At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. When you join one of our teams, you'll be part of a nimble group that's empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won't have to look to find growth opportunities-ready or not, they'll find you. From retail to government to healthcare, we're on a mission to bring humanity, connection, and empathy back to business. Join over 6,000 people across the globe who think that's work worth doing. Senior Product Manager Why We Have This Role Digital is at the forefront of the experience offered by companies World-wide and is THE make or break touchpoint that impacts revenue, loyalty and customer satisfaction. The Qualtrics Digital Frontline set of offerings are the tip of the spear for our overall CX business with a large installed base and massive revenue growth of >80% year over year. In this role, you will deliver innovation centered on generating insights and driving actioning based on rich digital analytics and voice of customer (VoC) data collected through our platform. You will leverage cutting edge AI/ML techniques and finely tuned LLM models to enable insights and recommendations. How You'll Find Success Product teams at Qualtrics win not just by shipping great products but by driving engagement, usage and value realization for our customers through those products. You love to obsess about data and growing engagement and usage through experimentation as you seek to deliver innovative products tailored for Digital practitioners. How You'll Grow <ul> <li>By taking initiative and being adaptable in a dynamic environment </li><li>Through developing problem-solving skills and the ability to make data-driven decisions. </li><li>By expanding your interpersonal skills and ability to influence across departments </li></ul>Things You'll Do <ul> <li>Collaborate with engineers and designers to bring core feature sets to market </li><li>Build empathy for core personas/users and translate this into product specification documents </li><li>Engage with customers, sales, and stakeholders to drive product improvements and usage </li><li>Utilize quantitative and qualitative data to inform decisions and success measures. </li><li>Help go-to-market teams in communicating the value proposition to diverse audiences and collaborate on feature positioning </li><li>Produce clearly written product specifications aligned with strategy </li><li>Understand customer needs and identify product improvements. </li><li>Use data to inform your viewpoints </li><li>Release features related to insights and actioning for our Digital analytics solutions </li><li>Communicate product value and partner with go-to-market stakeholders </li></ul>What We're Looking for on Your Resume <ul> <li>Bachelor's degree in Business, Marketing, Engineering, Computer Science, or a related field </li><li>4-8 years of experience in a product-related role, preferably in technology or software development </li><li>An owner's mentality, adaptability, and a problem-solving mindset </li><li>Strong interpersonal, verbal, and written communication skills </li><li>Analytical, data-driven decision-making capabilities </li></ul>What You Should Know about this Team <ul> <li>The product team is focused on providing solutions for large-scale organizational Experience Management. </li><li>The team works closely with brands and Fortune 100 companies to enhance customer and frontline experiences. </li></ul>Our Team's Favorite Perks and Benefits <ul> <li>The satisfaction of empowering large networks through technology. </li><li>The opportunity to work with a diverse range of influential brands. </li><li>A role that encourages personal growth and initiative within a growing business area. </li></ul> The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know. Not finding a role that's the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. When you join one of our teams, you'll be part of a nimble group that's empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the microphone and iterating until the best solution comes to light. You won't have to look to find growth opportunities-ready or not, they'll find you. From retail to government to healthcare, we're on a mission to bring humanity, connection, and empathy back to business. Join over 6,000 people across the globe who think that's work worth doing. Applied Scientist Why We Have This Role We are looking for talented and innovative Applied Scientist to bring our Machine Learning and Artificial Intelligence R&D and strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage. As a Machine Learning Applied Scientist at Qualtrics, you should love building cutting-edge predictive models to solve hard customer problems. Crafting models in an agile environment to withstand hyper growth and owning quality from end-to-end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work! How You'll Find Success <ul><li>Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing, computer vision, and reinforcement learning.</li><li>Use your understanding of both supervised and unsupervised learning techniques, and their applications in building intelligent systems.</li><li>Develop and optimize algorithms for building scalable and efficient GenAI applications.</li><li>Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation.</li><li>Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for GenAI application development.</li><li>Demonstrate proficiency in generative models such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other techniques for generating synthetic data, images, text, and audio.</li><li>Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.</li></ul> How You'll Grow <ul><li>Passion for leveraging cutting-edge AI technology to create innovative GenAI applications that have a meaningful impact on businesses, industries, and society.</li><li>Commitment to developing GenAI applications that adhere to ethical standards and promote positive societal impact while minimizing potential risks.</li><li>Drive to push the boundaries of what's possible with AI, and to contribute to the advancement of the field through research, experimentation, and collaboration.</li><li>Willingness to stay updated with the latest advancements in AI research and technology, and to continuously learn and adapt to new methodologies and best practices.</li><li>Agility to pivot and iterate on GenAI applications based on feedback, emerging trends, and changing business requirements.</li></ul> Things You'll Do <ul><li>Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning models to meet the demands of our rapidly growing business</li><li>Stay on top of the latest developments in machine learning and related research, and present research findings with the broader community</li><li>Work closely with, and incorporate feedback from other specialists, engineers, and product managers</li><li>Lead and engage in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity</li><li>Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers</li></ul> What We're Looking For On Your Resume <ul><li>Bachelors in Computer Science or related fields</li><li>Solid understanding of machine learning fundamentals and tool ecosystem</li><li>2 years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.</li><li>Deep learning implementation expertise (TensorFlow, PyTorch etc)</li><li>Excellent command of at least one modern programming language (preferably Python)</li><li>Graduate degree in computer science or related fields</li><li>Deep understanding of machine learning model life cycle management</li><li>Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc.</li><li>Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning</li><li>Comfortable working in a fast paced, highly collaborative, dynamic work environment.</li><li>Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc) </li><li>Strong publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.)</li></ul> What You Should Know About This Team The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. This team builds core machine learning infrastructure and services. Our Team's Favorite Perks and Benefits <ul><li>QMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team. </li><li>Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women's Leadership Development, which exist as places for support, allyship, and advocacy.</li></ul> The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws: Family & Medical Leave Act, Equal Opportunity Employment, Employee Polygraph Protection Act Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know. Qualtrics Work Experience - As we look to the future, we believe that our teams are better together. Being together will help us learn more, grow faster and ultimately deliver better results for our customers and Qualtrics. Roles tied to an office location work 4 days per week in the office together and 1 day from home, with a strong spirit of flexibility around taking time for personal, health, and family moments in our work weeks. Our managers work with their teams to create a collaborative, engaged work environment, and arrangement that works for each of our team members. Not finding a role that's the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit. For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. For part-time or intern positions, this pay range is for base pay per hour. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria. Washington State Pay Transparency Range $133,500-$252,500 USD

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. When you join one of our teams, you'll be part of a nimble group that's empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won't have to look to find growth opportunities-ready or not, they'll find you. From retail to government to healthcare, we're on a mission to bring humanity, connection, and empathy back to business. Join over 6,000 people across the globe who think that's work worth doing. Principal Data Scientist, Revenue Analytics Why We Have This Role The Principal Data Scientist acts as a consultant to both sales and company leadership. You are responsible for providing a wide range of strategic, analytical, and operational support across multiple global regions and sales teams. In this role you will be responsible for solving complex problems and generating data-driven insights that directly impact revenue and solve pain points within the sales ecosystem. How You'll Find Success <ul><li>Data-oriented, with experience solving business problems using data tools and methodologies </li><li>Innately curious with a drive to solve problems at their core, not just answer surface-level questions and apply band-aid fixes </li><li>Able to collaborate with a variety of backgrounds across business and technical functions, both as partners and stakeholders </li><li>Focused on results, even if that occasionally requires work outside traditional analyst job responsibilities </li><li>Able to learn quickly and take initiative </li></ul>How You'll Grow<ul><li>Grow your data analysis, problem solving, and communication skills across while developing expertise in sales and go-to-market operations </li><li>Learn how global sales, customer success, and marketing teams operate, and improve the data/systems/insights that drive their growth </li><li>Design processes and systems based on the insights you help uncover </li></ul>Things You'll Do<ul><li>Help the Sales org operate more effectively by conducting quantitative research in key areas such as forecasting, pipeline management, performance management, and territory design </li><li>Innovate proactively with your unique mix of data and business knowledge </li><li>Democratize insights by partnering with systems, operations, and analytics teams to design and build data delivery mechanisms (dashboards, automated reports, etc.) </li><li>Ensure data quality with automated, documented, tested data pipelines built in Python and SQL </li></ul>What We're Looking For On Your Resume<ul><li>5-7 years of experience designing and building dashboards used by large audiences for extended periods of time (Tableau preferred) </li><li>Experience building robust data pipelines in Python and SQL across various data warehousing technologies (Redshift/Snowflake preferred) and system APIs (Salesforce, Qualtrics, Tableau, etc.) </li><li>Experience conducting innovative research in a business context </li><li>Experience collaborating with systems and operations teams to fully operationalize insights and democratize data </li><li>Experience working with a complex set of stakeholders, including executives, go-to-market field teams, and operations teams </li><li>Degree from a top-tier university with a quantitative or systems focus (e.g. Informations Systems, Computer Science, STEM, Business Analytics, Finance, Data Science) </li></ul>What You Should Know About This Team GTM Planning & Insights plays a critical role in managing and designing the operating rhythm of our global go-to-market field teams, including territory design, pipeline management, forecasting, customer health, performance management, and customer journey analytics. Our output scales across hundreds of individuals driving over $1B in revenue per year. Our Team's Favorite Perks and Benefits<ul><li>Experience Bonus: A unique bonus given to each employee to have an experience they couldn't have otherwise </li><li>Wellness Reimbursement: This can be put toward wellness activities including gym memberships, spa massages, workout equipment, meditation apps, and more. </li><li>Q Mentor Program: Looking to grow in your career? Get matched with a mentor inside Qualtrics to get meaningful coaching from someone outside your team. </li></ul> The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know. Not finding a role that's the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. When you join one of our teams, you'll be part of a nimble group that's empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the microphone and iterating until the best solution comes to light. You won't have to look to find growth opportunities-ready or not, they'll find you. From retail to government to healthcare, we're on a mission to bring humanity, connection, and empathy back to business. Join over 6,000 people across the globe who think that's work worth doing. Applied Scientist Why We Have This Role We are looking for talented and innovative Applied Scientist to bring our Machine Learning and Artificial Intelligence R&D and strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage. As a Machine Learning Applied Scientist at Qualtrics, you should love building cutting-edge predictive models to solve hard customer problems. Crafting models in an agile environment