# Senior Engineering Manager - Machine Learning Data Enablement at Upstart

- Company: Upstart
- What the company does: Explore lending solutions through Upstart, including personal loans, debt consolidation, short-term relief, Cash Line, and HELOC. Check your rate today! Backed by Khosla, Kleiner Perkins and NEA.
- Company website: https://www.upstart.com/
- Type: Startups (AI role)
- Level: Senior
- Location: United States | Remote
- Work setup: Remote
- Posted: 2026-09-22
- Apply by: 2026-11-06
- Apply: https://careers.upstart.com/jobs?gh_jid=8224520
- Page: https://www.1752.vc/careers/jobs/upstart-senior-engineering-manager-machine-learning-data-enablement/

## About the role

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.

## What they're looking for

- 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

Tags: Engineering Department