100% Telecommuting permitted from anywhere in the US except HI. Must have a Bachelors degree in Business, Computer Science, Computer Engineering, or a related field, plus seven (7) years of experience as a Product Manager or a substantially similar position. Required experience must include: 7 years of experience driving data-informed decisions and continuous improvement; using Agile methodologies and tools; using tools and platforms such as Jira, Aha!, and Confluence; Agile project management, including product roadmap prioritization, user experience, involvement in product release, and quality sign off; as well as 6 years of experience leading cross-functional teams in complex, fast-paced environments; and Saas product management. Send resume to (Ref. No. The annual base salary range for this position is $145,000 $195,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and location. This range does not include additional forms of compensation, such as bonuses, commission, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process. This range does not include additional forms of compensation, such as bonuses, commissions, or benefits.
06/25/2026
100% Telecommuting permitted from anywhere in the US except HI. Must have a Bachelors degree in Business, Computer Science, Computer Engineering, or a related field, plus seven (7) years of experience as a Product Manager or a substantially similar position. Required experience must include: 7 years of experience driving data-informed decisions and continuous improvement; using Agile methodologies and tools; using tools and platforms such as Jira, Aha!, and Confluence; Agile project management, including product roadmap prioritization, user experience, involvement in product release, and quality sign off; as well as 6 years of experience leading cross-functional teams in complex, fast-paced environments; and Saas product management. Send resume to (Ref. No. The annual base salary range for this position is $145,000 $195,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and location. This range does not include additional forms of compensation, such as bonuses, commission, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process. This range does not include additional forms of compensation, such as bonuses, commissions, or benefits.
Date Posted: 2026-04-08 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. This position is 100% on site in Tucson, AZ What You Will Do: Guiding multidisciplined teams in the development of test equipment Prioritize and handle multiple tasks in a production environment Contributing to cost and schedule management planning Communicating with senior management on project status Troubleshooting software and test equipment Develop requirements for software products Written and interpersonal communication skills with Program Management Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and ten (10) years of relevant prior experience OR an Advanced degree and 7 years of prior relevant experience. Minimum of ten (10) years developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Minimum of ten (10) years of professional engineering experience utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System, Microsoft Visual Studio, and Microsoft Azure DevOps Server Familiarity with laboratory test instrumentation, electronics, and software (Ex. NI VISA, NI Measurement and Automation Explorer, NI Switch Executive) Typically requires two (2) years' experience managing Test Equipment on a DoD compliant information systems, leading efforts as a program manager, and/or project team lead The ability to obtain and maintain a U.S. Government issued (Secret) security clearance is required. U.S. citizenship is required, as only U.S. Citizens are eligible for a security clearance. Qualifications We Prefer: Working knowledge of computer architecture and computer hardware optimization techniques Extensive knowledge of the development of software drivers for the operation of computer hardware interfaces Extensive knowledge in common computer hardware interface and data protocols such as TCP/IP, UDP, RS-422 Professional experience with Unified Modeling Language (UML) to visualize software architecture and design (Ex. IBM Rhapsody, Cameo System Modeler, and Cameo Enterprise Architecture) Professional experience of software development lifecycles, such as Agile Experience with Software Configuration Management principles What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
06/25/2026
Full time
Date Posted: 2026-04-08 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. This position is 100% on site in Tucson, AZ What You Will Do: Guiding multidisciplined teams in the development of test equipment Prioritize and handle multiple tasks in a production environment Contributing to cost and schedule management planning Communicating with senior management on project status Troubleshooting software and test equipment Develop requirements for software products Written and interpersonal communication skills with Program Management Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and ten (10) years of relevant prior experience OR an Advanced degree and 7 years of prior relevant experience. Minimum of ten (10) years developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Minimum of ten (10) years of professional engineering experience utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System, Microsoft Visual Studio, and Microsoft Azure DevOps Server Familiarity with laboratory test instrumentation, electronics, and software (Ex. NI VISA, NI Measurement and Automation Explorer, NI Switch Executive) Typically requires two (2) years' experience managing Test Equipment on a DoD compliant information systems, leading efforts as a program manager, and/or project team lead The ability to obtain and maintain a U.S. Government issued (Secret) security clearance is required. U.S. citizenship is required, as only U.S. Citizens are eligible for a security clearance. Qualifications We Prefer: Working knowledge of computer architecture and computer hardware optimization techniques Extensive knowledge of the development of software drivers for the operation of computer hardware interfaces Extensive knowledge in common computer hardware interface and data protocols such as TCP/IP, UDP, RS-422 Professional experience with Unified Modeling Language (UML) to visualize software architecture and design (Ex. IBM Rhapsody, Cameo System Modeler, and Cameo Enterprise Architecture) Professional experience of software development lifecycles, such as Agile Experience with Software Configuration Management principles What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Category:: Full-time Staff Subscribe:: Department:: Information Technology Locations:: Lowell, MA Posted:: Aug 12, 2025 Closes:: Jan 26, 2026 - 11:59 PM EST Type:: Full-time Position ID:: 191521 About Middlesex Community College: Middlesex Community College (MCC), established in 1970, provides access to affordable education to prepare individuals for success and lifelong learning. We promote academic excellence, provide workforce development opportunities, and empower all learners to become productive and socially responsible members of our local and global communities. The College provides a broad range of services that are essential to attract, reward, and retain talented faculty and staff. The MCC community promotes a work environment where our employees feel supported and empowered to best serve our student population. We are proud to offer our classes on both the Bedford and Lowell campuses, as well as a robust online course offering. MCC is committed to transforming lives as we educate, challenge, and support all students as evident in our strategic plan . Job Description: Title: Enterprise Programmer / Integration Specialist Unit: Non-Unit Professional (NUP) Department: Information Technology, IT Applications Reports to: Director of IT Applications Date: August 12, 2025 (Re posted January 5, 2026) General Summary: The Enterprise Programmer/Integration Specialist will develop and implement business solutions through the full software development life cycle; support the Senior Programmer Manager in the execution of all principal functions of the IT Applications group; will serve as the point of contact between the IT Applications group and functional users; serve as the point of contact for data interfaces between outside vendor support and IT technical support resources; The Enterprise Programmer/Integration Specialist is specifically responsible for the design, implementation, testing, integration, deployment, and maintenance of complex solutions in support of our Enterprise, Planning, and Resource software (Ellucian Banner) and other Ellucian applications, such as Self-Service Banner, and Degree Works. The position will also be responsible for the implementation, support, and administration of all integrations between our Banner ERP and third-party applications. Essential Job Functions: Quickly convert ideas and solutions to application shortcomings consistent with the Waterfall and Agile development methodologies for new projects and customizations. Analyze and modify existing applications and processes, and provide recommendations for system and process improvements. Diagnose and resolve software issues reported to our Service Desk staff and ticket management system. Perform integration initiatives for 3rd party products, using API's, Ellucian Ethos, ILP 5, Go Anywhere and other integration tools. Provide application and user support to the core Ellucian Banner suite including Banner Admin Pages, Job Submission, Self Service, Degree Works, and customizations. Provide input when reviewing new academic application designs to ensure consistency with business objectives and technical standards. Create and deploy data queries for ad hoc reporting Other Duties and Responsibilities: Maintain current knowledge of trends and practices in the field through peer associations, attendance at conferences, seminars, study and review of literature, and professional development opportunities. May be required to be available for after-hours emergency response duties as a member of a 7x24x365 support team. Performs other related duties as required. Requirements: Bachelor's degree in IT, Computer Science or a related field with 2 years' experience of the following: Developing software solutions for Ellucian Banner Information systems and related modules such as Banner 9.x, Banner Self-Service, Degree Works, Ethos, and 3rd Party Application integration/API's. Experience implementing medium and large scale IT projects and customizations for ERP systems. 2 years' experience actively programming with a Unix shell scripting language, Bash preferred, Perl, Java, C, SQLPlus, and PL/SQL. Knowledge of one or more of the following: Groovy and Grails, GIT, C#, SQL, GraphQL, Postman, Javascript, ReactJS, or .NET. Experience with RESTful web services. Experience developing integrations using REST with JSON, SOAP with XML, or GRAPHQL. Experience building custom solutions using ASP.NET/MVC. Ability to operate within a complex product and academic environment requiring the ability to effectively prioritize and manage multiple requests simultaneously. Able to work independently and maintain focus on priority tasks. Ability to maintain change control and testing processes for modifications. Ability to collaborate with administrative staff offices and management teams to develop efficient plans, processes, and timelines for addressing all identified support and upgrade activities. Ability to create and maintain detailed testing plans and associated scripts. Ability to conduct research into administrative application issues and products as required. Participate in creation of both technical and user manuals for new and existing applications. Ability to prioritize tasks and manage multiple, complex and varied assignments in a timely manner. Must be well organized and able to keep written records. Strong customer service skills with the ability to analyze and interpret data and to clearly and effectively communicate technical information to individuals at all levels of the organization. Ability to create and maintain detailed testing plans and associated scripts. Ability to conduct research into administrative application issues and products as required. Participate in creation of both technical and user manuals for new and existing applications. Ability to prioritize tasks and manage multiple, complex and varied assignments in a timely manner. Must be well organized and able to keep written records. Strong customer service skills with the ability to analyze and interpret data and to clearly and effectively communicate technical information to individuals at all levels of the organization. Preferred Qualifications: Experience designing business based solutions to support the functions in various institutional units, preferably in a higher education environment. Experience following the Software Development Life Cycle (SDLC), iterative processes, and version control. Bilingual skills a plus Additional Information: Salary Range:$80,000 to $90,000Starting salary dependent upon experience. Employees of Middlesex Community College are considered employees of the Commonwealth of Massachusetts and receive benefits which include: High quality and affordable health insurance through the Commonwealth's Group Insurance Commission (GIC) Reasonable Dental and Vision Plans Flexible Spending Account and Dependent Care Assistance programs Low cost basic and optional life insurance Retirement Savings: State Employees' Pension or Optional Retirement Program (ORP) and Deferred Compensation 457(b) plan or 403(b). 12 paid holidays per year and competitive Sick, Vacation and Personal Time Tuition Benefit for employees and dependents at state colleges and universities Short-Term Disability and Extended Illness program participation options Professional Development and Continuing Education opportunities Qualified Employer for Public Service Student Loan Forgiveness Program Cell Phone Bill Discounts with Verizon and T-Mobile Cell Phone Carriers Access to the Commonwealth's Mass4You, employee assistance program Location: Lowell Campus with occasional travel to the Bedford campus and within the community. Hours: 37.5 hours per week; schedule to be determined upon hire; this position will be eligible for a maximum of one day of telework in accordance with the College's telework guidelines. Expected Start Date: February 2026 Application Deadline: January 26, 2026 Application Instructions: All applicants must apply online by submitting: Cover Letter Resume Names and contact information for three (3) professional references Pre-Employment Requirements: The College will not sponsor applicants for work visas. All offers of employment at Middlesex Community College are contingent upon clear results of a thorough background check. Background checks will be conducted on all final candidates, as deemed necessary. Middlesex Community College only accepts application materials through our online application system. We are unable to accept application materials through mail, email, fax, or hand delivery. If you do not have access to a computer, please contact Human Resources at .
