Senior Manager, Analytics Engineering
Senior Manager, Analytics Engineering
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Job Description
About Upstart
Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstarts AI marketplace Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races ages and genders while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly with zero documentation to upload.
Upstart is a digital-first company which means that most Upstarters live and work anywhere in the United States. However we also have offices in San Mateo California; Columbus Ohio; and Austin Texas.
Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart wed love to hear from you!
The Team
Our Analytics Engineering team plays a critical role in Upstarts mission by transforming raw data into trustworthy well-modeled and scalable foundations that power decisions across the company. Were seeking a Senior Manager to lead a team of Analytics Engineers who build and maintain the data infrastructure that fuels product innovation operational excellence and strategic insight.
Youll manage a team of high-performing engineers and be responsible for the technical direction team growth and impact of Analytics Engineering across multiple domains. Youll partner closely with Data Analysts Product Managers and Software Engineers to scale our data capabilities and ensure Upstart makes decisions grounded in high-quality reliable data.
How youll make an impact:
- Lead and Scale Team: Lead and grow a high-performing team of Analytics Engineers guiding them across technical execution career development and impact delivery.
- Set Technical Vision: Define and execute a strategic roadmap for Analytics Engineering shaping architecture and modeling patterns that support trusted scalable data assets used across domains.
- Enable Product and Business Impact: Ensure delivery of high-quality data pipelines models and tools that improve operational efficiency enhance decision-making and support product growth.
- Foster Cross-Functional Partnerships: Collaborate with leaders in Analytics Product Engineering Machine Learning and Finance to align on priorities manage dependencies and influence roadmaps.
- Uphold and Elevate Standards: Establish and enforce best practices in engineering testing documentation observability and stakeholder communication. Lead by example in code and technical reviews.
What were looking for:
- Minimum requirements:
- 8 years of experience in Data Engineering Analytics Engineering or Business Intelligence with at least 3 years in people management.
- Strong technical background in SQL and dbt with working knowledge of Airflow cloud data warehouses (e.g. Databricks) and CI/CD practices.
- Experience designing data models pipelines and frameworks that support scalability and performance.
- Proven ability to lead project execution and drive outcomes across ambiguous cross-functional environments.
- Excellent communication and stakeholder management skills.
- Track record of developing engineers setting clear expectations and calibrating performance against defined competencies.
- Preferred qualifications:
- Experience in high-growth consumer-tech or fintech environments.
- Advanced degree in a quantitative or technical field (e.g. Computer Science Math Engineering).
- Strong intuition for business impact and the role data plays in accelerating outcomes.
- Familiarity with upstream/downstream systems (e.g. APIs product telemetry ML workflows) and how analytics fits into broader data ecosystems.
Position Location -This role is available in the following locations: Remote San Mateo Columbus Austin
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.
What youll 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 $4500 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-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 locationwith 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).
Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures backgrounds perspectives and experiences and know that we can only become better together.
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
Senior Manager
Employment Type
Full Time
Key Skills
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