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AI Engineer 4 (Gen AI Platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Gen AI Platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Vision model (VLM) customization experience) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Vision model (VLM) customization experience) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionJob Description: VIATEQ Corporation is looking for a Continual Improvement Manager to support our prime contractor and our government customer in Washington, DC. The position is hybrid, with 3 days required on-site. This position requires the candidate to be able to obtain a Public Trust. The Continual Improvement Manager supports a comprehensive enterprise IT operations and support engagement for a federal government client. This role serves as the primary owner of the enterprise continual service improvement (CSI) program, responsible for driving measurable, sustained operational improvement across all functional areas of the engagement through data-driven analysis, automation, process optimization, retrospective-driven action planning, and a culture of continuous learning and innovation. The role operates within a mature ITIL 4-aligned IT Service Management (ITSM) practice, working in close coordination with the Program Manager, Service Level & Capacity Manager, Incident Manager, NOC and Service Desk teams, engineering leads, and Government stakeholders to identify, prioritize, execute, and measure improvement initiatives that enhance service quality, operational efficiency, platform reliability, and end-user experience across a geographically distributed hybrid on-premises and cloud environment. The position is responsible for establishing, leading, and sustaining the enterprise continual service improvement program across all functional areas of the engagement. This individual identifies improvement opportunities through rigorous analysis of service level performance data, incident and problem trends, capacity metrics, customer satisfaction results, Sprint Retrospective outputs, and operational observations, and translates these findings into a prioritized, actionable improvement backlog that drives measurable progress against the Government's performance objectives throughout the period of performance. Our ideal candidate is a strategically minded and analytically driven ITSM professional with a strong background in continual service improvement, process engineering, Agile delivery, and federal IT operations environments. This individual must possess the ability to synthesize complex operational data from multiple sources into a coherent improvement roadmap, build organizational buy-in for change, and demonstrate measurable outcomes that advance the Government's objectives for availability, user support, engineering excellence, and service management maturity. This position requires the ability to obtain and maintain a government background investigation, HSPD-12 PIV credentials, and applicable IT access authorizations prior to performing work. This position may be performed primarily at the client's facility and approved remote/telework locations. Responsibilities: Continual Improvement Program Leadership: Establish, own, and lead the enterprise continual service improvement (CSI) program, developing and maintaining a comprehensive CSI framework aligned to ITIL 4 principles and integrated with the program's Agile Sprint delivery model. Develop, maintain, and govern the program-wide CSI register, ensuring all identified improvement opportunities, regardless of source, are accurately documented, categorized, prioritized, assigned, tracked, and reported to program leadership and Government stakeholders on a recurring basis. Define and communicate a clear improvement roadmap aligned to the Government's desired outcomes for availability, user support, engineering excellence, service management maturity, Agile delivery, and operational efficiency, ensuring improvement priorities reflect both program data and Government strategic objectives. Lead the execution of high-priority improvement initiatives from identification through implementation and outcome validation, coordinating resources, managing dependencies, and tracking progress against defined success criteria and measurable targets. Champion a culture of continuous learning, operational excellence, and data-driven decision-making across all functional teams, ensuring improvement is treated as an ongoing organizational discipline rather than a reactive response to performance gaps. Present CSI program status, improvement outcomes, and forward-looking improvement priorities at Sprint Reviews, Monthly Status Reviews, and other Government-facing forums, demonstrating measurable service improvement over time. Data Analysis & Improvement Identification: Serve as the program's primary analyst for improvement identification, synthesizing data from multiple operational sources to identify trends, patterns, performance gaps, and systemic inefficiencies across all functional areas. Conduct regular analysis of service level performance data, incident and problem management trends, capacity utilization metrics, change success rates, customer satisfaction survey results, first-contact resolution rates, Sprint velocity data, and level-of-effort delivery metrics to identify improvement opportunities. Perform process maturity assessments across functional areas, including NOC operations, Service Desk, network engineering, infrastructure operations, Microsoft infrastructure, enterprise applications, A/V systems, and AI/emerging technology integration, identifying gaps against ITIL 4 best practices, industry standards, and Government objectives. Conduct root cause analysis and contributing factor analysis for recurring performance gaps, SLA breaches, high-volume incident categories, and low customer satisfaction areas, developing targeted improvement recommendations based on findings. Leverage Sprint Retrospective outputs, post-incident review (PIR) findings, problem management outputs, customer feedback, and staff observations as structured improvement inputs, ensuring all retrospective action items are captured in the CSI register and tracked to completion. Analyze automation and tooling opportunities across operational workflows, ITSM platform capabilities, and reporting processes, identifying candidates for automation that reduce manual effort, improve accuracy, and accelerate service delivery. Improvement Execution & Tracking: Develop detailed improvement initiative charters or project plans for significant improvement efforts, defining objectives, scope, success criteria, resource requirements, timelines, dependencies, risks, and measurable outcomes. Coordinate improvement initiative execution across functional teams, ensuring assigned owners have the clarity, resources, and organizational support needed to implement improvements within committed timelines. Monitor and track all active improvement initiatives in the CSI register, providing regular status updates to program leadership and escalating risks or delays that threaten initiative timelines or expected outcomes. Validate improvement outcomes through before-and-after performance data comparison, ensuring that implemented changes produce the intended measurable improvements and that gains are sustained over time. Manage the improvement backlog in the Government's Agile/ITSM tooling, ensuring improvement items are accurately estimated, prioritized in collaboration with the COR or Government Product Owner, and integrated into Sprint planning and commitment processes each Sprint. Coordinate with the automation and analytics team to implement automated monitoring, alerting, and reporting capabilities that support ongoing measurement of improvement initiative outcomes. Agile Delivery Integration: Serve as the primary facilitator of Sprint Retrospective ceremonies, ensuring each retrospective produces specific, actionable, and assigned improvement outcomes that are captured in the CSI register and prioritized for inclusion in subsequent Sprints. Collaborate with the Program Manager and Agile delivery leadership to ensure the improvement backlog is integrated with the overall program backlog, and that improvement work items receive appropriate Sprint prioritization alongside operational and project work. Participate in Sprint Planning, backlog refinement, Sprint Review, and daily coordination activities, contributing improvement program perspective to Sprint commitment decisions and workload prioritization. Develop and maintain Sprint-level improvement metrics, including