Utilization Management Nurse Jobs

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role You will be a valuable and developing member of the Service Operations team at DoorDash Labs. You will build on your existing technical skills to perform diagnostic, maintenance, and repair work to keep our robot fleet and electric bicycles operating at peak performance, supporting our fleet utilization goals. You will work closely with Senior Service Technicians and your manager to expand your troubleshooting skills, gain deeper familiarity with our systems, and progressively take on more complex repairs. This is an on-site role with expectations of 100% in-office presence in Fremont, CA, San Jose, CA, or Sunnyvale, CA. You’re excited about this opportunity because you will… Perform standard and intermediate Service Technician tasks with growing independence, including service and upkeep of robotic systems and electric bicycles. Repair common faults in robotic platforms, modular components, electric bicycle drivetrains, and support vehicles using established troubleshooting procedures. Assist with complex or unusual faults alongside senior or lead technicians to learn advanced diagnostic methods for both robotic systems and e-bikes. Complete repairs on electrical systems, control units, battery packs, and hardware under guidance, with opportunities to develop toward independent advanced repairs. Use and interpret technical manuals, schematics, and diagnostic flowcharts to guide your work, applying these resources to both robot and electric bicycle service tasks. Document all diagnostic steps, repair actions, and component failures in the service management system to maintain accurate records and support fleet readiness. Learn from and collaborate with experienced technicians,

We are looking to speak to candidates who are based in Seoul for our hybrid working model. About the role MongoDB Engagement Managers are quota-carrying Professional Services Sales roles. Engagement managers utilize customer-facing sales, technical, consulting, and commercial experience to scope, negotiate and close Professional Services opportunities to accelerate and de-risk the adoption of MongoDB by our customers. As an Engagement Manager, you will be a key leader within the PS team and work cross-functionally with the Sales, Professional Services, and Customer Success organizations to drive professional services sales. Here are a few informative blogs about the Engagement Management role: https://www.mongodb.com/blog/post/engagement-management-mongodb-meet-lalitesh-pal https://www.mongodb.com/blog/post/how-engagement-managers-help-customers-succeed What you will be doing Understand customers’ overall portfolio of applications and datasets, IT and business priorities and success measures to adapt, develop and design specific digital transformation approaches involving MongoDB technologies Help transform companies by translating their use-cases, pains, and needs into scoped projects and statements of work Partner with a best-in-class sales organization and work effectively as a part of a larger team to develop account strategies and plans for the successful adoption, growth, and utilization of MongoDB Have a solid sense of ownership, driving all deals or technical scopings from inception to closure Manage the Professional Services pipeline for bookings and revenue forecasts for your region Expertly articulate the business value of professional services, talking knowledgeably and credibly about service delivery issues, challenges, strategies, approaches, and mitigating risks Work with our practice team to propagate internal skills and experience through the development of repeatable assets (estimates, proposals, SOWs, templates, tools, case studies etc.) Wor

We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. Responsibilities Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads Manage and optimize Slurm-based HPC environments for distributed training of large language models Develop robust APIs and orchestration systems for both training pipelines and inference services Implement resource scheduling and job management systems across heterogeneous compute environments Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands Qualifications Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization Experience with deploying and managing distributed training systems at scale Deep understanding of container orchestration and distributed systems architecture High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) Experience managing GPU clusters and optimizing compute resource utilization Required Skills Expert-level Kubernetes administration and YAML configuration management Proficiency with Slurm job scheduling, resource mana

We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters Responsibilities Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads Manage and optimize Slurm-based HPC environments for distributed training of large language models Develop robust APIs and orchestration systems for both training pipelines and inference services Implement resource scheduling and job management systems across heterogeneous compute environments Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands Qualifications Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization Experience with deploying and managing distributed training systems at scale Deep understanding of container orchestration and distributed systems architecture High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) Experience managing GPU clusters and optimizing compute resource utilization Required Skills Expert-level Kubernetes administration and YAML configuration management Proficiency with Slurm job scheduling, resource manag

About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Senior ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro — pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges — streaming audio, tokenization, real-time latency budgets — that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech. Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities Optimize inference performance for voice models (STT, TTS, speech-to-speech) — targeting best-in-class TTFB, throughput, and GPU utilization across our curated model set. Productionize voice models on serverless and dedicated endpoints, including batching strategies, streaming inference, and memory management tailored to audio workloads. Build and maintain a voice model

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role You will be a valuable and developing member of the Service Operations team at DoorDash Labs. You will build on your existing technical skills to perform diagnostic, maintenance, and repair work to keep our robot fleet and electric bicycles operating at peak performance, supporting our fleet utilization goals. You will work closely with Senior Service Technicians and your manager to expand your troubleshooting skills, gain deeper familiarity with our systems, and progressively take on more complex repairs. This is an on-site role with expectations of 100% in-office presence in Mesa, AZ. This position is available on the PM shift (2:30 PM – 11:00 PM), five days per week, with at least one weekend day . You’re excited about this opportunity because you will… Perform standard and intermediate Service Technician tasks with growing independence, including service and upkeep of robotic systems and electric bicycles. Repair common faults in robotic platforms, modular components, electric bicycle drivetrains, and support vehicles using established troubleshooting procedures. Assist with complex or unusual faults alongside senior or lead technicians to learn advanced diagnostic methods for both robotic systems and e-bikes. Complete repairs on electrical systems, control units, battery packs, and hardware under guidance, with opportunities to develop toward independent advanced repairs. Use and interpret technical manuals, schematics, and diagnostic flowcharts to guide your work, applying these resources to both robot and electric bicycle service tasks. Document all diagnostic steps, repair actions, and component failures in the service management system to maintain accurate

