Utilization Management Nurse Jobs

About the Role OpenAI's ads business is scaling quickly. As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value across the marketplace. You will partner closely with Ads Sales leadership and Ads Product leadership—along with Marketing Science and product and sales teams—to diagnose advertiser performance, define benchmarks, identify growth opportunities, and turn advertiser feedback into product priorities. Your work will shape demand strategy, improve advertiser outcomes, and help OpenAI build for its most valuable advertisers. What You'll Do Demand Health & Measurement Define the North Star metrics, diagnostic framework, and measurement strategy for demand health across the ads system. Build the operating view of demand across spend, active advertisers, retention, budget utilization, delivery, concentration, and mix; identify emerging risks and opportunities. Diagnose changes in demand through cohort analysis, decomposition, experimentation, and causal methods, translating findings into clear actions for Sales and Product leadership. Advertiser Performance & Benchmarks Own the end-to-end view of advertiser outcomes—including delivery, ROAS, conversion performance, retention, and budget efficiency—for individual advertisers and key cohorts. Establish actionable benchmarks by objective, vertical, advertiser size, geography, maturity, and product adoption, with statistically sound peer comparisons. Develop early-warning signals and opportunity scoring that help sales teams surface under-delivery, performance risk, and advertiser growth potential. Set standards for metric definitions, data quality, and interpretation so leaders can separate real marketplace changes from seasonality, selection effects, and measurement artifacts. Insights, Adoption & Advertiser Feedback Partner with Marketing Science, Sales, and Product to translate analysis into credible advertiser-fac

To oversee and manage the day-to-day operations of the R&D Yard, ensuring efficient handling, storage, inspection, movement, and documentation of import and export materials. The role is responsible for optimizing yard utilization, maintaining inventory accuracy, ensuring regulatory compliance, and driving continuous improvement initiatives to support business objectives Source: Adani Group | Job ID: 54895

TERRITORY : The territory covers Northern California (from CA/OR border to Santa Barbara). Ideal candidate must reside in the territory. The District Manager, Women’s Health Sales is a leadership position responsible for growing Natera’s Women’s Health Prenatal and Hereditary Cancer Products within an assigned geography through the results of a Team of Clinical Field Specialists (CFS) and Account Sales Representatives (ASR). PRIMARY RESPONSIBILITIES: Achieves and exceeds sales goals for assigned territories. Achieves sales goals by developing territory and account action plans to close competitive accounts, cross selling of all Women’s Health Products and increasing physician utilization. Develops expert knowledge of Natera’s Women’s Health products and UX services. Employs Sales processes such as Janek to conduct effective sales calls. Knows the customer business needs (internal vs. external) and acts accordingly; anticipating customer needs, and giving high priority to customer satisfaction and customer service. Plans, schedules, and organizes work to optimize time and resources, Prioritizes important and urgent demands. Is a Team Player, shows positive attitude; helpful and supportive of others; communicates professionally and clearly; accepts and incorporates feedback; honest and direct. Have the ability to assess skill strengths and weaknesses of individuals and teams in order to determine what actions are appropriate to build and/or improve the needed skills. Identifies, recruits and hires talent. Coaches and develops CFSs and ASRs Addresses and manages personnel and performance issues. Collaborates with Strategic Account Managers, Medical Sales Liaisons and Medical Directors to close new business. Follows Natera Company Policies and models Natera Core Values. Enforces Compliance -Sunshine ACT, Stark, Anti-Kickback (Entertainment, Business Meals, Education of Healthcare Providers). Ensures expense reporting is co

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. Responsibilities: As part of the manufacturing team, you will be - Responsible for analyzing machines utilization, improving and ensuring quality output. Maintain overall production efficiencies of assigned workstations Support a safe work environment by following safety procedures and promptly reporting identified hazards. Work alongside Equipment engineers to strengthen and maintain equipment availability to meet stringent product requirements. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​ Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. Requirements: A relevant Nitec/Higher Nitec/Diploma in Engineering OR equivalent working experience Experience in semiconductor manufacturing will be an added advantage. Self-motivated, results-oriented, and looking for growth Proficient in Microsoft Office Comfortable with doing 12-hr shift (including night shift). Ability to apply baseline digital fluency a

