# Manager, Machine Learning Engineering at GoFundMe

- Company: GoFundMe
- What the company does: Backed by Accel, Greylock and Norwest.
- Company website: http://www.gofundme.com
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco, CA
- Work setup: On-site
- Pay: $219K to $329K base salary per year (USD)
- Posted: 2026-08-27
- Apply by: 2026-10-11
- Apply: https://job-boards.greenhouse.io/gofundme/jobs/8157970
- Page: https://www.1752.vc/careers/jobs/gofundme-manager-machine-learning-engineering/

## About the role

Join GoFundMe as our next Manager, Machine Learning Engineering (ML and AI Operations). In this role, you will lead the team responsible for the infrastructure, pipelines, and operational rigor that keep GoFundMe's machine learning and AI systems reliable, scalable, and safe in production.

## What they're looking for

- Own the reliability, scalability, and operational health of ML/AI production systems across GoFundMe, including training pipelines, feature stores, model serving, and monitoring/observability infrastructure
- Lead, hire, and grow a team of ML/AI operations engineers, setting technical direction through design reviews, architecture decisions, and shared best practices for production ML and AI systems
- Partner with data science and ML engineering teams to streamline the path from model development to production deployment, including CI/CD for ML, model packaging, versioning, and rollback strategies
- Establish ML operational excellence org-wide by driving standards for model observability (latency, errors, drift, calibration, business KPI deltas), automated retraining triggers, and incident response playbooks
- Build and mature on-call processes, SLOs/SLAs, and postmortem practices for ML/AI systems, treating model incidents with the same discipline as production infrastructure incidents
- Drive operational strategy for GoFundMe's generative AI systems alongside traditional ML, balancing innovation velocity with safety, compliance, cost, and reliability

Tags: Data