improvement backlog velocity, initiative completion rates, and outcome achievement rates, ensuring data is available for Sprint Review Reports and Monthly Status and Performance Reports. Ensure the program's Agile operating model itself is subject to continual improvement, regularly assessing Sprint ceremony effectiveness, backlog health, Sprint commitment accuracy, and level-of-effort delivery consistency, and proposing adjustments to improve Agile delivery maturity over time. Process Engineering & Standardization: Lead the development, documentation, and standardization of operational processes, procedures, runbooks, and standard operating procedures across functional areas, ensuring processes are clearly defined, consistently followed, regularly reviewed, and updated to reflect operational changes and improvement outcomes. Conduct process mapping and workflow analysis for key operational processes, including incident management, change management, service request fulfillment, knowledge management, shift handoff, and escalation procedures, identifying inefficiencies, redundancies, and automation opportunities. Develop and maintain a process improvement methodology tailored to the program's Agile and ITIL 4 operating model, providing functional teams with a consistent, repeatable framework for identifying, proposing, testing, and validating process changes click apply for full job details

Job DescriptionJob Description: VIATEQ Corporation is looking for a Continual Improvement Manager to support our prime contractor and our government customer in Washington, DC. The position is hybrid, with 3 days required on-site. This position requires the candidate to be able to obtain a Public Trust. The Continual Improvement Manager supports a comprehensive enterprise IT operations and support engagement for a federal government client. This role serves as the primary owner of the enterprise continual service improvement (CSI) program, responsible for driving measurable, sustained operational improvement across all functional areas of the engagement through data-driven analysis, automation, process optimization, retrospective-driven action planning, and a culture of continuous learning and innovation. The role operates within a mature ITIL 4-aligned IT Service Management (ITSM) practice, working in close coordination with the Program Manager, Service Level & Capacity Manager, Incident Manager, NOC and Service Desk teams, engineering leads, and Government stakeholders to identify, prioritize, execute, and measure improvement initiatives that enhance service quality, operational efficiency, platform reliability, and end-user experience across a geographically distributed hybrid on-premises and cloud environment. The position is responsible for establishing, leading, and sustaining the enterprise continual service improvement program across all functional areas of the engagement. This individual identifies improvement opportunities through rigorous analysis of service level performance data, incident and problem trends, capacity metrics, customer satisfaction results, Sprint Retrospective outputs, and operational observations, and translates these findings into a prioritized, actionable improvement backlog that drives measurable progress against the Government's performance objectives throughout the period of performance. Our ideal candidate is a strategically minded and analytically driven ITSM professional with a strong background in continual service improvement, process engineering, Agile delivery, and federal IT operations environments. This individual must possess the ability to synthesize complex operational data from multiple sources into a coherent improvement roadmap, build organizational buy-in for change, and demonstrate measurable outcomes that advance the Government's objectives for availability, user support, engineering excellence, and service management maturity. This position requires the ability to obtain and maintain a government background investigation, HSPD-12 PIV credentials, and applicable IT access authorizations prior to performing work. This position may be performed primarily at the client's facility and approved remote/telework locations. Responsibilities: Continual Improvement Program Leadership: Establish, own, and lead the enterprise continual service improvement (CSI) program, developing and maintaining a comprehensive CSI framework aligned to ITIL 4 principles and integrated with the program's Agile Sprint delivery model. Develop, maintain, and govern the program-wide CSI register, ensuring all identified improvement opportunities, regardless of source, are accurately documented, categorized, prioritized, assigned, tracked, and reported to program leadership and Government stakeholders on a recurring basis. Define and communicate a clear improvement roadmap aligned to the Government's desired outcomes for availability, user support, engineering excellence, service management maturity, Agile delivery, and operational efficiency, ensuring improvement priorities reflect both program data and Government strategic objectives. Lead the execution of high-priority improvement initiatives from identification through implementation and outcome validation, coordinating resources, managing dependencies, and tracking progress against defined success criteria and measurable targets. Champion a culture of continuous learning, operational excellence, and data-driven decision-making across all functional teams, ensuring improvement is treated as an ongoing organizational discipline rather than a reactive response to performance gaps. Present CSI program status, improvement outcomes, and forward-looking improvement priorities at Sprint Reviews, Monthly Status Reviews, and other Government-facing forums, demonstrating measurable service improvement over time. Data Analysis & Improvement Identification: Serve as the program's primary analyst for improvement identification, synthesizing data from multiple operational sources to identify trends, patterns, performance gaps, and systemic inefficiencies across all functional areas. Conduct regular analysis of service level performance data, incident and problem management trends, capacity utilization metrics, change success rates, customer satisfaction survey results, first-contact resolution rates, Sprint velocity data, and level-of-effort delivery metrics to identify improvement opportunities. Perform process maturity assessments across functional areas, including NOC operations, Service Desk, network engineering, infrastructure operations, Microsoft infrastructure, enterprise applications, A/V systems, and AI/emerging technology integration, identifying gaps against ITIL 4 best practices, industry standards, and Government objectives. Conduct root cause analysis and contributing factor analysis for recurring performance gaps, SLA breaches, high-volume incident categories, and low customer satisfaction areas, developing targeted improvement recommendations based on findings. Leverage Sprint Retrospective outputs, post-incident review (PIR) findings, problem management outputs, customer feedback, and staff observations as structured improvement inputs, ensuring all retrospective action items are captured in the CSI register and tracked to completion. Analyze automation and tooling opportunities across operational workflows, ITSM platform capabilities, and reporting processes, identifying candidates for automation that reduce manual effort, improve accuracy, and accelerate service delivery. Improvement Execution & Tracking: Develop detailed improvement initiative charters or project plans for significant improvement efforts, defining objectives, scope, success criteria, resource requirements, timelines, dependencies, risks, and measurable outcomes. Coordinate improvement initiative execution across functional teams, ensuring assigned owners have the clarity, resources, and organizational support needed to implement improvements within committed timelines. Monitor and track all active improvement initiatives in the CSI register, providing regular status updates to program leadership and escalating risks or delays that threaten initiative timelines or expected outcomes. Validate improvement outcomes through before-and-after performance data comparison, ensuring that implemented changes produce the intended measurable improvements and that gains are sustained over time. Manage the improvement backlog in the Government's Agile/ITSM tooling, ensuring improvement items are accurately estimated, prioritized in collaboration with the COR or Government Product Owner, and integrated into Sprint planning and commitment