Senior Manager, Machine Learning Engineering

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes – for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join GoFundMe as our next Senior Manager, Machine Learning Engineering in the Applied Science organization, where you will lead a talented and motivated team to deliver high-impact solutions for our users and our business. In this role, you will design, build, and deploy innovative services and applications that leverage state-of-the-art machine learning and AI techniques from generative AI, personalization and recommender systems, search and retrieval systems, taxonomy and classification systems, and more. This role requires strong leadership and end-to-end execution at both strategic and tactical levels, supported by broad and deep expertise in machine learning, AI, and secure software development.

Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 3x a week.

• Build and manage a world-class team of engineers and scientists who specialize in the design and development of production applications that use machine learning and/or AI.
• Translate product and business needs into scalable ML solutions with clear and measurable outcomes.
• Look around the corner; identify opportunities to develop and deliver new technology that will delight customers, and advocate for these projects.
• Provide technical leadership on algorithms, architectures, and tooling; set high standards, evangelize best practices, and influence decisions.
• Drive the end-to-end ML lifecycle, including data pipelines, feature engineering, training, evaluation, A/B testing and experimentation, and production deployment.
• Employ robust ML Ops practices: CI/CD, model serving, monitoring, alerting, and model/version governance.
• Lead initiatives to streamline application development workflows, increase team velocity, and maximize business impact.
• Contribute to strategic planning and the development of the Applied Science roadmap.
• Coach and mentor engineers and scientists, fostering a culture of collaboration, continuous improvement, and engineering excellence within the team.
• Champion responsible AI, privacy, and compliance in data use, modeling, and user experiences.

• Have 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields, emphasizing secure, large-scale, distributed system design and AI/ML pipeline and feature development.
• Have 3+ years of experience managing teams of machine learning engineers, data scientists, data engineers, software engineers, and related roles.
• Possess extensive experience designing, developing, and operating scalable backend systems and applying secure software engineering best practices.
• Have deep expertise developing search and retrieval systems, personalization and recommender systems, ontologies and classification systems, and AI agents.
• Demonstrate strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design.
• Possess experience employing robust CI/CD pipelines, automated testing (unit and integration), automated model performance evaluation, and deployment practices.
• Exhibit strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture.
• Have a track record of innovation, cross-functional collaboration, and hiring top-tier talent.
• Are an excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders.
• Have a Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred).
• Are proficient in Python and provisioning cloud-based infrastructure via code (AWS preferred).
• Sense of humor is optional but appreciated.

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT), as defined by New York City Local Law 144. As part of the hiring process, we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel, all final hiring decisions are made by GoFundMe employees.

We began using Metaview on March 10, 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewed here. The tool evaluates your professional experience, technical skills, education, and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance with GoFundMe’s Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact accommodationrequests@gofundme.com.