Lead the design, execution, and interpretation of experiments to evaluate user migration initiatives, growth marketing strategies, and campaign performance for PlayStation.
Compensation
$178,900—$268,300 USD
Responsibilities
Lead the design, execution, and interpretation of A/B tests and quasi‑experiments
Partner with cross‑functional teams to embed experimentation into development cycles
Serve as a thought leader on hypothesis development, metric selection, test structure, and results communication
Apply advanced causal inference methods when experimentation isn’t feasible
Help define and contribute to centralized experimentation frameworks, tools, and documentation
Requirements
Bachelor’s degree or equivalent
Nice to have: Master’s or PhD in Statistics, Economics, or Econometrics
Nice to have: interest in video games, gaming platforms, or player behavior
Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives, growth marketing strategies, and campaign performance.
Compensation
$178,900—$268,300 USD
Responsibilities
Lead the design, execution, and interpretation of A/B tests and quasi-experiments
Partner with cross-functional teams to embed experimentation into development cycles
Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication
Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization
Help define and contribute to centralized experimentation frameworks, tools, and documentation
Requirements
Bachelor’s degree or equivalent
Nice to have: Master’s or PhD in Statistics, Economics, or Econometrics
Nice to have: Interest in video games, gaming platforms, or player behavior
Work alongside traders, quant researchers and other developers to design and build reliable, timely and accurate data and analytics to trading and research teams. Manage data pipelines handling terabytes of exchange traffic and perform transformations in real-time.
Responsibilities
Design and build reliable, timely and accurate data and analytics for trading and research teams
Manage data pipelines handling terabytes of exchange traffic
Perform transformations in real-time
Perform analysis ranging from nanosecond-level investigations on low-latency trading systems to research
Research pricing algorithms and trading strategies
This individual will lead material and equipment planning for SpaceX’s liquefied natural gas (LNG) facilities, across the full asset lifecycle.
Responsibilities
Own the integrated material plan for assigned LNG facilities, translating engineering bills of materials, material take-offs, and construction schedules into required-on-site dates for equipment package and bulk material
Create and maintain bills of materials and master data in the MRP system, execute purchase orders and planning actions, and manage revisions as engineering designs mature
Plan logistics, receiving, warehousing, and preservation of equipment and materials, including heavy-haul transport
Develop commissioning and capital spares strategies from manufacturer recommended spare parts lists
Plan and manage inventory of critical spares, MRO materials, and consumables, including materials for planned maintenance
Lead material and equipment planning for SpaceX’s liquefied natural gas (LNG) facilities, ensuring capital equipment, bulk materials, and critical spares are on site when required to support project schedules and plant operation.
Responsibilities
Own the integrated material plan for assigned LNG facilities
Create and maintain bills of materials and master data in the MRP system
Execute purchase orders and planning actions
Plan logistics, receiving, warehousing, and preservation of equipment and materials
Develop commissioning and capital spares strategies
Requirements
Advanced degree
Bachelor’s degree
Nice to have: Experience planning materials for LNG, gas processing, midstream, or power generation projects
Nice to have: Technical knowledge of natural gas and cryogenic equipment
Nice to have: Proficiency with ERP and MRP systems
Lead the Singapore hub of SpaceXSI’s Safety Center of Excellence, managing global safety operations, policy enforcement, and AI-driven automation across APAC.
Responsibilities
Manages all Safety operations in Singapore and across Asia Pacific (APAC) coverage
Serves as the primary point of contact between Singapore, other X Centers of Excellence, and the X Strategic Response Team
Partners with the Austin hub to maintain Safety operations coverage 24/7/365
Leads the site’s shift from scaled operations agents to analysts focused on automation-first appeals, model evaluations and audits
Acts as the escalation point for APAC, owning complex and high-risk cases and decisions for the team
Requirements
Bachelor’s degree in business, technology, data science, or a related field
Master of Business Administration (MBA) or advanced degree highly preferred
Nice to have: leading and growing a service center
Partner Manager responsible for supporting the growth and performance of an Enterprise partnership in the Americas through data analysis, commercial strategy, and relationship management.
Compensation
The range for Chicago-metro area is $94,000 - 110,000. In addition to a competitive base salary, roles are eligible to be considered for an annual bonus.
Responsibilities
Support the growth and performance of an Enterprise partnership in the Americas
Analyze complex partner, customer, product, and financial data to identify trends and diagnose performance opportunities
Turn data into a compelling story and build partner‑facing narratives
Develop executive‑level business reviews and partner presentations
Identify drivers behind partner performance and develop recommendations for campaigns and product improvements
Requirements
Bachelor’s degree in business, data analytics, or a related quantitative or business field
Join an Options Market Making desk as a Trading Analyst to analyze trading data, prototype strategies with traders, and build tools that help the desk make better decisions.
Compensation
Competitive compensation in a high-performance environment
Responsibilities
Digging into trading data, surfacing patterns, and producing analysis the desk can act on
Working directly with traders to prototype ideas, test hypotheses, and iterate on strategies
Building scripts, dashboards, and automated workflows that make the desk smarter over time
Framing trading problems in ways that get the most out of our tooling
Spotting operational improvements, data anomalies, and strategy refinements — and bringing them to the desk
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