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Senior Platform Engineer, Workday Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that's leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One's Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions. General Responsibilities: * Work with product owners to understand desired application capabilities and testing scenarios * Understand and translate the priorities of the business while integrating HR value proposition and strategies to meet the needs of the business * Deliver solutions in Workday Recruiting, through efficient and organized processes while maintaining high standards * Effectively communicate across team, Product Owner, stakeholders and influence solutions across business partners * Identify opportunities for process improvements, collaborate with HR partners to provide innovative ideas and insights to redesign business processes that will optimize business results. * Continually research, test and stay up-to-date on Workday updates, fixes and capabilities * Build & maintain thorough documentation for system implementation * Primary contact for questions related to how the system works from a business and a technical perspective * Provide production support for Workday by troubleshooting problems, testing, and working with the business to resolve issues Basic Qualifications: * High School Diploma, GED, or equivalent certification * At least 4 years of experience with Workday functional configuration tasks (Recruiting, HCM) * At least 2 years of experience configuring business processes within the Workday platform * At least 1 year of experience with calculated fields or custom reports Preferred Qualifications: * Bachelor's degree * 5+ years of experience with Workday functional configuration (Recruiting, HCM) * 2+ years of experience with Workday Integrations * Experience working in an agile delivery environment * Workday or Workday Pro certifications (HCM, Recruiting) * 2+ years of experience with Workday Security or Workday Reporting * 1+ years of experience loading HCM data into Workday using existing Enterprise Interface Builders (EIB's) At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). 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: $127,500 - $145,500 for Senior Platform Engineer Chicago, IL: $115,900 - $132,200 for Senior Platform Engineer McLean, VA: $127,500 - $145,500 for Senior Platform Engineer New York, NY: $139,100 - $158,700 for Senior Platform Engineer Plano, TX: $115,900 - $132,200 for Senior Platform Engineer Richmond, VA: $115,900 - $132,200 for Senior Platform Engineer 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).

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences 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. McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning Engineer 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).

Lead Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer San Francisco, CA: $211,000 - $240,800 for Lead Machine Learning Engineer 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).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Sales Territory: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning Engineer 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).

Senior Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior Machine Learning Engineer San Francisco, CA: $173,000 - $197,400 for Senior Machine Learning Engineer 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).

Lead Platform Engineer (Network Infrastructure) Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting Network Infrastructure with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. General Responsibilities: Network engineer responsible for designing, implementing, managing and troubleshooting computer networks to ensure efficient and secure communication within the Capital One network. Role would include, but not limited to: • Network Design & Architecture - Planning and developing network infrastructure based on business needs. Creating Bill of Materials and getting quotes from vendors. Ordering and installing network circuits., • Installation & Configuration - Setting up routers, SD-WAN routers, switches, Out of Band management and other network equipment., • Maintenance & Optimization - Monitoring performance, troubleshooting issues, and optimizing network efficiency., • Security Management - Implementing security measures to protect against threats., • Support & Troubleshooting - Diagnosing and resolving connectivity and performance issues., • Upgrades & Scalability - Keeping networks updated with the latest technology and ensuring they can scale as the organization grows., • Work with various networking technologies including LANs, WANs, SDWANs, VPNs, cloud networking and wireless networks, ensuring seamless communication and data transfer. Automation and scripting is highly desired to have., • Brands of hardware- Cisco, Versa SDWAN, Lantronix. Basic Qualifications:, • High School Diploma, GED, or equivalent certification, • At least 6 years of experience using build and deployment tools (Jenkins, GitHub, or Artifactory), • At least 4 years of experience with AWS, • At least 2 years of team leadership experience Preferred Qualifications:, • 5+ years of experience with Cisco network hardware and software Chicago, IL: $144,000 - $164,400 for Lead Platform Engineer McLean, VA: $158,400 - $180,800 for Lead Platform Engineer New York, NY: $172,800 - $197,200 for Lead Platform Engineer Plano, TX: $144,000 - $164,400 for Lead Platform Engineer Richmond, VA: $144,000 - $164,400 for Lead Platform Engineer San Francisco, CA: $172,800 - $197,200 for Lead Platform Engineer San Jose, CA: $172,800 - $197,200 for Lead Platform Engineer 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).

Senior Platform Engineer, Workday Integration (Extend) Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.We are seeking Platform Engineers who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that's leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One's Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions. General Responsibilities : * Design, develop, test, and deploy custom applications and extensions using Workday Extend, including Workday Studio, Orchestrations, Workday APIs, and related technologies. * Collaborate with HR business partners, product owners, and other stakeholders to gather requirements, define technical specifications, and ensure solutions align with business needs. * Deliver solutions in Workday across HCM, Recruiting, Compensation, Payroll and Benefits through efficient and organized processes while maintaining high standards * Develop and maintain integrations between Workday and other internal/external systems using Workday Studio, Orchestrations, Enterprise Interface Builder (EIB), Core Connectors, and other integration tools. * Perform unit testing, system integration testing, and support user acceptance testing (UAT) to ensure high-quality and defect-free solutions. * Document technical designs, development processes, and support procedures. * Effectively communicate across team, Product Owner, stakeholders and influence solutions across business partners * Identify opportunities for process improvements, collaborate with HR partners to provide innovative ideas and insights to redesign business processes that will optimize business results. Basic Qualifications: * High School Diploma, GED, or equivalent certification * At least 4 years experience in platform engineering on HR platforms (Workday, Peoplesoft, or Successfactors) * At least 2 years of experience designing and developing integration solutions * At least 2 years of experience working with APIs within the Workday environment using REST or SOAP Preferred Qualifications: * Bachelor's Degree * 5+ years of experience working with Workday Human Resources modules including HCM, Payroll, Benefits, Recruiting or Talent and Performance Management * 3+ years of experience designing and developing integration solutions in Workday using Core Connectors, Workday Studio, Custom Reports or RaaS solutions * 3+ years of experience working with APIs within the Workday environment using REST or SOAP * Workday Integration Developer certifications * 1+ years of experience designing and developing solutions using Workday Extend * 1+ years of experience with AWS, GCP, Microsoft Azure or another cloud service * 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $127,500 - $145,500 for Senior Platform Engineer Chicago, IL: $115,900 - $132,200 for Senior Platform Engineer McLean, VA: $127,500 - $145,500 for Senior Platform Engineer New York, NY: $139,100 - $158,700 for Senior Platform Engineer Plano, TX: $115,900 - $132,200 for Senior Platform Engineer Richmond, VA: $115,900 - $132,200 for Senior Platform Engineer San Francisco, CA: $139,100 - $158,700 for Senior Platform Engineer Wilmington, DE: $115,900 - $132,200 for Senior Platform Engineer 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).

Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer 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).

Sr. Lead Machine Learning Engineer, Shopping (Remote-Eligible) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One Shopping, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Lead Machine Learning Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer 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).

Senior Lead, Machine Learning Engineer (Enterprise Platform Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences 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. McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning Engineer 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).

