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)
A customer-facing, strategic role supporting the customer success team to help customers achieve long-term success with the platform through onboarding, engagement, and retention.
Compensation
The salary range for this role is $65,000 - $90,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits package.
Responsibilities
Partner with Customer Success Managers to onboard customers, aligning on key goals and ensuring successful implementation
Develop deep knowledge of the EliseAI platform to guide customers effectively and provide insight-driven recommendations
Proactively engage with customers to drive product adoption, satisfaction, and long-term retention
Monitor usage data, feedback, and health metrics using tools like PlanHat, Zendesk, and Slack to identify risks and recommend action plans
Host and support onboarding webinars, customer training sessions, and other scaled engagement initiatives
Build EliseAI’s economics research and market insights function, transforming proprietary data into benchmarks and narratives to establish the company as a leading authority on housing.
Compensation
The salary range for this role is $150,000 - $250,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits & perks package. Exact compensation is determined based on a number of factors including experience, skill level, location and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our Recruiting Team during the hiring process.
Responsibilities
Establish EliseAI as the leading authority on rental housing through original research and market insights using proprietary data
Define and amplify EliseAI’s voice on housing economics across media, industry events, research, and customer channels
Partner with marketing to create high-impact content that strengthens the brand and engages customers
Partner with product and data teams to understand product data, build reliable data pipelines, and create scalable reporting
Expand the reach of EliseAI’s research through partnerships with publications and academic institutions
Requirements
Quantitative degree or equivalent practical experience
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