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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 Machine Learning Platform team builds the foundational technology that scales machine learning innovation across Upstart. As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering—collaborating closely with Research Scientists, Data Scientists, and ML Platform Engineers to design tools and systems that accelerate model development to ultimately improve predictive accuracy. Success in this role requires a strong grasp of ML fundamentals and statistics and deep knowledge of the entire modeling lifecycle - from data preparation to training and deployment to production. In this role, you will lead engineering initiatives that turn high-impact modeling needs into scalable, reusable infrastructure. This includes building a unified embeddings platform for training, serving, and managing representations at scale; streamlining feature engineering pipelines to reduce manual steps and deliver new signals quickly; developing automated continuous-learning systems that handle data refresh, retraining, evaluation, and drift monitoring with minimal manual effort; and scaling our training pipelines to support larger datasets, more complex architectures, and faster experimentation. Across all of these efforts, you will work backward from applied ML projects that meaningfully improve accuracy—using those real-world scenarios to reinvent or improve existing platform capabilities that enable ML teams across Upstart to innovate with greater speed, reliability, and impact. How You’ll Make an Impact Scale ML innovation by building tools, infrastructure, and workflows that dramatically improve the speed and reliability of model development. Work backward from modeling needs to design systems that directly unlock gains in accuracy, efficiency, and scientific productivity. Explore new algorithms and methodologies for our machine learning models and develop tooling to support them Improve the entire ML lifecycle—from data readiness and feature development through training, evaluation, serving, and monitoring. Automate and standardize operational workflows, enabling scientists to focus on high-leverage modeling and analysis rather than manual pipelines. Define the roadmap for our next generation ML Platform, balancing near-term impact with long-term architectural scalability. Collaborate cross-functionally with Data Engineering, ML Platform, Pricing, and other teams to build reliable, end-to-end ML systems. Y our work will multiply the effectiveness of every ML team at Upstart —accelerating innovation and advancing our mission to make credit more accurate, accessible, and fair. This is a high influence role suited for those who enjoy combining science innovation, with cross functional collaboration and advisory. Minimum Qualifications Strong theoretical and practical foundation in machine learning and statistics Ability to reason from first principles about model assumptions, sources of bias, uncertainty, tradeoffs, evaluation, and failure modes A deep understanding of how models work beyond the abstractions provided by common tools and frameworks , and how to apply this knowledge to production solutions 5-7+ years of hands-on experience in applied machine learning, with strong exposure to production-scale modeling efforts. Experience working in high-scale, ML-driven product environments—especially in fintech, pricing, or risk modeling. Proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, XGBoost). Ability to work autonomously and lead technical direction in ambiguous, high-impact domains. Experience collaborating with cross-functional teams including ML scientists, engineers, and product partners. Ability to bridge engineering and science teams, and influence technical strategy across disciplines. Numerically-savvy and smart with ability to operate at a fast pace Master’s degree or PhD in a quantitative discipline, or equivalent additional professional experience. Demonstrated expertise in end-to-end model development: data prep, feature engineering, training, evaluation, and deployment. Preferred Qualifications Practical experience optimizing ML workflows using CUDA/GPU acceleration. Background in feature store design, embedding architecture, or synthetic data generation for model training. Proven track record of improving model accuracy in production environments with measurable business outcomes. Familiarity with modern experimentation frameworks, hyperparameter tuning tools, and automated model selection techniques. Position location This role is available in the following locations: Remote-US Time zone requirements The team operates on the East/West coast time zones. 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 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 $220,700 — $300,000 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 Machine Learning Growth team develops models that help optimize borrower acquisition across marketing channels. The Direct Mail team focuses on causal machine learning models that predict incremental conversion and help prioritize prospects, and its scope is expanding beyond Personal Loans into Home Equity Line of Credit (HELOC), email marketing, digital, and other marketing use cases. The Role: As an Applied Scientist at Upstart, you will improve existing models and develop new approaches that expand the team’s impact across marketing channels. You will work across business-oriented analysis, machine learning research, experimentation, and production-ready modeling, partnering primarily