Join Australia’s largest independent health, wellness, and beauty powerhouse! Part of DBG Health, headquartered in Australia, we’re driven by our mission to deliver affordable and innovative solutions that enhance well-being for millions of customers. With over 1,000 dedicated professionals, we lead the way in pharmaceuticals, consumer goods, beauty, health, and wellness, backed by a portfolio of trusted brands. VidaCorp, our consumer division, represents market-leading names like MCoBeauty, Esmi Skin Minerals, Nude by Nature, SunSkills, PONi cosmetics and more, offering premium-quality, accessible products that resonate with consumers domestically and internationally. As we embark on significant global expansion, we are proud to announce the European launch of MCoBeauty, starting in London. Known for its innovative and high-quality cosmetics, MCoBeauty embodies our commitment to empowering individuals to embrace their beauty while delivering exceptional value. This milestone underscores VidaCorp's ambition to redefine global health and beauty standards, bringing innovative, accessible solutions to new markets. Be part of our exciting growth journey and shape the future of global health, wellness, and beauty. Soon, we'll expand in this market further by launching Nude by Nature and Esmi Skin Minerals. Join a team that values creativity, innovation, and customer impact as we continue to grow and redefine what's possible. Role Overview The Insights Analyst is a highly data-driven role responsible for turning complex datasets into actionable insights that directly impact retailer partnerships, distribution strategies, and brand growth. This role requires someone who thrives in fast-paced environments, loves working with numbers, and can balance both detailed analysis and big-picture storytelling. Key Responsibilities Data Analytics & Reporting • Own weekly, monthly, and quarterly sales reporting across multiple retailers (Target, Walmart, Kroger, Amazon, DTC, etc.)., • Develop dashboards and models in Power BI and Excel to track KPIs such as $ sales, unit sales, ASP, velocity, distribution, and promotional ROI., • Support sell-in and sell-out forecasting by transforming large datasets into easy-to-digest insights for leadership., • Analyze performance by brand, category, and SKU to identify growth drivers and underperformers., • Evaluate promotional impact (discount depth, timing, competitor activity) and recommend strategies to maximize ROI., • Partner with Marketing to track the effectiveness of digital ads, influencer campaigns, and seasonal activations. Commercial & Strategic Support • Assist in building retailer presentations (Target, Kroger, Walmart, etc.) by synthesizing data into compelling visuals and narratives., • Provide insights to support planogram resets, fixture investments, and in-store display programs., • Collaborate cross-functionally with Sales, Marketing, Design, and Supply Chain teams to ensure aligned business decisions. Process & Tools • Maintain and improve master product and week alignment tables to ensure accurate reporting across all customers., • Streamline data processes in Power Query / Power BI to enhance automation and accuracy., • Manage ad hoc deep-dive analyses (e.g., price elasticity studies, competitor benchmarking, category reviews). Qualifications • 2+ years of experience in data analysis or commercial insights, • Advanced proficiency in Power BI, Power Query, and Excel (DAX experience strongly preferred)., • Strong understanding of syndicated data (Circana/IRI/NielsenIQ), retailer POS systems, and Panel data., • Highly detail-oriented with the ability to translate numbers into actionable stories., • Strong communication skills to influence cross-functional teams and senior leadership., • Passion for beauty, consumer trends, and retail innovation.

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Job DescriptionCompany Description OUR MISSION Inspiring what’s possible for every learner. Every great company has a culture that makes it unique; a compelling sense of purpose that drives people to show up to work each day. For Macmillan Learning, that purpose is to inspire what’s possible for every learner. We are energized by that mission and by our role as a positive force in education. We know that what we do makes a difference and we work everyday to unlock the potential of every learner, actively participating in each one’s educational life with our course materials and digital tools. As a privately-held, family-owned company, we provide our employees with the freedom to focus on what’s most important: the students. Job Description At Macmillan Learning, we're committed to driving innovation that transforms education. We seek team members who thrive on pushing boundaries, envisioning future possibilities, and building solutions that make a lasting impact. Whether you're a Pioneer shaping bold new ideas, a Builder turning possibilities into reality, or a Stabilizer optimizing for success, you'll play a vital role in advancing our mission. If you're excited by the prospect of testing new technologies, implementing transformative strategies, and thriving in a fast-paced, innovative environment, we’d love to hear from you! The Marketing Manager, AI Content Experience Engineer is responsible for developing and executing AI-powered content strategies that create immersive, personalized experiences across all College Marketing experiential touchpoints while serving as the bridge between content creation, technology, content analytics, and experiential strategy. This role focuses on leveraging artificial intelligence to enhance live events, digital experiences, and interactive brand moments through systematic content engineering that structures, optimizes, and integrates content across various digital platforms. You'll work closely with the Associate Director of Experiential Marketing, Content Marketing Strategy, and Campaign Strategy, and Brand Experience to build scalable content systems and workflow automation that transforms data and insights into review-ready content marketing assets. This position requires deep understanding of AI content tools, prompt engineering, technical content infrastructure, and experiential storytelling, as you'll be responsible for everything from crafting AI prompts for experiential content to building content automation workflows and analyzing complex data sets for actionable insights. This role directly impacts experiential content quality, technical content performance, and organizational content capabilities while building the foundation for sustainable, AI-enhanced content operations that create lasting brand memories through systematic content engineering. This role manages other employees. We know that talented candidates sometimes hesitate to apply when they don't meet every single qualification listed. We encourage you to apply if you're excited about this role and believe you can contribute meaningfully to our team, even if your background doesn't align perfectly with every requirement. We're looking for people who are passionate about our mission and can bring valuable perspectives to our work. Different experiences, skills, and approaches all have the potential to strengthen what we do. If this opportunity interests you, we'd love to hear how your unique background and abilities could contribute to our team's success. We're committed to building a workplace where everyone can do their best work and where diverse viewpoints are valued. We encourage all qualified candidates to apply - we're excited to learn about the different ways you might add value to our organization. Major responsibilities include, but are not limited to: AI Content Strategy & Systems Architecture for Experiential Marketing • Design and execute comprehensive AI-powered content strategies that support live events, webinars, conferences, website, and immersive brand experiences through systematic content engineering approaches., • Craft and refine prompts for AI tools (GPT-4, Claude, Descript) to produce desired experiential content outputs ensuring accuracy, relevance, and brand consistency., • Create and manage AI content automation workflows that transform experiential data and insights into ready-to-publish assets for events and brand activations., • Architect structured content types, personalization techniques, and interactive experiences powered by AI specifically for experiential marketing applications., • Define site architecture, internal linking structures, and schema strategies specifically for experiential content optimization and event-related digital properties., • Implement programmatic SEO practices and Generative Engine Optimization (GEO) to ensure AI-powered search visibility for experiential content and event discovery., • Collaborate with developers to integrate content systems within CMS platforms for experiential marketing needs and event content management., • Build and maintain content automation workflows that support real-time content adaptation during live experiences and events., • Utilize AI-driven analytics tools to gain insights from experiential and content data to extract actionable intelligence for strategy refinement., • Analyze and interpret complex data sets from experiential touchpoints to drive data-driven content strategies for events and brand experiences., • Create and manage experiential content and Share of Voice dashboards that measure engagement rates, brand sentiment, experience quality scores, and post-event content performance metrics., • Conduct systematic analysis of AI-generated content effectiveness using technical measurement approaches., • Evaluate, test, and recommend new AI content creation platforms and technical tools specifically for experiential marketing applications., • Manage relationships with AI content vendors and stay current on emerging content engineering technologies for live events and brand experiences., • Develop internal AI content capabilities and establish best practices for prompt engineering, content automation and technical content optimization., • Create comprehensive documentation and training materials for AI content tools, technical processes, and content engineering workflows., • Monitor AI tool performance, costs, and ROI through systematic technical analysis specifically for experiential marketing applications.Qualifications Required Qualifications: • Bachelor's Degree, • A minimum of 3 years experience as a Marketing Manager., • 1-3 years experience with Multi-channel marketing campaign execution., • 2-4 years of Project management experience., • Creative campaign direction experience., • Strong desire for Cross-functional collaboration., • Familiarity with structured content models and leveraging reusable components to deliver content across dynamic, experiential platforms., • Working knowledge of Generative Engine Optimization (GEO) and programmatic SEO to enhance discoverability of AI-generated experiential content., • Demonstrated experience designing and optimizing AI-powered content strategies using tools such as ChatGPT (GPT-4), Claude, or Descript in support of events, brand activations, or immersive marketing experiences., • Collaborative presence and approach., • B2B marketing experience. Exemption Status: Exempt Physical Requirements: Requires periods of close concentration; must be able to multi-task; must be able to travel occasionally; work overtime - more than 40 hours a week – regularly, as needed The position is eligible for remote employment, excluding the following locations: Alaska, Arkansas, Hawaii, Mississippi, Nevada, South Dakota, West Virginia, Wyoming. Additional Information Benefits Regular full-time and qualifying part-time employees and their dependents are eligible for Macmillan benefits, effective on the employee’s date of hire. Macmillan also offers health benefits coverage to qualifying same-sex and opposite-sex domestic partners (may require additional documentation) of active employees. • Competitive pay and bonus plan, • Generous Health Benefits (Medical, Dental, Vision), • Contributions to your 401k retirement account through Fidelity, • Generous paid time off, sick time, floating holidays, and paid holidays (Spring Reset Day , Juneteenth, Indigenous People's Day, Election Day, and more!), • Employee Assistance Program, Education Assistance Program, • 100% employer-paid life and AD&D insurance We are an Equal Opportunity Employer. We are actively seeking job applicants who reflect a broad representation of differences, including race, ethnicity, religion, sex, sexual orientation, gender identity/expression, physical ability, neurodiversity, age, veteran, family and economic status and background, geographical background and status, and perspective. We believe that the best companies reflect the incredible diversity in viewpoints, backgrounds, and identities of the world in their staffs, and are committed to inclusive hiring across departments and levels. You can read more about our Diversity, Equity, & Inclusion initiatives here. The successful candidate for this position will be an employee of Bedford, Freeman & Worth Publishing Group, LLC d/b/a Macmillan Learning. Bedford Freeman & Worth Publishing Group, LLC has developed an affirmative action program in compliance with the NY Department of Education’s guidance. Portions of the affirmative action program are available for review by applicants and employees by contacting Human Resources at Macmillan Learning.

