Machine Learning Manager, Advanced Insights and Modeling

Cash App
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Job Description

We're looking for a leader who blends technical depth, business intuition, and a passion for building scalable, transparent ML systems that empower decision-makers; In partnership with the Guidance organization, you'll bring automation, interpretability, and strategic foresight to forecasting and business planning—building the AI systems and tools that help teams across Cash App see what's coming next and act on it with confidence.

You Will

  • Lead, mentor, and grow a team of applied ML engineers and modelers focused on forecasting and GTM models.
  • Build AI-driven tools and interfaces that make models explainable and accessible for decision makers in Finance, Marketing, and Product.
  • Collaborate across Finance, Sales, Marketing, and other go-to-market teams to refine growth strategies and support critical investment decisions with data-driven insights.
  • Establish strong engineering practices across model development, evaluation, deployment, and monitoring.
  • Apply both classical ML techniques (e.g., XGBoost, linear models) and modern Gen-AI tools to build end-to-end ML solutions that power Block's decision making engine.
  • Foster a team culture grounded in curiosity and measurable impact.

You Have

  • 8+ years of experience in software or ML engineering, including 2+ years of technical leadership or people management experience.
  • Degree in Computer Science, Statistics, Economics, Data Science, Physics or a related technical field.
  • Experience delivering production-grade ML systems—preferably in forecasting, revenue, or growth modeling.
  • Experience with end-to-end ML systems, from data pipelines and model training to deployment and monitoring.
  • Experience building or integrating explainable AI tools (e.g., feature attribution, interpretability frameworks, visualization systems).
  • A passion for mentoring, learning, and building cohesive teams.
  • Experience with agentic AI concepts and tools for workflow automation (e.g., MCP).
  • [Bonus] Experience in forecasting, planning, or financial modeling within fintech, consumer, or marketplace domains.

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.

Zone A:

$228,700—$343,100 USD

Zone B:

$217,300—$325,900 USD

Zone C:

$205,900—$308,900 USD

Zone D:

$194,500—$291,700 USD

Use of AI in Our Hiring Process

We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.

Contact us here with hiring practice or data usage questions.

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.

Company Info.

Cash App

Cash App is a mobile payment service developed by Square, Inc. It allows users to send and receive money, as well as buy and sell Bitcoin and stocks. Cash App was originally launched in 2013 as a peer-to-peer payment app called Square Cash, but it has since expanded to include more features.

  • Industry
    Financial services,FinTech
  • No. of Employees
    2,500
  • Location
    New York, NY, USA
  • Website
  • Jobs Posted

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Cash App is currently hiring Machine Learning Manager Jobs in San Francisco, CA, USA with average base salary of $228,700 - $343,100 / Year.

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