Utilization Management Nurse Jobs

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. The ideal candidate should Have 6+ years of experience in software development and operating distributed systems Proficiency in Python, Go, or a similar language Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual process (“allergic to ops work”). We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Expectations Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products This includes, but is not limited to, contributing to open-source projects, or engineering software-based

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is seeking a highly skilled and experienced AI Compiler Engineer to spearhead the efforts in developing and optimizing graph compilers tailored to cutting-edge AI and ML workloads. You will collaborate with hardware architects, and AI researchers to enhance performance, optimize computation graphs, and enable efficient model deployment on EnCharge’s Inference Accelerators. Responsibilities Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization. Work closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges. Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR). Implement parsing, semantic analysis, and IR generation for deep learning frameworks. Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers. Provide leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations. Qual

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. LEAD. STRATEGIZE. TRANSFORM. JOIN US AS A PROFESSIONAL SERVICES PRACTICE MANAGER! Are you ready to own your impact at the forefront of the data revolution ? As a Services Practice Manager , you’ll be a key driver in transforming businesses through cutting-edge cloud data solutions . You’ll collaborate with top-tier clients, strategize with elite sales teams, and lead groundbreaking professional service engagements —all while working with the best minds in the industry! This role is completely remote and can be based anywhere in the Eastern Timezone. WHY THIS ROLE? Be a Market Leader: Own and execute a strategic vision for Professional Services. Drive Meaningful Change: Work with clients to unlock the power of data and fuel digital transformations. Lead from the Front: Manage high-impact projects, ensure seamless delivery, and drive revenue growth. Collaborate with the Best: Work cross-functionally with top industry experts to shape the future of cloud data solutions. Crush Your Goals: Meet and exceed bookings, utilization, and consumption targets while delivering exceptional customer experiences . WHAT YOU’LL DO: Spearhead services sales execution and project delivery success for key accounts. Engage C-level executives to create and execute services roadmaps that drive real

We are looking for a quantitative Risk Manager to join our global exchange team, with a primary focus on the models: you will own the design, calibration, and validation of the margin, pricing, and liquidation frameworks that our FCM and clearing businesses run on. Alongside that, you will take part in the daily risk monitoring, escalation, and reporting that the whole team carries. You will be contributing to the building of a fast-growth trading platform with innovative, multi-asset products bridging traditional finance (TradFi) and digital markets. For all roles, we look for people who are passionate about financial market innovation, equipped with energy, act as owners, and have exemplary work ethics. Responsibilities Own margin methodology across the group, including SPAN, VaR, and portfolio-margining approaches, and benchmark our models against those used by the clearing houses and exchanges we face. Develop, implement, and validate derivatives pricing models for new and existing products across various asset classes (e.g., equities, commodities, futures, perpetuals, options). Backtest margin coverage and document model performance, assumptions, and limitations to a standard that withstands regulatory and audit review. Build and maintain the data pipelines and automated reporting behind the risk models, working in SQL, Python, and relational databases. Monitor and analyze real-time and historical portfolio risk, including exposure, leverage, margin utilization, concentration, and liquidation. Design optimal automated liquidation logic and algorithms to balance market risk with market impact during extreme volatility. Perform scenario analysis and stress testing across a range of market conditions. Provide risk input into product onboarding, listing reviews, and regular risk parameter reviews: haircuts, margin levels, liquidation thresholds, index pricing, funding rates, and position limi

We’re looking for someone to join the Datadog Procurement team and help expand the Strategic Sourcing group. Make an impact by being a trusted analyst in several buying categories and continue to prove the value that Strategic Sourcing brings to the organization. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Leverage AI tools (e.g., Claude, ChatGPT) to enhance market research, accelerate data analysis, and improve efficiency in sourcing workflows Identify opportunities to incorporate automation and AI into procurement processes to drive scalability and smarter decision-making Support and execute sourcing strategies directed by sourcing managers with a specific focus in G&A categories (People Team, Finance, Legal, Real Estate) Develop strong relationships with stakeholders and assist teams to independently evaluate their best practices and adopt a value-driven mindset when purchasing on behalf of the organization Lead and execute Sourcing events (RFx) Negotiate pricing and other business terms with vendors on net-new purchases and renewals Manage the renewals list for designated categories and ensure accuracy of information and proactive communication Analyze spend data and identify potential cost savings opportunities Create pricing models based on vendor proposals to quantify various buying scenarios Build license forecast models and utilization analyses for enterprise software renewals to help uncover usage and savings opportunities Collaboratively align with adjacent functions like FP&A on utilization and forecast models Operate effectively in ambiguous or evolving problem spaces, helping bring structure, clarity, and forward momentum to loosely defined sourcing initiatives Monitor market trends that impact spend categories and