Job DescriptionSalary: $80,000$86,000/YR AnswerLab is a leader in user experience research and strategy, partnering with the worldsmost influential brands to create experiences people love. For over 20 years, weve helpedorganizations stay ahead of disruption by combining rigorous human insights withforward-looking strategy in areas such as AI, emerging technologies, global productecosystems, and inclusive design. Our work fuels growth by enabling companies to makeconfident, evidence-based decisions that put people at the center of product and serviceinnovation. Were seeking a strategic and hands-on Marketing Communications Specialist to elevate AnswerLabs brand via a strong voice, content and presence, and event strategy. This role is ideal for someone who thrives at the intersection of storytelling, digital engagement, and strategic execution. Youll collaborate across the organization, including researchers, product leads, and executives, to translate complex insights into compelling, on-brand communications that position AnswerLab as the partner of choice for global brands navigating innovation and change. Key Responsibilities: Content Development & Optimization • Lead development of high-impact content, including blogs, case studies, research reports, email campaigns, press releases, and sales enablement collateral., • Partner with subject matter experts to turn technical insights into accessible and compelling stories., • Own the editorial calendar, ensuring alignment with business goals, campaigns, and market trends., • Work with SEO partners to optimize content for search, discoverability, and LLM performance., • Provide regular reporting on engagement, reach, and impact, with a focus on continuous improvement. Events • Partner with PR agency to secure speaking engagements, webinars, and event opportunities that build AnswerLabs brand awareness and authority., • Support the creation of executive bylines, op-eds, and perspectives to expand AnswerLabs voice in the industry., • Develop and manage event campaigns from planning through post-event follow-up, ensuring ROI measurement. Social Media & Community Building • Own AnswerLabs LinkedIn and Instagram strategy and presence, creating contentthat drives awareness, engagement, and client trust., • Support selective use of YouTube and other channels to extend reach of thoughtleadership and case studies., • Monitor performance and optimise based on analytics and benchmarks. Marketing Operations & Systems • Use HubSpot (and other martech tools) to build, launch, and track campaigns., • Partner with sales enablement to align content with revenue-generation priorities., • Manage and maintain AnswerLabs digital asset library and collateral., • Explore and pilot new AI-driven marketing tools to improve efficiency and creativity. Knowledge, Skills, and Experience We understand that outstanding candidates can come from a variety of backgrounds. While specific experience is important, we are ultimately looking for individuals with the personal characteristics to thrive in a growing, client-focused business. The ideal candidate will likely meet many or most of the following criteria: • 3 - 5 years of marketing communications experience, ideally in high-growth B2B,consulting, or professional services environments., • Proven ability to craft compelling content across multiple formats and audiences., • Strong event planning and management skills., • Expertise in LinkedIn strategy and social media thought leadership., • Proficiency with marketing automation (HubSpot preferred), analytics tools (HubSpot, GA4), and reporting., • Familiarity with SEO/LLM best practices and content optimization., • Bachelors degree in Marketing, Communications, or related field. Ideal candidate: • Excellent stakeholder management and cross-functional collaboration skills., • Highly organized, detail-oriented, and able to manage multiple priorities., • Proactive, idea-generator who thrives on curiosity and is comfortable working in afast-evolving space (AI, emerging tech, UX, strategy). AnswerLab Core Values • Build trust, • Provide amazing service, • Support and encourage inclusivity, • Jump in to help others, • Handle change with flexibility, • Innovate our products and processes, • Explore creative solutions to challenges, • Make AnswerLab a great place to work Physical Requirements • Extended hours may be required to meet project deadlines, • Willingness to work shifted hours to service different time zones, • Sitting for extended periods of time Additional Information At AnswerLab, our mission is to create experiences people love. This means we strive to make our company a great place to work for people from all walks of life. Hiring people from a wide variety of backgrounds makes our company stronger and helps us achieve our mission. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class. Information collected and processed as part of any job application you choose to submit is subject to AnswerLab's Privacy Policy: .