01/14/2026
Full time
Category:: Full-time Staff Subscribe:: Department:: Information Technology Locations:: Lowell, MA Posted:: Aug 12, 2025 Closes:: Jan 26, 2026 - 11:59 PM EST Type:: Full-time Position ID:: 191521 About Middlesex Community College: Middlesex Community College (MCC), established in 1970, provides access to affordable education to prepare individuals for success and lifelong learning. We promote academic excellence, provide workforce development opportunities, and empower all learners to become productive and socially responsible members of our local and global communities. The College provides a broad range of services that are essential to attract, reward, and retain talented faculty and staff. The MCC community promotes a work environment where our employees feel supported and empowered to best serve our student population. We are proud to offer our classes on both the Bedford and Lowell campuses, as well as a robust online course offering. MCC is committed to transforming lives as we educate, challenge, and support all students as evident in our strategic plan . Job Description: Title: Enterprise Programmer / Integration Specialist Unit: Non-Unit Professional (NUP) Department: Information Technology, IT Applications Reports to: Director of IT Applications Date: August 12, 2025 (Re posted January 5, 2026) General Summary: The Enterprise Programmer/Integration Specialist will develop and implement business solutions through the full software development life cycle; support the Senior Programmer Manager in the execution of all principal functions of the IT Applications group; will serve as the point of contact between the IT Applications group and functional users; serve as the point of contact for data interfaces between outside vendor support and IT technical support resources; The Enterprise Programmer/Integration Specialist is specifically responsible for the design, implementation, testing, integration, deployment, and maintenance of complex solutions in support of our Enterprise, Planning, and Resource software (Ellucian Banner) and other Ellucian applications, such as Self-Service Banner, and Degree Works. The position will also be responsible for the implementation, support, and administration of all integrations between our Banner ERP and third-party applications. Essential Job Functions: Quickly convert ideas and solutions to application shortcomings consistent with the Waterfall and Agile development methodologies for new projects and customizations. Analyze and modify existing applications and processes, and provide recommendations for system and process improvements. Diagnose and resolve software issues reported to our Service Desk staff and ticket management system. Perform integration initiatives for 3rd party products, using API's, Ellucian Ethos, ILP 5, Go Anywhere and other integration tools. Provide application and user support to the core Ellucian Banner suite including Banner Admin Pages, Job Submission, Self Service, Degree Works, and customizations. Provide input when reviewing new academic application designs to ensure consistency with business objectives and technical standards. Create and deploy data queries for ad hoc reporting Other Duties and Responsibilities: Maintain current knowledge of trends and practices in the field through peer associations, attendance at conferences, seminars, study and review of literature, and professional development opportunities. May be required to be available for after-hours emergency response duties as a member of a 7x24x365 support team. Performs other related duties as required. Requirements: Bachelor's degree in IT, Computer Science or a related field with 2 years' experience of the following: Developing software solutions for Ellucian Banner Information systems and related modules such as Banner 9.x, Banner Self-Service, Degree Works, Ethos, and 3rd Party Application integration/API's. Experience implementing medium and large scale IT projects and customizations for ERP systems. 2 years' experience actively programming with a Unix shell scripting language, Bash preferred, Perl, Java, C, SQLPlus, and PL/SQL. Knowledge of one or more of the following: Groovy and Grails, GIT, C#, SQL, GraphQL, Postman, Javascript, ReactJS, or .NET. Experience with RESTful web services. Experience developing integrations using REST with JSON, SOAP with XML, or GRAPHQL. Experience building custom solutions using ASP.NET/MVC. Ability to operate within a complex product and academic environment requiring the ability to effectively prioritize and manage multiple requests simultaneously. Able to work independently and maintain focus on priority tasks. Ability to maintain change control and testing processes for modifications. Ability to collaborate with administrative staff offices and management teams to develop efficient plans, processes, and timelines for addressing all identified support and upgrade activities. Ability to create and maintain detailed testing plans and associated scripts. Ability to conduct research into administrative application issues and products as required. Participate in creation of both technical and user manuals for new and existing applications. Ability to prioritize tasks and manage multiple, complex and varied assignments in a timely manner. Must be well organized and able to keep written records. Strong customer service skills with the ability to analyze and interpret data and to clearly and effectively communicate technical information to individuals at all levels of the organization. Ability to create and maintain detailed testing plans and associated scripts. Ability to conduct research into administrative application issues and products as required. Participate in creation of both technical and user manuals for new and existing applications. Ability to prioritize tasks and manage multiple, complex and varied assignments in a timely manner. Must be well organized and able to keep written records. Strong customer service skills with the ability to analyze and interpret data and to clearly and effectively communicate technical information to individuals at all levels of the organization. Preferred Qualifications: Experience designing business based solutions to support the functions in various institutional units, preferably in a higher education environment. Experience following the Software Development Life Cycle (SDLC), iterative processes, and version control. Bilingual skills a plus Additional Information: Salary Range:$80,000 to $90,000Starting salary dependent upon experience. Employees of Middlesex Community College are considered employees of the Commonwealth of Massachusetts and receive benefits which include: High quality and affordable health insurance through the Commonwealth's Group Insurance Commission (GIC) Reasonable Dental and Vision Plans Flexible Spending Account and Dependent Care Assistance programs Low cost basic and optional life insurance Retirement Savings: State Employees' Pension or Optional Retirement Program (ORP) and Deferred Compensation 457(b) plan or 403(b). 12 paid holidays per year and competitive Sick, Vacation and Personal Time Tuition Benefit for employees and dependents at state colleges and universities Short-Term Disability and Extended Illness program participation options Professional Development and Continuing Education opportunities Qualified Employer for Public Service Student Loan Forgiveness Program Cell Phone Bill Discounts with Verizon and T-Mobile Cell Phone Carriers Access to the Commonwealth's Mass4You, employee assistance program Location: Lowell Campus with occasional travel to the Bedford campus and within the community. Hours: 37.5 hours per week; schedule to be determined upon hire; this position will be eligible for a maximum of one day of telework in accordance with the College's telework guidelines. Expected Start Date: February 2026 Application Deadline: January 26, 2026 Application Instructions: All applicants must apply online by submitting: Cover Letter Resume Names and contact information for three (3) professional references Pre-Employment Requirements: The College will not sponsor applicants for work visas. All offers of employment at Middlesex Community College are contingent upon clear results of a thorough background check. Background checks will be conducted on all final candidates, as deemed necessary. Middlesex Community College only accepts application materials through our online application system. We are unable to accept application materials through mail, email, fax, or hand delivery. If you do not have access to a computer, please contact Human Resources at .
Job Title: Research Info Systems Engineer - Principal Professional Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 293715 Job Summary The Research Information Systems Engineer is responsible for designing, implementing, and maintaining advanced research systems and solutions. This role involves engineering systems and automation, providing technical support, and ensuring the reliability, efficiency, and compliance of research systems and applications. This role collaborates with cross-functional teams to optimize research processes and support the organization's research objectives. Responsibilities Job Duty 1 - Design and optimize systems and algorithms for data extraction, processing, and decision-making. Develop and implement intelligent automation, infrastructure as code, and CI/CD solutions to streamline research workflows. Conduct automation testing and validation to ensure accuracy and compatibility with existing systems. Serve as a resource and Subject Matter Expert (SME) for related engineering tools and technologies. Job Duty 9 - Provide training, guidance, and mentorship to enhance technical skills and knowledge of coworkers and stakeholders. Offer user training, support, and assistance to help end-users navigate research infrastructure systems and applications. Job Duty 10 - Perform other job-related duties as assigned. Job Duty 2 - Provide specialized technical support for complex research infrastructure systems and applications. Diagnose and resolve technical issues and performance bottlenecks. Offer guidance and training to end-users and technical support associates. Provide subject matter expertise and make other significant contributions to research projects. Job Duty 3 - Design, develop, implement, and maintain infrastructure, applications, and systems to meet requirements and enable new capabilities. Configure, deploy, and troubleshoot systems, networks, and software to ensure reliable and efficient operations. Conduct system analysis, performance tuning, and optimization to enhance the performance and scalability of research infrastructure systems. Test and evaluate solutions, perform quality assurance checks, and ensure compliance with technical standards. Job Duty 4 - Collaborate with researchers, process owners, and technical teams to identify technology needs and requirements. Define and prioritize product features, requirements, and user stories based on research needs and feedback. Participate in project planning, requirement gathering, and implementation of research infrastructure solutions. Communicate updates, changes, and plans to stakeholders and internal teams. Job Duty 5 - Document system configurations, technical specifications, and implementation procedures. Maintain automation documentation and track changes to support governance. Manage change control processes to ensure systematic and controlled implementation of changes. Design, develop, and implement comprehensive IT business continuity and disaster recovery (BC/DR) strategies to ensure the protection of critical research systems, applications, and data. Ensure that business continuity plans are tailored to meet regulatory requirements for safeguarding research data, including Controlled Unclassified Information (CUI). Job Duty 6 - Ensure adherence to technical standards and best practices. Ensure continuous compliance with governance, security, and data privacy standards. Support system governance, compliance, and security measures to ensure system integrity and quality. Job Duty 7 - Stay informed about the latest trends and technologies in research infrastructure and automation. Continuously monitor and optimize infrastructure performance through data analysis and improvement cycles. Drive innovation by integrating new technologies and methodologies into research processes. Job Duty 8 - Conduct market research, customer interviews, and usability studies to gather insights and inform infrastructure decisions. Translate research requirements into actionable tasks, user stories, and acceptance criteria for development teams. Manage service backlogs, prioritize feature development, and ensure timely delivery of infrastructure increments. Conduct user acceptance testing, validate infrastructure functionality, and gather feedback for improvements. Required Qualifications Educational Requirements Bachelor's Degree in related discipline or equivalent combination of education and experience. Required Experience Eight or more years of relevant experience. Preferred Qualifications Experience administering enterprise-class storage (e.g. iXsystems, NetApp E-Series, NetApp ONTAP, NetApp Data Infrastructure Insights, NetApp Active IQ Unified Manager, NetApp StorageGRID) Experience implementing and supporting Ceph, CIFS, DFS, with iSCSI, GlusterFS, NFS, and S3 storage protocols Experience implementing automation solutions (e.g. Ansible, Python, Terraform) Experience supporting Enterprise Business Continuity and Disaster Recovery initiatives (e.g. DPM, Kasten, Veeam) Experience supporting storage needs for environments using Microsoft Hyper-V, Nutanix, and VMWare Experience with enterprise-class monitoring tools (e.g. Grafana, Nagios, Prometheus, Zabbix) Experience supporting Kubernetes container storage (e.g. Longhorn, Trident, HPE CSI, Nutanix CSI, vSphere CSI) Experience architecting and hardening storage solutions in highly regulated environments (e.g. DoD, Financial, Healthcare) Other Information This is not a supervisory position. This position does not have any financial responsibilities. This position will not be required to drive. This role is considered a position of trust. This position does not require a purchasing card (P-Card). This position will not travel This position requires security clearance. This position requires U.S. Citizenship.
01/14/2026
Full time
Job Title: Research Info Systems Engineer - Principal Professional Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 293715 Job Summary The Research Information Systems Engineer is responsible for designing, implementing, and maintaining advanced research systems and solutions. This role involves engineering systems and automation, providing technical support, and ensuring the reliability, efficiency, and compliance of research systems and applications. This role collaborates with cross-functional teams to optimize research processes and support the organization's research objectives. Responsibilities Job Duty 1 - Design and optimize systems and algorithms for data extraction, processing, and decision-making. Develop and implement intelligent automation, infrastructure as code, and CI/CD solutions to streamline research workflows. Conduct automation testing and validation to ensure accuracy and compatibility with existing systems. Serve as a resource and Subject Matter Expert (SME) for related engineering tools and technologies. Job Duty 9 - Provide training, guidance, and mentorship to enhance technical skills and knowledge of coworkers and stakeholders. Offer user training, support, and assistance to help end-users navigate research infrastructure systems and applications. Job Duty 10 - Perform other job-related duties as assigned. Job Duty 2 - Provide specialized technical support for complex research infrastructure systems and applications. Diagnose and resolve technical issues and performance bottlenecks. Offer guidance and training to end-users and technical support associates. Provide subject matter expertise and make other significant contributions to research projects. Job Duty 3 - Design, develop, implement, and maintain infrastructure, applications, and systems to meet requirements and enable new capabilities. Configure, deploy, and troubleshoot systems, networks, and software to ensure reliable and efficient operations. Conduct system analysis, performance tuning, and optimization to enhance the performance and scalability of research infrastructure systems. Test and evaluate solutions, perform quality assurance checks, and ensure compliance with technical standards. Job Duty 4 - Collaborate with researchers, process owners, and technical teams to identify technology needs and requirements. Define and prioritize product features, requirements, and user stories based on research needs and feedback. Participate in project planning, requirement gathering, and implementation of research infrastructure solutions. Communicate updates, changes, and plans to stakeholders and internal teams. Job Duty 5 - Document system configurations, technical specifications, and implementation procedures. Maintain automation documentation and track changes to support governance. Manage change control processes to ensure systematic and controlled implementation of changes. Design, develop, and implement comprehensive IT business continuity and disaster recovery (BC/DR) strategies to ensure the protection of critical research systems, applications, and data. Ensure that business continuity plans are tailored to meet regulatory requirements for safeguarding research data, including Controlled Unclassified Information (CUI). Job Duty 6 - Ensure adherence to technical standards and best practices. Ensure continuous compliance with governance, security, and data privacy standards. Support system governance, compliance, and security measures to ensure system integrity and quality. Job Duty 7 - Stay informed about the latest trends and technologies in research infrastructure and automation. Continuously monitor and optimize infrastructure performance through data analysis and improvement cycles. Drive innovation by integrating new technologies and methodologies into research processes. Job Duty 8 - Conduct market research, customer interviews, and usability studies to gather insights and inform infrastructure decisions. Translate research requirements into actionable tasks, user stories, and acceptance criteria for development teams. Manage service backlogs, prioritize feature development, and ensure timely delivery of infrastructure increments. Conduct user acceptance testing, validate infrastructure functionality, and gather feedback for improvements. Required Qualifications Educational Requirements Bachelor's Degree in related discipline or equivalent combination of education and experience. Required Experience Eight or more years of relevant experience. Preferred Qualifications Experience administering enterprise-class storage (e.g. iXsystems, NetApp E-Series, NetApp ONTAP, NetApp Data Infrastructure Insights, NetApp Active IQ Unified Manager, NetApp StorageGRID) Experience implementing and supporting Ceph, CIFS, DFS, with iSCSI, GlusterFS, NFS, and S3 storage protocols Experience implementing automation solutions (e.g. Ansible, Python, Terraform) Experience supporting Enterprise Business Continuity and Disaster Recovery initiatives (e.g. DPM, Kasten, Veeam) Experience supporting storage needs for environments using Microsoft Hyper-V, Nutanix, and VMWare Experience with enterprise-class monitoring tools (e.g. Grafana, Nagios, Prometheus, Zabbix) Experience supporting Kubernetes container storage (e.g. Longhorn, Trident, HPE CSI, Nutanix CSI, vSphere CSI) Experience architecting and hardening storage solutions in highly regulated environments (e.g. DoD, Financial, Healthcare) Other Information This is not a supervisory position. This position does not have any financial responsibilities. This position will not be required to drive. This role is considered a position of trust. This position does not require a purchasing card (P-Card). This position will not travel This position requires security clearance. This position requires U.S. Citizenship.
Job Title: Research Engineer (Open Rank) Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 292707 About Us Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: Students are our top priority. We strive for excellence. We thrive on diversity. We celebrate collaboration. We champion innovation. We safeguard freedom of inquiry and expression. We nurture the wellbeing of our community. We act ethically. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. About the College of Computing at the Georgia Institute of Technology The College of Computing has been a leader in defining modern computing as a paradigm that combines the foundations of theoretical mathematics and information science, the force of invention in computational systems and processes, and interdisciplinary practice that integrates innovation in computing with all facets of life. Today, the college comprises five schools that offer unique academic programs and conduct research specifically related to their concentration areas: Computer Science, Computing Instruction, Cybersecurity and Privacy, Interactive Computing, and Computational Science and Engineering. The Team The Center for Scientific Software Engineering (CSSE) is focused on the development and dissemination of software engineering best practices to accelerate both the quality and pace of scientific discovery at Georgia Tech and throughout the scientific community. Location Atlanta, GA Job Summary The School of Computational Science and Engineering (CSE) at GA Tech is seeking to hire a Research Engineer (Open Rank) to serve as a Product Manager. CSE is enhancing our impact on the Georgia Tech ecosystem through new programs that help students become better Research Software Engineers. With this increased capacity, we will amplify the impact of research conducted by Georgia Tech's scientific community. We are expanding our team of 6 professional software engineers (with varying degrees of industry experience) to include a Product Manager who is excited about working in a highly dynamic and research-oriented environment. This is a hybrid working position. Responsibilities Partner with Georgia Tech faculty to identify areas of scientific research likely to benefit from dedicated Research Software Engineering. Establish goals and requirements to create new functionality that maximize Research Software Engineering contributions. Pair students with Research Software Engineering mentors in the Center for Scientific Software Engineering. Partner with student Research Software Engineers to create development plans that deliver agreed-upon functionality. Monitor the progress of student Research Software Engineers as they embark on established development plans. Refine CSSE team processes to achieve our collective goals more efficiently. Required Qualifications This position vacancy is an open rank announcement. Final job offer will be dependent on candidate qualifications in alignment with Research Faculty Georgia Tech Faculty Handbook () Research Engineer I Bachelor's degree Research Engineer II Three (3) years of relevant full-time experience after completion of Master's or Five (5) years of relevant full-time experience after completion of Bachelor's or Doctoral Degree Senior Research Engineer Master's degree with seven (7) years of relevant full-time experience after completion of that degree, or Master's degree with nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or Doctoral degree with four (4) years of relevant full-time experience after completion of a Bachelor's degree Principal Research Engineer Master's degree with Eleven (11) years of relevant full-time experience or Doctoral degree with Seven (7) years of relevant full-time experience after completion of a Bachelor's degree One (1) year of relevant full-time experience Experience in Data Science, Network Science, Algorithms, Machine Learning and AI. Preferred Qualifications Bachelor's Degree in Computer Science, Electrical Engineering, a STEM-related field, or equivalent practical experience. Minimum of 4 years of experience in product management. Experience working with open-source software and open-source communities. Experience collaborating with research stakeholders in academic or industry settings. Proven ability to create clear and compelling software specification documents. Experience working closely with software engineers to define feature scope and development estimates. Strong product thinking, with the ability to synthesize information quickly and take decisive action. Empathy for users and experience engaging with customers and stakeholders to understand their needs. Ability to prioritize effectively in environments with limited resources, ambiguity, or competing demands. Strong interpersonal skills and the ability to build positive, collaborative relationships. Clear and compelling communication skills, both verbal and written. Understanding of the software development lifecycle and its various phases. Awareness of opportunities and challenges associated with Generative AI technologies. Contact Information Requests for information may be directed to Dr. Dave Brownell: . USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics . click apply for full job details
01/14/2026
Full time
Job Title: Research Engineer (Open Rank) Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 292707 About Us Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: Students are our top priority. We strive for excellence. We thrive on diversity. We celebrate collaboration. We champion innovation. We safeguard freedom of inquiry and expression. We nurture the wellbeing of our community. We act ethically. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. About the College of Computing at the Georgia Institute of Technology The College of Computing has been a leader in defining modern computing as a paradigm that combines the foundations of theoretical mathematics and information science, the force of invention in computational systems and processes, and interdisciplinary practice that integrates innovation in computing with all facets of life. Today, the college comprises five schools that offer unique academic programs and conduct research specifically related to their concentration areas: Computer Science, Computing Instruction, Cybersecurity and Privacy, Interactive Computing, and Computational Science and Engineering. The Team The Center for Scientific Software Engineering (CSSE) is focused on the development and dissemination of software engineering best practices to accelerate both the quality and pace of scientific discovery at Georgia Tech and throughout the scientific community. Location Atlanta, GA Job Summary The School of Computational Science and Engineering (CSE) at GA Tech is seeking to hire a Research Engineer (Open Rank) to serve as a Product Manager. CSE is enhancing our impact on the Georgia Tech ecosystem through new programs that help students become better Research Software Engineers. With this increased capacity, we will amplify the impact of research conducted by Georgia Tech's scientific community. We are expanding our team of 6 professional software engineers (with varying degrees of industry experience) to include a Product Manager who is excited about working in a highly dynamic and research-oriented environment. This is a hybrid working position. Responsibilities Partner with Georgia Tech faculty to identify areas of scientific research likely to benefit from dedicated Research Software Engineering. Establish goals and requirements to create new functionality that maximize Research Software Engineering contributions. Pair students with Research Software Engineering mentors in the Center for Scientific Software Engineering. Partner with student Research Software Engineers to create development plans that deliver agreed-upon functionality. Monitor the progress of student Research Software Engineers as they embark on established development plans. Refine CSSE team processes to achieve our collective goals more efficiently. Required Qualifications This position vacancy is an open rank announcement. Final job offer will be dependent on candidate qualifications in alignment with Research Faculty Georgia Tech Faculty Handbook () Research Engineer I Bachelor's degree Research Engineer II Three (3) years of relevant full-time experience after completion of Master's or Five (5) years of relevant full-time experience after completion of Bachelor's or Doctoral Degree Senior Research Engineer Master's degree with seven (7) years of relevant full-time experience after completion of that degree, or Master's degree with nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or Doctoral degree with four (4) years of relevant full-time experience after completion of a Bachelor's degree Principal Research Engineer Master's degree with Eleven (11) years of relevant full-time experience or Doctoral degree with Seven (7) years of relevant full-time experience after completion of a Bachelor's degree One (1) year of relevant full-time experience Experience in Data Science, Network Science, Algorithms, Machine Learning and AI. Preferred Qualifications Bachelor's Degree in Computer Science, Electrical Engineering, a STEM-related field, or equivalent practical experience. Minimum of 4 years of experience in product management. Experience working with open-source software and open-source communities. Experience collaborating with research stakeholders in academic or industry settings. Proven ability to create clear and compelling software specification documents. Experience working closely with software engineers to define feature scope and development estimates. Strong product thinking, with the ability to synthesize information quickly and take decisive action. Empathy for users and experience engaging with customers and stakeholders to understand their needs. Ability to prioritize effectively in environments with limited resources, ambiguity, or competing demands. Strong interpersonal skills and the ability to build positive, collaborative relationships. Clear and compelling communication skills, both verbal and written. Understanding of the software development lifecycle and its various phases. Awareness of opportunities and challenges associated with Generative AI technologies. Contact Information Requests for information may be directed to Dr. Dave Brownell: . USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics . click apply for full job details
About The Role & Team The Walt Disney Company is seeking a strategic, entrepreneurial and collaborative Principal Product Manager, Content Mobilization to lead strategic consumer experience initiatives for our partnership with Epic Games in the development of an expansive digital universe connected to Fortnite. Partnering closely with the VP of Content Mobilization, the Product Manager will define and execute product strategies that integrate creative, technical, and operational elements-bridging user experience design, systems architecture, and guest experience across Disney Digital Entertainment and other divisions of The Walt Disney Company ("TWDC") and Epic Games. The ideal candidate will develop end-to-end consumer journeys for initiatives across multiple physical and digital touchpoints and will combine deep product management expertise, technical fluency, and a passion for creating seamless, story-driven consumer journeys that blend entertainment, interactivity, and innovation. This role requires strong product and project management skills, analytical thinking, and the ability to influence, collaborate and gain alignment across divisional task forces. Candidate should c hampion a culture of customer-centricity, agility, and results-oriented delivery. Key Responsibilities: Strategic Alignment and Execution: Drive alignment of product vision and creating a strategy, and execution plan across multiple teams to ensure cohesive end-to-end consumer journeys between Epic Games and TWDC environments with accountability for cross-organizational integration and long-term planning. Platform and Product Experiences: Translate high-level creative and business goals into seamless, connected user experiences, ensuring that storytelling, interactivity, and operational elements across platforms deliver a unified brand experience at scale across multiple business units. Cross-Organizational Partnerships: Partner with executives, product managers, engineers, game designers, and operations teams to synchronize roadmaps, define dependencies, and ensure seamless integration across systems, content, and guest touchpoints while providing strategic guidance and influencing decisions across partner organizations. Data Optimization and Product Planning: Lead strategy with technical leads to identify system dependencies, data flows, and integration points and assess technical implications for long range product planning. Technical/Operational Requirements: Define technical and operational requirements and project manage deliverables to ensure alignment with business goals and guest experience outcomes while overseeing cross-functional execution across complex, multi-team programs. Stakeholder Collaboration: Act as the key partner between TWDC divisions, Epic Games, and internal stakeholders showcase key milestones, risks, and decision points. Identify solutions and facilitate communication and alignment through clear documentation and executive reporting with an emphasis on enterprise-wide visibility and influence. Performance Monitoring: Define KPIs and success metrics based on analytics and consumer insights. Monitor performance, gather feedback, and drive refinements that enhance both digital and physical guest engagement with accountability for informing executive investment and prioritization decisions. Product Roadmap: Apply understanding of emerging technologies, digital ecosystems, and consumer behavior to inform future product roadmaps and cross-platform experience strategies and serve as a subject matter expert advising senior leadership on market and technology trends. Required Qualifications & Skills 10+ years of experience in Product Management, including end-to-end ownership of digital or technology-enabled consumer experiences with demonstrated leadership of large-scale, multi-stakeholder initiatives. Proven success managing initiatives that span creative development, technical systems, and operational delivery (e.g., digital entertainment, gaming, Parks, or connected experiences) with measurable impact at a divisional or enterprise level. Strong technical fluency-comfortable working with engineering teams, understanding APIs, systems integration, and software development processes at a depth sufficient to influence integration decisions. Experience defining product strategies, writing detailed product and technical requirements, and leading agile delivery teams across complex or ambiguous problem spaces. Demonstrated ability to navigate and influence within a large, matrixed organization at senior levels, driving alignment across competing priorities. Exceptional leadership, analytical, and communication skills. Passion for Disney storytelling, immersive entertainment, and innovation across digital and physical experiences. Willingness to travel as needed. Experience with gaming, interactive media, or connected ecosystem products (e.g., identity systems, digital rewards, or data-driven engagement). Familiarity with park operations, guest experience technology, or cross-platform entertainment initiatives. Knowledge of agile methodologies and tools (e.g., Jira, Confluence, Airtable, Smartsheet, Miro). Education: Bachelor's degree required in technical field; MBA or advanced technical degree preferred. Additional Information Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Glendale, CA is $188,400 to $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
01/14/2026
Full time
About The Role & Team The Walt Disney Company is seeking a strategic, entrepreneurial and collaborative Principal Product Manager, Content Mobilization to lead strategic consumer experience initiatives for our partnership with Epic Games in the development of an expansive digital universe connected to Fortnite. Partnering closely with the VP of Content Mobilization, the Product Manager will define and execute product strategies that integrate creative, technical, and operational elements-bridging user experience design, systems architecture, and guest experience across Disney Digital Entertainment and other divisions of The Walt Disney Company ("TWDC") and Epic Games. The ideal candidate will develop end-to-end consumer journeys for initiatives across multiple physical and digital touchpoints and will combine deep product management expertise, technical fluency, and a passion for creating seamless, story-driven consumer journeys that blend entertainment, interactivity, and innovation. This role requires strong product and project management skills, analytical thinking, and the ability to influence, collaborate and gain alignment across divisional task forces. Candidate should c hampion a culture of customer-centricity, agility, and results-oriented delivery. Key Responsibilities: Strategic Alignment and Execution: Drive alignment of product vision and creating a strategy, and execution plan across multiple teams to ensure cohesive end-to-end consumer journeys between Epic Games and TWDC environments with accountability for cross-organizational integration and long-term planning. Platform and Product Experiences: Translate high-level creative and business goals into seamless, connected user experiences, ensuring that storytelling, interactivity, and operational elements across platforms deliver a unified brand experience at scale across multiple business units. Cross-Organizational Partnerships: Partner with executives, product managers, engineers, game designers, and operations teams to synchronize roadmaps, define dependencies, and ensure seamless integration across systems, content, and guest touchpoints while providing strategic guidance and influencing decisions across partner organizations. Data Optimization and Product Planning: Lead strategy with technical leads to identify system dependencies, data flows, and integration points and assess technical implications for long range product planning. Technical/Operational Requirements: Define technical and operational requirements and project manage deliverables to ensure alignment with business goals and guest experience outcomes while overseeing cross-functional execution across complex, multi-team programs. Stakeholder Collaboration: Act as the key partner between TWDC divisions, Epic Games, and internal stakeholders showcase key milestones, risks, and decision points. Identify solutions and facilitate communication and alignment through clear documentation and executive reporting with an emphasis on enterprise-wide visibility and influence. Performance Monitoring: Define KPIs and success metrics based on analytics and consumer insights. Monitor performance, gather feedback, and drive refinements that enhance both digital and physical guest engagement with accountability for informing executive investment and prioritization decisions. Product Roadmap: Apply understanding of emerging technologies, digital ecosystems, and consumer behavior to inform future product roadmaps and cross-platform experience strategies and serve as a subject matter expert advising senior leadership on market and technology trends. Required Qualifications & Skills 10+ years of experience in Product Management, including end-to-end ownership of digital or technology-enabled consumer experiences with demonstrated leadership of large-scale, multi-stakeholder initiatives. Proven success managing initiatives that span creative development, technical systems, and operational delivery (e.g., digital entertainment, gaming, Parks, or connected experiences) with measurable impact at a divisional or enterprise level. Strong technical fluency-comfortable working with engineering teams, understanding APIs, systems integration, and software development processes at a depth sufficient to influence integration decisions. Experience defining product strategies, writing detailed product and technical requirements, and leading agile delivery teams across complex or ambiguous problem spaces. Demonstrated ability to navigate and influence within a large, matrixed organization at senior levels, driving alignment across competing priorities. Exceptional leadership, analytical, and communication skills. Passion for Disney storytelling, immersive entertainment, and innovation across digital and physical experiences. Willingness to travel as needed. Experience with gaming, interactive media, or connected ecosystem products (e.g., identity systems, digital rewards, or data-driven engagement). Familiarity with park operations, guest experience technology, or cross-platform entertainment initiatives. Knowledge of agile methodologies and tools (e.g., Jira, Confluence, Airtable, Smartsheet, Miro). Education: Bachelor's degree required in technical field; MBA or advanced technical degree preferred. Additional Information Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Glendale, CA is $188,400 to $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
About The Role & Team The Walt Disney Company is seeking a strategic, entrepreneurial and collaborative Principal Product Manager, Content Mobilization to lead strategic consumer experience initiatives for our partnership with Epic Games in the development of an expansive digital universe connected to Fortnite. Partnering closely with the VP of Content Mobilization, the Product Manager will define and execute product strategies that integrate creative, technical, and operational elements-bridging user experience design, systems architecture, and guest experience across Disney Digital Entertainment and other divisions of The Walt Disney Company ("TWDC") and Epic Games. The ideal candidate will develop end-to-end consumer journeys for initiatives across multiple physical and digital touchpoints and will combine deep product management expertise, technical fluency, and a passion for creating seamless, story-driven consumer journeys that blend entertainment, interactivity, and innovation. This role requires strong product and project management skills, analytical thinking, and the ability to influence, collaborate and gain alignment across divisional task forces. Candidate should c hampion a culture of customer-centricity, agility, and results-oriented delivery. Key Responsibilities: Strategic Alignment and Execution: Drive alignment of product vision and creating a strategy, and execution plan across multiple teams to ensure cohesive end-to-end consumer journeys between Epic Games and TWDC environments with accountability for cross-organizational integration and long-term planning. Platform and Product Experiences: Translate high-level creative and business goals into seamless, connected user experiences, ensuring that storytelling, interactivity, and operational elements across platforms deliver a unified brand experience at scale across multiple business units. Cross-Organizational Partnerships: Partner with executives, product managers, engineers, game designers, and operations teams to synchronize roadmaps, define dependencies, and ensure seamless integration across systems, content, and guest touchpoints while providing strategic guidance and influencing decisions across partner organizations. Data Optimization and Product Planning: Lead strategy with technical leads to identify system dependencies, data flows, and integration points and assess technical implications for long range product planning. Technical/Operational Requirements: Define technical and operational requirements and project manage deliverables to ensure alignment with business goals and guest experience outcomes while overseeing cross-functional execution across complex, multi-team programs. Stakeholder Collaboration: Act as the key partner between TWDC divisions, Epic Games, and internal stakeholders showcase key milestones, risks, and decision points. Identify solutions and facilitate communication and alignment through clear documentation and executive reporting with an emphasis on enterprise-wide visibility and influence. Performance Monitoring: Define KPIs and success metrics based on analytics and consumer insights. Monitor performance, gather feedback, and drive refinements that enhance both digital and physical guest engagement with accountability for informing executive investment and prioritization decisions. Product Roadmap: Apply understanding of emerging technologies, digital ecosystems, and consumer behavior to inform future product roadmaps and cross-platform experience strategies and serve as a subject matter expert advising senior leadership on market and technology trends. Required Qualifications & Skills 10+ years of experience in Product Management, including end-to-end ownership of digital or technology-enabled consumer experiences with demonstrated leadership of large-scale, multi-stakeholder initiatives. Proven success managing initiatives that span creative development, technical systems, and operational delivery (e.g., digital entertainment, gaming, Parks, or connected experiences) with measurable impact at a divisional or enterprise level. Strong technical fluency-comfortable working with engineering teams, understanding APIs, systems integration, and software development processes at a depth sufficient to influence integration decisions. Experience defining product strategies, writing detailed product and technical requirements, and leading agile delivery teams across complex or ambiguous problem spaces. Demonstrated ability to navigate and influence within a large, matrixed organization at senior levels, driving alignment across competing priorities. Exceptional leadership, analytical, and communication skills. Passion for Disney storytelling, immersive entertainment, and innovation across digital and physical experiences. Willingness to travel as needed. Experience with gaming, interactive media, or connected ecosystem products (e.g., identity systems, digital rewards, or data-driven engagement). Familiarity with park operations, guest experience technology, or cross-platform entertainment initiatives. Knowledge of agile methodologies and tools (e.g., Jira, Confluence, Airtable, Smartsheet, Miro). Education: Bachelor's degree required in technical field; MBA or advanced technical degree preferred. Additional Information Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Glendale, CA is $188,400 to $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
01/14/2026
Full time
About The Role & Team The Walt Disney Company is seeking a strategic, entrepreneurial and collaborative Principal Product Manager, Content Mobilization to lead strategic consumer experience initiatives for our partnership with Epic Games in the development of an expansive digital universe connected to Fortnite. Partnering closely with the VP of Content Mobilization, the Product Manager will define and execute product strategies that integrate creative, technical, and operational elements-bridging user experience design, systems architecture, and guest experience across Disney Digital Entertainment and other divisions of The Walt Disney Company ("TWDC") and Epic Games. The ideal candidate will develop end-to-end consumer journeys for initiatives across multiple physical and digital touchpoints and will combine deep product management expertise, technical fluency, and a passion for creating seamless, story-driven consumer journeys that blend entertainment, interactivity, and innovation. This role requires strong product and project management skills, analytical thinking, and the ability to influence, collaborate and gain alignment across divisional task forces. Candidate should c hampion a culture of customer-centricity, agility, and results-oriented delivery. Key Responsibilities: Strategic Alignment and Execution: Drive alignment of product vision and creating a strategy, and execution plan across multiple teams to ensure cohesive end-to-end consumer journeys between Epic Games and TWDC environments with accountability for cross-organizational integration and long-term planning. Platform and Product Experiences: Translate high-level creative and business goals into seamless, connected user experiences, ensuring that storytelling, interactivity, and operational elements across platforms deliver a unified brand experience at scale across multiple business units. Cross-Organizational Partnerships: Partner with executives, product managers, engineers, game designers, and operations teams to synchronize roadmaps, define dependencies, and ensure seamless integration across systems, content, and guest touchpoints while providing strategic guidance and influencing decisions across partner organizations. Data Optimization and Product Planning: Lead strategy with technical leads to identify system dependencies, data flows, and integration points and assess technical implications for long range product planning. Technical/Operational Requirements: Define technical and operational requirements and project manage deliverables to ensure alignment with business goals and guest experience outcomes while overseeing cross-functional execution across complex, multi-team programs. Stakeholder Collaboration: Act as the key partner between TWDC divisions, Epic Games, and internal stakeholders showcase key milestones, risks, and decision points. Identify solutions and facilitate communication and alignment through clear documentation and executive reporting with an emphasis on enterprise-wide visibility and influence. Performance Monitoring: Define KPIs and success metrics based on analytics and consumer insights. Monitor performance, gather feedback, and drive refinements that enhance both digital and physical guest engagement with accountability for informing executive investment and prioritization decisions. Product Roadmap: Apply understanding of emerging technologies, digital ecosystems, and consumer behavior to inform future product roadmaps and cross-platform experience strategies and serve as a subject matter expert advising senior leadership on market and technology trends. Required Qualifications & Skills 10+ years of experience in Product Management, including end-to-end ownership of digital or technology-enabled consumer experiences with demonstrated leadership of large-scale, multi-stakeholder initiatives. Proven success managing initiatives that span creative development, technical systems, and operational delivery (e.g., digital entertainment, gaming, Parks, or connected experiences) with measurable impact at a divisional or enterprise level. Strong technical fluency-comfortable working with engineering teams, understanding APIs, systems integration, and software development processes at a depth sufficient to influence integration decisions. Experience defining product strategies, writing detailed product and technical requirements, and leading agile delivery teams across complex or ambiguous problem spaces. Demonstrated ability to navigate and influence within a large, matrixed organization at senior levels, driving alignment across competing priorities. Exceptional leadership, analytical, and communication skills. Passion for Disney storytelling, immersive entertainment, and innovation across digital and physical experiences. Willingness to travel as needed. Experience with gaming, interactive media, or connected ecosystem products (e.g., identity systems, digital rewards, or data-driven engagement). Familiarity with park operations, guest experience technology, or cross-platform entertainment initiatives. Knowledge of agile methodologies and tools (e.g., Jira, Confluence, Airtable, Smartsheet, Miro). Education: Bachelor's degree required in technical field; MBA or advanced technical degree preferred. Additional Information Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Glendale, CA is $188,400 to $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Job Title: Technology Architect, Principal Location : Oakland, CA Pay : $147,000.00 - $182,950.00 This position is hybrid, remote and in-person at the Oakland General Office (OGO) based on business needs. Department Overview 's Information Technology (IT) organization is a unified organization comprised of various departments which collaborate effectively to deliver high-quality technology solutions. The Digital Workplace Team, part of the Infrastructure & Cloud Services organization, delivers the technologies and support that power a best-in-class Digital Employee Experience-enhancing joy at work through reliable devices, seamless collaboration tools, and responsive services that drive productivity. Position Summary The Digital Workplace Team is seeking a visionary Principal Technology Architect to lead the future-state architecture for the Coworker User-Technologies domain. This role partners with Enterprise Architecture on strategic direction and sets the tactical roadmaps for Digital Workplace, aligning with industry trends, business needs, and 's enterprise goals. The Technology Architect is instrumental in shaping the Coworker digital experience through modern, secure, and scalable technology solutions. This role translates the Digital Workplace vision into actionable solutions by aligning processes, IT funding guidelines, program portfolios, and IT infrastructure to drive business maturity and prioritize strategic investments. The desired candidate is a strategic thinker, strong collaborator, and advocate for digital employee experience - someone who can operate independently while influencing cross-functional outcomes. Job Responsibilities Define and align Digital Workplace technology strategies with enterprise goals and key stakeholders, enabling a multi-year roadmap of scalable solutions. Develop and maintain architectural artifacts, including current/future state models, standards, and reference architectures. Collaborate on Digital Workplace portfolio planning and budgeting to ensure alignment with strategic roadmaps and business priorities within the annual Business Plan Development process. Create and maintain Technology Standards and ensure Governance compliance. Monitor industry trends and bring innovative ideas to improve the digital employee experience. Stay current on emerging technologies (e.g., AI, cloud, mobile, virtualization, endpoint monitoring). Partner with Enterprise Architects and Solutions Engineers to guide solution design from concept through implementation. Support project delivery by reviewing designs and providing technical leadership to business and IT teams. Lead change initiatives for Digital Workplace technologies, from business case to execution. Solve complex challenges across the Digital Workplace stack, ensuring productivity, reliability, and security. Understand business problems and proactively identify technology solutions through collaboration with peer architects, subject matter experts, business partners, and/or vendors. Provide expert consulting on the full Digital Workplace stack, including architecture, usage, and optimization. Collaborate with Digital Workplace teams on roadmap plans to incorporate customer feedback and pain points to shape future-state solutions while managing conflicts and dependencies. Present strategies and solutions effectively to senior leadership and cross-functional stakeholders. Actively contribute to architectural governance processes such as Communities of Practice and Architecture Review Boards. Produce clear documentation and communicate complex ideas to both technical and non-technical audiences. Manage Microsoft Enterprise Agreement contracts and associated services, ensuring alignment with business needs. Offer strategic direction and mentorship to technical teams within the Digital Workplace organization. Qualifications Minimum: BA/BS in Computer Science, Business, Engineering or equivalent work experience. Experience in Information Technology architecture, 10 years. Desired: Strategy & Architecture: Understands how Digital Workplace technologies align with business goals; balances long-term vision with short-term needs. Translates business needs into scalable, secure, user-centric architectures. Experienced in Digital Workplace portfolio planning (5-10-year cycles). Designs integrated solutions across identity, security, collaboration, and support ecosystems. Understands dependencies between networking, security, cloud infrastructure, and end-user experience. Leads technical governance, standards development, and vendor evaluations. Measures success and communicates value through quantifiable outcomes. Technical Expertise: Mastery of Microsoft 365, Citrix, Azure Virtual Desktop, Intune, SCCM, endpoint monitoring, application packaging, device lifecycle, zero-touch deployment, Windows, macOS, and iOS. Leverages Power Platform, scripting, and AI to automate onboarding, support, and provisioning. Applies Lean/Agile principles and automation to solve complex problems and reduce manual processes. Stays current with trends like Copilot, Zero Trust, and AI-driven IT support. Coworker Experience & Empathy: Advocates for employee experience and IT satisfaction (CSAT), using telemetry and feedback to guide design. Designs with empathy, accessibility, usability, and hybrid work in mind. Partners with change managers to drive adoption through analytics and support metrics. Collaborates with Tier-1 and Tier-3 teams to create support content and promote digital adoption. Communication & Leadership: Communicates clearly with both technical and non-technical stakeholders. Demonstrates strong leadership, communication, and influencing skills. Takes ownership, drives results, and overcomes challenges independently. Exercises sound judgment, shares candid feedback, and thrives in ambiguity. Manages multiple priorities and maintains strong documentation and administrative discipline. Education & Experience: Master's degree in business administration/engineering or equivalent experience. Relevant experience in the utility industry.
