Rackspace

The Manager of Executive Communications plays a key role in elevating the communication efforts of our executives. This role is responsible for developing and executing impactful communication strategies for our top leaders and ensuring their messages are effectively delivered to internal and external audiences. Exceptional PowerPoint skills and storytelling expertise in messaging, events management, production, and directing are critical in creating compelling presentations and managing high-profile events that reflect the vision and values of Rackspace Technology. <h3>Critical Competencies</h3><ul><ul><li>Demonstrates strong ethical behavior, consistently fulfilling commitments to others; maintains confidentiality within the team and beyond.</li><li>Follows established procedures and processes, looking for any opportunities to minimize the risk associated with team projects.</li><li>Works with the team to thoroughly review deliverables and spot key errors, resulting in consistently high quality work.</li><li>Seeks feedback related to own and team performance; deals constructively with criticism.</li><li>Works well under a high degree of pressure, staying calm and composed, which contributes to the team's composure and focus.</li><li>Demonstrates advanced knowledge of the organization's product/service offerings, and helps the team understand the key features and associated benefits across the entire suite.</li></ul></ul><h3>Key Responsibilities</h3><ul><ul><li>Collaborate with our C-suite executives to understand their communication needs, priorities, and key messages.</li><li>Develop and execute comprehensive executive communication strategies that align with organizational goals and enhance the executive's presence and influence.</li><li>Utilize your expert PowerPoint skills to create visually engaging, persuasive, and data-driven presentations for executive use in various settings, including conferences, board meetings, and internal Open Book events (companywide town halls).</li><li>Ensure presentations are designed to convey complex information in a clear and concise manner, capturing the executive's voice and style.</li><li>Working with our events team, take the lead in planning and executing high-profile event content for conferences, trade shows, seminars, customer engagement events and executive retreats.</li><li>Collaborate with cross-functional teams to develop compelling content for executive speeches, articles, blog posts, and other written communications.</li><li>Establish and maintain strong relationships with internal stakeholders, executive teams, and external partners to ensure alignment and consistent messaging across all communications.</li><li>Track and measure the effectiveness of executive communications initiatives, gathering insights to continually improve communication strategies and engagement.</li></ul></ul><h3>Knowledge</h3><ul><ul><li>Excellent communications skills through all media to synthesize complex subjects into key compelling narratives and messages.</li><li>Extensive experience in events content management, production, and directing, preferably overseeing content for corporate events.</li><li>Understands the executives’ function and business strategy.</li><li>Strategic thinking skills across multiple communication disciplines.</li><li>Ability to partner across mix of constituents and organizations.</li><li>Good understanding of the IT industry.</li><li>Ability to advise/work directly with executives.</li></ul></ul><h3>Skills</h3><ul><ul><li>Exceptional proficiency in PowerPoint and Keynote with a keen eye for design, layout, and data visualization.</li><li>Strong strategic thinking and problem-solving abilities, with the capacity to develop creative solutions to complex communication challenges.</li><li>Excellent written and verbal communication skills, with a talent for crafting compelling messages and stories.</li><li>Demonstrated ability to build and maintain relationships with senior executives and stakeholders, exercising a high level of professionalism and confidentiality.</li><li>A proactive, detail-oriented, and organized approach to work, with the ability to manage multiple projects concurrently and deadlines effectively.</li></ul></ul><h3>Experience</h3><ul><ul><li>Bachelor's degree in communications, journalism, public relations, marketing, or a related field (Master's degree preferred).</li><li>8-11 years of experience in executive communications, with a proven track record of supporting C-suite executives in a tech industry environment. </li></ul></ul>#LI-AW2#LI-Hybrid

United States

San Antonio

Executive Communications Manager (Hybrid - San Antonio, TX)

The Financial Analyst III at Rackspace Technology performs highly complex financial analyses on cash flows, operating results, and business plans to determine rates of return, capital/cash flow requirements, etc. Prepares forecasts and analyses on industry and general economic trends. Responsible for budget analysis. Responsible for the department’s budgeting process: plans, develops, prepares, inputs, and maintains the company’s budgets.<b>Location</b>: On-site in San Antonio, TX<h3>Key Responsibilities:</h3><ul><ul><li>Assesses options for improvement on business expenses.</li><li>Prepares profitability analyses.</li><li>Works with Directors and VP's through the development process of each budget and makes recommendations.</li><li>Budgets include monthly, quarterly, and yearly reports which exemplify revenues and expenses.</li><li>Develops/reviews forecasts for accurate and timely cash flow projections, sales projections, expense projections, profitability, headcount, department performance, and direct expenses.</li><li>Takes ownership of projects from start to finish.</li><li>May provide work leadership for less senior analysts and/or has project management responsibilities.</li></ul></ul><h3>Qualifications:</h3><ul><ul><li>Bachelor's degree required in Business, Finance, or a related field.</li><li>5 years of experience in financial planning, analysis, or a related field.</li><li>Advanced technical knowledge of budgeting, financial statements, cash management, and financial analysis processes.</li><li>Advanced understanding of overall financial function and interrelated components. Advanced understanding of business valuation and M&amp;A analysis.</li><li>Ability to create highly complex forecasting models. Must also possess high attention to detail and be capable of performing most complex data analysis for extended periods of time.</li><li>Expert Excel skills are required. Must have advanced presentation skills, and the ability to express the most complex quantitative concepts to non-financial audiences.</li><li>Advanced communication skills, both written and verbal. Excellent organizational skills. Ability to make appropriate decisions considering the relative costs and benefits of potential actions.</li><li>Ability to successfully work and promote inclusiveness in small groups.</li><li>Works under minimal supervision. Provides updates on work performed as needed.</li></ul></ul>#LI-AW1, #LI-Onsite

Financial Analyst III

About the Role:We are looking for a seasoned Senior Machine Learning Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions.<h3>What you will be doing:</h3><ul><ul><li>Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.</li><li>Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.</li><li>Own the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art LLMs.</li><li>Provide technical leadership and mentorship to foster a high-performing engineering team.</li></ul></ul><h3>Requirements:</h3><ul><ul><li>Proven track record in designing and implementing cost-effective and scalable ML inference systems. </li><li>Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib. </li><li>Solid foundation in machine learning algorithms, natural language processing, and statistical modeling. </li><li>Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management. </li><li>Expert-level proficiency in at least one programming language such as Java, Python, or C++.</li><li>Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.</li><li>Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.</li><li>Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).</li><li>Expertise in public cloud services, particularly in GCP and Vertex AI.</li></ul></ul><h3>Must have:</h3><ul><ul><li>Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.</li><li>In-depth understanding of LLM architectures, parameter scaling, and deployment trade-offs.</li><li>Technical degree: Bachelor's degree in Computer Science with a minimum of 8 years of relevant industry experience, or </li><li>A Master's degree in Computer Science with at least 6 years of relevant industry experience. </li><li>A specialization in Machine Learning is preferred. </li></ul></ul>#LI-VM1#Rackspace#LI-Rackspace#LI-USA#LI-Remote<b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Senior Machine Learning Engineer (Inference)

<b>About the Role:</b>We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing batch processing systems, with extensive experience in the Apache Hadoop ecosystem (Map Reduce, Oozie, Hive, Pig, HBase, Storm).  This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference.   This is a remote position, requiring excellent communication skills and the ability to solve complex problems independently and creatively.<b>Work Location: </b>US-Remote<h3>What you will be doing:</h3><ul><ul><li>Develop scalable and robust code for large scale batch processing systems using Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase</li><li>Develop, manage, and maintain batch pipelines supporting Machine Learning workloads</li><li>Leverage GCP for scalable big data processing and storage solutions</li><li>Implementing automation/DevOps best practices for CI/CD, IaC, etc.</li></ul></ul><h3>Requirements:</h3><ul><ul><li>Proficiency in in the Hadoop ecosystem with Map Reduce, Oozie, Hive, Pig, HBase, Storm</li><li>Strong programming skills with Java, Python, and Spark</li><li>Knowledge in public cloud services, particularly in GCP.</li><li>Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes.</li><li>Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.</li><li>Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.</li><li>Proven experience in engineering batch processing systems at scale.</li><li>Hands-on experience in public cloud platforms, particularly GCP. Additional experience with other cloud technologies is advantageous.</li></ul></ul><h3>Must Have:</h3><ul><ul><li>Experience with batch pipelines supporting Machine Learning workloads</li><li>Strong experience in programming language such as Java</li><li>Strong experience in the Apache Hadoop ecosystem</li><li>10+ years of experience in customer-facing software/technology or consulting</li><li>5+ years of experience with “on-premises to cloud” migrations or IT transformations</li><li>Technical degree: Computer Science, Software Engineering or related</li></ul></ul><h3>Good to Have:</h3><ul><ul><li>Familiarity with Terraform</li><li>Familiarity with Python</li><li>5+ years of experience building, and operating solutions built on GCP </li></ul></ul>The following information is required by pay transparency legislation in the following states: CA, CO, HI, NY, and WA. This information applies only to individuals working in these states.  ·       The anticipated starting pay range for Colorado is: $116,100 - $170,280. ·       The anticipated starting pay range for the states of Hawaii and New York (not including NYC) is: $123,600 - $181,280. ·       The anticipated starting pay range for California, New York City and Washington is: $135,300 - $198,440.Unless already included in the posted pay range and based on eligibility, the role may include variable compensation in the form of bonus, commissions, or other discretionary payments. These discretionary payments are based on company and/or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. Information on <a href="https://rackspace.jobs/benefits/" rel="noopener noreferrer nofollow ugc" target="_blank">benefits</a>  offered is here.#LI-MF1 #LI-Remote#LI-VM1#Rackspace#LI-Rackspace#LI-USA#LI-Canada#LI-Remote<b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Senior Big Data Hadoop ML Engineer (GCP)

About the Role:We are looking for a seasoned Principal Machine Learning Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions.<h3>What you will be doing:</h3><ul><ul><li>Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.</li><li>Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.</li><li>Own the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art LLMs.</li><li>Provide technical leadership and mentorship to foster a high-performing engineering team.</li></ul></ul><h3>Requirements:</h3><ul><ul><li>Proven track record in designing and implementing cost-effective and scalable ML inference systems. </li><li>Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib. </li><li>Solid foundation in machine learning algorithms, natural language processing, and statistical modeling. </li><li>Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management. </li><li>Expert-level proficiency in at least one programming language such as Java, Python, or C++.</li><li>Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.</li><li>Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.</li><li>Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).</li><li>Expertise in public cloud services, particularly in GCP and Vertex AI.</li></ul></ul><h3>Must have:</h3><ul><ul><li>Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.</li><li>In-depth understanding of LLM architectures, parameter scaling, and deployment trade-offs.</li><li>Technical degree: Bachelor's degree in Computer Science with a minimum of 10+ years of relevant industry experience, or </li><li>A Master's degree in Computer Science with at least 8+ years of relevant industry experience. </li><li>A specialization in Machine Learning is preferred. </li></ul></ul>#LI-VM1#Rackspace#LI-Rackspace#LI-USA#LI-Remote<b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Principal Machine Learning Engineer (Inference)

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Job Position and Company	Location	Tags	Posted
Executive Communications Manager (Hybrid - San Antonio, TX) at Rackspace	Full Time CISM Manager
Financial Analyst III at Rackspace	Full Time Analyst
Senior Machine Learning Engineer (Inference) at Rackspace	Remote Full Time
Senior Big Data Hadoop ML Engineer (GCP) at Rackspace	Remote Full Time Consulting
Principal Machine Learning Engineer (Inference) at Rackspace	Remote Full Time

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