Job Description Cogency Global Inc. THE RIGHT RESPONSE AT THE RIGHT TIME, EVERY TIME Position Title: Email Marketing Specialist Location: New York Employment Type: Fulltime – Exempt Hours: 9:00 am to 5:00 pm Salary: $80,000-$85,000 Reports to: Digital Marketing Manager Location: NYC Role Summary We are searching for an analytical yet creatively minded Email Marketing Specialist who treats every send as an experiment and every journey as an opportunity to build lasting relationships. This is a newly created position. You will have the latitude to shape the role’s processes, best practices and success metrics, so an independent, builder’s mentality is essential. You will design, build, and optimize acquisition and retention programs in HubSpot, Salesforce and Mailchimp, using data to drive segmentation, targeting and continuous improvement throughout the client journey. The role sits at the intersection of business development and client success, advancing prospects through the funnel while owning key retention and upsell touch-points in partnership with Marketing, the new BDR and Sales teams. You will collaborate closely with the Digital, Brand, Content, and BDR teams, ensuring every campaign is data-driven, engaging and aligned with Cogency’s FY25-27 growth priorities. Key Responsibilities Campaign Execution & Optimization · Partner with AEs and BDRs early to refine messaging, offers and timing for key accounts. • Create programs for:, • Acquisition: prospecting and lead-nurture campaigns Technical Excellence • HTML/CSS: hand-code responsive, accessible templates; build drag-and-drop modules for scale., • Segmentation & Targeting: use HubSpot properties, lifecycle stages, and engagement signals (opens and clicks, On24 attendance, form fills) to target by ICP, stage, and behavior., • List Health & Deliverability: Reduce bounces and unsubscribes via sunset policies, re-engagement streams, frequency capping, and preference-center routing; enforce suppression lists and opt-out compliance., • Workflows & Journeys: Architect multi-branch HubSpot workflows with enrollment caps, exit conditions, and error notifications to protect client experience., • Translate Brand/Content assets into email experiences aligned with tone and design standards; create reusable modules/snippets for speed and consistency., • Serve as the email subject-matter expert on the cross-functional Retention Project; advise on cadence, messaging, and segmentation., • Facilitate work-shopping sessions with AEs to capture real-world objections and translate them into lifecycle content. · Own journey-level reporting in HubSpot and Salesforce dashboards, covering: o Engagement: opens, CTR, CTOR o Conversion: form fills, meetings booked, MQL → SQL → Closed-Won o Retention: renewal rate, cross-sell revenue uplift, churn or reactivation trends o List Health: bounces, unsubscribes, spam complaints, inactive cohorts · Provide insight-driven recommendations on what to scale, pause, or test next for leadership. Qualifications Must-Have Technical Skills • 3–5 years hands-on email marketing and automation experience (HubSpot required; Salesforce and Mailchimp preferred)., • Proficiency in responsive HTML/CSS for email; comfortable with HubSpot Design Manager., • Advanced segmentation and targeting based on ICPs, lifecycle stage and behavioral engagement; comfortable with Active Lists, properties and dynamic content rules., • Proven ability to create and manage automated workflows/journeys (enrollment triggers, branching logic, goals, suppression, exit criteria)., • Strong grasp of list health management (sunset policies, re-engagement, frequency caps, preference center) to reduce bounces and unsubscribes., • Data fluency with the ability to build HubSpot dashboards and narrate insights for leadership., • Clear, concise copywriting that can adapt from prospecting to relationship-building tones., • Confident facilitator, comfortable looping AEs into journey planning early and synthesizing feedback., • High attention to detail, strong QA discipline and a sharp design sense. Nice-to-Haves • ABM, loyalty, or dedicated retention-marketing experience., • Exposure to AI-driven personalization or predictive lead scoring. · Acquisition: demonstrable growth in Lead → MQL → SQL conversions attributable to email programs. · Retention & Upsell: measurable improvement in client renewal rates and cross-sell revenue. · Engagement: sustained gains in CTR, CTOR, and open rates above industry benchmarks while maintaining stable or declining unsubscribe rates; active engagement from top-tier clients. · List Health: healthy bounce rates, a shrinking inactive segment, and successful re-engagement outcomes. · Deliverability & Scale: a strong sender reputation with consistent inbox placement as program volume grows. · Corporate Communications: timely, brand-aligned delivery with positive internal and client feedback. Why Join Us Marketing is central to Cogency’s high-growth, PE-backed roll-up strategy. As our Email Marketing Specialist, you will architect the programs that acquire new clients, deepen existing relationships, and amplify Cogency’s brand voice across the corporate, financial, and legal markets we serve — all while helping define the role itself and laying the foundation for long-term lifecycle excellence. Ready to turn experiments into scalable growth? Let’s talk. Together, we live our Core Values Integrity: Doing the Right thing even when no one will know and walking the talk Fairness: We have an open-door policy with access to all including the CEO at any time in a friendly & collaborative environment. Fun: We believe in a fun work environment & have many team events that support the ‘fun’ culture No Lay off strategy: We believe loyalty must go first from management to staff and we are proud of this unique strategy ...and to further support our staff, we offer: · Relaxed and Casual dress code for Summer months & Fridays · Educational assistance program for all of our eligible staff members · Continuous Learning is encouraged through our Quarterly New Hire Seminars & Knowledge Sharing sessions · An Organization that gives back to Society – We offer Paid community service days to all our eligible staff members and NYC Headquarters participates in number of charity drives throughout the year · A commitment to diversity & inclusion · 401k up to 5% price match, Access to FSA, Pre-Tax Transit benefit · 80% covered Medical Insurance & 80% covered Dental & Vision insurance Company DescriptionCogency Global Inc. is a professional registered agent company that provides nationwide and international corporate, secured transactions, real property, court, agency and library services for all industries, including the nonprofit sector. Established in 1980, Cogency Global is qualified to act as registered agent in all 50 states and the District of Columbia and provides statutory representation and process agent services for tens of thousands of companies across the country. The company also offers registered agent, corporate and secured transaction services in many other countries throughout the world. With full-service offices in key cities from coast to coast in the U.S. and offices in Hong Kong and the United Kingdom, Cogency Global has become a global resource for its customers.Cogency Global Inc. is a professional registered agent company that provides nationwide and international corporate, secured transactions, real property, court, agency and library services for all industries, including the nonprofit sector. Established in 1980, Cogency Global is qualified to act as registered agent in all 50 states and the District of Columbia and provides statutory representation and process agent services for tens of thousands of companies across the country. The company also offers registered agent, corporate and secured transaction services in many other countries throughout the world. With full-service offices in key cities from coast to coast in the U.S. and offices in Hong Kong and the United Kingdom, Cogency Global has become a global resource for its customers.

Distinguished Data Engineer - Card Data Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. About the Team: Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank's core profitability and security, this is your team. This leader must have the ability to attract and recruit the industry's best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics. Our Distinguished Engineers Are: * Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices * Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community * Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: * Bachelor's Degree * At least 7 years of experience in data engineering * At least 3 years of experience in data architecture * At least 2 years of experience building applications in AWS Preferred Qualifications: * Masters' Degree * 9+ years of experience in data engineering * 3+ years of data modeling experience * 2+ years of experience with ontology standards for defining a domain * 2+ years of experience using Python, SQL or Scala * 1+ year of experience deploying machine learning models * 3+ years of experience implementing big data processing solutions on AWS 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. Chicago, IL: $239,900 - $273,800 for Distinguished Data Engineer McLean, VA: $263,900 - $301,200 for Distinguished Data Engineer New York, NY: $287,800 - $328,500 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished Data Engineer 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).

