Utilization Management Nurse Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description As Package Characterization Lab Manager within Advanced Packaging Technology Development (APTD), you will lead a high-performing team of shift engineers and technicians delivering package characterization and failure analysis (FA) support for leading-edge technology development in advanced packaging. You will provide technical direction, own lab operational excellence and workforce development, ensuring timely, high‑quality results that directly impact critical APTD technical decisions. This role partners closely with Micron's global engineering labs, subject-matter experts and external vendors to expand lab capability, efficiency and ensure forward-looking readiness for new technologies. Responsibilities and Tasks Lab Management, Compliance & Audits Lead Package Characterization lab operations to meet key performance metrics, cycle-time and safety standards. Plan and optimize FA lab equipment, space, and budget to support current and future needs with high utilization efficiency. Coordinate timely equipment calibration (external vendors), repairs, and spare parts procurement to ensure sustained equipment uptime. Evaluate and introduce new FA tool models and capabilities in partnershi

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an OS / K8s Systems Engineer at Baseten, you’ll build the automation and systems that turn raw GPU hardware into production-ready compute. From provisioning to orchestration, you’ll own the software layer that makes our infrastructure reproducible, scalable, and reliable across data centers. This is a senior, hands-on role focused on building systems not operating them. You’ll work close to the metal designing OS images, building provisioning pipelines, and automating cluster bring-up from scratch. Your work will define how quickly we can turn new capacity into usable compute. EXAMPLE INITIATIVES Zero-to-cluster automation Build workflows that take new hardware from unprovisioned to fully operational cluster. Provisioning systems Design PXE-based or equivalent systems for imaging and lifecycle management. Reproducible infrastructure — Ensure clusters deploy consistently across data centers. RESPONSIBILITIES Own the end-to-end automation of cluster bring-up and lifecycle management. Build and maintain OS images, provisioning systems, and configuration pipelines. Deploy and operate cluster orchestration platforms (Kubernetes, Slurm, or similar). Design systems for reproducibility across sites and hardware generations. Automate upgrades, rollouts, and failure recovery. Optimize system performance, including GPU utilization and networking. Partner with hardware and network teams to validate and improve system b

About the Role As a Director, Compute & Infrastructure FP&A, you will own and drive the monthly forecasting process for the Compute & Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering. You will play a critical role in planning and forecasting the company’s largest and most complex cost center ( Compute & Infrastructure ). You will collaborate cross-functionally to develop long-range infrastructure investment plans, evaluate build vs. buy decisions, and ensure capital is deployed efficiently to support rapid growth. You will also provide strategic financial guidance through scenario modeling, ROI analysis, and performance tracking, enabling leadership to make high-stakes decisions under uncertainty. What You’ll Do Own compute financial planning & Forecasting. Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments. Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning) Coordinate closely with Corporate FP&A on timelines and process Present insights on a monthly basis to senior management. Drive infrastructure investment decisions. Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs. Develop frameworks for investment trade-offs to guide executive decision making. Build scalable tooling & reporting. Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics. Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer). Drive forecasting accuracy & accountability. Lead budget vs. actual analysis for compute and infrastructure spend. Identify key cost drivers (utilization, pricing, efficiency gains) and reduce forecast variance. Support close & financial reporting. Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs C

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Machine Learning Engineer specializing in synthetic data, you will play a pivotal role in developing the synthetic data pipeline that is crucial to Cohere’s advanced language models. Your responsibilities will encompass the end-to-end management of synthetic data, including maintaining and optimizing the synthetic data pipeline, data analysis and generation, as well as conducting data ablations and model evaluation to gauge data quality. You will work with diverse web data and code data and transform them using generative models to improve token efficiency and model quality. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization. Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a

P-1285 About This Role As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API.. You’ll bridge research advances and production demands, ensuring high throughput, low latency, and robust scaling. Your work will encompass the full GenAI inference stack: kernels, runtimes, orchestration, memory, and integration with frameworks and orchestration systems. What You Will Do Own and drive the architecture, design, and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference Partner closely with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine Lead the end-to-end optimization for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators Define and guide standards to build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations Architect scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads Ensure reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning Collaborate cross-functionally on Integrating with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead Drive cross-team collaboration: with platform engineers, cloud infrastructure, and security/compliance teams Represent the team externally through benchmarks, whitepapers, and open-source contributions What We Look For BS/MS/PhD in Computer Science, or a related field Strong software engineering background (6+ years or equivalent) in performance-critical systems Proven track record of owning complex system components and driving architectural decisions end-to-end Deep understa

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About Ad Cloud Serving Services Team At Appier's Ad Cloud Team Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, and ensure the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation . Responsibilities Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure. Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem. Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture. Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs. Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integr

