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Crusoe Cloud Network Engineering Team is responsible for designing, building, and operating the global edge, backbone, and data center network for High-Performance Compute (HPC) Clusters with GPUs. The ideal individual will be highly motivated, self-directed, and have a desire to work on cutting-edge technologies related to the environment.
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The Cash App Data Science (DS) organization is growing and we are looking for a Data Scientist to join the team, embedded within our Sales and Account Management domain. Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc.
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The successful candidate will identify and validate cancer targets, have strong assay development skills to map out the mechanism of action (MOA), and generate high-quality data to support in-house pipelines.
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To open up development in crypto and the next generation of applications, accessing onchain compute needs to be as easy and reliable as accessing compute in the cloud. Have experience in customer success, customer support, or account management, especially in B2B SaaS or cloud infrastructure.
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Plan and implement post go-live operational support structure for Oracle cloud environment to provide day-to-day user support, recurring update & enhancement management, master data management, reporting & analytics support, integration management, system health KPI tracking, etc.
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Experience with data products on Google Cloud Platform, Kubernetes, or Airflow. Reporting to the Engineering Manager of Data Infrastructure, you will work on strategy that is foundational to the company and product.
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Strong data management and research skills. Meet with FinTech founders, venture capitalists, private equity firms, and traditional finance executives in order to understand strategy, product roadmaps, acquisition interests, and capital raising / liquidity needs.
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You'll have peers from both top tech companies (e.g. Cash App, Google, Twitter, Uber) and other successful startups (e.g. Affirm, AfterPay, MemSQL). Optimizing and managing our tech stack, including Redshift, dbt, and BI tools, to ensure data accuracy and accessibility.
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Required: 12+ years in infrastructure architecture, management, security, and related specialties - Proven experience in cloud engineering and operations roles, with a deep understanding of cloud platforms such as Azure and AWS. Solid background configuring SaaS platforms to be secure and reliable.
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As the first Product Marketing Manager at Spice AI, you will play a crucial role in driving go-to-market for the Spice.ai open-source project and the Spice.ai data and AI platform. Spice AI is also building the Spice.ai Cloud Platform; building blocks for data and AI-driven applications, including managed, cloud-scale Spice.ai OSS. The Cloud Platform enables developers to compose high-performance SQL query, machine learning training and inferencing, in a single, interconnected AI backend-as-a-service.
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Design, organize and refine data storage strategies that reduce development friction for our tech organization. Our team comes from top tech, legal, and investing backgrounds including Waymo, Google, Amazon, Uber, Quora, Blizzard, Norton Rose, Warburg Pincus, Bain, and McKinsey.
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8-10 years of successful hands-on experience in the management of development activities including research, prospect tracking, cultivation, and solicitation at large nonprofit organizations.
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5 to 7 years of experience in product management in advertising/ad tech, data analytics, and/or business intelligence/reporting. Option 1: Bachelor's degree in computer science, engineering, or related area and 5 years' experience in product management.
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Develop our shared infrastructure ecosystem (edge services, CI/CD agents, cloud account management etc) To succeed in this role, you’ll need to be comfortable with cloud-infrastructure, software-development, and engaging directly with technical-stakeholders to understand their needs.
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Deep collaboration with government sales, engineering and program management teams to build a detailed understanding of cash management, sales planning, operating costs, and capital spending.
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