01/06/2026
Full time
Job Title: Technology Architect, Principal Location : Oakland, CA Pay : $147,000.00 - $182,950.00 This position is hybrid, remote and in-person at the Oakland General Office (OGO) based on business needs. Department Overview 's Information Technology (IT) organization is a unified organization comprised of various departments which collaborate effectively to deliver high-quality technology solutions. The Digital Workplace Team, part of the Infrastructure & Cloud Services organization, delivers the technologies and support that power a best-in-class Digital Employee Experience-enhancing joy at work through reliable devices, seamless collaboration tools, and responsive services that drive productivity. Position Summary The Digital Workplace Team is seeking a visionary Principal Technology Architect to lead the future-state architecture for the Coworker User-Technologies domain. This role partners with Enterprise Architecture on strategic direction and sets the tactical roadmaps for Digital Workplace, aligning with industry trends, business needs, and 's enterprise goals. The Technology Architect is instrumental in shaping the Coworker digital experience through modern, secure, and scalable technology solutions. This role translates the Digital Workplace vision into actionable solutions by aligning processes, IT funding guidelines, program portfolios, and IT infrastructure to drive business maturity and prioritize strategic investments. The desired candidate is a strategic thinker, strong collaborator, and advocate for digital employee experience - someone who can operate independently while influencing cross-functional outcomes. Job Responsibilities Define and align Digital Workplace technology strategies with enterprise goals and key stakeholders, enabling a multi-year roadmap of scalable solutions. Develop and maintain architectural artifacts, including current/future state models, standards, and reference architectures. Collaborate on Digital Workplace portfolio planning and budgeting to ensure alignment with strategic roadmaps and business priorities within the annual Business Plan Development process. Create and maintain Technology Standards and ensure Governance compliance. Monitor industry trends and bring innovative ideas to improve the digital employee experience. Stay current on emerging technologies (e.g., AI, cloud, mobile, virtualization, endpoint monitoring). Partner with Enterprise Architects and Solutions Engineers to guide solution design from concept through implementation. Support project delivery by reviewing designs and providing technical leadership to business and IT teams. Lead change initiatives for Digital Workplace technologies, from business case to execution. Solve complex challenges across the Digital Workplace stack, ensuring productivity, reliability, and security. Understand business problems and proactively identify technology solutions through collaboration with peer architects, subject matter experts, business partners, and/or vendors. Provide expert consulting on the full Digital Workplace stack, including architecture, usage, and optimization. Collaborate with Digital Workplace teams on roadmap plans to incorporate customer feedback and pain points to shape future-state solutions while managing conflicts and dependencies. Present strategies and solutions effectively to senior leadership and cross-functional stakeholders. Actively contribute to architectural governance processes such as Communities of Practice and Architecture Review Boards. Produce clear documentation and communicate complex ideas to both technical and non-technical audiences. Manage Microsoft Enterprise Agreement contracts and associated services, ensuring alignment with business needs. Offer strategic direction and mentorship to technical teams within the Digital Workplace organization. Qualifications Minimum: BA/BS in Computer Science, Business, Engineering or equivalent work experience. Experience in Information Technology architecture, 10 years. Desired: Strategy & Architecture: Understands how Digital Workplace technologies align with business goals; balances long-term vision with short-term needs. Translates business needs into scalable, secure, user-centric architectures. Experienced in Digital Workplace portfolio planning (5-10-year cycles). Designs integrated solutions across identity, security, collaboration, and support ecosystems. Understands dependencies between networking, security, cloud infrastructure, and end-user experience. Leads technical governance, standards development, and vendor evaluations. Measures success and communicates value through quantifiable outcomes. Technical Expertise: Mastery of Microsoft 365, Citrix, Azure Virtual Desktop, Intune, SCCM, endpoint monitoring, application packaging, device lifecycle, zero-touch deployment, Windows, macOS, and iOS. Leverages Power Platform, scripting, and AI to automate onboarding, support, and provisioning. Applies Lean/Agile principles and automation to solve complex problems and reduce manual processes. Stays current with trends like Copilot, Zero Trust, and AI-driven IT support. Coworker Experience & Empathy: Advocates for employee experience and IT satisfaction (CSAT), using telemetry and feedback to guide design. Designs with empathy, accessibility, usability, and hybrid work in mind. Partners with change managers to drive adoption through analytics and support metrics. Collaborates with Tier-1 and Tier-3 teams to create support content and promote digital adoption. Communication & Leadership: Communicates clearly with both technical and non-technical stakeholders. Demonstrates strong leadership, communication, and influencing skills. Takes ownership, drives results, and overcomes challenges independently. Exercises sound judgment, shares candid feedback, and thrives in ambiguity. Manages multiple priorities and maintains strong documentation and administrative discipline. Education & Experience: Master's degree in business administration/engineering or equivalent experience. Relevant experience in the utility industry.
Location: Battery Park City Hybrid: 4 days in office Compensation: 200k - 240k + 20-30% Bonus PTO: Unlimited Benefits: Exceptional Overview Implement automation strategies to improve trading workflows (Equities, Futures, FX, Options) New Development 30% Enhancements 50% Maintenance 20% Backend 70% Frontend 30% Build customizations and interfaces to Portware Interface with Traders and Portfolio Managers; collaborate with Product Owner Hands-on implementation (building out solutions, SDLC pipelines, code reviews, test case design) Provide architectural input influence design aligning with future state Lead, mentor Tech Stack Java (50%) Java Swing (30% - for custom interfaces to EMS platform) SQL Server (10%) VB.net (10%) Portware EMS AWS, Snowflake Agile, Microservices TDD, Unit Testing (Pytest, UnitTest) GIT Co-pilot, Eclipse, VS Code, Jira, Confluence, Docker, Ideal experience: DevSecOps (ANT, Maven, Artifactory) Skills & Qualifications Trading workflow (Equities, Futures, Options, FX) Portware (or other EMS) 10+ years Fullstack Software Engineering 4+ years Architecture (microservices and other architectural concepts) Mastery of Java and Java frameworks Experience with Java Swing is a plus Cloud-native development expertise (ideally AWS) Skilled in troubleshooting and debugging performance issues Nice to haves: BS or MS in Computer Science, Math or related, CFA, CRD/CRIMS experience
01/03/2026
Location: Battery Park City Hybrid: 4 days in office Compensation: 200k - 240k + 20-30% Bonus PTO: Unlimited Benefits: Exceptional Overview Implement automation strategies to improve trading workflows (Equities, Futures, FX, Options) New Development 30% Enhancements 50% Maintenance 20% Backend 70% Frontend 30% Build customizations and interfaces to Portware Interface with Traders and Portfolio Managers; collaborate with Product Owner Hands-on implementation (building out solutions, SDLC pipelines, code reviews, test case design) Provide architectural input influence design aligning with future state Lead, mentor Tech Stack Java (50%) Java Swing (30% - for custom interfaces to EMS platform) SQL Server (10%) VB.net (10%) Portware EMS AWS, Snowflake Agile, Microservices TDD, Unit Testing (Pytest, UnitTest) GIT Co-pilot, Eclipse, VS Code, Jira, Confluence, Docker, Ideal experience: DevSecOps (ANT, Maven, Artifactory) Skills & Qualifications Trading workflow (Equities, Futures, Options, FX) Portware (or other EMS) 10+ years Fullstack Software Engineering 4+ years Architecture (microservices and other architectural concepts) Mastery of Java and Java frameworks Experience with Java Swing is a plus Cloud-native development expertise (ideally AWS) Skilled in troubleshooting and debugging performance issues Nice to haves: BS or MS in Computer Science, Math or related, CFA, CRD/CRIMS experience
Embedded Systems Engineer/Programmer Direct Hire Position, not a contract! Our client creates innovative custom machine control solutions. During the past 20 years, they have provided industrial automation systems, machines, services and components to machine builders and end-users throughout the world. They occupy a unique niche as both a Factory Authorized Systems Integrator and an Authorized Distributor for many quality automation lines. They value creativity, flexibility, elegant solutions, truth, and altruism. As a locally owned and operated company, they embrace their customers' goals as our own and seek multifaceted people who bring those machines to life. Summary In this position, you will create innovative, responsive solutions to a wide variety of machine control applications. You will apply a common "toolbox" of components to create custom solutions for a wide variety of applications. You will develop projects from customer discovery; to PLC, HMI, Motion, and Network programming; through validation and startup at the customer's location. Most projects are completed in less than six weeks, and startups are usually day-trips. Individual initiative, a dedication to quality and a sense of pride in one's workmanship is critical. As a member of our engineering team, you will work cooperatively with the principal engineer, other engineers, drafts people, project managers, and production technicians on a wide variety of interesting and challenging projects. The ideal candidate loves writing clean, elegant code from a blank slate. A lifelong-learner or student mindset is essential, as is the ability to be flexible and willing to try on new roles in the process. Base skills and traits Basic electronics theory Experience with using a multimeter to diagnose electrical problems is a plus Aptitude for applied programming (projects that demonstrate interaction with the real world are a plus) Other experiences, for example car maintenance, electronics repair/soldering, hobby projects etc. that demonstrate active problem-solving skills in relation to machines or electrical circuits Adaptability: ability to learn new languages, interfaces, development environments, etc. quickly Problem identification: isolate the most important problem component in any situation and pursue its resolution Pragmatic: seek resolution, not perfection Team Skills/Personable: ability to communicate with team members, interact with outside clients Specific skills: Demonstrable mastery of one or more of the following: C, C++, Java, C#, Python, JavaScript, Ruby Basic understanding of algorithms and algorithmic complexity (101 level is sufficient) Computer architecture fundamentals Linux and/or Windows command line Spreadsheets, data normalization Boolean logic Willingness to write disciplined, organized, and well-documented code. Beneficial Experience Mastery of IEC 61131-3 PLC programming, with an emphasis on Structured Text and Ladder. Fluent in ANSI Y32.2/IEEE and IEC electrical schematic symbols and layouts Fluent in ANSI/ISA S5.1 P&ID process schematics symbols and layouts. Functional understanding of UL508A and NFPA79 standards. Expert proficiency implementing/troubleshooting PLCs, HMI, motion control, servo systems, industrial sensors. Experience with industrial networks such as Modbus TCP, Ethernet/IP, CANopen, and J1939. Excellent customer service skills and an ability to calmly guide our customers through the startup process. Experience commissioning and troubleshooting automation systems. 5+ Years of experience PLC Programming with CoDeSys (SoMachine) on Schneider and Wago PLCs. PLC Programming for Mitsubishi FX-, A-, Q- and iQ- PLC systems. PLC Programming for Rockwell/Allen-Bradley Motion Programming with CoDeSys (SoMachine) SoftMotion, or Mitsubishi motion controllers. HMI Programming for Schneider (Proface), Red Lion, Mitsubishi, Panelview systems. ANSI C/C++ Programming Database fundamentals Web programming/UI Embedded programming (PIC, atmel, in C/C++ Assembly language proficiency Sockets Automation using scripting/command line VMs, Docker, Kubernetes Linux build/configuration Perl, PHP, regular expressions IT experience REST, OAUTH Working Environment Most work will be performed at our offices in Beaverton, Oregon. Additional work will be required in a wide variety of environments and industries, including everything from clean-room to rock quarry to military installations. You must be willing and able to work offsite as required. Fieldwork is usually within driving distance but will include out-of-town startup and service trips generally amounting to less than 15% of the total work schedule. Compensation & Benefits Base Pay: Up to $125,000 for highly qualified candidates Flexible work schedule; Paid vacation with additional Paid Time Off (PTO); Paid holidays; Healthcare; Specialty training and new skills development, and more. Apply online or Call today to apply! PrideStaff Portland is a locally owned and operated Staffing Agency. PrideStaff is a winner of the coveted "Best of Staffing" Diamond award for 11 consecutive years for the highest level of satisfaction as rated by our valued Employees and Clients. Over the years, PrideStaff has been a consistent industry leader, developing technology and service processes that allow our organization to deliver superior performance. When it comes to your success, we leave nothing to chance. Allow us to support your job and career search and see the difference PrideStaff can make for you! Compensation / Pay Rate (Up to): $105,000.00 - $125,000.00
12/20/2025
Full time
Embedded Systems Engineer/Programmer Direct Hire Position, not a contract! Our client creates innovative custom machine control solutions. During the past 20 years, they have provided industrial automation systems, machines, services and components to machine builders and end-users throughout the world. They occupy a unique niche as both a Factory Authorized Systems Integrator and an Authorized Distributor for many quality automation lines. They value creativity, flexibility, elegant solutions, truth, and altruism. As a locally owned and operated company, they embrace their customers' goals as our own and seek multifaceted people who bring those machines to life. Summary In this position, you will create innovative, responsive solutions to a wide variety of machine control applications. You will apply a common "toolbox" of components to create custom solutions for a wide variety of applications. You will develop projects from customer discovery; to PLC, HMI, Motion, and Network programming; through validation and startup at the customer's location. Most projects are completed in less than six weeks, and startups are usually day-trips. Individual initiative, a dedication to quality and a sense of pride in one's workmanship is critical. As a member of our engineering team, you will work cooperatively with the principal engineer, other engineers, drafts people, project managers, and production technicians on a wide variety of interesting and challenging projects. The ideal candidate loves writing clean, elegant code from a blank slate. A lifelong-learner or student mindset is essential, as is the ability to be flexible and willing to try on new roles in the process. Base skills and traits Basic electronics theory Experience with using a multimeter to diagnose electrical problems is a plus Aptitude for applied programming (projects that demonstrate interaction with the real world are a plus) Other experiences, for example car maintenance, electronics repair/soldering, hobby projects etc. that demonstrate active problem-solving skills in relation to machines or electrical circuits Adaptability: ability to learn new languages, interfaces, development environments, etc. quickly Problem identification: isolate the most important problem component in any situation and pursue its resolution Pragmatic: seek resolution, not perfection Team Skills/Personable: ability to communicate with team members, interact with outside clients Specific skills: Demonstrable mastery of one or more of the following: C, C++, Java, C#, Python, JavaScript, Ruby Basic understanding of algorithms and algorithmic complexity (101 level is sufficient) Computer architecture fundamentals Linux and/or Windows command line Spreadsheets, data normalization Boolean logic Willingness to write disciplined, organized, and well-documented code. Beneficial Experience Mastery of IEC 61131-3 PLC programming, with an emphasis on Structured Text and Ladder. Fluent in ANSI Y32.2/IEEE and IEC electrical schematic symbols and layouts Fluent in ANSI/ISA S5.1 P&ID process schematics symbols and layouts. Functional understanding of UL508A and NFPA79 standards. Expert proficiency implementing/troubleshooting PLCs, HMI, motion control, servo systems, industrial sensors. Experience with industrial networks such as Modbus TCP, Ethernet/IP, CANopen, and J1939. Excellent customer service skills and an ability to calmly guide our customers through the startup process. Experience commissioning and troubleshooting automation systems. 5+ Years of experience PLC Programming with CoDeSys (SoMachine) on Schneider and Wago PLCs. PLC Programming for Mitsubishi FX-, A-, Q- and iQ- PLC systems. PLC Programming for Rockwell/Allen-Bradley Motion Programming with CoDeSys (SoMachine) SoftMotion, or Mitsubishi motion controllers. HMI Programming for Schneider (Proface), Red Lion, Mitsubishi, Panelview systems. ANSI C/C++ Programming Database fundamentals Web programming/UI Embedded programming (PIC, atmel, in C/C++ Assembly language proficiency Sockets Automation using scripting/command line VMs, Docker, Kubernetes Linux build/configuration Perl, PHP, regular expressions IT experience REST, OAUTH Working Environment Most work will be performed at our offices in Beaverton, Oregon. Additional work will be required in a wide variety of environments and industries, including everything from clean-room to rock quarry to military installations. You must be willing and able to work offsite as required. Fieldwork is usually within driving distance but will include out-of-town startup and service trips generally amounting to less than 15% of the total work schedule. Compensation & Benefits Base Pay: Up to $125,000 for highly qualified candidates Flexible work schedule; Paid vacation with additional Paid Time Off (PTO); Paid holidays; Healthcare; Specialty training and new skills development, and more. Apply online or Call today to apply! PrideStaff Portland is a locally owned and operated Staffing Agency. PrideStaff is a winner of the coveted "Best of Staffing" Diamond award for 11 consecutive years for the highest level of satisfaction as rated by our valued Employees and Clients. Over the years, PrideStaff has been a consistent industry leader, developing technology and service processes that allow our organization to deliver superior performance. When it comes to your success, we leave nothing to chance. Allow us to support your job and career search and see the difference PrideStaff can make for you! Compensation / Pay Rate (Up to): $105,000.00 - $125,000.00
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a dedicated Intermediate Level - Digital/Technical Product Manager-Digital Platform Services & Personalization you will support the discovery, delivery, and performance of digital and technology products and their experiences for USAA and its members. Collaborates with internal collaborators and partners to tackle complex and exciting problems to optimize the customers' (internal/external) experience with market offerings. Designs and drives implementation of multi-platform technology and digital solutions. Optimizes and improves existing products and experiences across all channels and platforms to drive Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs). Employs Human-Centered Design and Design Thinking methodologies to bring world-class Digital and/or Technology driven products to market. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX and Plano, TX. Relocation assistance is not available for this position. What you'll do: Leverages Digital or Technology research, business and market intelligence, and data-driven insights to support team members to identify opportunities, propose solutions, create and maintain roadmaps, and improve performance. Prepares supporting data and materials for generating compelling presentations, and other forms of communication, to inform and influence key stakeholders. Collaborates with stakeholders to formulate effective strategies for achieving key Digital or Technology product goals. Finds areas of opportunity and solves for customer pain points to inform and support team members. Leverages data-driven problem-solving techniques and analytical rigor to understand and report on product and experience performance against KPIs/KRIs. Researches and identifies industry best practices and trends to increase effectiveness of Digital or Technology products. Maintains and applies developing knowledge of the Business, Technology, UX, and relevant experiences and processes, and an academic understanding of Product Management. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years Digital/Technology Product Management experience, to include Digital/Technology experience in Strategy/Planning, Innovation, User Experience, Process Engineering, Analytics, Research/Testing. 1 year of Customer Contact Channel experience within Insurance or Financial services industry will take place of 1 year of the minimum experience required. Experience developing presentations to communicate complex concepts to a diverse audience. Knowledge of Agile Methodology. What sets you apart: Proven experience refining agile features for complex platforms Strong UX understanding leading to exceptional end to end digital experiences. Demonstrated ability to connect and influence cross-functional teams to achieve congruent outcomes. Experience driving alignment in matrixed organizations through communication and problem-solving. Proficient in business analytics tools (ie. Gridspace, Glassbox, Adobe Analytics) to convert data into actionable business improvements. Solid business acumen with direct experience in financial product verticals such as banking and insurance, understanding economics and trends Evidenced focused on continuous growth and development, incorporating new technologies and innovations into product strategy. Adaptability and agility to keep pace with digital trends and technologies. Possesses a strong ability to translate business requirements into clear platform implications and technical specifications to inform priority. Demonstrates understanding of platform architecture and backend systems to effectively evaluate feasibility, estimate effort, and drive conversations forward. Able to bridge the gap between business stakeholders and technical teams, ensuring that proposed solutions are technically sound given constraints and aligned with the overall platform strategy. Compensation range: The salary range for this position is: $77,120 - $147,390. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
12/19/2025
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a dedicated Intermediate Level - Digital/Technical Product Manager-Digital Platform Services & Personalization you will support the discovery, delivery, and performance of digital and technology products and their experiences for USAA and its members. Collaborates with internal collaborators and partners to tackle complex and exciting problems to optimize the customers' (internal/external) experience with market offerings. Designs and drives implementation of multi-platform technology and digital solutions. Optimizes and improves existing products and experiences across all channels and platforms to drive Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs). Employs Human-Centered Design and Design Thinking methodologies to bring world-class Digital and/or Technology driven products to market. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX and Plano, TX. Relocation assistance is not available for this position. What you'll do: Leverages Digital or Technology research, business and market intelligence, and data-driven insights to support team members to identify opportunities, propose solutions, create and maintain roadmaps, and improve performance. Prepares supporting data and materials for generating compelling presentations, and other forms of communication, to inform and influence key stakeholders. Collaborates with stakeholders to formulate effective strategies for achieving key Digital or Technology product goals. Finds areas of opportunity and solves for customer pain points to inform and support team members. Leverages data-driven problem-solving techniques and analytical rigor to understand and report on product and experience performance against KPIs/KRIs. Researches and identifies industry best practices and trends to increase effectiveness of Digital or Technology products. Maintains and applies developing knowledge of the Business, Technology, UX, and relevant experiences and processes, and an academic understanding of Product Management. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years Digital/Technology Product Management experience, to include Digital/Technology experience in Strategy/Planning, Innovation, User Experience, Process Engineering, Analytics, Research/Testing. 1 year of Customer Contact Channel experience within Insurance or Financial services industry will take place of 1 year of the minimum experience required. Experience developing presentations to communicate complex concepts to a diverse audience. Knowledge of Agile Methodology. What sets you apart: Proven experience refining agile features for complex platforms Strong UX understanding leading to exceptional end to end digital experiences. Demonstrated ability to connect and influence cross-functional teams to achieve congruent outcomes. Experience driving alignment in matrixed organizations through communication and problem-solving. Proficient in business analytics tools (ie. Gridspace, Glassbox, Adobe Analytics) to convert data into actionable business improvements. Solid business acumen with direct experience in financial product verticals such as banking and insurance, understanding economics and trends Evidenced focused on continuous growth and development, incorporating new technologies and innovations into product strategy. Adaptability and agility to keep pace with digital trends and technologies. Possesses a strong ability to translate business requirements into clear platform implications and technical specifications to inform priority. Demonstrates understanding of platform architecture and backend systems to effectively evaluate feasibility, estimate effort, and drive conversations forward. Able to bridge the gap between business stakeholders and technical teams, ensuring that proposed solutions are technically sound given constraints and aligned with the overall platform strategy. Compensation range: The salary range for this position is: $77,120 - $147,390. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a dedicated Intermediate Level - Digital/Technical Product Manager-Digital Platform Services & Personalization you will support the discovery, delivery, and performance of digital and technology products and their experiences for USAA and its members. Collaborates with internal collaborators and partners to tackle complex and exciting problems to optimize the customers' (internal/external) experience with market offerings. Designs and drives implementation of multi-platform technology and digital solutions. Optimizes and improves existing products and experiences across all channels and platforms to drive Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs). Employs Human-Centered Design and Design Thinking methodologies to bring world-class Digital and/or Technology driven products to market. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX and Plano, TX. Relocation assistance is not available for this position. What you'll do: Leverages Digital or Technology research, business and market intelligence, and data-driven insights to support team members to identify opportunities, propose solutions, create and maintain roadmaps, and improve performance. Prepares supporting data and materials for generating compelling presentations, and other forms of communication, to inform and influence key stakeholders. Collaborates with stakeholders to formulate effective strategies for achieving key Digital or Technology product goals. Finds areas of opportunity and solves for customer pain points to inform and support team members. Leverages data-driven problem-solving techniques and analytical rigor to understand and report on product and experience performance against KPIs/KRIs. Researches and identifies industry best practices and trends to increase effectiveness of Digital or Technology products. Maintains and applies developing knowledge of the Business, Technology, UX, and relevant experiences and processes, and an academic understanding of Product Management. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years Digital/Technology Product Management experience, to include Digital/Technology experience in Strategy/Planning, Innovation, User Experience, Process Engineering, Analytics, Research/Testing. 1 year of Customer Contact Channel experience within Insurance or Financial services industry will take place of 1 year of the minimum experience required. Experience developing presentations to communicate complex concepts to a diverse audience. Knowledge of Agile Methodology. What sets you apart: Proven experience refining agile features for complex platforms Strong UX understanding leading to exceptional end to end digital experiences. Demonstrated ability to connect and influence cross-functional teams to achieve congruent outcomes. Experience driving alignment in matrixed organizations through communication and problem-solving. Proficient in business analytics tools (ie. Gridspace, Glassbox, Adobe Analytics) to convert data into actionable business improvements. Solid business acumen with direct experience in financial product verticals such as banking and insurance, understanding economics and trends Evidenced focused on continuous growth and development, incorporating new technologies and innovations into product strategy. Adaptability and agility to keep pace with digital trends and technologies. Possesses a strong ability to translate business requirements into clear platform implications and technical specifications to inform priority. Demonstrates understanding of platform architecture and backend systems to effectively evaluate feasibility, estimate effort, and drive conversations forward. Able to bridge the gap between business stakeholders and technical teams, ensuring that proposed solutions are technically sound given constraints and aligned with the overall platform strategy. Compensation range: The salary range for this position is: $77,120 - $147,390. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
12/19/2025
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a dedicated Intermediate Level - Digital/Technical Product Manager-Digital Platform Services & Personalization you will support the discovery, delivery, and performance of digital and technology products and their experiences for USAA and its members. Collaborates with internal collaborators and partners to tackle complex and exciting problems to optimize the customers' (internal/external) experience with market offerings. Designs and drives implementation of multi-platform technology and digital solutions. Optimizes and improves existing products and experiences across all channels and platforms to drive Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs). Employs Human-Centered Design and Design Thinking methodologies to bring world-class Digital and/or Technology driven products to market. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX and Plano, TX. Relocation assistance is not available for this position. What you'll do: Leverages Digital or Technology research, business and market intelligence, and data-driven insights to support team members to identify opportunities, propose solutions, create and maintain roadmaps, and improve performance. Prepares supporting data and materials for generating compelling presentations, and other forms of communication, to inform and influence key stakeholders. Collaborates with stakeholders to formulate effective strategies for achieving key Digital or Technology product goals. Finds areas of opportunity and solves for customer pain points to inform and support team members. Leverages data-driven problem-solving techniques and analytical rigor to understand and report on product and experience performance against KPIs/KRIs. Researches and identifies industry best practices and trends to increase effectiveness of Digital or Technology products. Maintains and applies developing knowledge of the Business, Technology, UX, and relevant experiences and processes, and an academic understanding of Product Management. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years Digital/Technology Product Management experience, to include Digital/Technology experience in Strategy/Planning, Innovation, User Experience, Process Engineering, Analytics, Research/Testing. 1 year of Customer Contact Channel experience within Insurance or Financial services industry will take place of 1 year of the minimum experience required. Experience developing presentations to communicate complex concepts to a diverse audience. Knowledge of Agile Methodology. What sets you apart: Proven experience refining agile features for complex platforms Strong UX understanding leading to exceptional end to end digital experiences. Demonstrated ability to connect and influence cross-functional teams to achieve congruent outcomes. Experience driving alignment in matrixed organizations through communication and problem-solving. Proficient in business analytics tools (ie. Gridspace, Glassbox, Adobe Analytics) to convert data into actionable business improvements. Solid business acumen with direct experience in financial product verticals such as banking and insurance, understanding economics and trends Evidenced focused on continuous growth and development, incorporating new technologies and innovations into product strategy. Adaptability and agility to keep pace with digital trends and technologies. Possesses a strong ability to translate business requirements into clear platform implications and technical specifications to inform priority. Demonstrates understanding of platform architecture and backend systems to effectively evaluate feasibility, estimate effort, and drive conversations forward. Able to bridge the gap between business stakeholders and technical teams, ensuring that proposed solutions are technically sound given constraints and aligned with the overall platform strategy. Compensation range: The salary range for this position is: $77,120 - $147,390. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Location: Battery Park City Hybrid: 4 days in office Compensation: 200k - 240k + 20-30% Bonus PTO: Unlimited Benefits: Exceptional Overview Implement automation strategies to improve trading workflows (Equities, Futures, FX, Options) New Development 30% Enhancements 50% Maintenance 20% Backend 70% Frontend 30% Build customizations and interfaces to Portware Interface with Traders and Portfolio Managers; collaborate with Product Owner Hands-on implementation (building out solutions, SDLC pipelines, code reviews, test case design) Provide architectural input influence design aligning with future state Lead, mentor Tech Stack Java (50%) Java Swing (30% - for custom interfaces to EMS platform) SQL Server (10%) VB.net (10%) Portware EMS AWS, Snowflake Agile, Microservices TDD, Unit Testing (Pytest, UnitTest) GIT Co-pilot, Eclipse, VS Code, Jira, Confluence, Docker, Ideal experience: DevSecOps (ANT, Maven, Artifactory) Skills & Qualifications Trading workflow (Equities, Futures, Options, FX) Portware (or other EMS) 10+ years Fullstack Software Engineering 4+ years Architecture (microservices and other architectural concepts) Mastery of Java and Java frameworks Experience with Java Swing is a plus Cloud-native development expertise (ideally AWS) Skilled in troubleshooting and debugging performance issues Nice to haves: BS or MS in Computer Science, Math or related, CFA, CRD/CRIMS experience
12/18/2025
Location: Battery Park City Hybrid: 4 days in office Compensation: 200k - 240k + 20-30% Bonus PTO: Unlimited Benefits: Exceptional Overview Implement automation strategies to improve trading workflows (Equities, Futures, FX, Options) New Development 30% Enhancements 50% Maintenance 20% Backend 70% Frontend 30% Build customizations and interfaces to Portware Interface with Traders and Portfolio Managers; collaborate with Product Owner Hands-on implementation (building out solutions, SDLC pipelines, code reviews, test case design) Provide architectural input influence design aligning with future state Lead, mentor Tech Stack Java (50%) Java Swing (30% - for custom interfaces to EMS platform) SQL Server (10%) VB.net (10%) Portware EMS AWS, Snowflake Agile, Microservices TDD, Unit Testing (Pytest, UnitTest) GIT Co-pilot, Eclipse, VS Code, Jira, Confluence, Docker, Ideal experience: DevSecOps (ANT, Maven, Artifactory) Skills & Qualifications Trading workflow (Equities, Futures, Options, FX) Portware (or other EMS) 10+ years Fullstack Software Engineering 4+ years Architecture (microservices and other architectural concepts) Mastery of Java and Java frameworks Experience with Java Swing is a plus Cloud-native development expertise (ideally AWS) Skilled in troubleshooting and debugging performance issues Nice to haves: BS or MS in Computer Science, Math or related, CFA, CRD/CRIMS experience
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).