processes each Sprint. Coordinate with the automation and analytics team to implement automated monitoring, alerting, and reporting capabilities that support ongoing measurement of improvement initiative outcomes. Agile Delivery Integration: Serve as the primary facilitator of Sprint Retrospective ceremonies, ensuring each retrospective produces specific, actionable, and assigned improvement outcomes that are captured in the CSI register and prioritized for inclusion in subsequent Sprints. Collaborate with the Program Manager and Agile delivery leadership to ensure the improvement backlog is integrated with the overall program backlog, and that improvement work items receive appropriate Sprint prioritization alongside operational and project work. Participate in Sprint Planning, backlog refinement, Sprint Review, and daily coordination activities, contributing improvement program perspective to Sprint commitment decisions and workload prioritization. Develop and maintain Sprint-level improvement metrics, including improvement backlog velocity, initiative completion rates, and outcome achievement rates, ensuring data is available for Sprint Review Reports and Monthly Status and Performance Reports. Ensure the program's Agile operating model itself is subject to continual improvement, regularly assessing Sprint ceremony effectiveness, backlog health, Sprint commitment accuracy, and level-of-effort delivery consistency, and proposing adjustments to improve Agile delivery maturity over time. Process Engineering & Standardization: Lead the development, documentation, and standardization of operational processes, procedures, runbooks, and standard operating procedures across functional areas, ensuring processes are clearly defined, consistently followed, regularly reviewed, and updated to reflect operational changes and improvement outcomes. Conduct process mapping and workflow analysis for key operational processes, including incident management, change management, service request fulfillment, knowledge management, shift handoff, and escalation procedures, identifying inefficiencies, redundancies, and automation opportunities. Develop and maintain a process improvement methodology tailored to the program's Agile and ITIL 4 operating model, providing functional teams with a consistent, repeatable framework for identifying, proposing, testing, and validating process changes click apply for full job details

Requisition ID: req436 Location: Phoenix, AZ, United States Join Our Team! We are currently recruiting a Remote OPS Center Manager to join our team and contribute to key projects in a dynamic and collaborative environment. This role is part of a global team working towardcommon goals. We operate as one company, across all locations, with shared responsibility andclear accountability. The Remote Operations Center (ROC) Manager leads a team of operators across rotating 24/7 shifts, providing real-time oversight of a multi-technology renewable energy portfolio spanning wind, battery energy storage systems (BESS), and utility-scale solar photovoltaic (PV) assets. The portfolio is currently concentrated in the US Southwest (CAISO market), with planned expansion into MISO and ERCOT, and includes wind assets in Alberta and Québec with future MISO expansion. The Manager ensures safe, reliable, and compliant operations across all assets, serves as the primary escalation point for real-time operational issues, and fosters a culture of continuous improvement within the ROC. This role is pivotal in bridging field operations, scheduling coordination, asset management, and SCADA-driven alarm management. In addition, the Manager will serve as a key contributor in the stand-up of a new ROC facility launching January 1, 2027, with significant hands-on involvement throughout the first three months of operations to ensure the center is fully staffed, operationally ready, and performing to standard. Key Responsibilities Team Supervision & Shift Management Supervise, mentor, and develop a team of ROC Operators working rotating 24/7 shifts, including days, nights, weekends, and holidays. Create and maintain shift schedules ensuring continuous coverage with no single points of failure. Conduct regular performance reviews, one-on-ones, and skills assessments to support operator development and retention. Establish and enforce Standard Operating Procedures (SOPs), escalation protocols, and shift handover standards. Serve as the primary escalation contact for operators during complex or high-impact operational events. Real-Time Operations Monitoring Oversee continuous real-time monitoring of wind, BESS, and PV assets via SCADA platforms across multiple geographic regions and regulatory markets. Ensure operators actively track generation performance, equipment status, and market signals for CAISO, MISO, ERCOT, AESO, and HQÉI interconnected assets. Direct real-time responses to curtailments, forced outages, grid emergencies, and market dispatch instructions. Ensure compliance with market rules, grid codes, and interconnection agreements across all operating jurisdictions . SCADA Alarm Management Oversee the team's systematic monitoring, triage, and resolution of SCADA alarms across the full asset portfolio. Ensure alarm events are correctly classified, escalated, and documented in accordance with established alarm management procedures. Direct operators to initiate SAP Work Orders for field technician dispatch in response to equipment alarms, faults, and performance deviations. Review alarm logs and Work Order completion rates; identify recurring issues and drive root cause analysis efforts with O&M engineering teams. Champion continuous improvement of alarm rationalization and suppression strategies to reduce nuisance alarms and increase operator effectiveness. Coordination with Field Operations Serve as the primary ROC interface with field operators and site technicians at wind, BESS, and PV facilities. Oversee daily coordination of operations and maintenance (O&M) activities, ensuring safe system states and Lock Out / Tag Out (LOTO) compliance before and after field work. Authorize and document switching operations, clearances, and equipment isolation in coordination with field supervisors. Ensure the ROC team maintains accurate and up-to-date awareness of field crew activities, planned work, and site access conditions. Outage Coordination & Scheduling Lead ROC coordination of planned and forced outages with scheduling coordinators and market operators (CAISO, MISO, ERCOT, AESO, HQÉI). Ensure timely and accurate submission of outage notifications, availability updates, and return-to-service confirmations to applicable ISOs and utilities. Collaborate with asset managers, O&M teams, and commercial schedulers to minimize revenue impact and optimize outage windows. Maintain outage logs and ensure compliance with reporting timelines required by each market and regulatory jurisdiction . SAP Work Order Administration Ensure ROC operators proficiently create, assign, and close SAP Plant Maintenance (PM) Work Orders in response to SCADA alarms and operational events Monitor Work Order backlogs and escalate aging or high-priority items to maintenance supervisors and asset managers. Review and approve Work Orders for accuracy, completeness, and appropriate priority classification. Participate in weekly O&M planning meetings to align ROC-generated Work Orders with field maintenance schedules. Reporting & Documentation Ensure accurate shift logs, incident reports, and operational summaries are produced for every shift. Prepare and deliver daily, weekly, and monthly operational performance reports to leadership. Track and report KPIs including asset availability, alarm response time, Work Order cycle time, and outage duration. Support post-event investigations and document lessons learned to prevent recurrence. ROC Stand-Up & New Facility Commissioning Work as a key contributor alongside the project team to stand up a new Remote Operations Center launching January 1, 2027, with primary focus and elevated involvement expected through March 31, 2027. Contribute to the design and implementation of ROC operational infrastructure, including SCADA integration, alarm management frameworks, and workstation configuration. Assist in recruiting, onboarding, and initial training of ROC Operators for the new facility, ensuring all personnel are shift-ready prior to go-live. Develop and validate Standard Operating Procedures, shift handover standards, escalation protocols, and emergency response plans tailored to the new facility's asset portfolio. Coordinate with IT, SCADA/controls vendors, and O&M engineering