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role: The Solutions Engineering team at Sentry is responsible for helping our largest customers successfully embed Sentry into their applications and workflows, from integrating our SDK to making sure alerts and issues make it to the right place at the right time. Solutions Engineers will be interfacing with customers to ensure optimal implementation and utilization ensuring that: Developers can effectively identify and resolve slowdowns and errors in their applications. Development teams increase developer productivity and customer satisfaction. In this role you will Understand customers' pain points and objectives and translate those into implementation and onboarding plans to meet those objectives and demonstrate business value. Develop best practices, educational offerings, and content around error and performance management, open-source, or the Sentry product (ex: “how-to” articles and/or videos on specific functionality of the product). Act as a trusted advisor and subject-matter expert for customers to assist with instrumenting software engineering and monitoring best practices Provide workshop-level interaction to customers in order to drive the maturity of use and broader adoption. Work cross-functionally (internally) to provide feedback to the product and development teams and align Sentry's product roadmap with improving time to value-delivered. You’ll love this job if you Enjoy talking about technology and interfacing with engineers and engineering leaders. Appreciate working in a dynamic environment, on a variety of projects with customers from lots of different industries. Love flexing your creative b

OVERVIEW The Inside Sales, Sales Support is the pivotal link between sales, purchasing, and logistics, responsible for ensuring all customer orders are accurately processed, fulfilled efficiently, and delivered on time. This role requires exceptional organizational skills, a customer-first mindset, and strong proficiency in utilizing our Enterprise Resource Planning (ERP) system for all operational processes. Core Duties and Responsibilities The duties are divided into three key areas, with an emphasis on system proficiency: I. Order & Billing Management (ERP Focus) Order Entry & Data Integrity: Accurately process and enter high volumes of customer sales orders (POs, change orders) directly into the ERP system, ensuring zero tolerance for data errors in pricing, product codes, and customer information. Billing & Finance Support: Generate, audit, and dispatch customer invoices, working closely with the accounting team to resolve discrepancies and manage payment terms. System Utilization: Serve as a key resource for ERP system usage within the operations department, ensuring proper process flow from order initiation to billing closure. II. Purchasing & Logistics Coordination Procurement: Initiate and track purchase orders for all necessary items, managing inventory levels and vendor relationships to maintain optimal stock and supply. Lead Time Management: Proactively monitor vendor production schedules and shipping timelines to determine accurate item lead times ; communicate any potential delays or schedule changes immediately to the sales team and customers. Logistical Oversight: Coordinate with internal warehouse/logistics teams and external carriers to schedule timely deliveries and coordinate pickups/swaps as needed. III. Customer Relations & Follow-Up Customer Communication: Act as the primary point of contact for all order-related inquiries, including questions on status, lead times, del

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training Performance Engineer, you’ll drive efficiency improvements across our distributed training stack. You’ll analyze large-scale training runs, identify utilization gaps, and design optimizations that push the boundaries of throughput and uptime. This role blends deep systems understanding with practical performance engineering — analyzing GPU kernel performance, collective communication throughput, investigating I/O bottlenecks, and sharding our models so we can train them at massive scale. You’ll help ensure that our clusters are running at peak performance, enabling OpenAI to train larger, more capable models with the same compute budget. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Profil

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 Responsibility Lead long-term loading, cross-site capacity, workforce, and qualification readiness planning; perform scenario modeling and risk assessment for business changes, ramps, network shifts, and demand fluctuations. Drive CapEx, OpEx, budget, and cost-efficiency planning through financial modeling, variance analysis, and collaboration with Finance and Operations teams. Improve labor productivity and operational performance through KPI management and analytics, including LPI, OT%, utilization, bottlenecks, and equipment effectiveness. Ensure qualification readiness by aligning capacity, hardware, software, systems, and resources to support successful qualification execution. Develop and standardize planning methodologies, data governance frameworks, reporting processes, and management dashboards across Global Quality Operations. Utilize SQL, Python, Power BI, Tableau, and automation technologies to build predictive planning models, automate recurring processes, and generate actionable business insights. Apply company-approved AI and automation technologies, including Microsoft 365 Copilot, Azure OpenAI-based solutions, Power Automate, UiPath, Genie Lab, and other enterprise AI platforms to improve forecasting, reporting, decision support, workflow efficiency, and knowledge management.