within Machine Learning and with Growth and Marketing Platform Engineering stakeholders. How you’ll make an impact: Analyze historical model and campaign performance to identify opportunities to improve model effectiveness and marketing outcomes. Develop and evaluate machine learning models, including researching new features and model architectures, to improve prospect selection and support new marketing use cases. Design statistically rigorous experiments and model evaluations to measure causal impact, optimize campaign outcomes, and inform decisions. Navigate complex, messy datasets and build reusable data pipelines, metrics, and analytical approaches that enable efficient model development and analysis. Partner with Machine Learning, Growth, and Marketing Platform Engineering teams to translate business problems into research agendas, intermediate milestones, and production-ready solutions. Expand machine learning capabilities beyond direct mail into lifecycle, email, digital, and other emerging marketing channels. Minimum Qualifications: Master’s Degree in Mathematics, Statistics, Economics, Operations Research or a related field Experience applying statistical and machine learning methods to modeling or data science problems. Experience using Python for data analysis, data preparation, and machine learning model development. Experience with causal inference and experimental design, including statistically rigorous evaluation of model or experiment performance Preferred Qualifications: PhD in Mathematics, Statistics, Economics, Operations Research or a related field (or its equivalent) Knowledge of causal machine learning methods and modeling approaches. Ability to translate broadly scoped business problems into structured research questions, analyses, and modeling approaches. Experience working across exploratory data analysis, machine learning research, experimentation, and production model development and scaling. Ability to interpret complex experimental or modeling results and translate findings into actionable recommendations. Experience applying machine learning to marketing, customer acquisition, lifecycle, or other growth use cases. 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 or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. 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 $141,500 — $196,000 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 $130,900 — $160,000 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 Unsecured Underwriting Machine Learning team develops and improves the models that inform credit decisions for our unsecured lending products. The team conducts machine learning research, evaluates model performance, and partners closely with engineering teams to translate promising ideas into scalable model improvements. As an Applied Scientist, you will research and implement enhancements to Upstart’s core unsecured underwriting model. Your work will directly influence credit decisioning and help the team increase the pace of research while maintaining the rigor, reliability, and responsible oversight required of production underwriting models. As an Applied Scientist in the Unsecured Underwriting Machine Learning team at Upstart, you will: Research machine learning and statistical approaches that improve the predictive performance of unsecured underwriting models. Design, implement, and evaluate model enhancements using rigorous experimentation and validation methods. Analyze model performance and downstream effects to confirm that proposed changes improve decisioning reliably. Partner with various engineering teams to support technical reviews, implementation, and deployment. Translate research findings into clear recommendations, documented methodologies, and production-ready solutions. Minimum Qualifications Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field. 0–2 years of experience conducting machine learning, statistical modeling, or applied quantitative research in an academic or industry setting. Experience developing and evaluating machine learning or statistical models using Python. Demonstrated knowledge of probability, statistics, and machine learning methods. Experience designing experiments or validation analyses to assess model accuracy, reliability, or predictive performance. Preferred Qualifications PhD in a quantitative field. Knowledge of supervised learning, model evaluation, and feature engineering techniques. Experience working with large or complex datasets and translating research concepts into implemented solutions. Ability to balance research velocity with analytical rigor, model reliability, and responsible decision-making. Strong written and verbal communication skills, with the ability to clearly explain technical concepts and collaborate effectively with cross-functional teams and stakeholders from diverse backgrounds. Position location This role is available in the following locations: 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 or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. What you'll love: Competitive Compensation (base + bonus & equity) Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings Employee Stock Purchase Plan (ESPP) Life and disability insurance Generous holiday, vacation, sick and safety leave Supportive parental, family care, and military leave programs Annual wellness, technology & ergonomic reimbursement programs Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering Catered lunches + snacks & drinks when working in offices #LI-REMOTE #LI-Associate 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 $141,500 — $196,000 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 Unsecured Underwriting Machine Learning team develops and improves the models that inform credit decisions for our unsecured lending products. The team conducts machine learning research, evaluates model performance, and partners closely with engineering teams to translate promising ideas into scalable model improvements. As an Applied Scientist, you will research and implement enhancements to Upstart’s core unsecured underwriting model. Your work will directly influence credit decisioning and help the team increase the pace of research while maintaining the rigor, reliability, and responsible oversight required of production underwriting models. As an Applied Scientist in the Unsecured Underwriting Machine Learning team at Upstart, you will: Research machine learning and statistical approaches that improve the predictive performance of unsecured underwriting models. Design, implement, and evaluate model enhancements using rigorous experimentation and validation methods. Analyze model performance and downstream effects to confirm that proposed changes improve decisioning reliably. Partner with various engineering teams to support technical reviews, implementation, and deployment. Translate research findings into clear recommendations, documented methodologies, and production-ready solutions. Minimum Qualifications Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field. 0–2 years of experience conducting machine learning, statistical modeling, or applied quantitative research in an academic or industry setting. Experience developing and evaluating machine learning or statistical models using Python. Demonstrated knowledge of probability, statistics, and machine learning methods. Experience designing experiments or validation analyses to assess model accuracy, reliability, or predictive performance. Preferred Qualifications PhD in a quantitative field. Knowledge of supervised learning, model evaluation, and feature engineering techniques. Experience working with large or complex datasets and translating research concepts into implemented solutions. Ability to balance research velocity with analytical rigor, model reliability, and responsible decision-making. Strong written and verbal communication skills, with the ability to clearly explain technical concepts and collaborate effectively with cross-functional teams and stakeholders from diverse backgrounds. Position location This role is available in the following locations: 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 or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. What you'll love: Competitive Compensation (base + bonus & equity) Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings Employee Stock Purchase Plan (ESPP) Life and disability insurance Generous holiday, vacation, sick and safety leave Supportive parental, family care, and military leave programs Annual wellness, technology & ergonomic reimbursement programs Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering Catered lunches + snacks & drinks when working in offices #LI-REMOTE #LI-Associate 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 $141,500 — $196,000 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 Cloud Platform team sits within the Reliability organization and is responsible for building and operating the shared cloud infrastructure that powers all product and machine learning workloads. The team owns core platform components across Kubernetes (EKS), AWS infrastructure, service mesh, identity, and developer tooling, enabling reliability, scalability, and security across the business. As a DevOps Engineer (L4) at Upstart, you will help evolve this platform to support increasing scale and complexity. You’ll partner closely with SRE, Delivery, InfoSec, and Product/ML teams to improve reliability, developer experience, and cost efficiency across a platform used by nearly every engineering team. How you’ll make an impact Design and operate a fleet of Kubernetes (EKS) clusters across production, staging, and ephemeral environments, ensuring reliability and high availability Evolve AWS infrastructure and network architecture (VPCs, subnets, IAM, account structure) to support scalable, multi-team workloads Build and maintain infrastructure-as-code and GitOps workflows using tools such as Terraform, CDK, and ArgoCD Improve platform reliability and performance by defining and driving SLOs, analyzing incidents, and implementing systemic fixes Participate in and help improve the on-call rotation, leading incident response and post-incident reviews to drive systemic platform improvements Partner with SRE, Delivery, InfoSec, and product/ML teams to land high-impact infrastructure changes and platform standards Drive improvements in developer experience by simplifying platform usage, reducing toil, and enabling faster product and ML development Contribute to cost efficiency initiatives by optimizing resource utilization across Kubernetes and cloud infrastructure Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience) and 3+ years of professional experience 3+ years of experience operating Kubernetes in production environments, including cluster networking, storage, and RBAC Proficiency with AWS infrastructure, including VPC design, networking, and IAM Proven expertise in implementing infrastructure-as-code using tools such as Terraform or AWS CDK Experience implementing GitOps workflows using tools such as ArgoCD or similar Ability to influence technical decisions across teams and drive adoption of platform standards Preferred Qualifications Knowledge of service mesh technologies such as Istio or Envoy Experience designing or operating multi-cluster Kubernetes architectures Experience with cloud networking at scale, including ingress/egress or edge platforms (e.g., Cloudflare) Knowledge of cloud security, identity, and compliance frameworks (e.g., IAM, SOC 2, CIS benchmarks) Position location This role is available in the following locations: 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. 