teams to resolve integration issues and confirm system readiness before and during commissioning. Participate in tabletop exercises, mock-shift walkthroughs, and operational readiness reviews to verify the team and systems are prepared for live operations. Track and report stand-up milestones, open action items, and readiness gaps to project leadership throughout the commissioning period. Transition stand-up responsibilities to steady-state operations management no later than the end of Q1 2027, maintaining documentation of lessons learned for future facility launches. Qualifications Required Bachelor's degree in electrical engineering , p ower s ystems, e nergy m anagement, or a related technical field - OR equivalent combination of education and experience. Minimum 10 years of experience in ROC renewable power plant operations, grid control room operations, or utility/ISO operations. Minimum 5 years in a managerial role within a 24/7 operational environment. Demonstrated experience with SCADA platforms in a wind, solar, or BESS operations environment. Familiarity with SAP Plant Maintenance (PM) module for Work Order creation and management. Understanding of wholesale electricity markets and interconnection requirements in at least one of: CAISO, MISO, ERCOT, AESO, or HQÉI. Strong working knowledge of safety protocols including LOTO, switching procedures, and high-voltage safety practices. Excellent leadership, communication, and team development skills. Preferred Experience operating across multiple ISOs/markets simultaneously, particularly CAISO and Canadian markets (AESO / HQÉI). Familiarity with all three asset classes: wind turbine generators, utility-scale PV inverters, and grid-scale BESS systems. Knowledge of NERC/WECC reliability standards and Canadian provincial grid codes applicable to renewable generation. Experience with energy management systems (EMS) and/or advanced SCADA historian platforms (e.g., OSIsoft PI, GE Predix, or similar). Professional certification: NERC System Operator Certification, PE license, or equivalent market certification. Bilingual (English/French , English/Spanish ). Core Competencies Operational Leadership Technical Acumen Team coaching & performance management Decision-making under pressure Effective escalation & communication Process discipline & SOP adherence SCADA alarm management & triage Multi-market regulatory knowledge SAP PM Work Order proficiency Wind, PV & BESS systems knowledge Working Conditions Primary work location: Tempe, Arizona ROC facility (on-site required ). 24/7 operational environment; manager must be available for escalation on-call outside of standard shifts. Sporadic travel to field sites in US Southwest (AZ, CA, NM, NV), Alberta (Canada), and Québec (Canada) may be required . . click apply for full job details

Job DescriptionJob Description Position Summary Description The Manager of NERC Compliance oversees a staff of professionals supporting the administrative aspects of Seminole's North American Electric Reliability Corporation (NERC) and Federal Energy Regulatory Commission (FERC) Standards of Conduct compliance programs. This role manages development, implementation, and monitoring efforts toward ensuring compliance of the various operational business areas with all applicable NERC Standards. Collaborates with Seminole leadership, business areas, NERC and regional regulatory agencies on compliance matters. Accountable for spearheading systematic and continuous improvement of the NERC compliance program, its policies, procedures, training materials, and asset lists. Maintains knowledge of current and future regulatory requirements and assesses their impact to the organization. Essential Functions Provides oversight related to compliance with NERC Reliability Standards and FERC Standards of Conduct. Provides oversight during all compliance monitoring functions including on-site audits, spot checks, and self-certifications Collaborates with leadership and business areas to identify and address potential areas of non-compliance and initiate future compliance requirements. Monitors industry best practices and identifies changes in regulatory compliance for cyber and physical security. Provides oversight on compliance assessments, and ensures corrective action is performed to achieve compliance with NERC Reliability Standards. Provides oversight to communication with regional regulatory agencies and internal departments to ensure compliance issues are addressed in a timely manner. Provides oversight of mandatory filings for federal, state, and local regulatory agencies. Represents organization at meetings at the regional and federal level Interprets new and existing NERC regulations in consultation with legal and other subject matter experts to determine applicability. Provides technical leadership in the planning, development, organizational, coordination, implementation, and review of the NERC compliance program. Leads team of personnel in the performance of NERC compliance audits, surveillances, and assessments and is accountable for urgency, accuracy, and overall quality of program. Participates in industry forums and committees to improve overall compliance with NERC and FERC requirements Participates in the NERC Standards Development Process as necessary to ensure Seminole's interests are addressed when existing standards are revised or new standards are proposed. Performs NERC Compliance Program roles if/as designated in Seminole's Standard Ownership Matrix (SOM) including ongoing evidence retention in "audit-ready" form as applicable and directed. You should also be familiar with Seminole's Enterprise Internal Compliance Program (ENT-GCD-RGC-EP-054) to further your understanding of Seminole's compliance program and the context of your duties and responsibilities attendant to your designation in the SOM. Performs other duties as applicable to the position or as assigned. Qualifications and Education Requirements Bachelor's degree in Computer Science, Information Science, Cyber Security, Electrical Engineering, Business Administration, Business Process Management, Auditing, Risk Management. Alternative degrees in combination with specialized experience and/or certifications may be considered. Master's degree or other advance degree preferred. Desire eight (8) years' experience in a combination of the following: NERC Compliance. Information Technology (IT), Cyber Security or comparable experience with emphasis on technical and security domains. Auditing or Risk Management. Electric Utilities experience subject to NERC Standards. Previous supervisory experience preferred Core Competencies: Adaptable, Collaborative, Conscientious, Critical-Thinking, Outcome-Driven and Professional Technical Competencies/Skills: Demonstrated experience: NERC Reliability Standards Program governance, auditing, and risk management Change management, incident reporting and response planning Process lifecycle and improvement plans Enterprise cyber security principles in context of NERC program Transmission, Generation, Distribution, and/or Energy Management Systems Proficiency with Microsoft Office applications Soft Competencies/Skills: Effective verbal/nonverbal, listening and written communications Effective supervision, performance management and talent development Demonstrated: Hands-on design, management, implementation and operationalization of NERC requirements Practical experience of NERC Rules of Procedure and Compliance Monitoring & Enforcement Program Leadership and delivery of high-quality policies and procedures to support effective regulatory compliance Experience of IT/Cyber Security controls (e.g. engineering, architecture, applications, projects) Experience managing departmental budgets, reporting, and management of direct, indirect, and outside resources Effective relationship management with Auditors and Regulators (i.e. NERC, SERC, and FERC) Effective collaboration, communication, presentation, and relation management skills Leadership of related projects Physical Requirements Must be able to follow established protective measures including wearing required personal protective equipment (PPE). Must possess a valid driver's license and acceptable Motor Vehicle Report. Working Conditions Office environment. Some travel and work outside of normal business hours. While working in certain areas of the plant there is the potential for exposure to hazards typical of an industrial working environment. "Disclaimer - Management may modify this job description at any time and may require the performance of additional duties, or modification of physical requirements, with or without advance notice."

Job DescriptionJob Description Position Summary Description The Manager of NERC Compliance oversees a staff of professionals supporting the administrative aspects of Seminole's North American Electric Reliability Corporation (NERC) and Federal Energy Regulatory Commission (FERC) Standards of Conduct compliance programs. This role manages development, implementation, and monitoring efforts toward ensuring compliance of the various operational business areas with all applicable NERC Standards. Collaborates with Seminole leadership, business areas, NERC and regional regulatory agencies on compliance matters. Accountable for spearheading systematic and continuous improvement of the NERC compliance program, its policies, procedures, training materials, and asset lists. Maintains knowledge of current and future regulatory requirements and assesses their impact to the organization. Essential Functions Provides oversight related to compliance with NERC Reliability Standards and FERC Standards of Conduct. Provides oversight during all compliance monitoring functions including on-site audits, spot checks, and self-certifications Collaborates with leadership and business areas to identify and address potential areas of non-compliance and initiate future compliance requirements. Monitors industry best practices and identifies changes in regulatory compliance for cyber and physical security. Provides oversight on compliance assessments, and ensures corrective action is performed to achieve compliance with NERC Reliability Standards. Provides oversight to communication with regional regulatory agencies and internal departments to ensure compliance issues are addressed in a timely manner. Provides oversight of mandatory filings for federal, state, and local regulatory agencies. Represents organization at meetings at the regional and federal level Interprets new and existing NERC regulations in consultation with legal and other subject matter experts to determine applicability. Provides technical leadership in the planning, development, organizational, coordination, implementation, and review of the NERC compliance program. Leads team of personnel in the performance of NERC compliance audits, surveillances, and assessments and is accountable for urgency, accuracy, and overall quality of program. Participates in industry forums and committees to improve overall compliance with NERC and FERC requirements Participates in the NERC Standards Development Process as necessary to ensure Seminole's interests are addressed when existing standards are revised or new standards are proposed. Performs NERC Compliance Program roles if/as designated in Seminole's Standard Ownership Matrix (SOM) including ongoing evidence retention in "audit-ready" form as applicable and directed. You should also be familiar with Seminole's Enterprise Internal Compliance Program (ENT-GCD-RGC-EP-054) to further your understanding of Seminole's compliance program and the context of your duties and responsibilities attendant to your designation in the SOM. Performs other duties as applicable to the position or as assigned. Qualifications and Education Requirements Bachelor's degree in Computer Science, Information Science, Cyber Security, Electrical Engineering, Business Administration, Business Process Management, Auditing, Risk Management. Alternative degrees in combination with specialized experience and/or certifications may be considered. Master's degree or other advance degree preferred. Desire eight (8) years' experience in a combination of the following: NERC Compliance. Information Technology (IT), Cyber Security or comparable experience with emphasis on technical and security domains. Auditing or Risk Management. Electric Utilities experience subject to NERC Standards. Previous supervisory experience preferred Core Competencies: Adaptable, Collaborative, Conscientious, Critical-Thinking, Outcome-Driven and Professional Technical Competencies/Skills: Demonstrated experience: NERC Reliability Standards Program governance, auditing, and risk management Change management, incident reporting and response planning Process lifecycle and improvement plans Enterprise cyber security principles in context of NERC program Transmission, Generation, Distribution, and/or Energy Management Systems Proficiency with Microsoft Office applications Soft Competencies/Skills: Effective verbal/nonverbal, listening and written communications Effective supervision, performance management and talent development Demonstrated: Hands-on design, management, implementation and operationalization of NERC requirements Practical experience of NERC Rules of Procedure and Compliance Monitoring & Enforcement Program Leadership and delivery of high-quality policies and procedures to support effective regulatory compliance Experience of IT/Cyber Security controls (e.g. engineering, architecture, applications, projects) Experience managing departmental budgets, reporting, and management of direct, indirect, and outside resources Effective relationship management with Auditors and Regulators (i.e. NERC, SERC, and FERC) Effective collaboration, communication, presentation, and relation management skills Leadership of related projects Physical Requirements Must be able to follow established protective measures including wearing required personal protective equipment (PPE). Must possess a valid driver's license and acceptable Motor Vehicle Report. Working Conditions Office environment. Some travel and work outside of normal business hours. While working in certain areas of the plant there is the potential for exposure to hazards typical of an industrial working environment. "Disclaimer - Management may modify this job description at any time and may require the performance of additional duties, or modification of physical requirements, with or without advance notice."

L5 Network Engineer (AWS Cloud) DETAILS Location: 100% Remote Position Type: 3M+ Contract (w/ possibility of converting to fulltime) Hourly / Salary: to $120W2+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Network Engineer L5 for a 3M+ Contract (w/ the possibility of conversion to fulltime) that is remote. The Network Engineer L5 will support a large-scale Connected Enterprise initiative focused on modernizing and optimizing network infrastructure across distributed donation centers and manufacturing facilities. The Network Engineer L5 will be heavily focused on enterprise-grade, multi-site networking within hybrid cloud environments, leveraging AWS Cloud WAN, AWS Transit Gateway, satellite connectivity, and mesh Wi-Fi technologies to deliver resilient, secure, and scalable connectivity solutions. The Network Engineer L5 will work closely with cross-functional teams to integrate on-prem and cloud-based environments, support IoT connectivity initiatives, and ensure network segmentation, compliance, and operational reliability across the enterprise landscape. The Network Engineer L5 is a highly hands-on engineering role requiring deep expertise in AWS networking, enterprise infrastructure design, and modern connectivity solutions, along with strong documentation and collaboration skills. AWS Network Architecture / Design - Designing and Implementing Resilient Multi-Site Network Architectures Utilizing AWS Cloud WAN and Transit Gateway Satellite / Wireless Connectivity - Configuring and Deploying Amazon Leo Satellite Connectivity and Eero Mesh WiFi Solutions Across Manufacturing Sites and Plasma Centers Network Security / Compliance - Establishing Network Segmentation / Security Policies / Compliance Controls Aligned to Regulatory Requirements Hybrid Connectivity / Cloud Integration - Integrating OnPrem and Cloud Network Environments Ensuring Seamless Connectivity Between AWS / Enterprise Systems / Customer Facilities IoT Connectivity / Data Integration - Supporting IoT Sensor Connectivity and Data Ingestion Pipeline Configuration Across Distributed Environments Documentation / Operational Readiness - Developing and Maintaining Network Architecture Diagrams / Runbooks / Operational Documentation Cross-Functional Collaboration - Partnering Closely With DTLs and Cross-Functional Teams to Support Network Delivery and Operational Objectives JOB REQUIREMENTS Enterprise Networking - Demonstrating Enterprise-Grade Multi-Site Networking Expertise Across Distributed Infrastructure Environments AWS Cloud WAN - Designing and Supporting Global Network Connectivity Using AWS Cloud WAN Architectures AWS Transit Gateway - Implementing and Managing AWS Transit Gateway for Scalable Hybrid and Multi-VPC Connectivity Certifications - AWS Certified Advanced Networking / CCNA/CCNP (Routing / Switching / Network Architecture Expertise) / PCNSA (Supporting Security / Firewall Administration), etc. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Senior / Lead .NET Software Engineer / SRE DETAILS Location: Arlington, TX 76014 (hybrid onsite 2-days per week) Openings: 2 (1 Senior .NET / 1 Lead .NET) Position Type: 6M C2H Hourly / Salary: to $160K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior .NET Software Engineer / SRE for a 6M C2H opportunity that is located in Arlington, TX 76014 (hybrid onsite 2-days per week). About the Project: This is an ongoing multi-year digital transformation initiative (now roughly 2+ years in) focused on modernizing financial services platforms, making them more scalable, reliable, automated, and cloud-native. The .NET Engineer / SRE will be building and extending tools / frameworks for SRE practices, including automation scripts, custom monitoring, CI/CD enhancements, reliability tooling, etc. The .NET Engineer / SRE will help bridge the gap between development teams (writing .NET) and SREs (ensuring reliability at scale), especially within this strategic / tool building-focused SRE practice. This is not a traditional .NET Developer (no owning user-facing APIs or business logic for financial services), but rather applying .NET skills to SRE tasks, including building custom tools for automation, reliability, and release engineering, creating GITHub Copilot context files to embed SRE practices (security / performance checks) early in development cycles, debugging / refactoring code in production environments, performing root-cause analysis, and iterating post-deployment. Additionally, there's no traditional on-call production monitoring / support, whereas the focus will be on design, architecture, automation, and enabling scalable DevOps / SRE practices for development teams, rather than day-to-day firefighting. Ideal Senior Candidate:The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Senior Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). Ideal LEAD Candidate (leading teams of 5+): The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Lead Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). JOB REQUIREMETS .NET Core Development (hands-on core expertise) - C# / .NET Core Development Building / Maintaining Production-Grade Applications / APIs / Services Cloud Modernization - Migrating Legacy .NET Applications to Cloud-Native Azure Architectures Azure-Native Application Development - Designing / Deploying / Supporting .NET Applications Directly in Azure with Real Production Workloads (Beyond Portal-Based "Click-Ops") AKS / Containerization - Containerizing .NET Applications (Docker Multi-Stage Builds) Deploying / Managing within AKS (Deployments / Services / ConfigMaps / Secrets / Helm / Node Pools / Autoscaling / Ingress / Cluster-Level Troubleshooting) CI/CD / Azure DevOps - Building / Maintaining YAML-Based CI/CD Pipelines (Automated Builds / Testing / Security Scans / Docker Image Creation / Deployments to AKS / App Services) Azure Platform Services Integration - Integrating Core Azure Services into .NET Applications (App Services / Azure Functions / Service Bus / Event Grid / Azure Monitor / Application Insights With Custom Telemetry / Distributed Tracing / Metrics) IaC / Terraform - Developing / Managing Terraform-Based Infrastructure (AKS / VNETs / Private Endpoints / Service Bus / SQL Database / Storage) Aligned with Application Development Identity / Security (Azure) - Implementing Secure Patterns (Managed Identities / Entra ID / RBAC / Secure Connectivity / Polly Retry Policies / Private Endpoints / VNET Integration) within .NET Services Observability / SRE Practices - Applying SRE Principles within Development (Application Insights / Log Analytics / Alerting / Performance Monitoring / Production Troubleshooting) Database Design / Optimization - Oracle / MS SQL Server / NoSQL (CosmosDB) SQL Scripting (hands-on) Designing / Evolving Database Schemas Performing Query Performance Analysis Indexing to Deliver Scalable / Performant Services Problem Solving / Collaboration - Driving Root Cause Analysis / Debugging for .NET Applications in Azure Collaborating within SRE / Cross-Functional Teams PREFERRED (not required) Azure Governance / Best Practices - Azure Policy / GitHub Copilot Context / Embedding SRE Practices Early in Development Lifecycle Architecture Frameworks (Familiarity) - Azure Well-Architected Framework (Reliability / Operational Excellence) Advanced AKS / Hybrid - Exposure to Advanced AKS Topics (Cluster Autoscaling / Service Mesh / Cost Optimization) / Hybrid Scenarios (Azure Arc) AI / Automation Enablement - Driving Adoption of AI-Powered Tools (GitHub Copilot) to Improve Developer Productivity / Code Quality By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Vast is developing next-generation space stations and space infrastructure using an incremental, hardware-rich, and low-cost approach. Vast is rapidly developing its multi-module Haven Station to ensure a continuous human presence in space for America and its allies, enabling advanced microgravity research and manufacturing, and unlocking a new space economy for government, corporate, and private customers. Haven Demo's 2025 success made Vast the only operational commercial space station company to fly and operate its own spacecraft. Next, Haven-1 is expected to become the world's first commercial space station when it launches in 2027, followed by additional Haven modules. Additionally, the company recently announced Vast Satellite , a high-power satellite product line leveraging its space station components and the heritage of Haven Demo. Headquartered in Long Beach, California , and with more than 1,000 employees and over a billion dollars in private capital, Vast has built the facilities required to manufacture and operate America's next space station. The company plans to develop future habitats and systems for the Moon and Mars, dedicated space stations for government partners, and other crewed systems that will unlock the expanding long-term space economy. Vast is looking for a Staff Software Engineer, AI Tooling reporting to the Senior Manager, Software Engineering to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations. This will be a full-time , exempt position located in our Long Beach location. Responsibilities: Define the technical direction and long-term roadmap for Vast's internal AI platforms and tooling Architect and lead the development of full-stack AI applications that serve diverse use-cases across the company Establish engineering best practices, design patterns, and quality standards for AI systems development Build and maintain production-grade integrations connecting AI models with internal tools, data sources, and workflows Design and implement pipelines for AI response enforcement, content safety, and output formatting Drive the evaluation and adoption of emerging AI frameworks, models, and patterns to continuously improve internal tooling Collaborate cross-functionally with IT Infrastructure, security, and business stakeholders to integrate AI tooling with existing systems Mentor and guide other engineers contributing to AI initiatives, fostering a culture of technical excellence Ensure the reliability, observability, and scalability of production AI systems Rapidly iterate on AI tooling as the technology landscape and company needs evolve Minimum Qualifications: Bachelor's degree in computer science, math, an engineering discipline, or equivalent work experience 8+ years of software development or relevant industry experience Proven track record of leading technical initiatives from concept through production deployment Strong full-stack development proficiency with experience across both frontend and backend systems Deep understanding of AI/ML concepts, large language model architectures, prompt engineering, and modern AI tooling patterns Demonstrated experience implementing and maintaining production applications at scale Experience establishing engineering best practices and providing technical mentorship Strong cross-functional communication skills with the ability to translate technical concepts for diverse audiences Preferred Skills & Experience: Experience with Python and TypeScript in production environments Experience with Svelte or SvelteKit Experience with OpenWebUI or similar open-source AI interface platforms Experience