Large Enterprise Account Executive Okta Jobs

NVIDIA's Performance Lab (PerfLab) builds the automation platforms that evaluate the performance and quality of accelerated computing workloads efficiently and accurately, from single nodes to large training and inference clusters. Our platforms turn complex benchmark campaigns into reliable, scalable, and reproducible workflows, enabling engineering, product, and marketing teams to make data-driven decisions. We are looking for a System Software Architect to set the technical direction for these platforms. You will build platform components and lead projects from problem discovery and technical design through production deployment and adoption. This hands-on role combines architecture, cross-team alignment, and direct system debugging. You will collaborate with NVIDIA teams around the world and help shape how NVIDIA measures, understands, and improves performance for large language models, agentic AI, and emerging HPC and AI workloads. What You'll Be Doing: Define the technical direction and architecture for major areas of PerfLab's benchmark infrastructure, translating evolving business and engineering needs into clear roadmaps and scalable platform capabilities. Lead the implementation of reusable software, services, and workflows that automate benchmark definition, execution, result collection, validation, and reporting across local, cluster, and cloud-native environments. Establish engineering approaches that improve the reliability, scalability, observability, maintainability, and reproducibility of large benchmark campaigns. Stay hands-on with AI benchmarking, analysis, and benchmark design, and use that first-hand knowledge of how real workflows behave to ground platform investments and technical decisions. Lead delivery across team boundaries: align partner teams on direction, eliminate duplicated efforts, manage delivery risk, and keep stakeholders informed. Ra

The Deputy General Manager – Project Planning will be responsible for leading the planning, scheduling, monitoring, and control of large thermal power plant projects. The role involves developing integrated project schedules, monitoring project performance, identifying critical risks, supporting project execution teams, and ensuring timely completion of BTG, BOP, CHP, AHP, Switchyard, Transmission, and Balance of Plant activities within approved timelines and budgets. Source: Adani Group | Job ID: 60239

Sr. Account Manager Govt Description - Job Summary • This role is responsible for focusing on large strategic deals to drive long-term revenue growth for the organization. The role proactively seeks for expansion opportunities within the existing accounts. The role guides a team of account managers while mentoring them on selling techniques and ensuring all performance metrics and KPIs are met. Responsibilities • Demonstrates an exceptional level of subject matter expertise and thought leadership and applies consultative-selling techniques to identify and advance opportunities. • Develops account plans and long-term sales pipeline focusing on larger deals, portfolio management, and selling the organization’s offerings. • Identifies and navigates complex customer requirements, aligning them with the organization’s capabilities, and makes strategic decisions on the most suitable direct/indirect supply chain options. • Builds and maintains strong relationships with high-level clients, gaining a deep understanding of their unique business needs. • Directs and coordinates all activities on accounts; advocates for client needs in negotiating solution sales and troubleshooting delivery issues. • Develops and executes sales strategies, territory account plans, and market penetration strategies to drive revenue growth and expand market share. • Analyzes and interprets key performance indicators (KPIs) and market trends to provide insights and recommendations to the senior management for optimizing sales performance. • Engages strategically with partners to improve win rates on selective deals; consistently exceeds and manages quarterly, half-yearly, and yearly sales quotas. • Leads and oversees high-stakes contract negotiations with major clients, ensuring contract terms and renewals are strategically aligned with the company&#39

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. Staff Software Engineer – Data Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale. The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity. We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data plat

Data Engineer III itD is seeking a Data Engineer to design, build, and own the data models, pipelines, and reporting behind a large-scale robot teleoperation and wearable data collection operation at a leading global technology company, replacing manual operational reporting with automated, trustworthy systems. The ideal candidate will bring deep experience in dimensional modeling, production pipeline ownership, and distributed SQL and Python, and a track record of delivering reliable reporting infrastructure and metrics that leadership trusts. Location: Remote (US). Pay Rate: $48.60/hr Depends on Experience Duration: 12 months, full time (40 hours/week), start ASAP, with a strong possibility of extension or conversion. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Design and own dimensional data models covering collection volume, operator efficiency, data quality, and equipment uptime across multiple collection methods, and build the daily and cumulative table layers that let recurring reporting be derived automatically. Define and document canonical metric definitions so key terms mean one consistent thing across dashboards, internal apps, and leadership reporting, and drive alignment when teams disagree. Build and extend batch data pipelines from operational source systems through daily snapshots to cumulative dimension tables; own correctness, freshness, and backfill of every reported metric and resolve discrepancies against source data. Build automated data-quality checks, anomaly detection, and freshness SLAs, and own backfill and restatement strategy (including communicating restatements to stakeholders) when definitions or upstream sources change. Build and own dashboards and internal reporting views, including live fleet-status views and automatically generated daily operational briefs, plus l