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description: The Ads Marketplace team is a strategic growth engine for Reddit Ads. Our mission is to democratize high-performance advertising by enabling brands to achieve world-class results with minimal friction. To achieve this, we need an incredibly robust, scalable, and state-of-the-art Machine Learning infrastructure. The Ads ML Platform team is at the core of this mission, tasked with building the foundation that powers all of our content understanding, ad targeting, and ad ranking models. We are empowering our ML engineers and data scientists to move faster and build smarter. The Role: As the Staff Product Manager for the Ads ML Platform, you will hold significant ownership over the infrastructure and tools that make our ads marketplace intelligent. You will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports the most modern ML architectures. You will be the bridge between complex ML systems and business outcomes. Whether it's integrating generative AI to increase developer productivity, establishing unified model-serving infrastructure, or optimizing GPU utilization, your work will directly accelerate how quickly and effectively we can ship highly-performant ad products. If you are passionate about the intersection of platform engineering and state-of-the-art ML research, this is the role for you. Responsibilities Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge tech

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role The ideal candidate will be customer–centric and passionate about building strong customer relationships while delivering value to ensure happy customers. Build and nurture strong relationships with key stakeholders to drive retention and growth Conduct discovery with customers to understand business objectives and uncover new use cases Establish and maintain a trusted advisor relationship with customers, ensuring that customers are realizing value out of their investment in Synthesia Act as a subject matter expert for the practical application of Synthesia within enterprises and take a consultative approach in implementing video content into their workflows Monitor utilization and deploy strategies to increase user engagement, adoption and satisfaction Lead Quarterly Business Reviews with senior stakeholders in attendance that deliver clear outcomes Ensure ROI and value is communicated and understood by the customer Proactively monitor customer health, including potential risks to renewals and expansion opportunities Own commercial conversations and all aspects of the renewal process Collaborate with internal teams to ensure seamless onboarding, support, and resolution of customer issues About yo

About the Team DoorDash Labs is an independent team within DoorDash. We are working on building autonomous delivery robots from the ground up and other automation solutions as part of DoorDash's core delivery platform. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! Please Note: This role is based in San Francisco, CA, and requires in-person 5 days a week, plus availability for on-site interviews. No relocation assistance. About the Role We are seeking a highly motivated and detail-oriented Hardware Integration Engineer to join our team. You will work directly with our hardware team on the buildout, testing, and maintenance of the next generation of robotic systems within DoorDash Labs. Through your daily interactions with all aspects of the autonomous system, you will serve as the lead technical reference. You will work directly with our hardware/software engineers, engineering technicians, operations, and safety team to improve the utilization rate and safety of our autonomous vehicles. You’ll work closely with hardware and service engineering teams to tackle novel technical challenges in electromechanical systems and vehicle platforms. This is a role for someone who thrives in a fast-paced, hands-on environment and is passionate about building and refining robotic systems. You're excited about this opportunity because you will… Serve as the subject matter expert for autonomous robotic vehicles by developing deep familiarity with the entire system. Deliver vehicle integration support across the organization, including designing, prototyping, and installing proof-of-concept systems and sensors. Guide the vehicle through its lifecycle, from initial build-out and integration to final delivery and operational shakedown testing. Construct and engineer test benches to validate mechanical, electrical, embedded, and software systems. Create and maintain all necessary documentation pertainin

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Product Analyst San Mateo, CA; Los Angeles, CA; or San Diego, CA (Collab) Sony Interactive Entertainment LLC is seeking an Analyst, Product Analytics in California to join our team and contribute to the exciting future of the PlayStation platform. This role involves close collaboration with product feature teams and data partners to ensure effective data utilization and measurement methodologies for data-driven insights and decision-making. The Analyst will oversee end-to-end product analytics projects, including data exploration, KPI design, target setting, measurement planning, and impact assessment. Responsibilities Work closely with product feature teams to understand their roadmap and translate initiative goals into data KPIs, targets, and measurement plans. Extract and integrate data from various sources to support analytical efforts, coordinating with data product, engineering, data science, and other analytics teams as needed. Lead A/B test experiments, validate test data, monitor progress, perform post-test analysis, and provide recommendations for feature release decisions, collaborating with the experimentation platform team as necessary. Convert business questions into data analytics tasks, conduct thorough analyses to segment and explore

About the Role At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. Responsibilities Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. Continuously improve deployment velocity, reliability, and operational efficiency through automation. Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. Requirements 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. Strong software engineering skills in Python, Go, or Rust . Experience building platforms, automation systems, or developer infrastructure. Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. Strong systems thinking with the ability to understand problems across hardw

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 ship AI products. THE ROLE As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently. You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company. EXAMPLE INITIATIVES You'll work on projects like these as part of the SRE team: Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services. Building AI-assisted tooling for incident triage and response. RESPONSIBILITIES Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking. Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code. Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution. Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations. Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concu

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. LEAD. STRATEGIZE. TRANSFORM. JOIN US AS A PROFESSIONAL SERVICES PRACTICE MANAGER! Are you ready to own your impact at the forefront of the data revolution ? As a Services Practice Manager , you’ll be a key driver in transforming businesses through cutting-edge cloud data solutions . You’ll collaborate with top-tier clients, strategize with elite sales teams, and lead groundbreaking professional service engagements —all while working with the best minds in the industry! This role is completely remote and can be based anywhere in the Eastern Timezone. WHY THIS ROLE? Be a Market Leader: Own and execute a strategic vision for Professional Services. Drive Meaningful Change: Work with clients to unlock the power of data and fuel digital transformations. Lead from the Front: Manage high-impact projects, ensure seamless delivery, and drive revenue growth. Collaborate with the Best: Work cross-functionally with top industry experts to shape the future of cloud data solutions. Crush Your Goals: Meet and exceed bookings, utilization, and consumption targets while delivering exceptional customer experiences . WHAT YOU’LL DO: Spearhead services sales execution and project delivery success for key accounts. Engage C-level executives to create and execute services roadmaps that drive real

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's Cache team is building a next-generation caching solution designed to deliver sub-millisecond average latency, horizontal scalability, and high efficiency—all at a drastically lower cost. Our ultimate vision is to shape a caching infrastructure capable of supporting 1 billion Daily Active Users while reducing costs by 90%. We are turning hours of onboarding and capacity expansion into seconds, freeing service owners entirely from managing cluster lifecycles. As a Senior Engineer on the Cache team (part of the Infra Storage org), you will innovate and operate large-scale, in-house distributed systems to solve Roblox's ever-growing caching challenges. You will report directly to the Engineering Manager for the Cache team. (Check out our recent engineering blog post here to learn more about the team's latest work!) You will: Lead the architectural transition to a next-generation, multitenant caching service built on ValKey, ensuring strict data, resource, and failure isolation for all tenants. Drive systemic optimizations to mitigate head-of-line blocking, manage hot keys, and maximize CPU and memory utilization across physical machine clusters. Design and build robust frameworks to a

About the Team OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a GPT Infrastructure Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will Lead GPT Infrastructure programs across industrial compute environments, including first-party and partner-owned capacity. Convert delivered power, space, and hardware capacity into production-ready token throughput. Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding. Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams. Drive external providers, EPCs, OEMs, utilities, and strategic partners toward agg

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions optimized for advanced AI workloads. We collaborate across research, software, and external hardware partners to design and deploy next-generation AI systems at scale. Our team works closely with silicon vendors and system partners to evaluate emerging technologies, validate performance characteristics, and ensure that hardware capabilities translate effectively to real-world AI workloads. About the Role We are seeking a 3P Hardware Architecture Expert with deep expertise in GPU and accelerator architectures to engage directly with silicon vendors and guide hardware decisions for AI infrastructure. In this role, you will evaluate architectural tradeoffs across compute, memory, and interconnect systems, translating vendor specifications into real-world workload impact. You will play a critical role in early silicon evaluation, benchmarking, and performance validation, helping ensure that next-generation hardware meets the needs of our workloads. This role is highly hands-on and requires both deep technical understanding and the ability to engage at a high level with partners such as NVIDIA and AMD on architectural direction and design tradeoffs. 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. Key Responsibilities Engage deeply with silicon vendors (e.g NVIDIA & AMD) on GPU and accelerator architecture tradeoffs. Analyze and interpret performance, power, and efficiency characteristics of next-generation hardware. Translate vendor specifications into expected real-world performance for AI workloads. Evaluate architectural aspects including: compute throughput and utilization memory systems (HBM, cache hierarchies, bandwidth constraints) data types and precision tradeoffs (FP16, BF16, FP8, etc.) interconnect and scaling behavior. Run benchmarks and profiling to validate hardware performance a