building or integrating MCP (Model Context Protocol) servers and gateways Experience with LLM API integration and AI pipeline development Experience with containerization and deployment (Docker, Kubernetes) Familiarity with RAG (Retrieval-Augmented Generation) patterns and vector databases Experience building or leading AI/ML platforms at scale Prior experience as a tech lead or in a similar engineering leadership role Experience working in fast-paced, ambiguous environments with evolving requirements Additional Requirements: Ability to travel up to 10% of the time Willingness to work evenings and/or weekends to support critical mission milestones Ability to lift up to 25 lbs unassisted Specific certifications, as appropriate Pay Range: Senior Software Engineer, AI Tooling: $159,900 - $226,900 Staff Software Engineer, AI Tooling: $188,600 - $267,700 Pay Range: California $159,900-$267,700 USD We calibrate level and compensation to the selected candidate's experience and demonstrated capability. We welcome applicants across a range of experience levels to apply. COMPENSATION AND BENEFITS Base salary will vary depending on job-related knowledge, education, skills, experience, business needs, and market demand. Salary is just one component of our comprehensive compensation package. Full-time employees also receive company equity, as well as access to a full suite of compelling benefits and perks, including: medical, dental, and vision coverage for employees and dependents, generous paid time off; up to 20+ days of vacation for exempt staff and up to 10+ days of vacation for non-exempt staff with the ability to cash-out unused vacation annually, paid parental leave, short and long-term disability insurance, life insurance, access to a 401(k) retirement plan, ClassPass credits, personalized mental healthcare through Spring Health, and other discounts and perks. We also take pride in offering exceptional food perks, with snacks, drip coffee & onsite barista, cold drinks, and dinner meals remaining free of charge, and lunch subsidized as part of Vast's ongoing commitment to providing high-quality meals for employees. U.S. EXPORT CONTROL COMPLIANCE STATUS The person hired will have access to information and items subject to U.S. export controls, and therefore, must either be a "U.S. person" as defined by 22 C.F.R. 120.62 or otherwise eligible for deemed export licensing. This status includes U.S. citizens, U.S. nationals, lawful permanent residents (green card holders), and asylees and refugees with such status granted, not pending. EQUAL OPPORTUNITY Vast is an Equal Opportunity Employer; employment with Vast is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone. About the Role LG Commercial Displays is hiring a Senior Product Manager to own cloud platform strategy and delivery for Pro:Centric. This is an ownership role, not a coordination role. You will own the BC 3.0 migration end to end, carry the AWS cost and platform uptime targets, and make the build / buy / partner decisions that shape the next generation of the service. Pro:Centric runs across a large installed base of hospitality properties, with expansion underway into cruise, fitness, retail, senior living, and MDU. You will move that installed base onto a modern multi-tenant foundation without disrupting live properties, and build the platform the next set of industries needs. What You Own BC 3.0 migration. Full ownership of the migration roadmap, sequencing, and cutover for existing properties and partners. Includes backward compatibility, migration tooling, partner and integrator readiness, and a credible rollback path when something goes wrong at a live site. AWS cost. Own platform cloud spend. Build and maintain the cost model, run analysis by service and by tenant, set per-property and per-device cost targets, and drive optimization with engineering: rightsizing, storage tiering, reserved and savings-plan coverage, data transfer, and CDN egress. Uptime and reliability KPIs. Define and own SLOs for provisioning, content delivery, device check-in, and API availability. Own the error budget, the incident review loop, and the reliability reporting that goes to HQ and to brand partners. Platform roadmap. APIs, provisioning, device and app management, tenant onboarding. Set priorities, make the trade-offs, and defend them. Monetization services. Identify and build the business case for revenue services layered on the platform: upsell, loyalty and micro-spend, transaction flows. Security and compliance posture. Ensure the platform meets partner and brand security requirements as it scales across regions. How You Will Work This role sits across three engineering and product groups and needs credibility with all of them. Lincolnshire engineering. Your day-to-day delivery partner. You will be in their planning, reviews, and escalations. Lincolnshire product. Peer product managers covering adjacent surfaces including webOS applications, channel services, and device firmware. Your roadmap has to line up with theirs. HQ engineering (Korea). Platform architecture and prioritization decisions ultimately land here. You will negotiate scope, sequencing, and design across a time zone gap and a language gap. Expect regular early-morning or late-evening calls and periodic travel. Partners and integrators. Brands, system integrators, and cloud and service vendors. Influence is the core skill. You will not have direct authority over most of the engineers building what you specify. This role works if you can win technical arguments on merit, hold a roadmap under pressure, and get real commitment from teams that do not report to you. What Success Looks Like In the first twelve months: BC 3.0 migration plan approved by HQ and Lincolnshire, with committed sequencing for the installed base An agreed share of properties migrated, with no severity-1 incidents attributable to the migration Cloud cost per property baselined and reduced against a stated target Published SLOs in place and consistently met, with regular reporting to HQ and brand partners A prioritized, funded roadmap for at least one new monetization service Required Qualifications 10+ years in technical product management, including 5+ owning cloud or platform products Demonstrated ownership of a major platform migration involving a live installed base. You have run a cutover, not only planned one. Hands-on AWS depth. You can read a cost and usage report, challenge an architecture on cost grounds, and hold your own with a principal engineer. Experience defining and operating SLOs, SLIs, and error budgets for a production service Multi-tenant SaaS architecture and API-first design (REST, GraphQL, event-driven) Proven ability to influence and drive delivery across teams you do not manage, including across geographies Ability to manage a product portfolio: prioritization, trade-offs, lifecycle, and sunset decisions Strong communication with engineers and executives alike, including defending a technical decision in a business review Preferred Qualifications CTV, hospitality, or enterprise display platforms CDN, streaming and video delivery, or IoT / device fleet management at scale Familiarity with MCP or similar integration frameworks Monetization services, payment, or transaction integrations Security and compliance frameworks such as ISO 27001, SOC 2, or GDPR Experience working with Korea-based engineering organizations Mentoring or managing product managers Pragmatic application of AI/ML to business outcomes rather than experimentation Recruiting Range $135,000-$160,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: or . This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Note: By applying to the Senior / Lead Software Engineer - Full Stack posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTUREFORCE FOR OPPORTUNITIES About the Product Team As a Software Engineer on the Product Team, you'll turn ambiguous product problems into high-quality shipped software-partnering closely with product and design to define what we build, how we build it, and how we measure success. You'll work on the core workflows that matter most to customers, from the UI they touch every day to the backend services and data models that power them. You'll also help us translate emerging AI capabilities into practical, reliable product experiences. That means choosing the right techniques for the job, designing clear interfaces between AI components and the rest of the system, and ensuring the resulting features are observable, testable, and