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-Associate 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 Cloud Platform team sits within the Reliability organization and is responsible for building and operating the shared cloud infrastructure that powers all product and machine learning workloads. The team owns core platform components across Kubernetes (EKS), AWS infrastructure, service mesh, identity, and developer tooling, enabling reliability, scalability, and security across the business. As a DevOps Engineer (L4) at Upstart, you will help evolve this platform to support increasing scale and complexity. You’ll partner closely with SRE, Delivery, InfoSec, and Product/ML teams to improve reliability, developer experience, and cost efficiency across a platform used by nearly every engineering team. How you’ll make an impact Design and operate a fleet of Kubernetes (EKS) clusters across production, staging, and ephemeral environments, ensuring reliability and high availability Evolve AWS infrastructure and network architecture (VPCs, subnets, IAM, account structure) to support scalable, multi-team workloads Build and maintain infrastructure-as-code and GitOps workflows using tools such as Terraform, CDK, and ArgoCD Improve platform reliability and performance by defining and driving SLOs, analyzing incidents, and implementing systemic fixes Participate in and help improve the on-call rotation, leading incident response and post-incident reviews to drive systemic platform improvements Partner with SRE, Delivery, InfoSec, and product/ML teams to land high-impact infrastructure changes and platform standards Drive improvements in developer experience by simplifying platform usage, reducing toil, and enabling faster product and ML development Contribute to cost efficiency initiatives by optimizing resource utilization across Kubernetes and cloud infrastructure Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience) and 3+ years of professional experience 3+ years of experience operating Kubernetes in production environments, including cluster networking, storage, and RBAC Proficiency with AWS infrastructure, including VPC design, networking, and IAM Proven expertise in implementing infrastructure-as-code using tools such as Terraform or AWS CDK Experience implementing GitOps workflows using tools such as ArgoCD or similar Ability to influence technical decisions across teams and drive adoption of platform standards Preferred Qualifications Knowledge of service mesh technologies such as Istio or Envoy Experience designing or operating multi-cluster Kubernetes architectures Experience with cloud networking at scale, including ingress/egress or edge platforms (e.g., Cloudflare) Knowledge of cloud security, identity, and compliance frameworks (e.g., IAM, SOC 2, CIS benchmarks) Position location This role is available in the following locations: 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. 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-Associate 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 is looking for a Director of Product, Machine Learning & Decisioning Platforms to help us achieve our mission of enabling effortless credit based on true risk. This role will lead the product strategy and team responsible for the platforms that power Upstart’s credit decisioning and machine learning platform capabilities. This is a highly technical, platform-focused product leadership role at the core of Upstart’s business. You will manage and develop a team of experienced product managers, set strategy across multiple interconnected product areas, and partner closely with engineering and machine learning leaders to evolve the systems underlying pricing, underwriting, model deployment, and ML innovation. The ideal candidate is a strong product leader and coach who can bring structure to complex, ambiguous problems; connect technical decisions to business and customer outcomes; and create alignment across teams. While you will remain close to the product, this role is primarily focused on setting direction, developing talent, and enabling your team to deliver high-impact results. How you’ll make an impact Lead, coach, and develop a team of product managers, setting clear priorities and raising the quality of product management across the organization. Define the product strategy and roadmap for the platforms powering Upstart’s credit decisioning and machine learning capabilities. Partner with engineering and machine learning leaders to improve model development, versioning, deployment, forecasting, experimentation, and monitoring. Evolve underwriting and decisioning systems to better connect customer information, model outputs, and business outcomes. Identify opportunities to apply machine learning across the business, validate them through focused MVPs, and build the strongest opportunities into scalable products. Create scalable processes for evaluating, onboarding, and integrating data vendors and other ML capabilities. Balance near-term execution with long-term platform investment, making thoughtful trade-offs across impact, risk, technical complexity, and speed. Build alignment across teams and ensure machine learning is incorporated into product strategy from the start. Minimum Qualifications Bachelor’s degree in a technical field or equivalent practical experience. 