Platform Manager - Payments Risk Detections

Airbnb · USA

Company

Airbnb

Location

USA

Type

Full Time

Job Description

The Community You Will Join:

The Platform Team is at the center of all of the activity on our team. We play the role of conductor enhancing our engineers designers risk operations and data scientists to build great product experiences. Our Payments Risk Platform Managers (PM) own and lead outcomes related to foundation growth and empowerment. This means our PMs set the vision business and product strategy the roadmap and execute on the plans that are developed.

The Difference You Will Make:

This role is in the Payments Risk and Compliance domain. The PM Payments Risk Signals and Detections role will define the strategy and product roadmap for enabling world class Risk detection capabilities ensuring Airbnb is able to protect and grow our community. Youโ€™ll bring the latest thinking from the world of Machine Learning and Generative AI to shape the future of fraud detection & dispute adjudication at Airbnb. Youโ€™ll partner with functional experts in other business units across Airbnb to create a cohesive strategy to develop Risk signals and create Machine learning models as platform capabilities. You will work with a cross functional team to bring capabilities to market and scale globally.

A Typical Day:

  • Align the Machine Learning roadmap with Payments Risk Payments and overall Airbnb priorities.

  • Set business and platform objectives for each project ensuring timely delivery and value.

  • Establish a framework to test new models analyze performance and iterate quickly based on results.

  • Collaborate with the risk team and stakeholders to integrate ML solutions and identify new areas for ML application.

  • Expand the use of ML solutions in payments risk including fraud management and dispute resolution while leveraging Gen AI to address emerging threats.

Your Expertise:

  • 10+ years building payments Payments Risk or risk related products in a product management role

  • Prior experience working with Payments Risk including Machine Learning Transaction Risk. (Fintech experience strongly preferred)

  • A subject matter expert on payments risk detection Machine Learning and AI providing guidance and support to internal teams and partners.

  • Experience leading complex projects leveraging ML operations and signals from external vendors

  • Technical chops with experience as an engineer data scientist analyst or operations

  • Experience integrating Gen AI as solution and delivering business value

  • Thrives in a startup environment: loves dealing with fast pace changing needs and limited resources.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites as agreed to with your manager. While the position is Remote Eligible you must live in a state where Airbnb Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement and allow us to attract creatively-led people and to develop the best products services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application please contact us at: [email protected] . Please include your full name the role youโ€™re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Apply Now

Date Posted

08/20/2024

Views

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