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We are seeking talented distributed systems engineers who are passionate about building innovative solutions for application deployment. Your mission will be to enhance the capabilities of Replit Infrastructure, optimize performance across global regions, and drive efficiency while delivering an exceptional user experience. If you have a strong foundation in software development, a deep understanding of cloud technologies, and a track record of delivering high-quality code, we want to hear from you. In this role you will: Expand Replit's cloud infrastructure offerings: Launch new cloud products to be used by Replit Agent to build complex apps. Collaborate with cross-functional teams to design and implement these features, empowering developers with a comprehensive suite of tools to build and deploy their applications efficiently. Enhance reliability and scalability: Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with the SRE team to ensure high availability and minimal downtime. Enable our customers to seamlessly scale their applications to meet the demands of their growing user base. Improve utilization of cloud infrastructure: Analyze our infrastructure costs and identify opportunities for optimization. Implement strategies to reduce cloud expenses without compromising performance or reliability. This could involve techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your efforts will directly contribute to the financial efficiency of our cloud services. Required skills and experience: Distributed systems: Track record of working with platform-as-a-service, distributed storage, o

This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades Supporting research workflows with service frameworks and deployment systems Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching Much more! About the Role As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission to advance AI capabilities responsibly. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems. Interface with researchers and product teams to understand workload requirements Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service You might thrive in this role if you: Have experience with hyperscale compute systems Possess strong programming skills Have experience working in public clouds (especially Azure) Have experience working in Kubernetes Execution focused mentality paired with a rigorous focus on user requirements As a bonus, have an understanding of AI/ML workloads About OpenAI OpenAI is an AI resea

Role Overview We are looking for a senior Sales Planning & Distribution Strategy leader to drive data-led planning and distribution strategy for a large-scale field sales organisation. The role will focus on network planning, manpower optimisation, territory design, productivity improvement and capability building. Key Responsbilities • Lead Sales Planning and Distribution Strategy for a large field organisation. • Develop manpower and network plans based on business potential, productivity and market requirements. • Design and optimise territories, locations and field-force deployment. • Use business data and analytics to identify productivity gaps and improve sales output. • Develop frameworks for workforce planning, capacity planning and productivity management. • Build and strengthen sales capabilities, processes and planning mechanisms. • Work closely with business, sales and analytics teams to drive data-backed decisions. • Identify opportunities to improve the utilisation of the existing distribution network and merchant relationships across multiple products. • Build scalable planning models that can support future business growth. • Lead and mentor a small team of 1–2 data/analytics resources supporting planning and execution. WHAT WE ARE LOOKING FOR • 10+ years of overall experience, preferably in Sales Strategy, Distribution Strategy, Sales Planning, Network Planning or Sales Transformation. • Experience working with large-scale field sales or distribution teams. • Strong understanding of manpower planning, territory planning and distribution/network optimisation. • Strong analytical and problem-solving skills with the ability to work with business data and translate insights into actionable plans. • Experience designing planning frameworks and processes rather than only executing existing plans. • Strong stakeholder management and communication skills. • Demonstrated experience in capability building and improving sales productivity. • Experience in

Role purpose The Head of AI and Technology is accountable for the direction, delivery and adoption of AI across Teneo Management Consulting and for ensuring that its broader technology environment supports the needs of the business. The role sets the AI strategy and investment priorities, leads the AI Engineering team, owns the strategy and priorities for Management Consulting-specific technology, software, data, knowledge-management workflows and subscriptions, and acts as the principal Management Consulting stakeholder for Teneo IT on centrally managed technology, data platforms and services. The role connects Management Consulting's priorities with Teneo's central AI team, Teneo IT and other control and enabling functions. It translates business needs into Management Consulting-owned AI and technology initiatives or clear requirements for central teams, moves high-value AI and software solutions from experimentation into reliable use, and gives consultants the skills and support required to use approved AI tools effectively. It is primarily an internal capability role. The role is accountable for the allocation and utilisation of the AI Engineering team, including support for selected client engagements, and for the Management Consulting-specific AI and broader technology within its remit. Teneo IT and Teneo's central AI team remain accountable for the centrally managed services and capabilities, while Management Consulting engagement leaders retain accountability for client relationships, overall engagement delivery and revenue targets. Key responsibilities AI strategy and priorities Own the Management Consulting AI strategy, roadmap and priorities, aligned with the business strategy and Teneo-wide AI direction. Consult Teneo's central AI team on new solutions to reuse firm-wide capabilities, avoid duplication and manage enterprise dependencies. Identify and assess AI opportunities across consulting delivery, business development, proposition development, intern

