4,956 Programme jobs in the United States

About the job Cloud Programme Manager

This Cloud Programme Manager oversees a team that Designs, plans, and integrates cloud computing and virtualization systems.

The PM provides specific, detailed information for Cloud services selection (AWS, GCP, and Azure), software selection, implementation techniques, application & data migration techniques and tools for the most efficient solution to meet business needs, including present and future capacity requirements.

Works closely with team to develop and conduct testing of cloud and virtualization systems.

Maintains technical expertise relevant industry standards and in cloud computing and virtualization technologies such as cloud service provider architecture, design, and configuration; cloud deployment models including public, community, private, and hybrid; cloud service delivery models including infrastructure-, platform-, and software-as-a-service; automation; hypervisors; containers; virtual compute, storage, and networks; virtual infrastructure management; self-provisioning; and scaling.

Ideal candidate will be expected to:

• Oversee all contract activities and ensure overall technical, cost, and schedule performance of the contract and related task orders ensuring customer satisfaction through complete status reporting, dialog and planning.
• Manage relationships with the client.
• Oversee risk management across the contract and all task orders.
• Resolve any contract performance issues.
• Generate presentations and reports to convey contract progress and status to Customer and Executive Management.

Career Renew is recruiting for one of its clients a Technical Programme Manager - Crypto - this is a fully-remote role for US-based candidates.

the pioneer in automated, on-chain economic security systems, empowers crypto protocols by optimizing risk management and capital efficiency while protecting user funds. We leverage cutting-edge EVM simulations to analyze protocol dynamics and offer actionable insights. Our platform, trusted by key protocols like Aave, GMX, dYdX, Venus, and Jupiter , secures billions of dollars in assets globally.

We're seeking an accomplished Technical Program Manager (TPM) to lead strategic initiatives and drive excellence in decentralized finance innovation.

Responsibilities:

• Oversee the development and deployment of Chaos Oracles, ensuring robust and reliable data feeds that meet industry standards.
• Collaborate with engineering, product, and external partners to define project scope and deliverables aligned with business objectives.
• Drive cross-functional team efforts , managing timelines, resources, and stakeholder communications to achieve project milestones.
• Implement quality assurance measures to maintain the integrity and accuracy of data provided by Chaos Oracles.
• Identify and manage risks , developing contingency plans to address challenges in project execution.
• Continuously evaluate and enhance processes , contributing to the refinement and evolution of our Chaos Oracles service.
• Facilitate team meetings and cross-departmental discussions to ensure continuous alignment and collaboration.

• 5+ years of experience in technical program management, project management , or a similar role in the technology sector.
• Solid understanding of blockchain technologies and experience in the DeFi space.
• Proven track record of successfully managing and delivering complex projects.
• Strong ability to translate strategic goals into actionable plans.
• Exceptional problem-solving skills and the capacity to handle multiple projects simultaneously.
• Excellent interpersonal and leadership abilities, with a focus on team dynamics and collaboration.

• Familiarity with Ethereum and Solana ecosystems and their associated technical stacks.
• Experience with performance optimization and data integrity assurance .
• Previous experience working with decentralized finance projects and a demonstrable passion for blockchain technology.
• Experience in managing stakeholder expectations and building strong, collaborative relationships.
• Based in United States with the ability to work remotely or from our Brooklyn office in NYC.

• Flexible hybrid work environment
• Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays
• 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents
• FSA or HSA (pending on selected health insurance)
• Thoughtful Parental Leave Policy
• Corporate wellness programs with OneMedical, Teladoc, Talkspace, EAP
• Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development
• Pre-tax Commuter Benefits
• $120,000 - $150,000 USD compensation and equity aligned with growth and merit.

• Data Exploration and Visualization: Learn to clean, transform, and explore large datasets, uncovering patterns and insights using tools like Python (Pandas, Matplotlib, Seaborn) and R.
• Statistical Modeling: Develop a strong understanding of statistical concepts and apply them to build predictive models, perform hypothesis testing, and interpret results.
• Machine Learning: Get hands-on experience with various machine learning algorithms (e.g., regression, classification, clustering) using libraries such as Scikit-learn and TensorFlow/PyTorch.
• Big Data Technologies: Gain exposure to big data platforms and tools (e.g., Spark, Hadoop) for processing and analyzing massive datasets.
• Business Problem Solving: Apply data science techniques to solve real-world business challenges, such as customer segmentation, predictive maintenance, or recommendation systems.
• Communication and Collaboration: Develop effective communication skills to present findings and insights to both technical and non-technical audiences.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Economics, or a related quantitative field.
• Strong foundation in mathematics, statistics, and programming (Python or R preferred).
• Familiarity with data manipulation and analysis libraries.
• Enthusiasm for learning new technologies and methodologies in data science.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to work effectively in a virtual team environment.
• Demonstrated ability to work independently and manage time effectively.
• Prior internship or project experience in data science is a plus but not required.

• Assist in data collection, cleaning, and preparation for analytical projects.
• Perform exploratory data analysis (EDA) to uncover insights and trends.
• Develop and implement statistical models and machine learning algorithms under supervision.
• Utilize programming languages such as Python or R for data analysis and modeling.
• Create compelling data visualizations to communicate findings to technical and non-technical audiences.
• Collaborate with senior data scientists and project teams on various data science initiatives.
• Learn and apply best practices in data management, modeling, and interpretation.
• Participate in regular training sessions and workshops to enhance technical and soft skills.
• Contribute to the development of analytical reports and presentations.
• Engage in continuous learning and stay updated with the latest advancements in data science.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundation in statistical concepts and machine learning principles.
• Proficiency in programming languages such as Python or R.
• Experience with data manipulation libraries (e.g., Pandas, dplyr).
• Familiarity with SQL for database querying.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication abilities.
• Ability to work effectively in a team environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• Must be eligible to work in the US and able to commit to the full duration of the programme.