Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint. Learn more by visiting Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience a plus Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
08/06/2026
Full time
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint. Learn more by visiting Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience a plus Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint. Learn more by visiting Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience a plus Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
08/06/2026
Full time
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint. Learn more by visiting Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience a plus Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint. Learn more by visiting Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience a plus Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
08/06/2026
Full time
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint. Learn more by visiting Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience a plus Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
PURE HomeRiver is looking for an Implementation Financial Data Manager Come join our team! PURE HomeRiver is seeking an Implementation Entity Data Manager who thrives on accuracy, organization, and solving complex data challenges. You are a highly analytical professional who enjoys working with large datasets, identifying inconsistencies, and ensuring every detail is correct. In this role, you'll oversee the entire entity data lifecycle throughout the implementation process, leading data validation, migration, system configuration, and third-party integrations to ensure seamless consolidations and successful project outcomes. You enjoy working independently to analyze information, resolve issues, and develop thoughtful solutions while collaborating with internal teams and external partners to keep projects on track. If you're motivated by solving complex problems, maintaining exceptional data accuracy, and delivering reliable results that drive successful implementations, PURE HomeRiver offers the opportunity to make a meaningful impact through your expertise, attention to detail, and commitment to quality. PURE HomeRiver offers a Comprehensive Total Rewards Package of Benefits containing: Medical, Dental and Vision Coverage 401(k) plan with a 4% Instantly Vested Match Generous Vacation and Sick time Life and Disability Plans Wellness Fitness Program Employee Assistance Program Pay Range: $61,000 - $81,000 Annually Pay Frequency: Biweekly Position Hours: 40 Hours/Week FLSA: Exempt ESSENTIAL DUTIES AND RESPONSIBILITIES: Identify, prioritize, and execute financial data cleanup tasks for a streamlined consolidation transition. Oversee the transfer of all entity data, including supplemental data, ensuring timely and accurate migration to meet consolidation deadlines. Proactively audit and analyze data to identify and resolve any errors, discrepancies, or inconsistencies. Drive the data validation process, ensuring accuracy and consistency across multiple systems. Act as the main point of contact for our third-party partners and programs to ensure proper integration and functionality throughout the consolidation process. Manage the setup of the target database to ensure all settings are correctly established before go-live. Partner with key stakeholders to evaluate non-standard policies and exercise independent judgment to drive integration and ensure alignment with consolidation goals. Provide support where needed to ensure the consolidation process runs smoothly and efficiently. Maintain consolidation-related spreadsheets, documents, and data, ensuring they are up to date and accessible for the team. Collaborate with the team to ensure all consolidation goals are met within the designated time frame, maintaining progress and addressing any roadblocks. WHAT YOU WILL NEED TO BE SUCCESSFUL: Strong communication skills At least two years of experience in Data Migration & Integration At least two years of experience in Data Management PURE HomeRiver is honored to be recognized by Forbes as one of America's Best Startup Employers in 2024 based on its reputation, employee satisfaction and growth. Equal Employment Opportunity: We respect diversity and accordingly are an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy), gender identity or including transgender status), sexual orientation, marital status, veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws. It is PURE HomeRiver and Subsidiaries' policy to recruit, employ, retain, promote, terminate and otherwise treat all employees and job applicants on the basis of merit, qualifications and competence. Therefore, it is a violation of PURE HomeRiver and Subsidiaries' policy to discriminate in the provision of employment opportunities, if that discriminatory treatment is, in whole or in part, based on actual or perceived protected characteristics. Compensation details: 0 Yearly Salary PI4442b4e5-
08/06/2026
Full time
PURE HomeRiver is looking for an Implementation Financial Data Manager Come join our team! PURE HomeRiver is seeking an Implementation Entity Data Manager who thrives on accuracy, organization, and solving complex data challenges. You are a highly analytical professional who enjoys working with large datasets, identifying inconsistencies, and ensuring every detail is correct. In this role, you'll oversee the entire entity data lifecycle throughout the implementation process, leading data validation, migration, system configuration, and third-party integrations to ensure seamless consolidations and successful project outcomes. You enjoy working independently to analyze information, resolve issues, and develop thoughtful solutions while collaborating with internal teams and external partners to keep projects on track. If you're motivated by solving complex problems, maintaining exceptional data accuracy, and delivering reliable results that drive successful implementations, PURE HomeRiver offers the opportunity to make a meaningful impact through your expertise, attention to detail, and commitment to quality. PURE HomeRiver offers a Comprehensive Total Rewards Package of Benefits containing: Medical, Dental and Vision Coverage 401(k) plan with a 4% Instantly Vested Match Generous Vacation and Sick time Life and Disability Plans Wellness Fitness Program Employee Assistance Program Pay Range: $61,000 - $81,000 Annually Pay Frequency: Biweekly Position Hours: 40 Hours/Week FLSA: Exempt ESSENTIAL DUTIES AND RESPONSIBILITIES: Identify, prioritize, and execute financial data cleanup tasks for a streamlined consolidation transition. Oversee the transfer of all entity data, including supplemental data, ensuring timely and accurate migration to meet consolidation deadlines. Proactively audit and analyze data to identify and resolve any errors, discrepancies, or inconsistencies. Drive the data validation process, ensuring accuracy and consistency across multiple systems. Act as the main point of contact for our third-party partners and programs to ensure proper integration and functionality throughout the consolidation process. Manage the setup of the target database to ensure all settings are correctly established before go-live. Partner with key stakeholders to evaluate non-standard policies and exercise independent judgment to drive integration and ensure alignment with consolidation goals. Provide support where needed to ensure the consolidation process runs smoothly and efficiently. Maintain consolidation-related spreadsheets, documents, and data, ensuring they are up to date and accessible for the team. Collaborate with the team to ensure all consolidation goals are met within the designated time frame, maintaining progress and addressing any roadblocks. WHAT YOU WILL NEED TO BE SUCCESSFUL: Strong communication skills At least two years of experience in Data Migration & Integration At least two years of experience in Data Management PURE HomeRiver is honored to be recognized by Forbes as one of America's Best Startup Employers in 2024 based on its reputation, employee satisfaction and growth. Equal Employment Opportunity: We respect diversity and accordingly are an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy), gender identity or including transgender status), sexual orientation, marital status, veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws. It is PURE HomeRiver and Subsidiaries' policy to recruit, employ, retain, promote, terminate and otherwise treat all employees and job applicants on the basis of merit, qualifications and competence. Therefore, it is a violation of PURE HomeRiver and Subsidiaries' policy to discriminate in the provision of employment opportunities, if that discriminatory treatment is, in whole or in part, based on actual or perceived protected characteristics. Compensation details: 0 Yearly Salary PI4442b4e5-
At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job Summary Creating measurable business impact through data, analytics and AI while accelerating innovation and enabling smarter decisions at global scale is at the heart of Data Insights, a newly established department within GloBuS. As one of its new capabilities, Financial Analytics will play an essential role in shaping the future of GloBuS through advanced analytics products and AI-enabled solutions. This is an opportunity to join at the beginning, help shape a new capability and make a lasting impact. The Financial Analytics Data Scientist is a key enabler of robust data-driven decisions that lead to better financial outcomes for the business. The role develops advanced analytics and AI solutions to solve complex financial problems and generate actionable insights. Acting at the intersection of analytics, data and decision-making, the role supports the development and evaluation of analytical approaches and contributes to the delivery of scalable Financial Analytics products. Across Finance the role contributes to advancing analytical capabilities, supports innovation and promotes effective use of data and AI. Job Description Responsibilities This role collaborates closely with Financial Analytics Product Managers, Data Engineers, and further functions to translate business challenges into analytical approaches and measurable outcomes. The role contributes across the analytical lifecycle by supporting data exploration, hypothesis development, model development, evaluation and interpretation of analytical results. To be successful in this role, it requires strong analytical thinking, curiosity and the ability to translate complex data into meaningful insights while balancing methodological rigor and business applicability. The role focuses on the following key responsibility areas: Translate business challenges into analytical questions, measurable outcomes and suitable analytical approaches Perform exploratory data analysis, assess data suitability and develop hypotheses to guide analytical work Select, develop, test and validate advanced analytics and AI models using appropriate statistical and machine learning techniques Interpret analytical outputs, communicate assumptions and limitations transparently, and translate findings into actionable recommendations Enable scalable analytics delivery by collaborating with Product Managers and Data Engineers, promoting reuse of analytical methods, and ensuring analytical quality, explainability and compliance with governance standards Responsibilities Continued Qualifications Education Qualifications Bachelor's Degree required Master's Degree data science, statistics, mathematics, computer science, economics, finance or a related field preferred Experience Qualifications 5+ years data science, advanced analytics, machine learning or AI, preferably in the finance domain required Experience in applying statistical and analytical methods to solve business problems required Experience in developing and evaluating analytical models and generating actionable insights required Proven ability to work in cross-functional delivery environments and collaborate across technical teams required Understanding of model lifecycle concepts and analytical delivery approaches preferred Experience in industries such as pharmaceuticals and chemicals preferred Travel Requirements of the time. Limited Additional Information Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: USD$127,280.00 - USD$190,920.00 Download Our Benefits Summary PDF
