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About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team The Data Platform Engineering team (Part of Upstart's Decisioning & Data) provides developer tools, frameworks, and scalable data infrastructure as shared services across Upstart. The team's primary objective is to provide Data Analysts, ML scientists, and Software Engineers access to high-quality data and developer tools to create business metrics and training data for respective product verticals. You will join the Data Production Experience (PX) team, which owns Upstart’s Lakehouse (Databricks) infrastructure. This is the platform that Machine Learning, Analytics, and Software Engineering teams use to build the training data and metrics behind our lending, fraud, and pricing models—enabling growth and reducing risk across our business verticals. As a Senior Infrastructure Engineer joining this team, you will focus on: Lakehouse Infrastructure and Security : Own the Databricks platform across multiple environments, including a newly launched regulated environment (Upstart Bank). Responsibilities include expanding infrastructure as code for new Lakehouse features, enforcing a no-click-ops policy, establishing disaster recovery, implementing least-privilege and attribute-based access controls (e.g., based on data classification), ensuring environment isolation, and resolving other known security risks. Compliance : Close control gaps and automate evidence gathering for OCC, SOX and SOC audits across access management, change management, and data quality. Cost and usage efficiency : Reduce Databricks and AWS spend through accurate cost attribution, waste detection, and platform-level optimizations (e.g., compute rightsizing, improving pruning, migrating to Graviton and spot instances, Delta Lake Archival). How you’ll make an impact Evaluate and adopt new technologies, including open-source lakehouse alternatives, to expand platform capabilities. Improve developer efficiency and infrastructure reliability by working with cross-functional stakeholders like Data Engineering, Machine Learning, Analytics, Compliance, and Security. Improve Lakehouse security, usage efficiency, and observability by collaborating closely with the Data Engineering and Security teams. Evangelize good coding and engineering best practices while uplifting fellow engineers and mentoring junior team members. Help break down complex projects and requirements into quarterly commitments and sprints. Own Lakehouse infrastructure components end to end, from technical requirements and design through rollout and production support. Minimum Qualifications Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. 5+ years of experience in infrastructure engineering, DevOps, or data platform engineering. Hands-on experience operating a lakehouse or big data platform (e.g., Databricks, Snowflake, Apache Spark, Delta Lake, Apache Iceberg). Hands-on experience with AWS (e.g., IAM, S3, EC2, EKS), Python, infrastructure as code (Terraform or CDK), CI/CD, and Kubernetes. Preferred Qualifications Experience implementing security and compliance controls in audited environments (e.g., SOX, SOC 2, GDPR, GLBA, OCC), including access management, encryption, and change management. Experience reducing cloud or data platform costs through usage analysis, cost attribution, and infrastructure optimization (e.g., Graviton or spot instances, storage tiering). Ability to reason from first principles and work effectively through ambiguity on complex, cross-functional problems. Proficient in DevOps engineering, leveraging Continuous Integration/Continuous Delivery (CI/CD) tools such as Kubernetes, Jenkins, CDK, APM, Terraform, and more. Experienced in automation, alerting, monitoring, security, and declarative infrastructure. Solid understanding of cloud networking fundamentals. Skilled at explaining complex concepts in simple, accessible terms and thriving in fast-paced, ambiguous environments. Experience using AI coding assistants or agents to accelerate infrastructure development and operations. Familiarity with distributed systems, data architecture design, and big data technologies (e.g., Spark, Kafka, Lakehouse, Databricks) Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. #LI-REMOTE #LI-MidSenior At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $166,900 — $230,900 USD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team The Data Platform Engineering team (Part of Upstart's Decisioning & Data) provides developer tools, frameworks, and scalable data infrastructure as shared services across Upstart. The team's primary objective is to provide Data Analysts, ML scientists, and Software Engineers access to high-quality data and developer tools to create business metrics and training data for respective product verticals. You will join the Data Production Experience (PX) team, which owns Upstart’s Lakehouse (Databricks) infrastructure. This is the platform that Machine Learning, Analytics, and Software Engineering teams use to build the training data and metrics behind our lending, fraud, and pricing models—enabling growth and reducing risk across our business verticals. As a Senior Infrastructure Engineer joining this team, you will focus on: Lakehouse Infrastructure and Security : Own the Databricks platform across multiple environments, including a newly launched regulated environment (Upstart Bank). Responsibilities include expanding infrastructure as code for new Lakehouse features, enforcing a no-click-ops policy, establishing disaster recovery, implementing least-privilege and attribute-based access controls (e.g., based on data classification), ensuring environment isolation, and resolving other known security risks. Compliance : Close control gaps and automate evidence gathering for OCC, SOX and SOC audits across access management, change management, and data quality. Cost