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. What you will do Trade Strategy & Market Development: Define and execute the commercial strategy for designated trade lanes with full P&L awareness. Monitor market dynamics, competitor moves, and rate environments to inform strategy. Identify and develop new trade corridors and volume opportunities in close collaboration with Sales. Contribute to annual budget planning, volume forecasting, and capacity commitments for the trade. Drive the digital evolution of our sea freight product together with various stakeholders. Customer & Stakeholder Management: Build and maintain senior-level relationships with key shippers and carrier partners. Lead commercial negotiations on contracts, agreements, and service commitments. Pricing & Revenue Management: Set and manage freight rate levels, surcharges, and contract structures in alignment with the pricing function. Analyse contribution margins across customer segments and drive yield improvement initiatives. Engage in tender processes for major accounts. Capacity & Space Management: Manage and grow our trade volume for your trades. Manage vessel space allocation across designated trade lanes, balancing utilisation targets with revenue yield objectives. Work with network and operations teams to input into capacity deployment decisions. Cross-functional Collaboration: Liaise with operations, network planning, finance, legal, and product teams to ensure service reliability and contract compliance. Required Skills and Experience 7–10+ years of progressive experience in contai

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. We are looking for a Certinia PSA Solution Architect to join our Revenue Excellence team in the UK. In this role, you will serve as a trusted advisor to clients and internal stakeholders, helping organisations improve how they manage professional services delivery, resource planning, project financials, forecasting, and operational reporting through Certinia Professional Services Automation (PSA) and Salesforce. This is an exciting opportunity for someone who enjoys combining hands-on solution delivery with strategic consulting. You will lead customer engagements from discovery through deployment, identify operational challenges, document current-state and future-state processes, and design scalable Certinia PSA solutions that support efficient project delivery, accurate resource utilisation, improved financial visibility, and consistent adoption across teams. Responsibilities: Lead end-to-end Certinia PSA implementation, enhancement, and optimisation projects, ensuring solutions align with client goals, delivery best practices, and long-term scalability. Manage customer engagements from discovery and requirements gathering through solution design, configuration, testing, deployment, adoption, and post-go-live support. Facilitate workshops, stakeholder interviews, process reviews, and design sessions to understand business needs across r

Let us describe the opportunity we offer At Polestar, we believe that the transition to sustainable mobility is not just about the cars we build, but also about how we manage, deploy and optimise them. We are currently looking for an experienced Internal Fleet Coordinator for Belgium & Luxembourg. In this key role, you will be responsible for the operational and strategic management of our internal fleet of approximately 150 vehicles, with an annual turnover of 3 to 4 replacement cycles. Based in the Remarketing Department, you will work closely daily with Sales, Marketing, PR, Events, Finance, Operations and external partners. This gives you a unique position within the organisation, with a direct impact on cost control, vehicle availability and the Polestar customer experience. What you’ll do Fleet & Car Park Management · Management of a balanced car park structure (In Fleet, Active Fleet and Display Fleet). · Overseeing the deployment of demonstration, job and service vehicles in accordance with internal guidelines. · Managing vehicle inflows and outflows based on age, mileage and business needs. · Organising and monitoring periodic fleet inventories. Vehicle Lifecycle Management · End-to-end coordination of vehicles throughout their entire lifecycle. · Managing administration, registration, insurance and documentation. · Monitoring of vehicle statuses, maintenance, damage, recalls and fines. · Proactively preventing operational disruptions and downtime. Planning & Vehicle Availability · Centralised planning of test vehicles, events, vehicle changes, maintenance and transport. · Maximising vehicle availability and utilisation rates. · Coordination with internal stakeholders regarding fleet requirements. · Coordination of transport and logistics movements. Stakeholder & Compliance Management · Monitoring fleet processes and internal compliance. · Central point of contact for internal departments and external suppliers. · Ensuring correct vehicle check-in and check

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job description We are seeking a Wafer Manufacturing Section Manager to lead high-volume semiconductor frontend production in a fast-paced, multinational environment. This role requires strong manufacturing execution, team leadership, and process understanding, with the ability to collaborate closely with Engineering teams to drive yield and productivity. We are not looking for a pure process engineer — this role owns manufacturing execution with strong process collaboration. Job Responsibilities 🔹 Production Management Lead daily wafer fabrication operations to meet output, cycle time, and delivery targets Manage and develop production teams in cleanroom environment Monitor and drive manufacturing KPIs (WIP, cycle time, OEE, tool utilization) Ensure shift execution discipline and production stability 🔹 Process & Engineering Interface Work closely with Process Engineering (PE), Equipment Engineering (EE), and Yield teams Support process control, excursion handling, and root cause analysis Drive continuous improvement on yield, defect reduction, and productivity Support new process qualification and technology transfer 🔹 Operational Excellence Lead continuous improvement initiatives (Lean / Six Sigma concepts preferred) Optimize fab capacity and resour

Req ID: CSQ327R55 Location: UAE You will be based in the UAE and should be willing to relocate there or remain there. Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering , you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. The impact you will have: Drive regional performance targets including billable utilisation, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality st