ZipRecruiter

Log In

1

Manager Recommender Systems Jobs (NOW HIRING)

Kohl's

Attract, retain, develop, manage, coach and assess data scientists in a balanced team * Work with ... Build and optimize recommendation and ranking systems balancing relevance, discovery, and business ...

Sun, Inc.

Systems Manager

Southfield, MI

Job Summary The Systems Manager is responsible for overseeing and managing the company's enterprise ... Stays abreast of emerging tech trends and best practices, recommend system enhancements, and drive ...

Sun Communities, Inc.

Systems Manager

Southfield, MI · On-site

Job Summary The Systems Manager is responsible for overseeing and managing the company's enterprise ... Stays abreast of emerging tech trends and best practices, recommend system enhancements, and drive ...

Sun RV Resorts

Systems Manager

Southfield, MI

Job Summary The Systems Manager is responsible for overseeing and managing the company's enterprise ... Stays abreast of emerging tech trends and best practices, recommend system enhancements, and drive ...

Sun, Inc.

Systems Manager

Southfield, MI · On-site

The Systems Manager is responsible for overseeing and managing the company's enterprise-level ... Stays abreast of emerging tech trends and best practices, recommend system enhancements, and drive ...

Sun, Inc.

The Systems Manager is responsible for overseeing and managing the company's enterprise-level ... Stays abreast of emerging tech trends and best practices, recommend system enhancements, and drive ...

previous pagenext page

Showing results 21-40

All JobsRecommender Systems JobsManager Recommender Systems Jobs

Manager Recommender Systems information

See salary details

$46K

$112K

$197K

How much do manager recommender systems jobs pay per year?

As of Aug 16, 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?

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 is a 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 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $111,995 per year, or $53.8 per hour.

TLM (Tech Lead Manager) - Recommendation Systems (Homepage)

Roblox

San Mateo, CA • On-site

Full-time

Posted 4 days ago

Job description

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators.
At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
Engineering Manager, Home Infrastructure
The Home Infrastructure team builds the mission-critical backend and data systems that power Roblox's Homepage and Experience Details Page, two of the highest-traffic surfaces on Roblox. These surfaces reach the vast majority of Roblox's daily active users and are core drivers of discovery, engagement, retention, and platform growth.
We are a full-stack product infrastructure team responsible for content distribution across Roblox. Our systems support multiple modes of user interaction, including exploratory browsing, directed discovery, and personalized content recommendations across the many types of content that make up the Roblox ecosystem.
This team sits at the intersection of large-scale distributed systems, machine learning-powered personalization, data infrastructure, and product experimentation. We partner closely with Machine Learning, Data Science, Product, Design, Frontend, Ads, Marketplace, Virtual Economy, and other teams across Roblox to build the platforms that help users find the most relevant and engaging content.
As Engineering Manager for Home Infrastructure, you will lead a team of Backend and Data Engineers responsible for the end-to-end infrastructure powering Roblox's most important discovery surfaces. You will guide the team's technical strategy, grow engineering talent, and drive execution on high-impact systems that operate at massive scale.
You Will
  • Lead and grow a high-performing team of Backend and Data Engineers responsible for the infrastructure powering Roblox's Homepage and other Discovery product surfaces.
  • Define and execute the technical roadmap for large-scale content discovery, personalization, ranking, data, and backend-serving systems.
  • Drive high-impact initiatives such as Personalization-as-a-Platform, full-page personalization, real-time user signal infrastructure, and ranking observability.
  • Partner closely with Machine Learning, Data Science, Product, Design, Frontend, Ads, Marketplace, Economy, Search, and Core Infrastructure teams to deliver measurable product impact.
  • Build a strong engineering culture focused on technical excellence, reliability, experimentation, operational health, and talent development.

You Have
  • 3+ years of experience as an Engineering Manager or Tech Lead Manager, ideally leading backend, data, ranking, recommendation, search, ads, or personalization teams.
  • Strong technical depth in distributed systems, service-oriented architecture, high-throughput backend platforms, data infrastructure, or ML-powered serving systems.
  • Experience leading teams that build and operate large-scale, consumer-facing production systems with high reliability and performance requirements.
  • A track record of delivering complex, ambiguous, cross-functional technical initiatives with measurable product or business impact.
  • Experience growing engineers, developing technical leaders, and building healthy, high-performing engineering teams.

You Are
  • Technical and strategic: Able to guide architecture, roadmap, and execution across complex backend, data, and personalization systems.
  • Impact-oriented: Focused on building systems that improve user experience, creator success, and Roblox's long-term growth.
  • Data-driven: Comfortable using metrics, experimentation, and evidence to guide product and engineering decisions.
  • Collaborative: Effective at partnering across Product, ML, Data Science, Design, and engineering teams to align priorities and drive outcomes.
  • A talent multiplier: Invested in coaching engineers, raising the engineering bar, and creating an environment where the team can do its best work.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Annual Salary Range
$295,250-$345,040 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Apply