and usage efficiency : Reduce Databricks and AWS spend through accurate cost attribution, waste detection, and platform-level optimizations (e.g., compute rightsizing, improving pruning, migrating to Graviton and spot instances, Delta Lake Archival). How you’ll make an impact Evaluate and adopt new technologies, including open-source lakehouse alternatives, to expand platform capabilities. Improve developer efficiency and infrastructure reliability by working with cross-functional stakeholders like Data Engineering, Machine Learning, Analytics, Compliance, and Security. Improve Lakehouse security, usage efficiency, and observability by collaborating closely with the Data Engineering and Security teams. Evangelize good coding and engineering best practices while uplifting fellow engineers and mentoring junior team members. Help break down complex projects and requirements into quarterly commitments and sprints. Own Lakehouse infrastructure components end to end, from technical requirements and design through rollout and production support. Minimum Qualifications Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. 5+ years of experience in infrastructure engineering, DevOps, or data platform engineering. Hands-on experience operating a lakehouse or big data platform (e.g., Databricks, Snowflake, Apache Spark, Delta Lake, Apache Iceberg). Hands-on experience with AWS (e.g., IAM, S3, EC2, EKS), Python, infrastructure as code (Terraform or CDK), CI/CD, and Kubernetes. Preferred Qualifications Experience implementing security and compliance controls in audited environments (e.g., SOX, SOC 2, GDPR, GLBA, OCC), including access management, encryption, and change management. Experience reducing cloud or data platform costs through usage analysis, cost attribution, and infrastructure optimization (e.g., Graviton or spot instances, storage tiering). Ability to reason from first principles and work effectively through ambiguity on complex, cross-functional problems. Proficient in DevOps engineering, leveraging Continuous Integration/Continuous Delivery (CI/CD) tools such as Kubernetes, Jenkins, CDK, APM, Terraform, and more. Experienced in automation, alerting, monitoring, security, and declarative infrastructure. Solid understanding of cloud networking fundamentals. Skilled at explaining complex concepts in simple, accessible terms and thriving in fast-paced, ambiguous environments. Experience using AI coding assistants or agents to accelerate infrastructure development and operations. Familiarity with distributed systems, data architecture design, and big data technologies (e.g., Spark, Kafka, Lakehouse, Databricks) Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. #LI-REMOTE #LI-MidSenior At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $166,900 — $230,900 USD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team Upstart’s Core Pricing team drives key initiatives that directly influence Upstart’s revenue streams and product strategies. This includes developing the common systems used to calculate risk and profitability for each loan we originate, as well as providing a top-notch borrower experience by supporting our product development teams. You will be joining a dynamic, cross-functional team that works closely with data scientists, product managers, and business stakeholders to deliver scalable, high-impact solutions. As a Senior Software Engineer on Core Pricing, you’ll play a critical role in evolving the systems that power Upstart’s loan pricing across multiple product lines. You’ll design and implement highly scalable, low-latency services that convert ML underwriting outputs into accurate risk and profitability measures, while helping define the future of Upstart’s pricing platform. How You’ll Make an Impact Lead the design and development of scalable, high-performance services that enable real-time pricing decisions across multiple products. Collaborate with data scientists and product managers to translate business goals into robust technical solutions. Drive architectural improvements in the pricing platform to support rapid growth, new products, and evolving modeling needs. Mentor and coach engineers across the team, elevating best practices in system design, testing, and operational excellence. Ensure the quality and reliability of our pricing engines through comprehensive testing, code reviews, and production monitoring. Champion improvements in developer experience, automation, and observability to increase team velocity and platform resilience. What We're Looking For Minimum Qualifications 3+ years of professional software development experience building scalable public or consumer-facing products. High level of proficiency coding in production with Python, and some experience with Java or Kotlin or similiar. Proven ability to independently own and deliver complex, multi-month engineering projects in fast-paced environments. Experience designing and building scalable APIs and microservices in a cloud-based environment (AWS or GCP). Strong problem-solving skills with an emphasis on scalability, performance, and system reliability. Excellent communication skills, able to explain complex technical topics to both technical and non-technical audiences. Demonstrated experience mentoring and coaching engineers, influencing technical direction, and raising the bar for the team. Exhibits a bias for action and comfort navigating ambiguity while driving towards impactful outcomes. Preferred Qualifications Background in finance / fintech, financial mathematics, statistics, or machine learning preferred but not required History of thriving in diverse work environments: both collaborative and self-directed; remote and in-person. Deep experience with distributed systems, cloud-native development, and advanced CI/CD pipelines (infrastructure-as-code focus). Recognized as a subject matter expert or technical owner for a critical