to withstand hyper growth and owning quality from end-to-end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work! How You'll Find Success <ul> <li>Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing, computer vision, and reinforcement learning. </li><li>Use your understanding of both supervised and unsupervised learning techniques, and their applications in building intelligent systems. </li><li>Develop and optimize algorithms for building scalable and efficient GenAI applications. </li><li>Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation. </li><li>Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for GenAI application development. </li><li>Demonstrate proficiency in generative models such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other techniques for generating synthetic data, images, text, and audio. </li><li>Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar. </li></ul>How You'll Grow <ul> <li>Passion for leveraging cutting-edge AI technology to create innovative GenAI applications that have a meaningful impact on businesses, industries, and society. </li><li>Commitment to developing GenAI applications that adhere to ethical standards and promote positive societal impact while minimizing potential risks. </li><li>Drive to push the boundaries of what's possible with AI, and to contribute to the advancement of the field through research, experimentation, and collaboration. </li><li>Willingness to stay updated with the latest advancements in AI research and technology, and to continuously learn and adapt to new methodologies and best practices. </li><li>Agility to pivot and iterate on GenAI applications based on feedback, emerging trends, and changing business requirements. </li></ul>Things You'll Do <ul> <li>Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning models to meet the demands of our rapidly growing business </li><li>Stay on top of the latest developments in machine learning and related research, and present research findings with the broader community </li><li>Work closely with, and incorporate feedback from other specialists, engineers, and product managers </li><li>Lead and engage in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity </li><li>Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers </li></ul>What We're Looking For On Your Resume <ul> <li>Bachelors in Computer Science or related fields </li><li>Solid understanding of machine learning fundamentals and tool ecosystem </li><li>2 years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field. </li><li>Deep learning implementation expertise (TensorFlow, PyTorch etc) </li><li>Excellent command of at least one modern programming language (preferably Python) </li><li>Graduate degree in computer science or related fields </li><li>Deep understanding of machine learning model life cycle management </li><li>Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc. </li><li>Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning </li><li>Comfortable working in a fast paced, highly collaborative, dynamic work environment. </li><li>Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc) </li> <li>Strong publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.) </li></ul>What You Should Know About This Team The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. This team builds core machine learning infrastructure and services. Our Team's Favorite Perks and Benefits <ul> <li>QMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team. </li> <li>Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women's Leadership Development, which exist as places for support, allyship, and advocacy. </li></ul> The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws: Family & Medical Leave Act, Equal Opportunity Employment, Employee Polygraph Protection Act Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know. Qualtrics Work Experience - As we look to the future, we believe that our teams are better together. Being together will help us learn more, grow faster and ultimately deliver better results for our customers and Qualtrics. Roles tied to an office location work 4 days per week in the office together and 1 day from home, with a strong spirit of flexibility around taking time for personal, health, and family moments in our work weeks. Our managers work with their teams to create a collaborative, engaged work environment, and arrangement that works for each of our team members. Not finding a role that's the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit. For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. For part-time or intern positions, this pay range is for base pay per hour. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria. Washington State Pay Transparency Range $133,500-$252,500 USD

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Qualtrics Jobs

Senior Product Manager Digital ExperienceJune 12, 2024

Applied Scientist IiJune 8, 2024

Principal Data Scientist Revenue AnalyticsJune 6, 2024

Principal Data Scientist Revenue AnalyticsJune 5, 2024

Senior Product Manager Digital ExperienceJune 2, 2024

Product Manager Enterprise PlatformMay 31, 2024

Principal Data Scientist Revenue AnalyticsMay 24, 2024

Applied Scientist IiMay 17, 2024