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Credit Karma

Credit Karma

www.creditkarma.com

2 Jobs

2,005 Employees

About the Company

Credit Karma is focused on championing financial progress for more than 130 million members in the U.S., Canada and U.K. While we're best known for pioneering free credit scores, our members turn to us for resources as they work toward their financial goals. This includes tools for credit and identity monitoring, credit card recommendations, shopping for loans (car, home and personal), and growing their savings* -- all for free. We've grown significantly through the years, adding more than 70 million members in the last five alone. We currently have more than 1,300 employees spread across offices in San Francisco, Charlotte, Los Angeles, Leeds, London and one coming soon to Oakland.

Disrupting the financial industry is not an easy task. That's why we know it's one worth doing. Our core values of helpfulness, ownership, progress and empathy guide our work and our relationships.

Championing financial progress for everyone is a big mission that requires passionate people working together to make a difference in the world. If you're up for the task, we'd love to have you on our team. Check out our open positions: https://www.creditkarma.com/careers.

*Banking services provided by MVB Bank, Inc., Member FDIC

Listed Jobs

Company background Company brand
Company Name
Credit Karma
Job Title
Director, People Operations
Job Description
**Job title:** Director, People Operations **Role Summary:** Provide strategic leadership and operational oversight for the People Operations function across technology, analytics, programs, workforce, and immigration. Align the function with organizational goals, drive data‑driven decision making, ensure compliance and scalability, and serve as a trusted advisor to senior leadership. **Expectations:** Lead and develop a high‑performing leadership team; set vision and roadmap for People Ops; prioritize and execute technology initiatives; leverage analytics for strategy; deliver operational excellence; manage compliance and risk; build cross‑functional partnerships; influence senior executives. **Key Responsibilities:** - Lead and mentor five functional leaders (People Technology, People Analytics, Programs & Governance, Contingent Workforce, Immigration). - Define and execute the strategic vision and roadmap for People Operations. - Manage the People Technology portfolio, partnering with HRIS and stakeholders on initiatives such as Workday onboarding/offboarding automation and Betterworks enhancements. - Champion data‑driven decision making; develop dashboards, reports, and insights with the People Analytics team. - Drive operational excellence and scalability across budgeting, vendor management, contingent workforce programs, and HR service delivery models. - Ensure enterprise‑wide compliance and risk mitigation for people processes, including SOX/FTC audits and immigration compliance. - Act as a key member of the People Leadership Team, advising on organizational design, workforce planning, and operational strategy. - Build and maintain strong cross‑functional partnerships with HRIS, Finance, Legal, and external partners to execute complex initiatives. **Required Skills:** - 10+ years progressive experience in People Operations, HR Technology, or related domain. - Minimum 5 years formal leadership of other leaders. - Proven success leading People Ops through significant change. - Proficiency with analytics and visualization tools (e.g., Visier, Power BI, Tableau) and advanced Google Workspace (Google Sheets, data modeling, dashboards). - Strong HR technology knowledge, preferably Workday, and understanding of implementation lifecycles. - Deep knowledge of U.S. employment laws, compliance, and SOX/FTC audit requirements. - Experience in budgeting, vendor management, and scalable service delivery. - Excellent communication and influencing skills; ability to build credibility with senior executives. - Systems‑thinking mindset and adaptability to ambiguity. **Required Education & Certifications:** - Bachelor’s degree in Human Resources, Business Administration, or a related field.
Charlotte, United states
On site
Senior
29-09-2025
Company background Company brand
Company Name
Credit Karma
Job Title
Senior Data Scientist
Job Description
Job Title: Senior Data Scientist Role Summary: Lead data science initiatives to develop AI-powered solutions for financial products. Collaborate cross‑functionally with engineering, product, marketing, finance, and analytics teams to identify high‑impact opportunities, accelerate revenue and engagement, and deliver personalized, data‑driven recommendations to members. Drive research and implementation of cutting‑edge techniques such as GenAI, deep learning, recommender systems, and advanced statistical modeling. Expectations: - Partner with stakeholders to define business metrics and design experiments, providing statistical expertise. - Translate complex technical concepts into clear business insights for product and executive leadership. - Represent the data science team in internal and external forums, acting as an evangelist for the organization. - Maintain ownership of large‑scale machine learning pipelines, ensuring scalability, reliability, and ethical considerations. Key Responsibilities: - Identify and prioritize high‑impact data science opportunities across the product portfolio. - Design and deploy advanced predictive models for targeting, recommendation, personalization, and monetization. - Engineer features from user behavior and profile data to enhance model performance. - Conduct experimentation and A/B testing, establishing robust statistical baselines. - Collaborate with AI infrastructure teams to scale models, including generative AI solutions. - Mentor and guide junior data scientists, fostering a culture of innovation and continuous improvement. Required Skills: - 5+ years of industry experience in data science/ML, preferably in high‑growth consumer internet environments. - Deep statistical expertise (e.g., mixed‑effects models, time series, matrix factorization, collaborative filtering). - Proficiency in Python or R, SQL, and large‑scale data processing tools. - Experience with deep neural networks, the transformer architecture, or similar advanced modeling techniques. - Strong experiment design and hypothesis testing skills. - Excellent communication and stakeholder management abilities. Required Education & Certifications: - Master’s degree in Computer Science, Mathematics, Statistics, Physics, or a closely related quantitative field.
Oakland, United states
Hybrid
Senior
23-11-2025