The role will be embedded within a core business area (growth, product, AI and automation, or strategic partnerships) to own the analytical function end-to-end.
Locations (4)
New York, New York, United States
Palo Alto, California, United States
Chicago, Illinois, United States
Toronto, Ontario, Canada
Responsibilities
Define the right problems and understand what business question an analysis is answering
Define metrics, build reports, run analyses, design experiments, and surface data insights
Bring recommendations to counterparts in product, growth, finance or operations
The Data Scientist will be embedded within a core business area (growth marketing, product delevop, AI and automation, or strategic partnerships) owning the analytical function end-to-end.
Locations (4)
New York City, New York, United States
Palo Alto, California, United States
Chicago, Illinois, United States
Toronto, Ontario, Canada
Responsibilities
Define the right problems and understand what business question it's answering
Define metrics, build reports, run analyses, design experiments
Surface data insights that move team's key metrics
The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
Responsibilities
Define the right problems and metrics for business units
Senior Software Engineer, Crusoe Managed Data Transfer
Build the Managed Data Transfer control plane, including API, scheduler, and job state for petabyte-scale data movement across clouds.
Compensation
Compensation will be paid in the range of up to $170,000 - $205,000 + Bonus. Restricted Stock Units are included in all offers.
Responsibilities
Design and build the data-transfer API (create, list, get, cancel) with a provider-neutral model for sources and destinations
Build the scheduler and state machine that split a bucket listing into units of work, place them on regional worker pools, and track progress, retries and resume across failures
Ensure correctness at scale with end-to-end checksum verification and clear error handling
Implement secure access to customer buckets with short-lived, least-privilege credentials integrated with Crusoe IAM and audit logging
Ship the CLI and Terraform and Console experiences for creating and monitoring transfers
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
Drive the transformation of Google’s internal operational processes, tools, and practices to enable partners to operate the cloud autonomously while maintaining service parity and Google rollout velocity.
Drive the transformation of Google’s internal operational processes, tools, and practices to enable partners to operate the cloud autonomously while maintaining service parity and Google rollout velocity.
Ensure that SRE principles (SLOs, alerting, runbooks, diagnostics) are built directly into the shipped software so external infrastructure operators can operate it reliably without Google's intervention.
Redesign incident response, monitoring, and debugging paradigms for universes where Google SREs do not have ambient access.
Oversee support tiers, including extended workforce who act as Level 3 support or manage canonical pre-production/staging environments.
Manage reliability for a massive, globally distributed 'fleet of fleets.' This includes managing lifecycle operations (Day 0 turnup, Day 1 install, Day 2 repairs) in addition to software reliability.
Requirements
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
Nice to have: AI/GenAI product integration
Nice to have: operational automation
Nice to have: managing a distributed team of software engineers
Scope, plan, and manage large programs, including management of associated financial and human resources, quality of software development and features, risks, schedules, communication plans, and deliverables.
Provide management with forecasts of project deliverables and detailed status updates.
Present your team's analyses, recommendations, and approaches to stakeholders and executive management.
Initiate new software development programs, identify and deliver software features that drive performance, scale, functionality, security, quality, and efficiency, based on prioritized needs.
Be a catalyst for program support and delivery.
Requirements
Bachelor's degree in a technical field
Nice to have: Master's degree in Computer Science or Engineering
Nice to have: 8 years of experience managing cross‑functional or cross‑team projects
Nice to have: 8 years of technical program management or engineering experience in large‑scale distributed systems, data center software, or cloud infrastructure
Senior Director role leading Infrastructure and Sovereign Environments within Google Cloud SRE, focusing on reliability, scalability, and globally distributed systems.
Create, design & lead innovative programs, software, & analytics that drive improvements in the reliability, scalability, efficiency, & velocity of new platform introductions & existing hardware, out machine management systems, & our node software.
Work in close partnership with product leads across multiple areas, on technologies up & down Google's tall & deep stack to design & help build fast, reliable and durable production systems.
Manage reliability for a massive, globally distributed 'fleet of fleets.' This includes managing lifecycle operations (Day 0 turnup, Day 1 install, Day 2 repairs) in addition to software reliability.
Own, innovate and create programs, software solutions, process innovations, and analytics that drive improvements in the availability, scalability, latency, and efficiency of Google’s technical Infrastructure and Google Cloud products.
Architect observability frameworks that provide operational health signals back to Google or empower air-gapped operators without leaking sovereign data.
Requirements
Bachelor’s degree in Computer Science, related technical field or equivalent practical experience
Technical Solutions Engineer Manager, Infrastructure, Compute, Google Cloud
Lead a team of individuals; set and communicate individual and team priorities that support organizational goals.
Meet regularly with individuals to discuss performance and development, and provide feedback and coaching.
File issue reports against product, documentation, and procedures by documenting desired behavior and/or steps to reproduce, and driving bugs to resolution.
Suggest code-level resolutions for complex product bugs by leveraging relevant tools and effective communication with all stakeholders internally and externally.
Resolve technical incidents and escalations by performing analysis using relevant tools (e.g., SQL, R, Python) and leveraging custom data infrastructure or data models.
Requirements
Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
Nice to have: Cloud Accelerators troubleshooting (GPU, TPU)
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