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. ** This role requires Board Certification in a Orthopedic Spine OR Neurosurgery. ** Position Summary Aetna, a CVS Health Company, a Fortune 6 company, is one of the oldest and largest national insurers. That experience gives us a unique opportunity to help transform health care. We believe that a better care system is more transparent and consumer-focused, and it recognizes physicians for their clinical quality and effective use of health care resources. **This is a remote based (work at home) based anywhere in the US.** Aetna, a CVS Health Company, has an exciting opportunity for a Medical Director (Spine) that can be remote based, work from home. The Medical Director (Spine) will be a Subject Matter Expert (SME) with a background in Orthopedic Spine OR Neurosurgery, including post-graduate direct patient care experience specifically. Expands Aetna's medical management programs to address member needs across the continuum of care. Supports the Medical Management staff ensuring timely and consistent responses to members and providers. Leads all aspects of utilization review/quality assurance, directing case management Provides clinical expertise and business direction in support of medical management programs through participation in clinical team activities. Acts as lead business and clinical liaiso

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Location Rockville, Maryland centered territory. Position is field-based, customer-facing, and home-office based. Position Summary The Executive Territory Account Manager's role is to ensure achievement of territory sales objectives and growth targets for the assigned territory in line with the Company's mission; to develop and implement sales plans through both strategic and tactical activities; to accurately forecast sales projections; and to provide regular feedback on the status of specific sales opportunities, the market and competitor activities. Responsibilities Development of territory and account-specific sales plans. Implementation/execution of sales plan to meet assigned sales quotas. Field-based activities at or greater than 50% is expected. Adjustment of sales plan in accordance with changing company and customer needs. Engage in accurate forecasting and sales pipeline management activities. Proactive utilization and maintenance of CRM database. Actively manage existing accounts/customer relationships and contin

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. The Opportunity We are seeking an experienced logistics leader to advance end-to-end logistics, customs compliance, warehouse governance, transportation performance, and third-party logistics partnerships within a complex global manufacturing environment. The role combines strategic leadership with hands-on execution and is suited to a professional with deep Malaysia logistics and regulatory expertise. Key Responsibilities · Lead inbound, outbound, cross-border, warehouse, repair, return, and service logistics operations. · Drive inventory accuracy, material traceability, warehouse controls, and scalable standard operating procedures. · Provide subject-matter expertise in Malaysia Customs requirements, including LMW, FIZ, bonded warehousing, duty exemptions, and import/export declarations. · Govern freight forwarders, customs brokers, carriers, and 3PL providers through clear SLAs, KPIs, and performance reviews. · Strengthen audit readiness, documentation controls, regulatory compliance, and logistics risk management. · Improve cost, cycle time, service, space utilization, and operational resilience through analytics, digitization, and continuous improvement. · Leverage artificial intelligence and advanced analytics to define and improve processes, automate workflows, strengthen decision-making, explore emerging capabilities, and build practical AI proficiency across logistics and warehouse operations. · Partner across supply chain, trade

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. Join Micron’s Planning Manufacturing team, where you’ll contribute significantly to preparing and growing our next-generation memory fabs! You will engage with Manufacturing, R&D, and Supply Chain to convert complex data into clear decisions that support high volume production. If you enjoy addressing real problems that directly improve factory performance, this team delivers! In the role of the AI Enablement Industrial Engineer, you will support production readiness at Micron’s high-volume memory fab in Boise, Idaho. Tasks include crafting and deploying AI tools that translate manufacturing changes into capacity insights, building scalable AI planning tools, and providing data-driven recommendations to senior leaders. You will integrate advanced AI analytics and automation to improve capacity management. These results will increase forecast accuracy, accelerate decisions, and optimize resource use for a successful ramp and ongoing operations. Responsibilities: Drive equipment availability and utilization to improve fab capacity Develop and implement AI tools, model capacity impacts of new tools, process changes, and roadmap decisions Build and automate planning models through generative AI tools and Python, SQL, R, Excel, or VBA Build and maintain site capacity and utilization models to optimize deployed capital Communicate recommendations and improvement proposals through dashboards and executive presentations Min

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. The Senior Manager Customer Success – Healthcare will own and execute CLEAR’s healthcare customer success strategy, driving long-term value, adoption, and expansion across our partner ecosystem. What you’ll do: Own and drive CLEAR’s customer success strategy across healthcare partners, ensuring strong adoption, retention, and expansion of CLEAR’s identity solution Own and execute customer success strategies that drive adoption, retention, expansion, and measurable customer outcomes Establish and deepen executive-level relationships across healthcare organizations, positioning CLEAR as a trusted, strategic partner Partner cross-functionally with Business Development, Product, Technology, and Operations to shape and deliver scalable, high-impact customer experiences Lead end-to-end lifecycle management across complex healthcare implementations, from solution design and contracting through execution and ongoing optimization How you’ll measure success: Performance against renewals, contract expansion, and revenue growth across healthcare partners Product adoption, utilization, and successful rollout of new healthcare use cases Partner satisfaction, retention, and executive-level engagement Operational excellence across implementations, including on-time delivery and scalability What you're great at: 6+ years of experience in customer success, partnerships, consulting, or related roles, with significant experience in healthcare Proven track record of driving measurable customer and revenue outcomes Deep understanding of the hea