maintainable. If you enjoy moving from concept to implementation quickly-and iterating based on real usage-this role is built for that. What You'll Do Ship full-stack product features end-to-end across frontend, backend, and data Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value Own delivery from scope/design through launch, monitoring, and iteration Solve ambiguous, technically challenging problems with pragmatic, scalable solutions Partner closely with product, design, and engineering to shape requirements and roadmap Improve performance, reliability, and overall product quality at enterprise scale Contribute to strong engineering culture through code review, tooling, and process improvements Who You Are Experience: 5+ years of experience in professional software development Proven experience shipping production full-stack web applications Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar) Comfortable operating in ambiguity and driving work forward independently Product-minded: you care about UX and customer outcomes, not just implementation Strong communicator and collaborator across functions Ownership mindset and bias for action Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most) Curious and continuously learning Nice to Have Experience with enterprise SaaS (especially B2B marketing or sales tech) Experience with real-time systems (chat, messaging, event-driven) Familiarity with Salesforce/CRM integrations Experience building agentic systems or autonomous tool-using workflows Startup experience and rapid shipping Why Us? Build real product with real impact: Ship customer-facing features that directly improve pipeline generation and the day-to-day workflows of go-to-market teams at major enterprises. Work across the full stack: Own meaningful slices of the product across frontend, backend, and data-optimizing for speed, quality, and maintainability. AI as a core product surface: Help turn new AI capabilities into dependable experiences that customers trust, with strong engineering around evaluation, observability, and iteration. High bar, low bureaucracy: Work with a team that values craft and decisive execution, where strong ideas win and shipping is the default. Room to grow: Take on larger technical and product scope over time-leading projects, influencing architecture, and leveling up quickly. Benefits & Perks Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information Check out our Salesforce Engineering Site. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Note: By applying to the Senior / Lead Software Engineer - Full Stack posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTUREFORCE FOR OPPORTUNITIES About the Product Team As a Software Engineer on the Product Team, you'll turn ambiguous product problems into high-quality shipped software-partnering closely with product and design to define what we build, how we build it, and how we measure success. You'll work on the core workflows that matter most to customers, from the UI they touch every day to the backend services and data models that power them. You'll also help us translate emerging AI capabilities into practical, reliable product experiences. That means choosing the right techniques for the job, designing clear interfaces between AI components and the rest of the system, and ensuring the resulting features are observable, testable, and maintainable. If you enjoy moving from concept to implementation quickly-and iterating based on real usage-this role is built for that. What You'll Do Ship full-stack product features end-to-end across frontend, backend, and data Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value Own delivery from scope/design through launch, monitoring, and iteration Solve ambiguous, technically challenging problems with pragmatic, scalable solutions Partner closely with product, design, and engineering to shape requirements and roadmap Improve performance, reliability, and overall product quality at enterprise scale Contribute to strong engineering culture through code review, tooling, and process improvements Who You Are Experience: 5+ years of experience in professional software development Proven experience shipping production full-stack web applications Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar) Comfortable operating in ambiguity and driving work forward independently Product-minded: you care about UX and customer outcomes, not just implementation Strong communicator and collaborator across functions Ownership mindset and bias for action Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most) Curious and continuously learning Nice to Have Experience with enterprise SaaS (especially B2B marketing or sales tech) Experience with real-time systems (chat, messaging, event-driven) Familiarity with Salesforce/CRM integrations Experience building agentic systems or autonomous tool-using workflows Startup experience and rapid shipping Why Us? Build real product with real impact: Ship customer-facing features that directly improve pipeline generation and the day-to-day workflows of go-to-market teams at major enterprises. Work across the full stack: Own meaningful slices of the product across frontend, backend, and data-optimizing for speed, quality, and maintainability. AI as a core product surface: Help turn new AI capabilities into dependable experiences that customers trust, with strong engineering around evaluation, observability, and iteration. High bar, low bureaucracy: Work with a team that values craft and decisive execution, where strong ideas win and shipping is the default. Room to grow: Take on larger technical and product scope over time-leading projects, influencing architecture, and leveling up quickly. Benefits & Perks Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information Check out our Salesforce Engineering Site. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara is seeking a Data Engineer to join our Data team, comprising both Data Scientists, Data Analysts, and Data Engineers. Our team is at the forefront of enhancing data analysis efficiency and effectiveness. Our data engineers develop and maintain data pipelines integral to our analytics data model. As a Data Engineer, your primary responsibility will be designing and maintaining data pipelines, primarily utilizing SparkSQL and Pyspark, within our central data lake. These pipelines are crucial for ingesting and transforming source data from our IOT devices and software products into our core data model, facilitating statistical analysis, model training, and dashboard creation. This is a remote position open to candidates residing in the US. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact - helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win - together. In this role, you will: Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured data like video and audio, Samsara sensor & product data, and customer metadata. Access, manipulate, and integrate external datasets with internal data. Deliver high-quality data with strong uptime and reliability requirements, including customer-facing data sets. Collaborate closely with cross-functional teams such as Data Science & Analytics, AI/ML, and other Data Engineers to ensure high-quality data for diverse purposes from causal inference, model training, and dashboarding. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: BA / MS degree in Computer Science, Statistics, or a related discipline. 4+ years experience in a data engineering-focused role. Demonstrated experience in designing data models at scale. Proficiency in building ETL pipelines to handle large volumes of data. Experience with Spark-based data platforms. Strong command of at least one data orchestration tool (e.g Airflow, Dagster, or Prefect). Expertise in SQL, Python, and working with REST APIs. Familiarity with software engineering fundamentals and reading backend development code. Experience with version control systems such as Git/GitHub. An ideal candidate also has: Familiarity with time series data and late-arriving data. Knowledge of Databricks, Delta Lakes, and Dagster. Previous experience working in a public cloud (e.g AWS, GCP, Azure). Exposure working on a data model for a product's first-party data. Exposure to complex data, including ML outputs and/or client-side signals. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $99,365-$167,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending For more information regarding fraudulent employment offers, please visit our blog post here.