiency, infrastructure cost management, or capacity planning at scale. Track record of turning complex cost data into business impact.
Collaboration with Senior Technical LeadersDemonstrated ability to build credibility and trust with VP-level and senior engineering leadership through preparation, reliability, directness, and strategic thinking. Experience serving as a thought partner on technical strategy and resource allocation decisions.
Execution-Oriented Program DeliveryProven track record of delivering measurable outcomes on ambitious technical programs. Experience with bias toward action, high ownership mentality, and ability to execute without extensive process or ceremony.
Skills
Required skills
Cost Attribution and Financial ModelingExpert-level ability to design cost allocation models, build financial attribution frameworks, and create dashboards that connect infrastructure spend to business value. Understanding of chargeback mechanics, transfer pricing, and financial accountability systems.
Data Analysis and SQLStrong proficiency in SQL for querying infrastructure and financial data. Ability to extract, transform, and analyze large datasets to identify cost trends, efficiency opportunities, and resource allocation patterns.
Infrastructure Architecture UnderstandingSolid grasp of cloud infrastructure architecture, GPU computing, distributed systems concepts, and how infrastructure costs scale. Familiarity with inference serving, model deployment, and ML operations infrastructure.
Stakeholder Management and Influence Without AuthorityExceptional ability to build alignment across engineering, finance, and executive stakeholders through clear communication, data-driven arguments, and trusted partnerships. Skill in managing competing priorities and driving consensus.
Program Management and ExecutionMastery of program scoping, roadmap development, milestone tracking, and cross-functional coordination. Ability to establish operating cadences, monitor progress against metrics, and drive delivery of measurable outcomes.
Business Systems ThinkingDemonstrated ability to connect infrastructure decisions to business outcomes. Systems-level thinking that maps technical decisions to product strategy, financial health, and competitive positioning.
Nice to have
AI/ML Infrastructure ExperienceBackground in managing infrastructure for machine learning platforms, inference serving at scale, or AI model deployment operations. Understanding of transformer model inference costs, optimization techniques, and ML-specific capacity planning.
Startup or High-Growth Tech ExperienceExperience in startup or hypergrowth environments where infrastructure costs and resource constraints are critical business drivers. Familiarity with rapid scaling challenges and innovative solutions to resource allocation problems.
Advanced Analytics and Visualization ToolsProficiency with business intelligence platforms (Tableau, Looker, Redash), spreadsheet modeling in Excel or Google Sheets, and Python/R for advanced analysis. Ability to create compelling data visualizations for executive audiences.
GCP or Cloud Provider Infrastructure KnowledgeDirect experience with Google Cloud Platform, AWS, or Azure infrastructure, including cost optimization tools, capacity planning services, and infrastructure monitoring platforms. Understanding of cloud provider pricing models and optimization strategies.
Economics or Operations Research BackgroundFormal training or demonstrated expertise in microeconomics, operations research, or optimization theory. Ability to frame infrastructure problems as optimization problems and develop quantitative solutions.
Compensation & benefits
Salary
USD 180,000 – 280,000 (annual)
Stock options
Available
Benefits
Mission-Driven Culture
Work on Cursor's core mission to automate coding and revolutionize how professional developers build software with AI. Be part of a talented, flat organization that values truth-seeking, creative problem-solving, and shipping impactful products.
High-Impact Strategic Role
Own programs that directly influence engineering prioritization and company resource allocation. Have direct influence on how billions of dollars in infrastructure investment are deployed across the organization.
Access to Senior Leadership
Work as a strategic thought partner with VP-level engineering, ML, and Finance leaders. Collaborate directly with executive sponsors on company-critical initiatives and resource decisions.
Intellectual Stimulation
Tackle complex optimization problems spanning infrastructure architecture, financial modeling, and organizational systems. Work in an environment that encourages spirited debate and creative approaches to hard technical problems.
Talent-Dense Organization
Collaborate with exceptional engineers, ML experts, and operations leaders. Fast learning environment with high-caliber peers across all disciplines.
Small Team and Flat Structure
Operate in a flat organizational structure where your impact isn't diluted by layers. Direct access to decision-makers and ability to drive outcomes without navigating heavy bureaucracy.
Interview process
- 1Initial Screening Call — 30-minute conversation with recruiter to discuss your background in technical program management, infrastructure cost experience, and alignment with Cursor's mission and culture. This call assesses baseline fit and communication style.
- 2Technical Program Management Deep Dive — 60-90 minute interview with the hiring manager (likely VP Infrastructure or similar) to explore your past programs, approach to cross-functional execution, and examples of driving decisions without direct authority. Expect detailed questions about specific cost attribution or capacity planning programs you've led.
- 3Financial and Analytical Assessment — 60-minute interview focused on your analytical capabilities, financial modeling experience, and approach to translating complex infrastructure data into business decisions. May include a take-home analytical exercise or live case study discussion.
- 4Stakeholder Management and Influence Round — Conversation with 1-2 senior engineers or finance leaders who would be key collaborators. Assess your ability to build credibility, handle competing priorities, and serve as a thought partner to senior technical leadership.
- 5Executive or Sponsor Round — Final interview with an executive sponsor or senior engineering leader to discuss strategic vision, alignment with company priorities, and how you'd approach the highest-impact programs. Opportunity to ask questions about company direction.
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San Francisco, California, United StatesFounded 2021cursor.com
Tech Stack
Languages
SQLPython
Frameworks
Program Management MethodologiesCost Attribution Frameworks
Databases
Data Warehouses and OLAP SystemsTime-Series Databases
Tools
Business Intelligence and Visualization PlatformsSpreadsheet and Modeling ToolsCloud Infrastructure Management ConsolesProject and Program Management Tools
Other
Infrastructure Monitoring and ObservabilityFinancial Planning and Analysis (FP&A) Processes