Lead Machine Learning Engineer (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer 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 Description Company: HireEmerald.com Type: Remote | Part-Time | Internship Commitment: ~5 hours/week About the OpportunityLooking to break into international business, recruiting, or sales while actually getting paid for it? HireEmerald.com is offering a unique, resume-boosting internship where you'll connect with CEOs, high-profile companies, and talent across the globe — all while building your LinkedIn presence and learning real-world automation tools. We’re recruiting 10 driven students to join our squad. You’ll start together, grow together, and who knows — maybe even land a paid position down the line. What You’ll Gain • Paid experience — earn:, • $25 per qualified sales meeting (SQL) completed, • Decision Maker, • Hiring, • Completed Meeting, • $400 OR 20% of net revenue from matches (whichever is greater), • Beef up your LinkedIn — We’ll help you level up your profile to impress recruiters, investors, and future employers, • Learn automation tools — get your hands dirty with real-world outreach automation, • Network with guest speakers — from industry pros to seasoned CEOs, • LinkedIn Outreach:, • Access and manage a LinkedIn recruiter and sales account, • Use automation (we’ll train you) to connect with prospects, • Post at least 3 times a week (we’ll help with ideas), • Respond to prospects — including real CEOs and decision-makers, • Recruiting Support:, • Help interview applicants, • Provide feedback on talent matches, • Team Meetings:, • About 5 hours per week of focused effort — low lift, high value, • A willingness to learn, try, and fail forward (we’re here to coach you), • LinkedIn Profile Tune-Up: We’ll help make yours look professional, • Automation 101: We’ll show you the tools you’ll use, • Real-world international sales and recruiting experience, • A low-commitment, flexible internship with real pay, • To build a standout LinkedIn profile, • To add meaningful work to their resume Powered by JazzHR cbJZw5RmM2

Job DescriptionSalary: About Uphold Uphold is a financial technology company that believes on-chain services are the future of finance. It provides modern infrastructure for on-chain payments, banking and investments. Offering Consumer Services, Business Services and Institutional Trading, Uphold makes pioneering financial services easy and trusted for millions of customers in more than 140 countries. Uphold strips away the complexity and lack of transparency to open up Web3 finance for everyone. To learn more about Uphold, please visit. The opportunity: Uphold is looking for a Marketing Automation Specialist to join our growing CRM team. This role is central to the execution and optimization of all customer communicationsincluding lifecycle, transactional, and promotional campaignsacross email, push notifications, SMS, and in-app messaging. Youll play a key role in scaling our CRM infrastructuresupporting the setup of automated, data-driven campaigns; building reusable workflows and templates; and partnering with data and engineering teams to maintain reliable event tracking and integrations. This is a hands-on role focused on execution, optimization, and platform scalability, with exposure to campaign strategy, performance analysis, and cross-functional collaboration across Product, Engineering, Content, and Data teams. What youll be doing: • Build, QA, and deploy automated, data-driven journeys across email, push, SMS, and in-app messaging, • Develop and maintain scalable campaign infrastructure, templates, and workflows within Customer.io, • Design and implement advanced segmentation using behavioral, transactional, and real-time data, • Support CRM team on end-to-end campaign setup, including triggers, delays, conditionals, and personalization logic, • Maintain campaign documentation, tracking, and reporting, • Partner with engineering and data teams to expand and maintain integrations and event tracking, • Collaborate with internal teams to ensure alignment and smooth execution, • Monitor campaign performance and assist in surfacing insights and optimizations, • Support A/B testing and other experimentation to improve effectiveness, • Identify and execute automation opportunities to streamline operations and scale campaign delivery Required qualifications: • 2-5 years of experience in CRM, marketing automation, or lifecycle marketing, • Hands-on experience with marketing automation platforms (e.g. Customer.io, Braze, Iterable, etc.), • HTML/CSS knowledge., • Strong attention to detail and QA discipline in campaign execution, • Familiarity with segmentation, triggers, personalization, and journey building, • Comfortable working with campaign performance metrics, dashboards, and reporting tools, • Strong organizational and project management skills, • Ability to work cross-functionally with marketing, product, engineering, and data teams, • Excellent written and verbal communication skills, • Bachelors degree in Marketing, Business, Communications, or a related field preferred Bonus if you have: • Experience working in fintech or finance-related industries., • Personal and professional experience in blockchain and crypto is a plus., • Experience with Customer.IO, • Experience with Pipedrive, • Strong data analysis skills, including SQL. What we have to offer you: • An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people that keep up innovating and challenging more each day., • An international team, in a cutting edge field, working on the most fascinating projects., • Growth and career opportunities, and the chance to be proactive and creative., • A flexible and enthusiastic work environment that offers you snacks, a lot of coffee and other great benefits., • Open and transparent culture - we get together on a weekly basis to share updates, strategic plans, and engage with each other informally over food and drinks., • Interesting events that keep you connected with the team and celebrate our success. Salary: Up to $70,000 DOE + Bonus + Benefits What we have to offer you: • An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people that keep up innovating and challenging more each day., • An international team, in a cutting edge field, working on the most fascinating projects., • Growth and career opportunities, and the chance to be proactive and creative., • A flexible and enthusiastic work environment that offers you snacks, a lot of coffee and other great benefits., • Open and transparent culture - we get together on a weekly basis to share updates, strategic plans, and engage with each other informally over food and drinks., • Interesting events that keep you connected with the team and celebrate our success. Be part of a great company that is revolutionizing the financial services. Apply now! If this job isnt exactly what you are looking for, visit ourcareers pageto check out all our exciting opportunities. EEOC Employer We're proud to be an Equal Opportunity Employer and we celebrate our employees' differences, including race, color, religion, gender identity, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, and any other protected classes. Difference makes us stronger and better - together.