domain, with a passion for sharing knowledge and best practices. Active contributor to the tech community through open source, technical talks, or mentorship. Position Location - This role is available in the following locations: Remote US Time Zone Requirements - This team operates across all U.S. time zones. Travel Requirements - This team has regular on-site collaboration sessions. These occur 3 days per quarter at an Upstart office. If you need to travel to make these meetups, Upstart will cover all travel related expenses. #LI-REMOTE #LI-MidSenior At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $142,000 — $196,600 USD At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). Canada | Remote - Anticipated Base Salary Range $136,000 — $165,000 CAD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team Upstart’s Core Pricing team drives key initiatives that directly influence Upstart’s revenue streams and product strategies. This includes developing the common systems used to calculate risk and profitability for each loan we originate, as well as providing a top-notch borrower experience by supporting our product development teams. You will be joining a dynamic, cross-functional team that works closely with data scientists, product managers, and business stakeholders to deliver scalable, high-impact solutions. As a Senior Software Engineer on Core Pricing, you’ll play a critical role in evolving the systems that power Upstart’s loan pricing across multiple product lines. You’ll design and implement highly scalable, low-latency services that convert ML underwriting outputs into accurate risk and profitability measures, while helping define the future of Upstart’s pricing platform. How You’ll Make an Impact Lead the design and development of scalable, high-performance services that enable real-time pricing decisions across multiple products. Collaborate with data scientists and product managers to translate business goals into robust technical solutions. Drive architectural improvements in the pricing platform to support rapid growth, new products, and evolving modeling needs. Mentor and coach engineers across the team, elevating best practices in system design, testing, and operational excellence. Ensure the quality and reliability of our pricing engines through comprehensive testing, code reviews, and production monitoring. Champion improvements in developer experience, automation, and observability to increase team velocity and platform resilience. What We're Looking For Minimum Qualifications 3+ years of professional software development experience building scalable public or consumer-facing products. High level of proficiency coding in production with Python, and some experience with Java or Kotlin or similiar. Proven ability to independently own and deliver complex, multi-month engineering projects in fast-paced environments. Experience designing and building scalable APIs and microservices in a cloud-based environment (AWS or GCP). Strong problem-solving skills with an emphasis on scalability, performance, and system reliability. Excellent communication skills, able to explain complex technical topics to both technical and non-technical audiences. Demonstrated experience mentoring and coaching engineers, influencing technical direction, and raising the bar for the team. Exhibits a bias for action and comfort navigating ambiguity while driving towards impactful outcomes. Preferred Qualifications Background in finance / fintech, financial mathematics, statistics, or machine learning preferred but not required History of thriving in diverse work environments: both collaborative and self-directed; remote and in-person. Deep experience with distributed systems, cloud-native development, and advanced CI/CD pipelines (infrastructure-as-code focus). Recognized as a subject matter expert or technical owner for a critical domain, with a passion for sharing knowledge and best practices. Active contributor to the tech community through open source, technical talks, or mentorship. Position Location - This role is available in the following locations: Remote US Time Zone Requirements - This team operates across all U.S. time zones. Travel Requirements - This team has regular on-site collaboration sessions. These occur 3 days per quarter at an Upstart office. If you need to travel to make these meetups, Upstart will cover all travel related expenses. #LI-REMOTE #LI-MidSenior At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $142,000 — $196,600 USD At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). Canada | Remote - Anticipated Base Salary Range $136,000 — $165,000 CAD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team Upstart’s ML Data Enablement team is a platform team with end-to-end ownership (from source to inference) of the data lifecycle that powers all ML models across external vendors and internal datasets. The team’s mission is to make it dramatically easier for ML teams to discover, evaluate, trust, and productionize high-impact data. — with particular emphasis on accelerating new third-party data onboarding and unlocking under-leveraged internal data. The team builds scalable infrastructure, standardized workflows, and quality guarantees that reduce integration time, increase evaluation velocity, and enforce strong ownership and SLAs across the ML data lifecycle. As the Sr. Engineering Manager - ML Data Enablement, you will lead this organization and define the strategy, operating model, and execution roadmap that increases data evaluation velocity and reduces time-to-production for high-value data sources. You will partner cross-functionally with ML, ML Platform, Procurement, Data Platform, and product engineering teams to transform data from a bottleneck into a durable competitive advantage. How you’ll make an impact Build and lead a high-performing team spanning data integration, data quality, metadata, and