8+ years of product management experience, including experience leading technical or platform products. Experience managing and developing product managers, ideally across multiple interconnected teams. Strong technical fluency and experience partnering with engineering, machine learning, and data science teams. Demonstrated ability to set strategy, navigate ambiguity, and deliver results in a fast-paced environment. Strong analytical, organizational, communication, and problem-solving skills. Ability to connect technical and product decisions to business outcomes, particularly in credit, lending, or financial services. A track record of building strong teams and raising the quality of product management practices. Preferred Qualifications Experience as a data scientist, machine learning engineer, or other machine learning individual contributor. Experience with model lifecycle management, decisioning systems, experimentation, optimization, or real-time inference platforms. Experience building or scaling online financial products, particularly in consumer lending or credit. Position location This role is available in the following locations: Remote Time zone requirements The team operates on the East/West coast time zones. 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-Director 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 $216,100 — $299,000 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 $212,500 — $270,000 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 is looking for a Director of Product, Machine Learning & Decisioning Platforms to help us achieve our mission of enabling effortless credit based on true risk. This role will lead the product strategy and team responsible for the platforms that power Upstart’s credit decisioning and machine learning platform capabilities. This is a highly technical, platform-focused product leadership role at the core of Upstart’s business. You will manage and develop a team of experienced product managers, set strategy across multiple interconnected product areas, and partner closely with engineering and machine learning leaders to evolve the systems underlying pricing, underwriting, model deployment, and ML innovation. The ideal candidate is a strong product leader and coach who can bring structure to complex, ambiguous problems; connect technical decisions to business and customer outcomes; and create alignment across teams. While you will remain close to the product, this role is primarily focused on setting direction, developing talent, and enabling your team to deliver high-impact results. How you’ll make an impact Lead, coach, and develop a team of product managers, setting clear priorities and raising the quality of product management across the organization. Define the product strategy and roadmap for the platforms powering Upstart’s credit decisioning and machine learning capabilities. Partner with engineering and machine learning leaders to improve model development, versioning, deployment, forecasting, experimentation, and monitoring. Evolve underwriting and decisioning systems to better connect customer information, model outputs, and business outcomes. Identify opportunities to apply machine learning across the business, validate them through focused MVPs, and build the strongest opportunities into scalable products. Create scalable processes for evaluating, onboarding, and integrating data vendors and other ML capabilities. Balance near-term execution with long-term platform investment, making thoughtful trade-offs across impact, risk, technical complexity, and speed. Build alignment across teams and ensure machine learning is incorporated into product strategy from the start. Minimum Qualifications Bachelor’s degree in a technical field or equivalent practical experience. 8+ years of product management experience, including experience leading technical or platform products. Experience managing and developing product managers, ideally across multiple interconnected teams. Strong technical fluency and experience partnering with engineering, machine learning, and data science teams. Demonstrated ability to set strategy, navigate ambiguity, and deliver results in a fast-paced environment. Strong analytical, organizational, communication, and problem-solving skills. Ability to connect technical and product decisions to business outcomes, particularly in credit, lending, or financial services. A track record of building strong teams and raising the quality of product management practices. Preferred Qualifications Experience as a data scientist, machine learning engineer, or other machine learning individual contributor. Experience with model lifecycle management, decisioning systems, experimentation, optimization, or real-time inference platforms. Experience building or scaling online financial products, particularly in consumer lending or credit. Position location This role is available in the following locations: Remote Time zone requirements The team operates on the East/West coast time zones. 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-Director 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 $216,100 — $299,000 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 $212,500 — $270,000 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