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the industry's largest AI fleets — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around Capacity. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery

About the Team DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps DoorDash teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-thr

Workplace Strategy and Operations Manager Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe's Workplace team is responsible for delivering welcoming, functional, and beautiful environments worldwide. We ensure that Stripe's real estate portfolio evolves to stay aligned with our mission and the needs of our users, while also ensuring efficient space utilization. As part of the team, you'll help scale Stripe's future workspaces, collaborating with stakeholders across the company. What you'll do Reporting to the Head of Workplace, the Strategy and Operations Manager will play a key role in driving cross-functional initiatives across our core Workplace pillars (Real Estate Strategy and Transactions, Environments (design and construction), and Experience (workplace services and programs), alongside high-priority 'interstitial' projects. You'll contribute to projects and programs that shape the future of Workplace at Stripe. With the ability to influence from a strategic and administrative perspective, you'll be instrumental in executing key cross-org initiatives and helping us move from strategy to execution while ensuring operational excellence. Responsibilities Assist the Head of Workplace in defining SOKRs and ensuring all pillars and cross-functional partners are aligned with the team's roadmap Lead cross-functional projects that don't fit neatly into one department. Support M&A integrations Identify bottlenecks in our current workflows and design scalable processes to remove them

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 Engineering Department at Micron is committed to driving innovation and excellence. We are seeking ambitious and hardworking individuals to join our team. They will contribute to our mission of transforming how the world uses information to enrich life for all. As an OCT Photo Mfg. Alignment (MA) Engineer/Sr Engineer at Micron, you will ensure flawless operation and improvement of manufacturing tools and processes. Located in Taiwan, this role offers an outstanding chance to work in a dynamic and collaborative environment. Your contributions will be key to achieving our world-class standards. Responsibilities: Improve tool utilization to meet outstanding (BIC) standards by accomplishing processes that eliminate low utilization tools and enable cost savings through cold/warm shutdowns. Generate globally aligned warm shutdown procedures that ensure safety and seamless recovery to production. Standardize practices and best-known methods (BKMs) across process areas by setting up global alignment teams and crafting a library of BKMs for equipment and process engineers. Align and integrate Preventive Maintenance (PM) procedures across the Micron network, ensuring accessibility and efficiency through a standardized system. Deploy and sustain SEAL system BKMs globally, ensuring critical processes are standardized and maintained. Minimum Qualifications: A Bachelor's degree in Engineering or a related field, or equivalent experience.

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 Responsibilities: As part of the manufacturing team, you will be - Responsible for analyzing machines utilization, improving and ensuring quality output. Maintain overall production efficiencies of assigned workstations Support a safe work environment by following safety procedures and promptly reporting identified hazards. Work alongside Equipment engineers to strengthen and maintain equipment availability to meet stringent product requirements. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​ Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. Requirements: A relevant Nitec/Higher Nitec/Diploma in Engineering OR equivalent working experience Experience in semiconductor manufacturing will be an added advantage. Self-motivated, results-oriented, and looking for growth Proficient in Microsoft Offi

The Team Lead Admin will oversee and manage the administrative operations at the Chapar, District-Dhubri (Assam)site, ensuring seamless support for the business unit’s operational and strategic goals. This role is pivotal in maintaining efficient site operations, optimizing resource utilization, and fostering a conducive work environment. The position aligns with Adani Power’s mission to harness technology and innovation to transform India into a power-surplus nation by ensuring robust administrative support for its thermal power operations. Source: Adani Group | Job ID: 50779

About the Team OpenAI's Industrial Compute organization is responsible for planning, delivering, operating, and optimizing the compute infrastructure that powers frontier AI. As OpenAI scales toward becoming an intelligence utility, Industrial Compute coordinates a complex lifecycle spanning infrastructure strategy, capacity planning, provider partnerships, fleet operations, product demand, and financial planning. The organization manages one of the largest and fastest-growing compute footprints in the world, where decisions around capacity allocation, deployment readiness, utilization, reliability, and product demand directly impact product availability, customer experience, and business performance. The Capacity Systems team builds the software platforms, data systems, and automation frameworks that connect these functions into a shared operating model. We transform fragmented planning workflows into scalable systems that enable teams to understand what compute was contracted, delivered, healthy, allocated, and ultimately converted into business and research outcomes. About the Role We are seeking a Capacity Systems Software Engineer to build the platforms and services that power Industrial Compute planning, forecasting, optimization, and operational decision-making. In this role, you will design and develop software systems that connect infrastructure delivery, fleet health, capacity allocation, demand forecasting, deployment readiness, financial planning, and product consumption into a unified system of record. Your work will help OpenAI make better decisions about where compute should be deployed, how capacity should be allocated, and how infrastructure investments translate into business value. You will partner closely with Capacity Planning, Fleet Operations, Infrastructure Engineering, Product, Finance, Supply Chain, and Strategic Sourcing teams to replace spreadsheet-driven workflows with scalable software systems that enable visibility, automation, and dec

Opportunity Overview: We are seeking a Healthcare Analytics Analyst to join our Analytics team. In this role, you will conduct analyses that drive our strategy, inform product performance, and provide insights critical to the development of new clinical intervention strategies and product enhancements. You'll partner closely with cross-functional teams and clients to optimize auto-decisioning performance and deliver increased value. This is an opportunity to directly impact company growth and assist patients at a critical time in their healthcare journey. What you’ll do: Research, build, execute and optimize auto-decisioning strategy for new client implementations Work with multiple types of healthcare data to build and maintain analytical and reporting solutions to support strategy and program decision making Identify optimization opportunities based on analyses to improve auto-decisioning performance and drive increased value for clients Perform quantitative analysis of health care cost, operational performance and clinical outcomes using claims and authorization data Track cost, utilization and industry trends to inform stakeholders of solution performance and provide insights around opportunities to optimize clinical value for patients, providers and payers Prepare information for clients, build reports, data visualization and self-service solutions for internal and external stakeholders Develop, review, and analyze detailed data sets leveraged for client reporting/analytics Collaborate with IPA team on rule refinement and metric tracking What you’ll need: 2+ years of experience working in an analyst role 1+ years experience building and/or maintaining dashboards and self-service business intelligence tools such as Tableau or PowerBI Demonstrated expertise in conducting complex analyses and identifying opportunities to drive enhanced value Proficiency with statistical analysis tools (such as SQL, R, or SAS) to extract insights from complex healthcare data sets,

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 Staff 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 Own the voice inference roadmap end-to-end — define and execute the technical strategy for optimizing STT, TTS, and speech-to-speech models across Together's infrastructure, with a clear-eyed view of where the field is heading and how to position the platform ahead of it. Drive best-in-class inference performance — architect and implement systems targeting leading

About the Team Our team analyzes inference stack performance across the application, model, and fleet layers to identify bottlenecks and drive faster, cheaper inference. We combine systems profiling, benchmarking, and analysis to understand where time and cost are spent, then turn that understanding into performance optimizations and models that project performance and capacity needs for future launches. About the Role In this role, you will model inference performance across application, model, and fleet layers with higher fidelity. You will build cost-to-serve estimates from microbenchmarks and create tools that help cross-functional teams reason about latency, capacity, utilization, and cost tradeoffs. In this role, you will Build and refine performance models that translate microbenchmark results into cost-to-serve estimates. Analyze inference workloads end to end across applications, models, and fleet infrastructure. Enhance tooling to identify bottlenecks across layers for latency and throughput. Partner with other teams to turn performance insights into concrete improvements and project how future changes affect inference. You might thrive in this role if you: Enjoy reasoning from first principles about distributed systems, model inference, and hardware efficiency. Are comfortable working across abstraction layers, from application behavior to kernels, accelerators, networking, and fleet scheduling. Have deep expertise with performance profiling, benchmarking, analysis, and optimization. Enjoy collaborating with engineering and research teams to improve real production systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve o

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. Responsibilities: As part of the manufacturing team, you will be - Responsible for analyzing machines utilization, improving and ensuring quality output. Maintain overall production efficiencies of assigned workstations Support a safe work environment by following safety procedures and promptly reporting identified hazards. Work alongside Equipment engineers to strengthen and maintain equipment availability to meet stringent product requirements. Requirements: A relevant Diploma in Engineering OR equivalent working experience Self-motivated, results-oriented, and looking for growth Proficient in Microsoft Office Comfortable with doing 12-hr shift About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day,