Machine Learning Product Manager

PayPal
San Jose, CA Full Time
POSTED ON 12/18/2022 CLOSED ON 12/29/2022

What are the responsibilities and job description for the Machine Learning Product Manager position at PayPal?

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

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Job Description Summary:

Global Data Science team is looking for experienced Technical Product Manager for our Consumer ML team with passion to solve complex problems to drive better Consumer Product & Marketing experience.

This role requires strategic thinking and hands-on execution in partnership with cross-functional teams. This will involve setting the course for your own team's ML scientists as well as influencing across PayPal Product & Marketing Organization to make sure we ideate, build & integrate AI/ML into Consumer Lifecycle to enhance user experience and drive significant impact through personalization.

Job Description:

Your way to impact

As a Senior Technical Product Manager, you will partner with cross-functional teams to define the multi-year roadmap to define product strategy and build state-of-the-art Machine Learning solutions.

Manage end-to-end execution and identify new opportunities, influence partners, and build strategy to best integrate AI/ML into Consumer's Product & Marketing Lifecycle to drive significant impact to key business metrics across all markets. Drive personalization strategies for a significant portfolio of consumer products in PayPal.

Your day to day

As a Senior Technical Product Manager, you will be responsible for:

* Lead business and technical discussion to understand business needs and formulate solution design and implementation.
* Capture key product & marketing requirements, define solution approach and develop high level design document.
* Manage expectations within and across teams by effectively prioritizing resources, negotiate on product/project needs.
* Industry research to learn new developments in the market. Collaborate and influence stakeholders in developing term ML based product strategy.
* Expertise in SQL, hands on with data analysis to develop insights to drive adoption.
* Good understanding of Data Analytics, Big Data Platform and Machine Learning algorithms.
* Good understanding of experimentation, tracking, measurement, ability to define and launch product & marketing campaign in partnership with marketers.
* Monitor KPI metrics to measure performance and report on overall health of the deliverables to leadership.
* Drive initiatives with Data Engineering to build data-marts necessary for future growth of ML solutions in the domain.

What do you need to bring

* Master's degree or equivalent experience in a quantitative field (Product Management, Analytics, Engineering etc.) with 10 yrs. of relevant industry experience or MBA/MS with 8 yrs. of relevant experience.
* Familiar with one or more query languages such as SQL, Big Query, Hive etc.
* Familiarity in machine learning and its applications.
* GCP/Hadoop and big data experience - an advantage
* Experience leading ML projects and great track record delivering solutions with attention to detail and end to end execution.
* Experience in leading Data Mart build efforts that facilitates and fuels ML solutions.
* Leverage indirect influence with stakeholders and others in the organization to drive change
* Fluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insights

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Subsidiary:

PayPal

Travel Percent:

0

Our Benefits:

At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit [ Link removed ] - Click here to apply to Machine Learning Product Manager

Who We Are:

Click Here to learn more about our culture and community.

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [ Email address blocked ] - Click here to apply to Machine Learning Product Manager.

As part of PayPal's commitment to employees' health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

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