ML-critical data infrastructure for online inference and offline training , including standing up new dedicated integration capacity where needed. Set and execute the technical strategy aligned to measurable north star metrics such as increasing data evaluation velocity and reducing time to production. Drive robust data quality and reconciliation frameworks, including retro vs. production checks, ingress-level monitoring, and drift detection to prevent launch issues and downstream model degradation. Champion a company-wide shift toward data contracts and SLAs, ensuring data producers adopt clear ownership, quality standards, and monitoring practices for ML-critical datasets. Establish clear end-to-end ownership across the third-party and internal data lifecycle, eliminating fragmented workflows and implicit accountability. Accelerate third-party data onboarding by operationalizing standardized vendor intake, secure retro ingestion, templated integrations, and configurable microservices that reduce engineering lift and cycle time. Unlock internal data for ML innovation by improving metadata coverage, lineage standards, ownership contracts, and ML discoverability across high-impact internal domains What we’re looking for Minimum requirements Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of engineer experience, including at least 3 years of direct people management experience Owned production data pipelines that enable both offline training and online inference Proven experience building and scaling data systems in modern stacks (e.g., Databricks/Spark, Python, SQL, AWS, streaming systems, orchestration frameworks) and distributed systems architecture. Demonstrated ownership of complex cross-functional initiatives spanning engineering, ML, and business stakeholders, including delivery under peer pushback and dependency negotiation. Experience designing and enforcing data quality frameworks and observability for production systems, including reconciliation, drift detection, and incident/postmortem operating loops. Preferred qualifications 10+ years in data engineering AND ML platform OR ML data platform roles , with 5+ years managing engineering teams. (strongly preferred( Experience with feature stores and real-time feature delivery or equivalent feature transformation interfaces used in inference . Strong knowledge of lakehouse architecture and big data processing frameworks. Familiarity with DevOps and infrastructure-as-code practices (Kubernetes, Terraform, CI/CD). Experience in fintech or other regulated environments where explainability, auditability, and controls matter. Ability to translate complex technical tradeoffs into business impact and influence cross-functional strategy. At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $195,000 — $270,000 USD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team Upstart’s ML Data Enablement team is a platform team with end-to-end ownership (from source to inference) of the data lifecycle that powers all ML models across external vendors and internal datasets. The team’s mission is to make it dramatically easier for ML teams to discover, evaluate, trust, and productionize high-impact data. — with particular emphasis on accelerating new third-party data onboarding and unlocking under-leveraged internal data. The team builds scalable infrastructure, standardized workflows, and quality guarantees that reduce integration time, increase evaluation velocity, and enforce strong ownership and SLAs across the ML data lifecycle. As the Sr. Engineering Manager - ML Data Enablement, you will lead this organization and define the strategy, operating model, and execution roadmap that increases data evaluation velocity and reduces time-to-production for high-value data sources. You will partner cross-functionally with ML, ML Platform, Procurement, Data Platform, and product engineering teams to transform data from a bottleneck into a durable competitive advantage. How you’ll make an impact Build and lead a high-performing team spanning data integration, data quality, metadata, and ML-critical data infrastructure for online inference and offline training , including standing up new dedicated integration capacity where needed. Set and execute the technical strategy aligned to measurable north star metrics such as increasing data evaluation velocity and reducing time to production. Drive robust data quality and reconciliation frameworks, including retro vs. production checks, ingress-level monitoring, and drift detection to prevent launch issues and downstream model degradation. Champion a company-wide shift toward data contracts and SLAs, ensuring data producers adopt clear ownership, quality standards, and monitoring practices for ML-critical datasets. Establish clear end-to-end ownership across the third-party and internal data lifecycle, eliminating fragmented workflows and implicit accountability. Accelerate third-party data onboarding by operationalizing standardized vendor intake, secure retro ingestion, templated integrations, and configurable microservices that reduce engineering lift and cycle time. Unlock internal data for ML innovation by improving metadata coverage, lineage standards, ownership contracts, and ML discoverability across high-impact internal domains What we’re looking for Minimum requirements Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of engineer experience, including at least 3 years of direct people management experience Owned production data pipelines that enable both offline training and online inference Proven experience building and scaling data systems in modern stacks (e.g., Databricks/Spark, Python, SQL, AWS, streaming systems, orchestration frameworks) and distributed systems architecture. Demonstrated ownership of complex cross-functional initiatives spanning engineering, ML, and business stakeholders, including delivery under peer pushback