08/06/2026
Full time
At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job Summary Creating measurable business impact through data, analytics and AI while accelerating innovation and enabling smarter decisions at global scale is at the heart of Data Insights, a newly established department within GloBuS. As one of its new capabilities, Financial Analytics will play an essential role in shaping the future of GloBuS through advanced analytics products and AI-enabled solutions. This is an opportunity to join at the beginning, help shape a new capability and make a lasting impact. The Financial Analytics Data Scientist is a key enabler of robust data-driven decisions that lead to better financial outcomes for the business. The role develops advanced analytics and AI solutions to solve complex financial problems and generate actionable insights. Acting at the intersection of analytics, data and decision-making, the role supports the development and evaluation of analytical approaches and contributes to the delivery of scalable Financial Analytics products. Across Finance the role contributes to advancing analytical capabilities, supports innovation and promotes effective use of data and AI. Job Description Responsibilities This role collaborates closely with Financial Analytics Product Managers, Data Engineers, and further functions to translate business challenges into analytical approaches and measurable outcomes. The role contributes across the analytical lifecycle by supporting data exploration, hypothesis development, model development, evaluation and interpretation of analytical results. To be successful in this role, it requires strong analytical thinking, curiosity and the ability to translate complex data into meaningful insights while balancing methodological rigor and business applicability. The role focuses on the following key responsibility areas: Translate business challenges into analytical questions, measurable outcomes and suitable analytical approaches Perform exploratory data analysis, assess data suitability and develop hypotheses to guide analytical work Select, develop, test and validate advanced analytics and AI models using appropriate statistical and machine learning techniques Interpret analytical outputs, communicate assumptions and limitations transparently, and translate findings into actionable recommendations Enable scalable analytics delivery by collaborating with Product Managers and Data Engineers, promoting reuse of analytical methods, and ensuring analytical quality, explainability and compliance with governance standards Responsibilities Continued Qualifications Education Qualifications Bachelor's Degree required Master's Degree data science, statistics, mathematics, computer science, economics, finance or a related field preferred Experience Qualifications 5+ years data science, advanced analytics, machine learning or AI, preferably in the finance domain required Experience in applying statistical and analytical methods to solve business problems required Experience in developing and evaluating analytical models and generating actionable insights required Proven ability to work in cross-functional delivery environments and collaborate across technical teams required Understanding of model lifecycle concepts and analytical delivery approaches preferred Experience in industries such as pharmaceuticals and chemicals preferred Travel Requirements of the time. Limited Additional Information Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: USD$127,280.00 - USD$190,920.00 Download Our Benefits Summary PDF
At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job Summary This role collaborates closely with Financial Analytics Product Managers, Data Scientists, and further functions to translate analytical and product requirements into scalable data and analytics products. The role contributes to the development, operation and continuous improvement of data products and analytical capabilities by supporting data integration, transformation, operationalization and delivery activities. To be successful in this role, it requires strong technical problem-solving capabilities, engineering discipline and the ability to develop scalable solutions while balancing performance, maintainability and usability. The role focuses on the following key responsibility areas: - Design, develop and maintain scalable data pipelines, transformation logic, reusable datasets and data products for Financial Analytics use cases - Translate analytical and product requirements into scalable technical implementations and enable operationalization of analytical assets in productive environments - Apply data validation, monitoring and quality controls to ensure reliable, trusted and maintainable data foundations - Collaborate with Financial Analytics Product Managers, Data Scientists, Global DX and technical teams to align solutions with enterprise architecture, engineering standards and delivery requirements - Enable innovation and continuous improvement by evaluating modern data engineering approaches, improving scalability and maintainability, and ensuring compliance with data governance and security standards Job Description Responsibilities This role collaborates closely with Financial Analytics Product Managers, Data Scientists, and further functions to translate analytical and product requirements into scalable data and analytics products. The role contributes to the development, operation and continuous improvement of data products and analytical capabilities by supporting data integration, transformation, operationalization and delivery activities. To be successful in this role, it requires strong technical problem-solving capabilities, engineering discipline and the ability to develop scalable solutions while balancing performance, maintainability and usability. The role focuses on the following key responsibility areas: Design, develop and maintain scalable data pipelines, transformation logic, reusable datasets and data products for Financial Analytics use cases Translate analytical and product requirements into scalable technical implementations and enable operationalization of analytical assets in productive environments Apply data validation, monitoring and quality controls to ensure reliable, trusted and maintainable data foundations Collaborate with Financial Analytics Product Managers, Data Scientists, Global DX and technical teams to align solutions with enterprise architecture, engineering standards and delivery requirements Enable innovation and continuous improvement by evaluating modern data engineering approaches, improving scalability and maintainability, and ensuring compliance with data governance and security standards Responsibilities Continued Qualifications Education Qualifications Bachelor's Degree required Master's Degree Data engineering, computer science, software engineering, information systems, data science, mathematics, finance or a related field preferred Experience Qualifications 5+ year data engineering, analytics engineering, software engineering, data management or related fields, preferably supporting analytics or AI use cases in the finance domain required Experience building and maintaining scalable data pipelines and analytical data solutions required Experience with structured and semi-structured data environments and data transformation concepts required Proven ability to work in cross-functional delivery environments and collaborate across various technical teams required Understanding of cloud-based data platforms, data architectures and modern engineering practice preferred Experience in industries such as pharmaceuticals and chemicals preferred Travel Requirements of the time. Limited Additional Information Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: USD$127,280.00 - USD$190,920.00 Download Our Benefits Summary PDF
08/06/2026
Full time
At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job Summary This role collaborates closely with Financial Analytics Product Managers, Data Scientists, and further functions to translate analytical and product requirements into scalable data and analytics products. The role contributes to the development, operation and continuous improvement of data products and analytical capabilities by supporting data integration, transformation, operationalization and delivery activities. To be successful in this role, it requires strong technical problem-solving capabilities, engineering discipline and the ability to develop scalable solutions while balancing performance, maintainability and usability. The role focuses on the following key responsibility areas: - Design, develop and maintain scalable data pipelines, transformation logic, reusable datasets and data products for Financial Analytics use cases - Translate analytical and product requirements into scalable technical implementations and enable operationalization of analytical assets in productive environments - Apply data validation, monitoring and quality controls to ensure reliable, trusted and maintainable data foundations - Collaborate with Financial Analytics Product Managers, Data Scientists, Global DX and technical teams to align solutions with enterprise architecture, engineering standards and delivery requirements - Enable innovation and continuous improvement by evaluating modern data engineering approaches, improving scalability and maintainability, and ensuring compliance with data governance and security standards Job Description Responsibilities This role collaborates closely with Financial Analytics Product Managers, Data Scientists, and further functions to translate analytical and product requirements into scalable data and analytics products. The role contributes to the development, operation and continuous improvement of data products and analytical capabilities by supporting data integration, transformation, operationalization and delivery activities. To be successful in this role, it requires strong technical problem-solving capabilities, engineering discipline and the ability to develop scalable solutions while balancing performance, maintainability and usability. The role focuses on the following key responsibility areas: Design, develop and maintain scalable data pipelines, transformation logic, reusable datasets and data products for Financial Analytics use cases Translate analytical and product requirements into scalable technical implementations and enable operationalization of analytical assets in productive environments Apply data validation, monitoring and quality controls to ensure reliable, trusted and maintainable data foundations Collaborate with Financial Analytics Product Managers, Data Scientists, Global DX and technical teams to align solutions with enterprise architecture, engineering standards and delivery requirements Enable innovation and continuous improvement by evaluating modern data engineering approaches, improving scalability and maintainability, and ensuring compliance with data governance and security standards Responsibilities Continued Qualifications Education Qualifications Bachelor's Degree required Master's Degree Data engineering, computer science, software engineering, information systems, data science, mathematics, finance or a related field preferred Experience Qualifications 5+ year data engineering, analytics engineering, software engineering, data management or related fields, preferably supporting analytics or AI use cases in the finance domain required Experience building and maintaining scalable data pipelines and analytical data solutions required Experience with structured and semi-structured data environments and data transformation concepts required Proven ability to work in cross-functional delivery environments and collaborate across various technical teams required Understanding of cloud-based data platforms, data architectures and modern engineering practice preferred Experience in industries such as pharmaceuticals and chemicals preferred Travel Requirements of the time. Limited Additional Information Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: USD$127,280.00 - USD$190,920.00 Download Our Benefits Summary PDF
Sr Manager, Strategic Sourcing We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. A Career that Empowers You to Build Your Future The IT Senior Strategic Sourcing Manager reports to the Head of IT Strategic Sourcing and Vendor Management Office ("SVMO"). The IT Senior Strategic Sourcing Manager must have expertise in sourcing and contract negotiations for the Information Technology categories of Application Development, Ecommerce, Enterprise Software, Technical Consulting, Networking Hardware, Data Center Hardware, PCs/Tablets/Peripherals, Hosting Services, Mobile Service Providers, Telecommunications, etc., including but not limited to determining user requirements, recommendations of practical solutions, and company-wide efforts to improve the cost effective use of technology. The IT Senior Strategic Sourcing Manager will manage category sourcing initiatives involving contract development, negotiations, and supplier management. The primary focus will be to drive sourcing and contracting strategies for strategic vendor partnerships. The IT Senior Strategic Sourcing Manager will analyze historical spend and extract potential sourcing opportunities for the business. The IT Senior Strategic Sourcing Manager will develop working relationships with key stakeholders, including executives, and lead cross-functional teams to define the business requirements in developing the sourcing strategy and negotiate complex service level agreements. The ideal candidate is known as a category subject matter expert, a thought leader and has professional credibility within the IT portfolio. This is a hybrid role, and work can be performed in Arkansas, Dallas or Miami. Your Responsibilities on the Team Reviews documentation and legal drafts of contracts/agreements, ensuring contractual/agreement requirements are met, and works directly with Strategic Sourcing Managers and key stakeholders to ensure contract/agreement language and requirements are appropriate and comply with Lennar Corporation policies and procedures. Coordinates work with various departments and serves as a liaison between Lennar Corporation and vendors to oversee the intake, review and finalization of all IT and HR contracts that bind the corporation. Innovative thought leader with demonstrated good business acumen and can quickly understand complex business programs related to Information Technologies. Lead, mentor, and coach managers and specialists. Promote career development and manage the performance of the team. Review, draft, redline, and negotiate a variety of technology-related agreements, including SOW's, POC's, order forms, amendments, etc. while maintaining coordination with internal and external stakeholders. Supplier relationship management, engagement, and continuous improvement of supplier performance. Responsible for creating and facilitating the issuance and evaluation of RFP's, RFI's, etc. Ability to prepare and/or diagnose/interpret financial and other relevant analysis related to the product being sourced. Negotiate and prepare contracts with appropriate terms and conditions. Resolve conflicts or service level issues regarding supplier performance. Excellent understanding of IT protocols and guidelines; ensure that IT minimum standards are applied and properly documented. Effectively communicates program needs status with internal team members and external stakeholders, ability to build stakeholder trust and influence change. Proficient understanding of procurement systems and functionality and procure-to-pay processes. Effectively deal with conflict inherent in procurement and sourcing operations between suppliers and stakeholders. Your Toolbox 7+ years of IT Purchasing experience 7+ years of IT Sourcing experience Must have experience working with large technology partners such as AT&T, CDW, Cisco, IBM, Insight, Oracle, Microsoft, Salesforce, Verizon and VMWare. Juris doctorate required. ITIL experience preferred Excellent customer service skills. Excellent attention to detail and follow-up skills. Ability to work in challenging and ambiguous environments. Ability to communicate effectively with executives, clients, and team members regularly. Ability to work across functional areas to drive continuous improvement. Advanced experience with MS Office. Experience in a team-oriented environment is essential. Connects the dots between strategy and contracting. Can conform to shifting priorities, demands and timelines through analytical and problem-solving capabilities. Flexible during times of change. Ability to read communication styles of team members and contractors who come from a broad spectrum of disciplines. Ability to elicit cooperation from many sources, including executives, clients, and other departments. Ability to defuse tension among project team, should it arise. Strong written and oral communication skills. Strong interpersonal and operational skill sets. Must be able to learn, understand, and apply new technologies. Strong Customer service skills and focus required. Ability to effectively prioritize and execute tasks in a high-pressure environment is crucial. Tenacious, driven, energetic and has a high degree of professional integrity. Follow directions from a supervisor. Interact well with co-workers, supervisors and management. Understand and follow posted work rules and procedures. Accept constructive criticism. Maintain Professional appearance and demeanor at all times Physical & Office/Site Presence Requirements: This is mainly a sedentary office position which requires the incumbent to operate computer equipment, speak, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
08/06/2026
Full time
Sr Manager, Strategic Sourcing We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. A Career that Empowers You to Build Your Future The IT Senior Strategic Sourcing Manager reports to the Head of IT Strategic Sourcing and Vendor Management Office ("SVMO"). The IT Senior Strategic Sourcing Manager must have expertise in sourcing and contract negotiations for the Information Technology categories of Application Development, Ecommerce, Enterprise Software, Technical Consulting, Networking Hardware, Data Center Hardware, PCs/Tablets/Peripherals, Hosting Services, Mobile Service Providers, Telecommunications, etc., including but not limited to determining user requirements, recommendations of practical solutions, and company-wide efforts to improve the cost effective use of technology. The IT Senior Strategic Sourcing Manager will manage category sourcing initiatives involving contract development, negotiations, and supplier management. The primary focus will be to drive sourcing and contracting strategies for strategic vendor partnerships. The IT Senior Strategic Sourcing Manager will analyze historical spend and extract potential sourcing opportunities for the business. The IT Senior Strategic Sourcing Manager will develop working relationships with key stakeholders, including executives, and lead cross-functional teams to define the business requirements in developing the sourcing strategy and negotiate complex service level agreements. The ideal candidate is known as a category subject matter expert, a thought leader and has professional credibility within the IT portfolio. This is a hybrid role, and work can be performed in Arkansas, Dallas or Miami. Your Responsibilities on the Team Reviews documentation and legal drafts of contracts/agreements, ensuring contractual/agreement requirements are met, and works directly with Strategic Sourcing Managers and key stakeholders to ensure contract/agreement language and requirements are appropriate and comply with Lennar Corporation policies and procedures. Coordinates work with various departments and serves as a liaison between Lennar Corporation and vendors to oversee the intake, review and finalization of all IT and HR contracts that bind the corporation. Innovative thought leader with demonstrated good business acumen and can quickly understand complex business programs related to Information Technologies. Lead, mentor, and coach managers and specialists. Promote career development and manage the performance of the team. Review, draft, redline, and negotiate a variety of technology-related agreements, including SOW's, POC's, order forms, amendments, etc. while maintaining coordination with internal and external stakeholders. Supplier relationship management, engagement, and continuous improvement of supplier performance. Responsible for creating and facilitating the issuance and evaluation of RFP's, RFI's, etc. Ability to prepare and/or diagnose/interpret financial and other relevant analysis related to the product being sourced. Negotiate and prepare contracts with appropriate terms and conditions. Resolve conflicts or service level issues regarding supplier