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Manager Recommender Systems information

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$46K

$112K

$197K

How much do manager recommender systems jobs pay per year?

As of Jul 4, 2026, the average yearly pay for manager recommender systems in the United States is $111,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Recommender Systems vs Data Scientist?

AspectManager Recommender SystemsData Scientist
CredentialsAdvanced degree in CS, ML, or related field; experience with recommender algorithmsDegree in CS, Statistics, or related; strong programming and analytical skills
Work EnvironmentLeading teams, overseeing recommender system projects, collaborating with product teamsAnalyzing data, building models, interpreting results across various domains
Industry UsageTech companies, e-commerce, streaming services

While both roles require strong technical skills and data expertise, Manager Recommender Systems focus on leading teams and managing recommender system projects, whereas Data Scientists primarily analyze data and develop models across diverse applications.

What are the key skills and qualifications needed to thrive as a Manager, Recommender Systems, and why are they important?

To thrive as a Manager, Recommender Systems, you need a solid background in computer science, machine learning, and data analytics, typically supported by a relevant degree and experience in building recommendation algorithms. Familiarity with programming languages like Python or Scala, machine learning frameworks, and big data platforms such as Spark or Hadoop is essential, along with knowledge of A/B testing and model evaluation techniques. Strong leadership, project management, and cross-functional communication skills distinguish top performers in this role. These skills ensure effective team guidance, robust system development, and alignment of technical solutions with business goals in a fast-evolving digital landscape.

What are Manager Recommender Systems?

A Manager of Recommender Systems is a professional who oversees the development and deployment of algorithms that suggest products, services, or content to users based on their preferences and behavior. They lead teams of data scientists, engineers, and analysts to design, implement, and optimize recommendation engines. Their role involves strategic planning, project management, and ensuring that the recommender systems align with business goals while delivering a personalized user experience.

How does a Manager of Recommender Systems typically collaborate with data scientists and engineers to deliver effective recommendation solutions?

As a Manager of Recommender Systems, you will frequently coordinate cross-functional efforts between data scientists, machine learning engineers, and product teams. Your role involves setting project priorities, facilitating communication to ensure clear understanding of objectives, and removing roadblocks that may impede progress. You’ll also oversee the translation of business requirements into technical solutions, review algorithm performance, and guide the team in iterative model improvements. Regular collaboration ensures that the recommendations delivered align with both user needs and business goals.
More about Manager Recommender Systems jobs
What cities are hiring for Manager Recommender Systems jobs? Cities with the most Manager Recommender Systems job openings:
What are the most commonly searched types of Recommender Systems jobs? The most popular types of Recommender Systems jobs are:
What states have the most Manager Recommender Systems jobs? States with the most job openings for Manager Recommender Systems jobs include:
What job categories do people searching Manager Recommender Systems jobs look for? The top searched job categories for Manager Recommender Systems jobs are:
Manager Recommender Systems jobs near you
Infographic showing various Manager Recommender Systems job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $111,995 per year, or $53.8 per hour.
Senior Manager, Machine Learning Engineering

Senior Manager, Machine Learning Engineering

GoFundMe

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago

Job description

Want to help us help others? We're hiring!
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.
The Job
  • 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.

You
  • 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.

Why you'll love it here
  • 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 live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!
GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
The total annual salary for this full-time position is $267,000 - $401,000 + equity + benefits. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.
If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
Learn more about GoFundMe:
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.

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