Job DescriptionAs a Market Development Representative (MDR) at FloQast, you will play a crucial role in the growth and success of our company. Sitting in the sales team and reporting to the Senior Manager of Inside Sales, you will be responsible for inbound lead qualification, nurture and lead reactivation, utilizing an omnichannel approach including but not limited to emails, social outreach, phone calls, etc. Your primary objective will be to identify and engage with prospects who have expressed pain in areas that FloQast solutions solve. This role requires excellent communication skills, a passion for building relationships, and a results-driven mindset. This role is a hybrid role, and has a requirement of working in the New York City office 2-3 times per week. What You'll Do: • Qualify inbound leads generated through various marketing channels, such as website inquiries, content downloads, and event registrations, • Complete ad hoc projects for the Business Development, Revenue Operations, and Marketing departments through updating and/or fixing Salesforce, Outreach, and other systems that will help generate revenue, • Conduct qualification through emails, calls, etc., to engage with leads, understand their needs, and assess their fit for FloQast's solutions, to deliver intro-call-ready leads, • Warm up leads by providing relevant information and resources, addressing their inquiries, and establishing rapport to build trust, • Educate prospects about the value and benefits of FloQast's products, highlighting key features and use cases, • Utilize a consultative approach to understand prospects' pain points, challenges, and goals, and align them with FloQast's offerings, • Maintain accurate and up-to-date records of all lead interactions and prospect data in the CRM system, • Achieve and exceed monthly/quarterly targets for qualified leads and pipeline generation, • Continuously stay informed about industry trends, competitors, and market developments to effectively position FloQast's solutions, • Any other tasks that may be assigned to help the company meet its goalsWhat You'll Bring:, • Bachelor's degree in business, marketing, or a related field (or equivalent experience), • 1 year experience with proven track record in a similar role, preferably in B2B SaaS or technology industry, • Excellent verbal and written communication skills with the ability to articulate complex concepts clearly and concisely, • Strong interpersonal skills and the ability to build rapport and establish relationships with prospects, • Results-driven mindset with a track record of meeting or exceeding targets and quotas, • Self-motivated and proactive with a strong sense of ownership and accountability, • Ability to quickly learn and understand software products and effectively convey their value proposition, • Familiarity with CRM systems (e.g., Salesforce), Marketing tools (HubSpot, Qualified/Drift, etc.) and sales engagement tools (e.g. Outreach/Salesloft, Orum, LinkedIn Sales Nav, Zoominfo) is a plus, • Knowledge of accounting, finance, or related fields is a bonus but not required, • Ability to thrive in a fast-paced, high-growth environment and adapt to changing priorities#LI-MM1#LI-Hybrid#BI-Hybrid The base pay for this position is $70,000. This position is eligible for a commission plan in addition to base pay with an OTE of $80,000. Compensation is not limited to base salary. FloQast values our Total Rewards, and offers a competitive and elaborate Benefits Package including, but not limited to, Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance, Unlimited Vacation, and participation in our Employee Stock Program. FloQast reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to this position you understand that this specific pay range is contingent upon meeting the qualifications and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role. About FloQast:FloQast is the leading Accounting Transformation Platform in accounting workflow automation created by actual former accountants for accountants. By streamlining and modernizing daily accounting tasks, FloQast helps teams collaborate more effectively and complete their work with greater efficiency and precision. This cloud-based, AI-powered software is trusted by over 3,000 accounting teams, including those at Snowflake, Twilio, Instacart, and The Golden State Warriors—and continues to grow. Our mission is to continuously elevate the accounting profession, enhancing both its practice and perception. Our values act as a guiding compass, shaping every decision we make, and are non-negotiable, particularly in our hiring process. Alongside our employees, partners, and customers, we embody these values every day:Unwaveringly Authentic Ambitious with IntegrityEmpowered to GrowCommitted to CollaborationCustomer Obsessed in All Ways FloQast is regularly rated as a Best Place to Work!- Inc. Magazine’s Best Workplaces in 2024, 2023, 2022, and 2021- Best Places to Work by LA Business Journal since 2017 (that’s 8 years!)- Built In’s Best Place to Work in Los Angeles 6 years in a row! Because we are Customer Obsessed in All Ways, check out what our customers have to say about FloQast on G2 Crowd. If this aligns closely with what you are looking for, hit “Apply” and come join our growing team! FloQast, Inc is committed to operating fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. We aim to recruit the right people for the jobs we have to offer, and to assess applications on the basis of relevant skills, education, and experience. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and strive to provide a professional and welcoming workplace for all employees. Link to FloQast Recruiting AI Usage Policy We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. About Sia Experience-Creative Sia Experience is the full-service creative agency within Sia. In the SiaX-Creative business line, we combine creative, CX, marketing, and deep AI expertise with industry leading knowledge to deliver impactful, growth-focused solutions for our clients. By bringing together agencies known for creating standout work for leading brands, Sia is building SiaX into a premier player in the creative and digital agency space—pairing the speed, creativity, and independence of top boutique shops with the reach and resources of a global network. At SiaX we’re nimble, deeply collaborative, and known for delivering high-impact work with lean teams. As strategic partners to our clients, we focus on building brands and delivering growth for clients that are aiming to break through creative barriers and accelerate digital transformation. It’s an exciting time to join us. SiaX has long been the agency behind some of the world’s biggest brands—now we’re expanding, becoming one of the most recognizable names for companies that demand bold, business-driving creative. We’re shaping SiaX into the go-to agency of the future. This is your chance to be part of that growth, working alongside top-tier creatives and agency leaders to continuously evolve what a modern, full-service agency can be. Opportunities like this don’t come around often—if you want in on the next level, this is it. Job Description About the Role SiaX is looking for a Paid Social Media Strategist to drive the strategy and execution of paid campaigns across search, social, display, video, and app environments. This role goes beyond channel execution — it requires critical thinking, proactive problem-solving, and the ability to connect paid media performance directly to business growth. You’ll partner closely with Growth, Creative, Analytics, and Account teams to ensure campaigns are not just optimized, but continuously evolving through innovation, A/B testing, and strategic foresight. Your Impact * Strategic Growth Partner: Own the strategy for paid media campaigns across search, social, and app channels, ensuring alignment with client business objectives across regions and lines of business. * Performance Driver: Lead paid social growth campaigns across Meta, TikTok, LinkedIn, Reddit, Pinterest, and emerging platforms — optimizing toward CPA, ROAS, ROI, and acquisition KPIs. * Automation Architect: Collaborate with Ad Tech and Product partners to design and scale automation and optimization frameworks using tools such as Meta APIs, Smartly, and custom-built solutions. * Proactive Innovator: Continuously identify opportunities to design and run A/B tests, expand campaigns beyond maintenance mode, and unlock new efficiencies and growth levers. * Cross-Functional Collaborator: Work with creative, analytics, and account teams to integrate paid media seamlessly into broader campaigns and client strategies. * Analytical Storyteller: Translate performance data into actionable insights, explaining not just what happened but why — and how we can do more, better. What Success Looks Like * Campaigns consistently meet or exceed performance benchmarks across channels, including app-based performance marketing environments. * Multi-million dollar paid social budgets are paced accurately, optimized effectively, and connected to business outcomes. * Reporting provides clear insights, actionable recommendations, and a forward-looking roadmap for growth. * Automation and optimization frameworks improve efficiency and scalability, enabling stronger client outcomes with fewer manual touchpoints. * Clients and internal teams view you as a trusted strategist — someone who brings proactive, innovative solutions to both immediate and long-term challenges. * Campaign roadmaps demonstrate ongoing learning, iteration, and curiosity that keep SiaX and our clients ahead of platform shifts and industry trends. Qualifications * 4–6+ years managing paid social campaigns across major platforms (Meta, TikTok, LinkedIn, Pinterest, Reddit) with proven success driving acquisition and ROI. * Strong grasp of full-funnel performance marketing and how paid media impacts business growth. * Skilled in campaign management, reporting, and automation tools (Meta Ads Manager, Smartly, TikTok Ads Manager, LinkedIn Campaign Manager). * Data-driven mindset with experience running A/B tests, analyzing results, and translating insights into actionable optimizations. * Confident collaborator and communicator, able to partner cross-functionally and present performance strategies and recommendations to clients. * Bachelor’s degree a bonus if in Marketing, Advertising, Communications, or related field; platform certifications (e.g., Meta Blueprint, Google Ads) a plus. Additional Information Compensation & Benefits We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation * Annual base salary ranging between $110k - $130k, commensurate with experience and qualifications * Annual performance based discretionary bonus Robust Health Coverage * 3 Medical plans * Dental and Vision * Life, AD&D and other voluntary insurance Tax-Advantaged Accounts * 401K retirement plan * 4% matching and 100% vested upon enrollment * Health Savings Account (HSA) * Flexible Spending Account (FSA) * Health, Dependent Care, Commuter Family Friendly Benefits * 100% paid parental leave for all new parents with eligible tenure * Building Healthy Families program if enrolled through Medical plan Time Off to Recharge * Generous Paid Time Off (PTO) policy * 9 company holidays plus 1 floating holiday Extras that Make Life Easier * College savings and student loan repayment assistance * Monthly cell phone stipend * Access to wellness programs at no cost if enrolled through Medical plan, including: * Gym membership reimbursement * LiveHealth Online virtual care * Personalized support from a Well-being Coach * Employee Assistance Program at no cost * Free confidential counseling and emotional support services * On-demand access to Emotional Well-being resources (ranging from relaxation techniques to stress management) Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status).

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As the Senior Maintenance Manager M&RE, you will oversee the maintenance and reliability of one of our flagship fulfillment centers. Oversee M&RE-related processes including maintenance of automation and manufacturing equipment, electrical, refrigeration, PIT equipment (forklifts), building, ground

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Job DescriptionMembership Administrator Location: New York, NY Job Type: Full-time About Us We are the leading trade association serving the corporate loan market, providing advocacy, education, networking, and industry leadership to our members. Our membership includes financial institutions, law firms, buyside/asset managers and service providers involved in the broadly syndicated and private corporate lending market. Position Summary We are seeking a proactive and detail-oriented Membership Administrator to manage and optimize our Salesforce platform in support of membership operations and accounts receivable processes. This role plays a critical part in enhancing member engagement, maintaining data integrity, and ensuring timely and accurate invoicing and payment tracking. This role will serve as a key liaison between the association and its members, supporting engagement, retention, and growth initiatives. A strong working knowledge of Salesforce, including building and customizing reports and dashboards, using Data Loader, and integrating/leveraging third-party applications such as Pardot, is essential for success in this position.Key Responsibilities • Support the full membership lifecycle, including processing applications and assisting with onboarding new members., • Ensure membership data integrity through regular audits, deduplication, and data cleansing efforts., • Oversee invoicing and accounts receivable, including coordination with accounts payable teams and third-party payment portals (Ariba, Coupa, etc.)., • Assist with third-party applications and tools (e.g., Pardot, Fonteva) to enhance business operations., • Collaborate cross-functionally with Sales, Marketing, and Website Administration teams to align Salesforce solutions with business goals., • Develop and implement training programs to enhance Salesforce adoption and efficiency among users., • Stay informed on Salesforce updates, releases, and industry best practices, proactively implementing improvements., • Assist in reporting and analytics, providing actionable insights to support decision-making.Required Qualifications, • Bachelor’s degree, • 2-5 years of membership, administrative or customer service experience. Trade association or financial services industry experience is a bonus., • Strong experience with Salesforce CRM for data management, reporting and process automation., • Strong understanding of accounts receivable processes, including invoicing, payment tracking and collections., • Excellent analytical, problem-solving, and communication skills., • Ability to work independently while collaborating with cross-functional teams., • Customer-focused demeanor with problem solving mindset. Preferred Qualifications, • Experience in accounts receivable or financial operations., • Knowledge of business processes related to membership, sales, and marketing automation., • Experience with third-party tools such as Pardot, Fonteva, or other Salesforce-related applications.Benefits & Perks, • Competitive salary and performance-based incentives., • Comprehensive health, dental, and vision insurance., • 401(k) retirement plan with company matching., • Professional development opportunities, including Salesforce certification reimbursement., • Flexible work arrangements, including remote/hybrid options (two days a week)., • A collaborative and innovative work environment with opportunities for growth., • Salary range: $85,000 - $100,000 annually.If you're a proactive problem-solver passionate about leveraging Salesforce to drive business success, we encourage you to apply! Kiwi Partners is an Equal Opportunity Employer. Kiwi does not unlawfully discriminate in employment opportunities or practices on the basis of actual or perceived age, race, creed, color, national origin, sex, religion, physical or mental disability, medical condition, sexual orientation, gender, gender identity, gender expression, ancestry, marital status, veteran status or other military status, legal alien status or citizenship status, genetic carrier status, genetic information, AIDS or AIDS-related complex or HIV status, being a victim of domestic violence, protected activity (i.e., filing a charge of discrimination, participating in a discrimination proceeding, or otherwise opposing prohibited discrimination),or any other characteristic protected by federal, state, or local law. Powered by JazzHR VAsbRX5ZH6

Job Description Italic is creating a world of luxury without labels. We believe that luxury today is exclusionary and all about marketing that hurts its customers and manufacturers. Our mission is to create a new model that enables manufacturers to bypass the legacy luxury supply chain and deliver luxury goods with equivalent or better quality directly to consumers. Our customers come to rely on Italic for our quality, timeless design, and radical value. Build and maintain our new, flagship consumer products. You’ll own the shared backend, move fast on green-field features, and push code to production every week. 🚨 Your main job will be to code aggressively and ship quickly with AI! * Create and maintain scalable AI and shared services—chat/memory, image/video gen pipelines, chat, etc. * Build and maintain reusable boilerplates templates across projects * Integrate LLMs, CV models, and recommender systems into mobile, Unity, and web clients * Stand up reliable infrastructure for payments, rewards, order routing, and analytics * Promote engineering best practices in observability, security, and CI/CD Requirements We are hybrid, but you must be ok working on-site downtown Manhattan some days a week. Must * You must have meaningful experience coding with AI (Cursor, Claude Code, etc). * You must be fully fluent and keep up with the latest of the modern AI stack * 3+ years coding with typescript Nice to have * Experience building automation bots or phone automation a plus * Experience with the Cloudflare dev stack (D1, R2, DO, agent SDK, etc) * Cloud & DevOps depth (AWS/GCP, containers, infra-as-code) * Unity, WebGL/Three.js, e-commerce/payments, or graphics pipelines * Experience integrating AI in mobile or game environments * Expo is a strong plus How we work * Tiny team * High autonomy, daily release cadence * Data-driven iteration and “build it, run it” ownership mindset * Competitive salary and equity with upside in our stealth product 构建并维护我们的全新旗舰级消费产品。 你将负责共享后端，快速推进全新功能，并确保代码每周上线。 🚨 你的主要工作：用 AI 高强度编码、快速交付！ 职责 * 创建并维护可扩展的 AI 和共享服务——聊天/记忆、图像/视频生成流水线等 * 在各项目之间构建并维护可复用的样板代码 * 将 LLM、CV 模型和推荐系统集成到移动端、Unity 和 Web 客户端 * 搭建稳定可靠的支付、奖励、订单路由和数据分析基础设施 * 在可观测性、安全性、CI/CD 等方面推广工程最佳实践 任职要求 * 我们采用混合办公模式，但需接受每周数天在曼哈顿下城现场办公 必备 * 具有扎实的 AI 编码经验（如 Cursor、Claude Code 等） * 对现代 AI 技术栈保持高度熟悉并能持续跟进最新进展 * 3 年以上 TypeScript 编码经验 加分项 * 有自动化机器人或电话自动化开发经验 * 熟悉 Cloudflare 开发栈（D1、R2、DO、agent SDK 等） * 具备 AWS/GCP、容器化、基础设施即代码等云与 DevOps 深度 * 了解 Unity、WebGL/Three.js、电商/支付或图形流水线 * 有在移动端或游戏场景中集成 AI 的经验 * 熟悉 Expo or Lynx 工作方式 * 小团队，高自治 * 每日发布节奏 * 数据驱动迭代，强调“自建自运维”思维 * 提供极具竞争力的薪资与期权，并分享潜在的隐身项目增值空间 Culture Great Brands Start With Great People Our culture focuses on performance, integrity, and longevity. We believe that the best brands are not grown through sheer force but rather through deliberate decision-making and persistent effort over a long period of time. We are committed to creating a workplace where talented individuals can thrive in building an enduring, beloved brand that we all take pride in. Inputs Over Outputs We value the effort and work that goes into achieving results rather than just the end result. We believe that investing in our people and processes will lead to better outcomes while also creating a more sustainable and enjoyable environment. Flat Hierarchy Our company has a flat hierarchy and values the input and ideas of all team members. We believe that everyone has the potential to make a significant contribution to the success of the company. Small Team, Big Opportunities As a small team, all employees are expected to take ownership in their work. Some might move faster while others are fine with a slower pace. Those who seek to move faster in their career will be able to do so based solely on merit, contribution, and performance.

Job DescriptionWho we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are We are building a hyperscaler company and laying the foundational infrastructure that will power multiple mobility-based businesses within Metropolis. As a Senior Software Engineer on our Product Foundations team, you'll be architecting and building Metropolis Web Services (MTWS) - the composable, foundational services that will serve as the substrate for all current and future products across the company. This is your opportunity to solve complex distributed systems challenges at scale while building the technical foundation that will enable Metropolis to expand our existing business into new markets and support our new verticals from the ground up. You'll be working on the kind of deep systems problems that require exceptional analytical skills, systems thinking, and a passion for efficiency, scalability, and operational excellence. Our team tackles the most complex technical challenges in the organization - from designing robust service mesh architectures to building foundational services like identity management and message processing to creating developer tooling that enables hundreds of engineers to move fast while maintaining reliability. You'll work alongside highly technical HyperNerds who live and breathe distributed systems, performance optimization, developer productivity, and reliability engineering – you'll collaborate with most of our technical teams including Application Development, Infrastructure, and our Advanced Technologies group. If you're energized by building the technical backbone that enables entire businesses to scale, solving hard distributed systems problems, and architecting platforms that will power the future of AI in the real world, this role is for you. We operate in a fast-paced, challenging, and fun environment where technical excellence is paramount. What you'll do • MTWS Foundation: Design and build the core services of Metropolis Web Services - the composable platform that will power multiple mobility businesses including IAM, notifications, message processing, and other critical infrastructure components, • Service Mesh Architecture: Build and maintain our service mesh infrastructure, enabling secure, reliable, and observable communication between hundreds of microservices at scale, • Developer Experience & Platform: Create sophisticated developer tooling, CI/CD pipelines, and platform automation that enables product teams to ship code safely and efficiently while maintaining high operational standards, • System Architecture: Make critical technical decisions about service boundaries, API design, data consistency patterns, and system reliability that affect the entire platform and multiple business lines, • Performance & Scalability: Architect and optimize systems for high throughput and low latency to support millions of transactions across our global platform as we scale to new markets, • Operational Excellence: Establish monitoring, alerting, and reliability practices that ensure 99.99% uptime for mission-critical mobility infrastructure, • Technical Leadership: Drive architectural discussions, establish engineering best practices, and mentor other engineers while contributing directly to complex technical implementationsWhat we're looking for, • 8+ years of backend software engineering experience with deep focus on distributed systems and platform infrastructure, • Expert-level Java proficiency with deep understanding of JVM performance, concurrency, and ecosystem tooling. Scala experience is a big plus, • Production experience with microservices architecture, container orchestration (Kubernetes), and cloud platforms (AWS), • Strong systems thinking with proven ability to design and implement large-scale, high-availability distributed systems that handle significant load, • Observability expertise including hands-on production experience with metrics, logging, tracing, and alerting systems in high-load environments, • Database and data systems knowledge including relational databases, event streaming (Kafka, SQS), caching strategies, and data consistency patterns, • Experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity – context engineering in particular, • Excellent technical communication with ability to design and document complex systems, lead technical discussions, and collaborate across multiple teams, • Local to New York City, Seattle, or Los Angeles areaWhile not required, these are a plus:, • Advanced degree in Computer Science, Engineering, or related technical field, • Security and compliance expertise particularly in authentication, authorization, secrets management, and regulatory compliance for financial transactions, • Experience with high-growth environments where you've scaled systems through rapid expansion and increasing load, • Open source contributions or technical blog writing that demonstrates depth of technical expertise in distributed systems, • Performance optimization experience with profiling, benchmarking, and system tuning at hyperscaleOur Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features that transform the way millions of users explore, interact with, and participate in live events worldwide. As a Senior Software Engineer, you will be an integral part of developing the team's commercial and product strategy. You will be expected to be equally focused on user needs and to exercise sound commercial judgment (not just technical judgment). Our Senior Software Engineers are essential to our company's success, so they must demonstrate initiative and enthusiasm in solving the problems they encounter. StubHub is committed to being a phenomenal and inclusive workplace. We expect you to also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA or Aliso Viejo, CAAbout the Team:Supply team's mission is to simplify the lives of our large-ticket sellers, ensuring they can easily onboard and manage their ticket inventory throughout the event. The goal of the larger Supply organization is to help sellers reduce their management costs and maximize sales revenue by providing both process automation and simple, yet blazing-fast, experiences for their ticket lifecycle. While largely front-end-focused, the team does maintain ownership at multiple levels in our technology stack.What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements that cross the frontend and backend code across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 5-6+ years of professional experience in software development, • 2+ years of in-depth experience with React and relevant toolsets/framework ecosystems, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career We’re looking for a Principal Machine Learning Engineer to join Cortex Xpanse. We help protect the world’s most essential organizations by finding risks on the Internet that no one else can find. Our team is responsible for some core products which allows us to attribute Internet assets to customer networks using a human-in-the-loop machine learning system while turning trillions of Internet data points into critical cybersecurity insights. The Asset Attribution ML-powered system helps provide customers with the world's most accurate view of their Internet-facing digital assets. In this role, you will be an integral part of a group of Software and ML engineers that continuously surveys petabytes of data to find risks online and protect some of the world's most important and relied upon organizations from malicious software and hackers. You will directly contribute to our mission by building AI/ML systems that increase the effectiveness of our security products, and you will directly work with stakeholders to define, design and implement improvements to our software. You will be a technical leader within the team, with responsibility for mentoring and supporting your team members, developing features from end-to-end, and supporting our systems in production. You’ll leverage your data and software engineering knowledge to build new features, deploy data-driven automations, and ultimately augment our teams with ML-assisted workflows. Your Impact * Prototype, build, and improve AI systems and ML models, including large language model (LLM) and generative AI applications, to automate and enhance team workflows * Strengthen infrastructure for data ETL, model training and lifecycle, MLOps, batch and real-time processing, and inference * Mentor and coach other ML engineers on developing, fine-tuning, and evaluating both traditional and generative AI models * Work directly with security professionals who use your software and AI systems every day to help them be more effective and improve the quality of their work * Develop feature engineering, data pipelines, and transformations to deliver reliable data for model training and LLM inference * Measure and refine model performance through metrics-driven evaluations and continuous experimentation * Deliver, monitor, and continually improve secure AI and ML systems in production, including LLM-powered tools and automation features Qualifications Your Experience * Experience with Python including delivering production-quality code and debugging in a production environment * Expertise in one or more of: * MLOps expertise (e.g. Feature Store, Model Serving, Model Monitoring) * Data Engineering expertise (e.g. Airflow, Apache Beam, Dataflow, SQL) * Designing and building applications powered by LLMs and generative AI (for example: retrieval-augmented generation, intelligent search, entity linking, summarization, conversational interfaces, automated reasoning, and code understanding) * Applying modern AI techniques including LLMs, embeddings, fine-tuning, and prompt engineering, using frameworks such as Hugging Face Transformers, LangChain, OpenAI API, and PyTorch * Experience operating ML systems in production environments * Conceptual thinking and creativity; you demonstrate an ability to consider various techniques to solve different modeling problems we face * Ability to collaborate and to convey complex technical concepts to both technical and non-technical stakeholders Additional Information The Team Xpanse helps protect some of the world’s most important organizations by finding risks on the Internet that no one else can find. Your expertise will help define and secure the perimeters of the world's largest and most consequential organizations in both the public and private sector. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $157,200 - $254,100/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.