performance. Excellent understanding of IT protocols and guidelines; ensure that IT minimum standards are applied and properly documented. Effectively communicates program needs status with internal team members and external stakeholders, ability to build stakeholder trust and influence change. Proficient understanding of procurement systems and functionality and procure-to-pay processes. Effectively deal with conflict inherent in procurement and sourcing operations between suppliers and stakeholders. Your Toolbox 7+ years of IT Purchasing experience 7+ years of IT Sourcing experience Must have experience working with large technology partners such as AT&T, CDW, Cisco, IBM, Insight, Oracle, Microsoft, Salesforce, Verizon and VMWare. Juris doctorate required. ITIL experience preferred Excellent customer service skills. Excellent attention to detail and follow-up skills. Ability to work in challenging and ambiguous environments. Ability to communicate effectively with executives, clients, and team members regularly. Ability to work across functional areas to drive continuous improvement. Advanced experience with MS Office. Experience in a team-oriented environment is essential. Connects the dots between strategy and contracting. Can conform to shifting priorities, demands and timelines through analytical and problem-solving capabilities. Flexible during times of change. Ability to read communication styles of team members and contractors who come from a broad spectrum of disciplines. Ability to elicit cooperation from many sources, including executives, clients, and other departments. Ability to defuse tension among project team, should it arise. Strong written and oral communication skills. Strong interpersonal and operational skill sets. Must be able to learn, understand, and apply new technologies. Strong Customer service skills and focus required. Ability to effectively prioritize and execute tasks in a high-pressure environment is crucial. Tenacious, driven, energetic and has a high degree of professional integrity. Follow directions from a supervisor. Interact well with co-workers, supervisors and management. Understand and follow posted work rules and procedures. Accept constructive criticism. Maintain Professional appearance and demeanor at all times Physical & Office/Site Presence Requirements: This is mainly a sedentary office position which requires the incumbent to operate computer equipment, speak, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
Ready to take on meaningful challenges and shape the next generation of mobility? Joining OPmobility means stepping into a global group with a purpose to keep people and goods moving safely, smarter, and sustainably everywhere. Title: Plant Automation Engineer Work Location: Anderson, SC Activities Dedication to safety Closely monitor quality levels and root causes; correct any maintenance related non-conformances Develop, Implement, and evaluate continuous improvement plans Coordinate all technical activity and maintain accurate records pertaining to the system PLC equipment Support and train the maintenance staff appropriately to ensure all system automation, PLC's and robots are maintained to the optimum operating level Participate fully in the OPmobility continuous improvement team activities as directed by the Maintenance manager to ensure CI goals are met Coordinate modifications and new projects automation, PLC and robotic equipment as required ensuring all work is in accordance with the local and state regulations Develop robust logic for optimum operational uptime and repeatability Continuously review and consider new technologies (PLC or otherwise) as they apply to OPmobility. Make recommendations to maintenance team as to their benefits along with feasibility and justification for such technologies Provide automation support as required as it applies to all other aspects of the current and any future systems. Provide regular progress reports on the timeline schedules for all projects Coordinate all training activity for the appropriate personnel regarding the design intent, operation, maintenance and programming of system automation, PLC equipment, robotic equipment and associates interfaces Assume a leadership role and provide support to the maintenance technicians and staff in the operation and maintenance of all system robotic equipment to the extent that all system uptime goals are met. Closely monitor equipment availability levels, perform root cause analysis, and resolve issues Create and drive actions to cross functional team members Perform other duties as directed Key Technical Competencies Field bus: Controlnet, Modbus, Profibus Integration to injection machines Must have strong PLC skills Automotive assembly, injection, and paint a plus Must have demonstrated project and continuous improvement experience Must have sound knowledge and understanding of the electrical code. Qualifications Engineering degree required (industrial preferred) Good capacity in spoken and written English Good knowledge of manufacturing processes, capital equipment installation, and integration into the plant Communication capability skills towards all management levels Safety minded Team player, self-determined in approach to tasks, systematic and disciplined approach to activities Previous Experience Experience with project launches (involving equipment commissioning and trouble shooting in industrial environment) Maintenance experience in industrial environment Experience in digitalization and transformation to 4.0 industry. At OPmobility, people truly matter. We are committed to building inclusive teams, promoting diversity and equality, and ensuring that every application is considered fairly - because the future of mobility is built by diverse perspectives, bold ideas, and people who dare to move forward. Innovation is therefore not a buzzword, but a natural part of everyday work. You'll grow in an international environment where cutting-edge technologies, industrial excellence, and real-world impact come together to tackle the challenges of tomorrow's automotive industry. Founded in 1946 by Pierre Burelle, OPmobility, known until 2024 as Plastic Omnium, has transformed itself into a player in sustainable and connected mobility. Today, OPmobility develops technological solutions across four areas of expertise: exterior and lighting systems, the integration of complex modules, technologies related to energy storage, hydrogen and electrification, and a division dedicated to the development of embedded software and digital solutions. With €11.5 billion in revenue in 2025, 152 factories, 40 R&D centers, and nearly 38,100 employees across 28 countries, OPmobility combines global scale with local impact. All driven by a shared ambition to accelerate the automotive energy transition.
08/06/2026
Full time
Ready to take on meaningful challenges and shape the next generation of mobility? Joining OPmobility means stepping into a global group with a purpose to keep people and goods moving safely, smarter, and sustainably everywhere. Title: Plant Automation Engineer Work Location: Anderson, SC Activities Dedication to safety Closely monitor quality levels and root causes; correct any maintenance related non-conformances Develop, Implement, and evaluate continuous improvement plans Coordinate all technical activity and maintain accurate records pertaining to the system PLC equipment Support and train the maintenance staff appropriately to ensure all system automation, PLC's and robots are maintained to the optimum operating level Participate fully in the OPmobility continuous improvement team activities as directed by the Maintenance manager to ensure CI goals are met Coordinate modifications and new projects automation, PLC and robotic equipment as required ensuring all work is in accordance with the local and state regulations Develop robust logic for optimum operational uptime and repeatability Continuously review and consider new technologies (PLC or otherwise) as they apply to OPmobility. Make recommendations to maintenance team as to their benefits along with feasibility and justification for such technologies Provide automation support as required as it applies to all other aspects of the current and any future systems. Provide regular progress reports on the timeline schedules for all projects Coordinate all training activity for the appropriate personnel regarding the design intent, operation, maintenance and programming of system automation, PLC equipment, robotic equipment and associates interfaces Assume a leadership role and provide support to the maintenance technicians and staff in the operation and maintenance of all system robotic equipment to the extent that all system uptime goals are met. Closely monitor equipment availability levels, perform root cause analysis, and resolve issues Create and drive actions to cross functional team members Perform other duties as directed Key Technical Competencies Field bus: Controlnet, Modbus, Profibus Integration to injection machines Must have strong PLC skills Automotive assembly, injection, and paint a plus Must have demonstrated project and continuous improvement experience Must have sound knowledge and understanding of the electrical code. Qualifications Engineering degree required (industrial preferred) Good capacity in spoken and written English Good knowledge of manufacturing processes, capital equipment installation, and integration into the plant Communication capability skills towards all management levels Safety minded Team player, self-determined in approach to tasks, systematic and disciplined approach to activities Previous Experience Experience with project launches (involving equipment commissioning and trouble shooting in industrial environment) Maintenance experience in industrial environment Experience in digitalization and transformation to 4.0 industry. At OPmobility, people truly matter. We are committed to building inclusive teams, promoting diversity and equality, and ensuring that every application is considered fairly - because the future of mobility is built by diverse perspectives, bold ideas, and people who dare to move forward. Innovation is therefore not a buzzword, but a natural part of everyday work. You'll grow in an international environment where cutting-edge technologies, industrial excellence, and real-world impact come together to tackle the challenges of tomorrow's automotive industry. Founded in 1946 by Pierre Burelle, OPmobility, known until 2024 as Plastic Omnium, has transformed itself into a player in sustainable and connected mobility. Today, OPmobility develops technological solutions across four areas of expertise: exterior and lighting systems, the integration of complex modules, technologies related to energy storage, hydrogen and electrification, and a division dedicated to the development of embedded software and digital solutions. With €11.5 billion in revenue in 2025, 152 factories, 40 R&D centers, and nearly 38,100 employees across 28 countries, OPmobility combines global scale with local impact. All driven by a shared ambition to accelerate the automotive energy transition.
Pinnacle Technical Resources
Charlotte, North Carolina
Job Description: This role is responsible for managing multiple strategic initiatives, including quarterly release management for Client One Expense Manager (WOEM) across both Client and Visa platforms. Responsibilities include overseeing browser/desktop and mobile application releases, maintaining comprehensive project plans, serving as the subject matter expert (SME) for quarterly releases, and leading release management discussions with Product and Technology partners at both Client and Visa. In addition, this role provides project management leadership for the Digital Wallet and Virtual Card Program (VCP) initiatives. The ideal candidate is a highly organized project and release management professional with strong Commercial Card industry experience. This candidate will lead multiple strategic initiatives, coordinate cross-functional teams, oversee technology and product releases, manage risks and dependencies, and serve as a trusted partner between Product, Technology, Operations, and external partners such as Visa and MasterCard. Strong communication, stakeholder management, and execution skills are essential for success in this role. Product Discovery (Intake, Customer Insight): Support intake and prioritization processes, establishing transparent and consistent methods for evaluating and onboarding new work into the product backlog. Product Delivery (Planning, Prioritization, Delivery, Release): Ensure all defined JIRA standardization, requirement templates, and JIRA fields and labeling are implemented and followed within the teams for consistency. Create and manage a release plan Coordinate cross-functional activities, and cross-product areas, that advance the work owned by the Product Area, helping teams stay focused on delivering committed outcomes. Facilitates scrum of scrum with product, scrum and DDI leads to gather execution updates, blockers and dependencies. Track and manage intra and inter-product area dependencies, track and manage impediments to features/stories, coordinate testing approaches, and ensure necessary conversations between engineers across different teams are occurring, Manage all internal communication and or common groups (AD Groups, Distribution Lists, etc), ensure adherence to JIRA hygiene standards Fully understands outlined structure for Planning & Prioritization, prepares product teams for key activities and facilitates required forums with the right teams and stakeholders. Act as the ECM and GPL Policy/Procedure SME while ensuring team compliance Product Reflect: Contributes to status reports and product roadmap updates for larger leadership and product and delivery forums (BUR, etc) Support team sustainability and maturity, fostering trusted relationships across product area roles and helping teams evolve toward high performance and autonomy. Drive agile best practices and coordinates with other delivery coordinators to scale these practices across product areas. Identify gaps in agile practices and create effective training programs for iterative education and refreshers within teams Work with scrum masters to prepare accurate and detailed agile metrics and report discrepancies to delivery, tech and product leaders. Required Skills: Commercial Card Program Knowledge Understanding of commercial credit card products, virtual cards, expense management solutions, and payment ecosystems. Familiarity with issuer, network (Visa/Mastercard), and client-facing processes. Project and Program Management Ability to manage multiple concurrent initiatives and dependencies. Experience creating and maintaining detailed project plans, milestones, risks, and issue logs. Proven ability to drive projects from initiation through implementation. Release Management Experience coordinating technology and product releases. Ability to oversee quarterly or recurring release cycles, testing activities, readiness reviews, and stakeholder communications. Stakeholder Management Strong ability to influence and collaborate across product, technology, operations, risk, compliance, and vendor partners. Experience leading meetings, facilitating decision-making, and driving accountability. Business Analysis and Requirements Management Experience documenting business requirements, user stories, process flows, and operational impacts. Ability to translate business needs into technical requirements. Communication Skills Excellent verbal, written, and presentation skills. Ability to communicate complex product and technical concepts to diverse audiences. Risk and Issue Management Ability to identify, assess, and mitigate project risks. Experience managing escalations and driving timely resolution of issues. Analytical and Problem-Solving Skills Strong attention to detail and ability to analyze operational, product, and technology impacts. Data-driven decision-making capabilities. Preferred / Bonus Skills: Experience with Commercial Cards, Virtual Card Programs, Digital Wallets, or Expense Management platforms (e.g., Wells One Expense Manager). Familiarity with Visa commercial payment products and release processes. Experience working within a large financial institution and navigating governance requirements. Knowledge of Agile delivery methodologies, Jira, Azure DevOps, or similar project tracking tools. Experience supporting product implementations, client onboarding, or product launches. Top Three Critical Skills for Success: Project/Release Management Ability to successfully coordinate cross-functional initiatives, manage timelines, and execute quarterly releases. Commercial Card and Payments Expertise Ability to understand product features, customer impacts, and industry trends. Stakeholder Leadership and Communication Ability to influence partners across Product, Technology, Operations, and external vendors while driving decisions and execution. Primary Skills: Project/Release Management - Ability to successfully coordinate cross-functional initiatives, manage timelines, and execute quarterly releases. Commercial Card & Payments Expertise - Ability to understand product features, customer impacts, and industry trends. Stakeholder Leadership & Communication - Ability to influence partners across Product, Technology, Operations, and external vendors while driving decisions and execution. In this contingent resource assignment, candidates may: Consult on complex initiatives with broad impact and large-scale planning for Business Execution. Review and analyze complex multi-faceted, larger scale, or longer-term Business Execution challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: 5 plus years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education. Note: Location: USA-NC-CHARLOTTE-1525 W W T Harris Blvd-141278 (Only location available) Pay Range: $60.00- $65.00/hr on W2 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
08/06/2026
Full time
Job Description: This role is responsible for managing multiple strategic initiatives, including quarterly release management for Client One Expense Manager (WOEM) across both Client and Visa platforms. Responsibilities include overseeing browser/desktop and mobile application releases, maintaining comprehensive project plans, serving as the subject matter expert (SME) for quarterly releases, and leading release management discussions with Product and Technology partners at both Client and Visa. In addition, this role provides project management leadership for the Digital Wallet and Virtual Card Program (VCP) initiatives. The ideal candidate is a highly organized project and release management professional with strong Commercial Card industry experience. This candidate will lead multiple strategic initiatives, coordinate cross-functional teams, oversee technology and product releases, manage risks and dependencies, and serve as a trusted partner between Product, Technology, Operations, and external partners such as Visa and MasterCard. Strong communication, stakeholder management, and execution skills are essential for success in this role. Product Discovery (Intake, Customer Insight): Support intake and prioritization processes, establishing transparent and consistent methods for evaluating and onboarding new work into the product backlog. Product Delivery (Planning, Prioritization, Delivery, Release): Ensure all defined JIRA standardization, requirement templates, and JIRA fields and labeling are implemented and followed within the teams for consistency. Create and manage a release plan Coordinate cross-functional activities, and cross-product areas, that advance the work owned by the Product Area, helping teams stay focused on delivering committed outcomes. Facilitates scrum of scrum with product, scrum and DDI leads to gather execution updates, blockers and dependencies. Track and manage intra and inter-product area dependencies, track and manage impediments to features/stories, coordinate testing approaches, and ensure necessary conversations between engineers across different teams are occurring, Manage all internal communication and or common groups (AD Groups, Distribution Lists, etc), ensure adherence to JIRA hygiene standards Fully understands outlined structure for Planning & Prioritization, prepares product teams for key activities and facilitates required forums with the right teams and stakeholders. Act as the ECM and GPL Policy/Procedure SME while ensuring team compliance Product Reflect: Contributes to status reports and product roadmap updates for larger leadership and product and delivery forums (BUR, etc) Support team sustainability and maturity, fostering trusted relationships across product area roles and helping teams evolve toward high performance and autonomy. Drive agile best practices and coordinates with other delivery coordinators to scale these practices across product areas. Identify gaps in agile practices and create effective training programs for iterative education and refreshers within teams Work with scrum masters to prepare accurate and detailed agile metrics and report discrepancies to delivery, tech and product leaders. Required Skills: Commercial Card Program Knowledge Understanding of commercial credit card products, virtual cards, expense management solutions, and payment ecosystems. Familiarity with issuer, network (Visa/Mastercard), and client-facing processes. Project and Program Management Ability to manage multiple concurrent initiatives and dependencies. Experience creating and maintaining detailed project plans, milestones, risks, and issue logs. Proven ability to drive projects from initiation through implementation. Release Management Experience coordinating technology and product releases. Ability to oversee quarterly or recurring release cycles, testing activities, readiness reviews, and stakeholder communications. Stakeholder Management Strong ability to influence and collaborate across product, technology, operations, risk, compliance, and vendor partners. Experience leading meetings, facilitating decision-making, and driving accountability. Business Analysis and Requirements Management Experience documenting business requirements, user stories, process flows, and operational impacts. Ability to translate business needs into technical requirements. Communication Skills Excellent verbal, written, and presentation skills. Ability to communicate complex product and technical concepts to diverse audiences. Risk and Issue Management Ability to identify, assess, and mitigate project risks. Experience managing escalations and driving timely resolution of issues. Analytical and Problem-Solving Skills Strong attention to detail and ability to analyze operational, product, and technology impacts. Data-driven decision-making capabilities. Preferred / Bonus Skills: Experience with Commercial Cards, Virtual Card Programs, Digital Wallets, or Expense Management platforms (e.g., Wells One Expense Manager). Familiarity with Visa commercial payment products and release processes. Experience working within a large financial institution and navigating governance requirements. Knowledge of Agile delivery methodologies, Jira, Azure DevOps, or similar project tracking tools. Experience supporting product implementations, client onboarding, or product launches. Top Three Critical Skills for Success: Project/Release Management Ability to successfully coordinate cross-functional initiatives, manage timelines, and execute quarterly releases. Commercial Card and Payments Expertise Ability to understand product features, customer impacts, and industry trends. Stakeholder Leadership and Communication Ability to influence partners across Product, Technology, Operations, and external vendors while driving decisions and execution. Primary Skills: Project/Release Management - Ability to successfully coordinate cross-functional initiatives, manage timelines, and execute quarterly releases. Commercial Card & Payments Expertise - Ability to understand product features, customer impacts, and industry trends. Stakeholder Leadership & Communication - Ability to influence partners across Product, Technology, Operations, and external vendors while driving decisions and execution. In this contingent resource assignment, candidates may: Consult on complex initiatives with broad impact and large-scale planning for Business Execution. Review and analyze complex multi-faceted, larger scale, or longer-term Business Execution challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: 5 plus years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education. Note: Location: USA-NC-CHARLOTTE-1525 W W T Harris Blvd-141278 (Only location available) Pay Range: $60.00- $65.00/hr on W2 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
Position: Scrum Lead / Agile Coach Location: Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178607 Job Overview: We are seeking an experienced Scrum Lead / Agile Coach to help cross-functional teams improve the flow of value from idea generation through delivery. This role will coach teams, Product Owners, and stakeholders on Agile principles, Professional Scrum practices, and continuous improvement. The successful candidate will remove impediments, promote transparency, facilitate Agile events, and help teams become self-organizing, high-performing delivery teams. Responsibilities: Coach teams in Agile methodologies, Professional Scrum practices, and other frameworks that improve agility, delivery outcomes, and value creation. Optimize the flow of work from idea generation through release by identifying and reducing rework, waste, bottlenecks, and delivery impediments. Facilitate Scrum ceremonies and team events, including planning, daily stand-ups, reviews, retrospectives, and backlog refinement, as needed. Promote transparency through information radiators, progress reporting, and clear visibility into barriers, risks, and opportunities for improvement. Coach Product Owners and Product Managers on empirical product planning, backlog management, prioritization, and maintaining a healthy Product Backlog. Help teams adopt new ways of working, develop self-organization, and cultivate a culture of continuous learning, experimentation, and improvement. Serve as an internal Agile trainer and contribute to the learning and development of one or more teams. Partner with stakeholders across the organization to drive Agile adoption, resolve conflicts, and support continuous delivery practices. Qualifications: Bachelor's degree in Computer Science or a related discipline; an equivalent combination of education and relevant work experience may be considered. At least 6 years of relevant experience in an Agile environment. Hands-on experience coaching Agile methodologies, practices, and tools to delivery teams and stakeholders. Active Scrum Master certification, such as CSM, PSM, SSM, or another recognized Scrum certification. Experience working within or supporting a Scaled Agile Framework (SAFe) environment. Strong knowledge of servant leadership, situational awareness, conflict resolution, team empowerment, transparency, and continuous improvement. Proven ability to collaborate effectively with cross-functional teams and foster an inclusive, productive team environment. Nice to Have Skills and Experience: Experience driving Agile methodology, process, and tool adoption across a cross-functional organization. Experience with continuous integration and continuous delivery practices. Strong analytical, problem-solving, and communication skills. Interview Process: Two interview rounds: the first interview will be virtual, followed by an onsite interview. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $55 - $60/Hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
08/06/2026
Full time
Position: Scrum Lead / Agile Coach Location: Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178607 Job Overview: We are seeking an experienced Scrum Lead / Agile Coach to help cross-functional teams improve the flow of value from idea generation through delivery. This role will coach teams, Product Owners, and stakeholders on Agile principles, Professional Scrum practices, and continuous improvement. The successful candidate will remove impediments, promote transparency, facilitate Agile events, and help teams become self-organizing, high-performing delivery teams. Responsibilities: Coach teams in Agile methodologies, Professional Scrum practices, and other frameworks that improve agility, delivery outcomes, and value creation. Optimize the flow of work from idea generation through release by identifying and reducing rework, waste, bottlenecks, and delivery impediments. Facilitate Scrum ceremonies and team events, including planning, daily stand-ups, reviews, retrospectives, and backlog refinement, as needed. Promote transparency through information radiators, progress reporting, and clear visibility into barriers, risks, and opportunities for improvement. Coach Product Owners and Product Managers on empirical product planning, backlog management, prioritization, and maintaining a healthy Product Backlog. Help teams adopt new ways of working, develop self-organization, and cultivate a culture of continuous learning, experimentation, and improvement. Serve as an internal Agile trainer and contribute to the learning and development of one or more teams. Partner with stakeholders across the organization to drive Agile adoption, resolve conflicts, and support continuous delivery practices. Qualifications: Bachelor's degree in Computer Science or a related discipline; an equivalent combination of education and relevant work experience may be considered. At least 6 years of relevant experience in an Agile environment. Hands-on experience coaching Agile methodologies, practices, and tools to delivery teams and stakeholders. Active Scrum Master certification, such as CSM, PSM, SSM, or another recognized Scrum certification. Experience working within or supporting a Scaled Agile Framework (SAFe) environment. Strong knowledge of servant leadership, situational awareness, conflict resolution, team empowerment, transparency, and continuous improvement. Proven ability to collaborate effectively with cross-functional teams and foster an inclusive, productive team environment. Nice to Have Skills and Experience: Experience driving Agile methodology, process, and tool adoption across a cross-functional organization. Experience with continuous integration and continuous delivery practices. Strong analytical, problem-solving, and communication skills. Interview Process: Two interview rounds: the first interview will be virtual, followed by an onsite interview. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $55 - $60/Hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
Disney Entertainment and ESPN Product & Technology
New York, New York
Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality engineering, and the engineering behind personalization, commerce, lifecycle, and identity. Job Summary: The DEEP & Technology team is seeking a highly experienced Senior Manager (M3) to lead and scale our Quality Engineering organization supporting various commerce, data and advertising systems. In this role, you will provide strategic, operational, and technical leadership across multiple quality engineering teams, ensuring robust test automation, reliability, and business impact at scale. You will develop and execute a quality strategy that drives measurable improvement in system reliability, speed of delivery, and product excellence, partnering closely with executives, engineering leadership, and cross-functional business units. Ideal candidates are visionary people leaders with a proven track record of growing high-performing teams, implementing transformational quality programs, and delivering significant value in complex and rapidly evolving environments. Responsibilities: Organizational Leadership & Transformation Lead, inspire, and develop multiple quality engineering teams and people leaders (managers/technical leads), fostering a culture of technical excellence, inclusion, and continuous learning. Define the multi-year vision and strategic roadmap for quality engineering across the advertising platform, aligned with company business and technology goals. Champion organizational transformation, driving the adoption of best-in-class practices, tools, and quality metrics at scale. Technical Thought Leadership Set the technical direction for large-scale test automation architecture, cloud-native solutions, and intelligent testing initiatives (AI/ML-driven testing, autonomous pipelines, etc.). Sponsor and guide the evolution of shared automation frameworks, tools, and platforms across product and engineering teams. Ensure timely resolution and prevention of high-severity outages through organizational postmortems, root cause analysis, and systemic improvements. Strategic Planning & Execution Develop, communicate, and execute the quality engineering strategy across multiple product groups, balancing innovation, risk, and operational needs. Oversee resource planning, hiring, and organizational design to ensure scaling and allocation of quality engineering talent to meet evolving business needs. Take ultimate responsibility for quality governance, compliance, and traceability across all product lines within your scope. Cross-Functional & Executive Partnership Build and maintain strong working relationships with senior leadership in engineering, product management, data science, product operations, and business teams. Articulate quality risks, trade-offs, and long-term strategies to executive stakeholders; provide regular reporting on quality metrics and organizational outcomes. Lead cross-functional initiatives to ensure test automation and quality engineering are embedded early and effectively throughout the development lifecycle. Minimum Qualifications: 10+ years of experience in software quality engineering, test automation, or software development, with 5+ years managing managers or leading multi-team organizations Proven track record of scaling and transforming quality engineering functions in complex, cloud-native, high-scale environments Demonstrated experience defining and driving organizational strategy, advocating for quality at the senior/executive level, and influencing business outcomes Expertise in modern test automation frameworks, CI/CD, and emerging trends in software quality Knowledge of software engineering practices and agile approaches Strong desire for establishing and improving product quality Advanced proficiency with Python or modern OO languages; experience with ad-tech or large-scale systems is a plus Willingness to take challenges head on while being part of a team Strong communication, stakeholder management, and mentoring skills Bachelor's degree, preferably in Computer Science or related field (or equivalent experience) The hiring range for this position in California is $171,600 - $230,100 per year and in New York is $179,700 - $241,000 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.
08/06/2026
Full time
Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality engineering, and the engineering behind personalization, commerce, lifecycle, and identity. Job Summary: The DEEP & Technology team is seeking a highly experienced Senior Manager (M3) to lead and scale our Quality Engineering organization supporting various commerce, data and advertising systems. In this role, you will provide strategic, operational, and technical leadership across multiple quality engineering teams, ensuring robust test automation, reliability, and business impact at scale. You will develop and execute a quality strategy that drives measurable improvement in system reliability, speed of delivery, and product excellence, partnering closely with executives, engineering leadership, and cross-functional business units. Ideal candidates are visionary people leaders with a proven track record of growing high-performing teams, implementing transformational quality programs, and delivering significant value in complex and rapidly evolving environments. Responsibilities: Organizational Leadership & Transformation Lead, inspire, and develop multiple quality engineering teams and people leaders (managers/technical leads), fostering a culture of technical excellence, inclusion, and continuous learning. Define the multi-year vision and strategic roadmap for quality engineering across the advertising platform, aligned with company business and technology goals. Champion organizational transformation, driving the adoption of best-in-class practices, tools, and quality metrics at scale. Technical Thought Leadership Set the technical direction for large-scale test automation architecture, cloud-native solutions, and intelligent testing initiatives (AI/ML-driven testing, autonomous pipelines, etc.). Sponsor and guide the evolution of shared automation frameworks, tools, and platforms across product and engineering teams. Ensure timely resolution and prevention of high-severity outages through organizational postmortems, root cause analysis, and systemic improvements. Strategic Planning & Execution Develop, communicate, and execute the quality engineering strategy across multiple product groups, balancing innovation, risk, and operational needs. Oversee resource planning, hiring, and organizational design to ensure scaling and allocation of quality engineering talent to meet evolving business needs. Take ultimate responsibility for quality governance, compliance, and traceability across all product lines within your scope. Cross-Functional & Executive Partnership Build and maintain strong working relationships with senior leadership in engineering, product management, data science, product operations, and business teams. Articulate quality risks, trade-offs, and long-term strategies to executive stakeholders; provide regular reporting on quality metrics and organizational outcomes. Lead cross-functional initiatives to ensure test automation and quality engineering are embedded early and effectively throughout the development lifecycle. Minimum Qualifications: 10+ years of experience in software quality engineering, test automation, or software development, with 5+ years managing managers or leading multi-team organizations Proven track record of scaling and transforming quality engineering functions in complex, cloud-native, high-scale environments Demonstrated experience defining and driving organizational strategy, advocating for quality at the senior/executive level, and influencing business outcomes Expertise in modern test automation frameworks, CI/CD, and emerging trends in software quality Knowledge of software engineering practices and agile approaches Strong desire for establishing and improving product quality Advanced proficiency with Python or modern OO languages; experience with ad-tech or large-scale systems is a plus Willingness to take challenges head on while being part of a team Strong communication, stakeholder management, and mentoring skills Bachelor's degree, preferably in Computer Science or related field (or equivalent experience) The hiring range for this position in California is $171,600 - $230,100 per year and in New York is $179,700 - $241,000 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.
Disney Entertainment and ESPN Product & Technology
Glendale, California
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: We are seeking a Manager, Software Engineering, focused on BI & Analytics to lead a high-performing, multidisciplinary team in building and maintaining the data pipelines, AI-powered data solutions, and custom analytics UIs and dashboards that are foundational to Disney's Ad Platforms. In this role, you'll manage both frontend and backend software & data engineering, ensuring that business and end-user needs are met with reliability, scalability, and outstanding UI/UX design. The ideal candidate will be both a technical leader and a people manager with deep expertise in software, data engineering and platform strategy. Responsibilities and Duties of the Role: Instill a culture grounded in engineering best practices such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Manage, mentor, and grow a team of high-performing software and data engineers, fostering a collaborative and innovative culture such as code quality, documentation, automation, and continuous improvement Coordinate with Product Management to align engineering roadmaps with product initiatives and timelines Partner with Program Managers to drive planning, prioritization, and delivery of cross-functional efforts Collaborate with QA leadership to build data quality processes and end-to-end validation such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Lead and grow a high-performing team of software and data engineers working on mission-critical data products Set engineering roadmaps, delivery timelines, and platform-level initiatives Drive adoption of best-in-class tools and practices for data governance, lineage, observability, and cost optimization Provide technical guidance and career development for the team Collaborate with senior leadership to define data strategy and long-term architecture vision Manage capacity planning, resource allocation, and performance reviews Lead vendor/tool evaluations and oversee key integration efforts Partner with BI and analytics leads to ensure consistent, reliable data is delivered across the enterprise Spearhead the implementation of custom dashboards and analytics UIs, leveraging modern web frameworks (React, Angular, Vue, etc.), advanced data visualization, and design system best practices. Rapidly prototype UI components tailored to stakeholder/business requirements, ensuring high standards for usability, accessibility, and visual polish. Drive the integration of AI/ML solutions into both backend pipelines and analytics products; champion the use of AI-powered software development processes and robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering, data engineering or data science - preferably with a digital media or digital advertising company Experience delivering products in an agile software development environment including sprint work in Jira Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least one programming language such as Python, R, Scala, Java. Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, Looker, etc. Strong experience building and deploying dashboards and UIs with frameworks such as React, Angular, or Vue. Demonstrated ability to quickly prototype and implement custom UI components to meet evolving business/stakeholder specs. Familiarity with AI-powered solution development and integrating machine learning into production data/analytics environments. Strong software development life cycle (SDLC) management experience, including source control, CI/CD, and agile workflows (Jira). Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiences Experience in working with large datasets (Terabytes or more) Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid Chart Strong analytical and critical thinking skills Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team Preferred Qualifications Experience designing, building and supporting Business Intelligence (BI) data platforms, dashboards, and reporting environments Experience in Ad Tech, particularly Linear or Addressable Advertising Experience with digital advertising systems and ecosystems Experience using data analytics to triage and troubleshoot advertising workflows Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD) Experience with rapid prototyping and agile delivery of analytics products. Required Education Bachelor's degree in computer science, or related technical fields, or equivalent experience Additional Information: Engineers are expected to be in the office four days a week. This role is hiring in Glendale, CA The hiring range for this position in Los Angeles, CA is between $171,600 - $230,100, Seattle, WA is between $179,700 - $241,000 and San Francisco, CA is between $187,900 - $252,000. 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.
08/06/2026
Full time
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: We are seeking a Manager, Software Engineering, focused on BI & Analytics to lead a high-performing, multidisciplinary team in building and maintaining the data pipelines, AI-powered data solutions, and custom analytics UIs and dashboards that are foundational to Disney's Ad Platforms. In this role, you'll manage both frontend and backend software & data engineering, ensuring that business and end-user needs are met with reliability, scalability, and outstanding UI/UX design. The ideal candidate will be both a technical leader and a people manager with deep expertise in software, data engineering and platform strategy. Responsibilities and Duties of the Role: Instill a culture grounded in engineering best practices such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Manage, mentor, and grow a team of high-performing software and data engineers, fostering a collaborative and innovative culture such as code quality, documentation, automation, and continuous improvement Coordinate with Product Management to align engineering roadmaps with product initiatives and timelines Partner with Program Managers to drive planning, prioritization, and delivery of cross-functional efforts Collaborate with QA leadership to build data quality processes and end-to-end validation such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Lead and grow a high-performing team of software and data engineers working on mission-critical data products Set engineering roadmaps, delivery timelines, and platform-level initiatives Drive adoption of best-in-class tools and practices for data governance, lineage, observability, and cost optimization Provide technical guidance and career development for the team Collaborate with senior leadership to define data strategy and long-term architecture vision Manage capacity planning, resource allocation, and performance reviews Lead vendor/tool evaluations and oversee key integration efforts Partner with BI and analytics leads to ensure consistent, reliable data is delivered across the enterprise Spearhead the implementation of custom dashboards and analytics UIs, leveraging modern web frameworks (React, Angular, Vue, etc.), advanced data visualization, and design system best practices. Rapidly prototype UI components tailored to stakeholder/business requirements, ensuring high standards for usability, accessibility, and visual polish. Drive the integration of AI/ML solutions into both backend pipelines and analytics products; champion the use of AI-powered software development processes and robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering, data engineering or data science - preferably with a digital media or digital advertising company Experience delivering products in an agile software development environment including sprint work in Jira Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least one programming language such as Python, R, Scala, Java. Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, Looker, etc. Strong experience building and deploying dashboards and UIs with frameworks such as React, Angular, or Vue. Demonstrated ability to quickly prototype and implement custom UI components to meet evolving business/stakeholder specs. Familiarity with AI-powered solution development and integrating machine learning into production data/analytics environments. Strong software development life cycle (SDLC) management experience, including source control, CI/CD, and agile workflows (Jira). Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiences Experience in working with large datasets (Terabytes or more) Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid Chart Strong analytical and critical thinking skills Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team Preferred Qualifications Experience designing, building and supporting Business Intelligence (BI) data platforms, dashboards, and reporting environments Experience in Ad Tech, particularly Linear or Addressable Advertising Experience with digital advertising systems and ecosystems Experience using data analytics to triage and troubleshoot advertising workflows Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD) Experience with rapid prototyping and agile delivery of analytics products. Required Education Bachelor's degree in computer science, or related technical fields, or equivalent experience Additional Information: Engineers are expected to be in the office four days a week. This role is hiring in Glendale, CA The hiring range for this position in Los Angeles, CA is between $171,600 - $230,100, Seattle, WA is between $179,700 - $241,000 and San Francisco, CA is between $187,900 - $252,000. 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.
Disney Entertainment and ESPN Product & Technology
Seattle, Washington
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI team is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance ad decisioning, forecasting, experimentation and ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead ML and data science initiatives that shape the future of advertising technology. You will support generative AI production development through rigorous evaluation and data generation pipelines. You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies. WHAT YOU'LL DO Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery. Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations. Define and evaluate key metrics in various product areas. Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications. Develop Standard Operating Procedures for human-driven evaluations or labeling. Deliver data insights and provide data-driven recommendations to cross-team stakeholders. Design and analyze A/B tests for machine learning algorithm iterations. Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. Mentor team members and support their technical growth. WHAT TO BRING Bachelor's in computer science, statistics or equivalent experience At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus. Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models. Strong interest to learn about generative mixed media, generative video, and diffusion-based technology. Solid knowledge of data science and statistics. Strong communication skills and business acumen. Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. Experience designing and building machine learning models. Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement. Experienced building data-driven services and applications for production. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES MS or PhD in computer science, statistics or equivalent experience Experience in digital video advertising or digital marketing domain Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows. Otherwise a strong interest to learn. Experience with Airflow, data warehouse, Databricks or Sagemaker. The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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.
08/06/2026
Full time
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI team is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance ad decisioning, forecasting, experimentation and ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead ML and data science initiatives that shape the future of advertising technology. You will support generative AI production development through rigorous evaluation and data generation pipelines. You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies. WHAT YOU'LL DO Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery. Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations. Define and evaluate key metrics in various product areas. Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications. Develop Standard Operating Procedures for human-driven evaluations or labeling. Deliver data insights and provide data-driven recommendations to cross-team stakeholders. Design and analyze A/B tests for machine learning algorithm iterations. Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. Mentor team members and support their technical growth. WHAT TO BRING Bachelor's in computer science, statistics or equivalent experience At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus. Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models. Strong interest to learn about generative mixed media, generative video, and diffusion-based technology. Solid knowledge of data science and statistics. Strong communication skills and business acumen. Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. Experience designing and building machine learning models. Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement. Experienced building data-driven services and applications for production. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES MS or PhD in computer science, statistics or equivalent experience Experience in digital video advertising or digital marketing domain Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows. Otherwise a strong interest to learn. Experience with Airflow, data warehouse, Databricks or Sagemaker. The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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.
At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Lead Software Engineer will report to the Sr Manager, Technology. About the Role & Team We are seeking a visionary Lead Software Engineer to drive the development of scalable, intelligent systems that support licensing financial operations and AI-driven decision-making. This role will be instrumental in shaping the architecture and delivery of next-generation platforms that power financial licensing workflows and predictive analytics. What You'll Do Lead the design, development, and deployment of software solutions for licensing financial systems and AI-powered applications. Architect and implement scalable services that integrate with internal and third-party financial platforms. Collaborate with product, finance, and data science teams to define system requirements and deliver intelligent automation. Apply machine learning and AI techniques to optimize licensing workflows, forecasting, and compliance monitoring. Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation. Mentor junior engineers and foster a culture of innovation, inclusion, and technical excellence. Stay current with emerging technologies in AI, financial systems, and cloud-native development to inform strategic decisions. Required Qualifications & Skills: 7+ years of software engineering experience, including leadership of complex projects. Proven experience with financial systems, licensing workflows, or royalty management platforms. Hands-on expertise of developing and deploying custom AI solutions using LLMs to automate business processes or improve business outcomes in enterprise environments . Excellent programming skills in languages such as Java and Python. Experience with cloud platforms (AWS,GCP) and container orchestration (e.g., Kubernetes). Agile development experience and familiarity with CI/CD pipelines. Excellent communication and stakeholder engagement skills. Preferred Qualifications Experience with licensing systems in media, entertainment, or digital content industries. Familiarity with financial compliance standards and audit processes. Education Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Master's degree in Technology is a plus. The hiring range for this position in Glendale California is $150,000-$180,000 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.
08/06/2026
Full time
At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Lead Software Engineer will report to the Sr Manager, Technology. About the Role & Team We are seeking a visionary Lead Software Engineer to drive the development of scalable, intelligent systems that support licensing financial operations and AI-driven decision-making. This role will be instrumental in shaping the architecture and delivery of next-generation platforms that power financial licensing workflows and predictive analytics. What You'll Do Lead the design, development, and deployment of software solutions for licensing financial systems and AI-powered applications. Architect and implement scalable services that integrate with internal and third-party financial platforms. Collaborate with product, finance, and data science teams to define system requirements and deliver intelligent automation. Apply machine learning and AI techniques to optimize licensing workflows, forecasting, and compliance monitoring. Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation. Mentor junior engineers and foster a culture of innovation, inclusion, and technical excellence. Stay current with emerging technologies in AI, financial systems, and cloud-native development to inform strategic decisions. Required Qualifications & Skills: 7+ years of software engineering experience, including leadership of complex projects. Proven experience with financial systems, licensing workflows, or royalty management platforms. Hands-on expertise of developing and deploying custom AI solutions using LLMs to automate business processes or improve business outcomes in enterprise environments . Excellent programming skills in languages such as Java and Python. Experience with cloud platforms (AWS,GCP) and container orchestration (e.g., Kubernetes). Agile development experience and familiarity with CI/CD pipelines. Excellent communication and stakeholder engagement skills. Preferred Qualifications Experience with licensing systems in media, entertainment, or digital content industries. Familiarity with financial compliance standards and audit processes. Education Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Master's degree in Technology is a plus. The hiring range for this position in Glendale California is $150,000-$180,000 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.