and dependency negotiation. Experience designing and enforcing data quality frameworks and observability for production systems, including reconciliation, drift detection, and incident/postmortem operating loops. Preferred qualifications 10+ years in data engineering AND ML platform OR ML data platform roles , with 5+ years managing engineering teams. (strongly preferred( Experience with feature stores and real-time feature delivery or equivalent feature transformation interfaces used in inference . Strong knowledge of lakehouse architecture and big data processing frameworks. Familiarity with DevOps and infrastructure-as-code practices (Kubernetes, Terraform, CI/CD). Experience in fintech or other regulated environments where explainability, auditability, and controls matter. Ability to translate complex technical tradeoffs into business impact and influence cross-functional strategy. At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $195,000 — $270,000 USD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Role As an Applied Scientist Intern, you will become a specialist in our models, products, business and/or codebase. You will identify potential problems or opportunities for improvement, communicate these to the team and suggest solutions. This involves self-directed investigation, offline analyses using creative thinking as well as presentation to the ML team. You will receive mentorship from experienced ML practitioners and collaborate closely with the team to improve our products and models. How you’ll make an impact Research machine learning and statistical approaches to discover improvements to the predictive performance and/or business value of a model. Design, implement, and evaluate model, product, or technical enhancements using rigorous experimentation and validation methods. Translate research findings into clear recommendations, documented methodologies, and production-ready solutions. Work with your mentor to align stakeholders, and drive next steps. Minimum Qualifications Bachelor. Masters or PHD degree in mathematics, statistics, physics, econometrics, computer science, or a related quantitative field. On track to graduate by 2028. Strong fundamentals in statistical, probability, and machine learning theory. Ability to perform data analysis and evaluate machine learning or statistical models using Python, as well as basic SQL foundations. Intellectual curiosity, humility, drive and teamwork. Strong communication skills. Ability to use modern agentic tooling (Claude Code, Codex, …) efficiently. Preferred Qualifications Phd in mathematics, statistics, physics, econometrics, computer science, or a related quantitative field. On track to graduate by the summer of 2028. Experience in supervised learning, model evaluation, and feature engineering techniques. Advanced statistical (frequentist, bayesian, causal) theory/econometrics knowledge. Strong coding skills in Python. Position location This role is Fully Remote Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. To this end, over the course of the internship, you will meet to collaborate once or twice, for 2-4 consecutive days at a time. This internship is eligible for a different set of benefits than those listed below for our full-time roles. Your recruiter will be happy to share more details. #LI-REMOTE #LI-Internship At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $141,000 — $150,000 USD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Role As an Applied Scientist Intern, you will become a specialist in our models, products, business and/or codebase. You will identify potential problems or opportunities for improvement, communicate these to the team and suggest solutions. This involves self-directed investigation, offline analyses using creative thinking as well as presentation to the ML team. You will receive mentorship from experienced ML practitioners and collaborate closely with the team to improve our products and models. How you’ll make an impact Research machine learning and statistical approaches to discover improvements to the predictive performance and/or business value of a model. Design, implement, and evaluate model, product, or technical enhancements using rigorous experimentation and validation methods. Translate research findings into clear recommendations, documented methodologies, and production-ready solutions. Work with your mentor to align stakeholders, and drive next steps. Minimum Qualifications Bachelor. Masters or PHD degree in mathematics, statistics, physics, econometrics, computer science, or a related quantitative field. On track to graduate by 2028. Strong fundamentals in statistical, probability, and machine learning theory. Ability to perform data analysis and evaluate machine learning or statistical models using Python, as well as basic SQL foundations. Intellectual curiosity, humility, drive and teamwork. Strong communication skills. Ability to use modern agentic tooling (Claude Code, Codex, …) efficiently. Preferred Qualifications Phd in mathematics, statistics, physics, econometrics, computer science, or a related quantitative field. On track to graduate by the summer of 2028. Experience in supervised learning, model evaluation, and feature engineering techniques. Advanced statistical (frequentist, bayesian, causal) theory/econometrics knowledge. Strong coding skills in Python. Position location This role is Fully Remote Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. To this end, over the course of the internship, you will meet to collaborate once or twice, for 2-4 consecutive days at a time. This internship is eligible for a different set of benefits than those listed below for our full-time roles. Your recruiter will be happy to share more details. #LI-REMOTE #LI-Internship At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $141,000 — $150,000 USD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy