Learning manager job description

This role will drive an essential part of the Learning Enterprise mission to create stackable pathways to career mobility and degree attainment. You will support the delivery of a group of discipline-specific courses (ENG 101 and ENG 102) at scale, thus providing thousands of learners with foundational learning in this critical discipline area that will enable them to find a pathway to higher education and economic mobility.

As a key member of the ULC academic infrastructure, reporting to the Executive Director of ULCs operationally, and the Faculty of Record in regard to course objectives and content, you will:
* support high-quality instruction at scale, introducing thousands of learners to the discipline;
* be responsible for managing affiliated personnel, graders, teaching assistants, course facilitators and learning success coaches who support your group of discipline-specific courses ensuring the best quality learner experience;
* partner with the ULC instructional design team and student success team to design, revise and deliver the courses effectively and improve them for greater learner success over time;
* work with your Faculty of Record (or if qualified and approved by the college unit, serve as faculty of record), engaging them as subject matter experts in periodic reviews and revisions;
* evaluate and ensure quality control for all instructional content in the courses;
* engage in strategy discussions for the marketing and growth of the courses;
* review course-level and learner level data and collaborate with cross-functional team to continuously improve the courses to maximize learner success; and
* partner with industry and organizations to create career pipelines for learners in your pathways.

Minimum Qualifications

Bachelor's degree in Information Technology, Computer Information Systems, or related field AND five years of related experience two (2) of which include higher education online course development and design associated with learning programs and also includes three years of supervisory experience; OR, Any equivalent combination of education and/or experience from which comparable knowledge, skills and abilities have been achieved.

As a Machine Learning Manager within the Risk Machine Learning team, you oversee projects that enable a software driven, machine learning centric view on all money movement and every transaction within the rapidly growing Square ecosystem. This touches on actively maximizing the trade off of revenue growth and risk using artificial intelligence. The machine learning driven software that we release interacts with every transaction and money movement within our seller ecosystem - a profound degree of scale and impact. Such machine learning techniques touch on reinforcement learning, decision theory, deep learning sequence modeling, and optimization theory. In addition, we also strive to provide our sellers, through seller facing products, with transparency around why our machine learning made a particular decision. This touches on algorithms in the relatively new space of explainable artificial intelligence.

Our algorithms derive value from our unique and rich data from our entire product portfolio within our rapidly growing seller ecosystem. We partner with business, product, operations and engineering teams to drive optimal decision making systems using sophisticated modeling and machine learning. We're a passionate team of entrepreneurs, scientists, and engineers who are shipping machine learning software that actively actively manages Square's view on each transaction as it pertains to our revenue growth and risk.
You Will:

Provide technical and functional guidance to the team of ML Modelers to build and deploy machine learning/deep learning models that detect fraud activity in real time across our Seller's ecosystem consisting of payments, banking and debit card products.

Work with engineers and stakeholders to build a team roadmap and coordinate many large, cross functional projects.

Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and improve new products, features, policies, and models

Define ML best practices and ensure the team follows them

Define and guide the ML strategy to help the broader Fraud organization meet their OKR's

Drive efficiencies through automation and optimization

Santa Clara Valley (Cupertino),California,United States

Software and Services

+ 3+ years experience hiring & leading a team of machine learning / software development engineers

+ Experience developing enterprise production software

+ A deep understanding of software development lifecycle, methodologies, and best practices

+ Attention to detail and a strong passion for quality - experience architecting, designing and developing high quality customer-facing software

+ Ability to lead various aspects of the software development process, including user experience, system architecture, APIs and project schedules

+ A demonstrable commitment to continuous self-improvement - a leader by example.

+ Experience working with and leading multi-functional technical teams is highly desirable

+ Willing to take ownership and set direction, especially in gray areas

+ Excellent collaborative skills including written and verbal communication

**Description**

As a manager in the Proactive Experience team, you will support the growth and well-being of your direct reports, create a strong team culture and shape the vision and roadmap of the Proactive team. You will own, execute and deliver significant features and initiatives to enable new experiences. You are a trustworthy and capable manager that can recruit great engineers to work on your team, develop them appropriately, and guide them to work together and deliver amazing products for our customers. You are dedicated to our shared goal of building a culturally diverse and pluralistic team that reflects the multicultural variety of our customers. You will track project status and deliverables, communicate status and progress clearly to leadership and cross-functional partners and balance high quality product delivery under tight schedules while fostering long term innovation. You will communicate and drive decisions on various aspects such as user experience, technical design, privacy and security.

**Education & Experience**

Bachelor's degree, MS, and/or equivalent experience.

**Additional Requirements**

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