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. What is our Mission Toast has established itself as the leading hospitality platform in the US, and we are now setting our sights on the global stage. As part of the International team, in our mission to expand globally, we are building what it takes to help our customers thrive. You will join a high-impact, high-ownership engineering team solving complex technical challenges. We are looking for leadership that balances technical excellence with a strong customer mindset to drive continuous growth for both the team and our platform. A day in the life (Responsibilities) Lead complex projects within a cross-functional collaborative and supportive environment. Design, build, deploy and maintain highly resilient and scalable systems critical to our customers’ success. Mentor and provide technical guidance to team members, leading technical discussions and promoting best engineering practices. Work directly with pilot customers (sometimes in the restaurant!) to ensure successful delivery and operation Advocate for best coding practices, raising the bar for yourself, your team, and the company. Leverage cutting-edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 8+ years of experience in delivering high quality, reliable services to production using Java, Kotlin or other object oriented language(s) Proven track record of architecting, supporting and debugging large distributed & multi threaded applications. Drive to work across our tech stack and support other engineers in resolving challenging problems Passionate about making users happy and seeing people use your product in the wi

Job Details: Job Description: Why Join Us Join a team shaping the future of AI on Intel platforms. You will work on cutting-edge technologies that accelerate Large Language Models, Generative AI, and other advanced AI workloads on next-generation Intel GPUs. This role offers the opportunity to collaborate with experts across hardware architecture, compilers, runtime systems, and AI frameworks while developing skills that span the full AI software stack. Your work will have direct impact on delivering industry-leading AI performance and enabling the next generation of AI applications. Intel is seeking a Senior AI Systems Software Engineer to drive optimization strategy and technical leadership across the AI software stack. In this role, you will lead the development of high-performance software solutions that accelerate AI inference workloads, including Large Language Models (LLMs), Generative AI, and emerging machine learning applications on Intel GPU platforms. You will work across software, compilers, runtimes, frameworks, and hardware architecture teams to deliver breakthrough AI performance and influence future product direction. What You’ll Do Key responsibilities will include but not limited to: Lead optimization initiatives for AI inference workloads on Intel GPUs. Define and drive performance optimization strategies across compilers, runtimes, and GPU kernels. Architect software solutions that improve scalability, efficiency, and performance. Profile, benchmark, and analyze complex AI workloads to identify system bottlenecks. Influence hardware and software co-design decisions through performance characterization and workload analysis. Drive cross-functional technical initiatives spanning architecture, compiler, framework, and r

Planner Print Commercial Description - Job Summary This role is responsible for managing a broad range of moderately complex supply chain processes for a large global business unit. The role enhances current business processes and performance metrics by leading regional and global business unit planning teams, and identifies opportunities to streamline and optimize operational processes. The role contributes to special projects and communicates requirements to the global business unit planning teams. Responsibilities Own end‑to‑end service parts demand planning across the full-service lifecycle, applying appropriate quantitative forecasting methods by part behavior, lifecycle stage, and variability. Analyze large historical datasets to identify demand patterns, structural shifts, and root causes, translating insights into actionable forecast, stocking, and lifecycle decisions. Lead forecast accuracy and bias analysis, identify systemic root causes, and implement corrective actions that measurably improve forecast performance and customer fill rate. Define and optimize multi‑echelon inventory policies across a complex service network to balance customer experience, availability, and total inventory cost. Evaluate current and forward‑looking inventory positions, taking decisive action to mitigate shortages, excess, and obsolescence risk. Apply multi‑echelon inventory optimization principles to drive data‑backed inventory decisions across DCs, RDCs, and forward stocking locations. Monitor and manage Excess & Obsolescence (E&O) trends, developing mitigation strategies and driving execution to reduce financial exposure. Optimize sourcing and repair strategies, balancing repair, reuse, and new buy decisions to improve inventory health and cost efficiency. Manage network replenishment,

Production engineering is a field that involves crafting, building, and maintaining large-scale production systems with high efficiency and availability. It encompasses various areas, including software and systems engineering practices, storage, data management, and services. Professionals in the role of Production Engineers hold specialized knowledge and expertise across various domains, including storage architecture, high-performance distributed storage, data management, systems, networking, coding, database management, prioritization, continuous delivery and deployment, along with open-source cloud-enabling technologies such as Kubernetes, containers, and virtualization. Their responsibilities include ensuring storage architectures are reliable, scalable, and efficient. They optimize data placement and access patterns. They manage large-scale distributed storage systems and ensure low-latency data access for HPC and AI/ML workloads. Storage Production Engineers at NVIDIA ensure that our internal and external-facing GPU cloud services meet reliability and uptime goals as promised to the users while enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency, and performance. This role also requires a mindset focused on automating storage operations, improving data access efficiency, and optimizing storage performance. Much of our software development focuses on optimizing operations through automation, enhancing system responsiveness, and improving the efficiency of storage and production systems. Since Production Engineers are responsible for the big picture of how our systems interface with each other, we use a breadth of tools and approaches to tackle a broad spectrum of challenges. Practices such as proactive storage performance monitoring, automated fault detection and remediation, scalable data redundancy methods, and integration of intelligent

Job Title Cash Accountant - North America Job Description Cash Accountant - North America As a Cash Accountant you will support with unapplied cash reconciliations, refunds and other general ledger reconciliation activities Your role: Daily reconciliation of the prepayment cash general ledger with large transaction volume and Accounts Receivable customer accounts. Coordinating with financial business partners, collections, cash applications and Record to Report Development opportunities within Accounts Receivable/Credit & Collections process improvement by identifying root cause problems, processes gaps, and provide continuous improvements solutions. Responsible for handling refund processes through data compilation, approval request and return process to client. You're the right fit if: High School Diploma, Vocational Education/Bachelor's Degree in Finance, Accounting, Economics, Data Analysis or equivalent. You have 2+ years of experience in Credit Risk Management, Accounts Receivable, Collections or equivalent with Vocational Education OR no prior experience with Bachelor's Degree. You are knowledgeable in SAP, Excel (Pivot Tables, Data visualization and manipulation). Preferrable knowledge in AI systems such as Copilot, Chat GPT or other. You are a highly responsible, customer service-oriented individual who excels in teamwork, demonstrates strong interpersonal relationships, exhibits initiative, and is a fast learner. You are able to efficiently communicate in the English languate. May be required to work overtime and/or during Panamanian holidays, based on business &/or departmental needs. How we work together We believe that we are better together than apart. For our office-based teams, this means worki

REQ ID: FEQ227R147 Location: Germany (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. What You'll Do Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for do

REQ ID: FEQ227R147 Location: France (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. What You'll Do Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for dom

REQ ID: FEQ227R147 Location: Sweden (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. What You'll Do Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for dom

REQ ID: FEQ227R147 Location: Netherlands (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. What You'll Do Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches fo

NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world’s most advanced large language model workloads. We are looking for a Software Engineer focused on bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run. In this role you will help bring up, benchmark, and debug distributed LLM workloads on multi-GPU and multi-node deployments, and own the design and implementation of the benchmarking tooling, automation, and debugging workflows that support them. This is a hands-on role for an engineer who enjoys deep technical problems across deep learning systems, GPU performance, distributed computing, and large-scale operations. What you’ll be doing: Bring up, validate, and debug large-scale AI clusters, infrastructure, and end-to-end workloads. Bring up, tune, and benchmark AI pre-training, post-training, and inference workloads using PyTorch, NeMo / Megatron, TensorRT-LLM, and adjacent NVIDIA AI software stacks. Perform root-cause analysis of failures in large distributed environments Contribute to the resilience and failure-attribution tooling that detects, triages, and attributes node, fabric, and workload failures across the cluster. Build and maintain repeatable benchmark suites, automation, acceptance criteria, and qualification workflows on new platforms. Tune runtime settings, communication parameters, and deployment configurations in close partnership with framework, systems, and platform teams. Deliver actionable, data-driven recommendations based on profiling, benchmark results, and cluster characterization. What we ne