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SoFi

Product Manager, AI & Risk Data Solutions

Sorry, this job was removed at 12:10 a.m. (PST) on Wednesday, Jul 16, 2025
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Remote or Hybrid
Hiring Remotely in United States
Easy Apply
Remote or Hybrid
Hiring Remotely in United States

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Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The Role

We’re seeking a Risk Data AI/ML Product Manager to lead the development of advanced data-driven solutions across SoFi’s First Line of Defense Risk Data. This includes domains like Business Risks & Controls, Credit, Collections, and Fraud. As a strategic bridge between engineering, data, and business stakeholders, you’ll drive innovation through AI, ML, and automation to enhance decision-making, streamline processes, and improve risk outcomes.

What You’ll DoProduct Strategy & Vision
  • Develop and execute the roadmap for AI/ML and data-driven products supporting Risk Data (Credit, Collections, Fraud).

  • Collaborate with stakeholders to identify opportunities to apply ML, automation, and data tools to risk management challenges.

  • Align product strategy with broader organizational goals to improve operational efficiency, analytics, and outcomes.

AI & Automation for Business Risk & Controls
  • Partner with the Business Risk & Controls team to implement AI/ML tools that improve oversight and streamline processes.

  • Identify and implement automation opportunities to replace manual work with scalable solutions.

Data-Driven Insights & Decisioning
  • Build AI analytics that surface strategy improvement opportunities within the Decision Engine.

  • Create solutions that empower teams with actionable insights and predictive intelligence.

Stakeholder Collaboration
  • Work closely with the Credit Risk, Collections, and Fraud teams to define requirements and success metrics.

  • Act as the primary liaison between technical teams (e.g., Data Engineers, ML Specialists) and business partners to ensure alignment.

Operational Excellence
  • Define and promote best practices for data governance, security, and quality within AI/ML products.

  • Monitor performance and iterate to enhance accuracy, efficiency, and user experience.

What You’ll Need
  • Bachelor’s degree and 5+ years of relevant experience, or Master’s degree and 3+ years of experience.

  • Proven success delivering AI/ML products in data-focused environments—ideally within financial services, risk, or related fields.

Technical Expertise
  • Deep familiarity with data pipeline and modeling tools (e.g., Snowflake, dbt, Airflow).

  • Exposure to AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face) and platforms like AWS and SageMaker.

Skills & Competencies
  • Strong analytical and problem-solving skills with a data-first mindset.

  • Excellent collaboration and communication abilities across technical and non-technical teams.

Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. 
 
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email [email protected].Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

SoFi Seattle, Washington, USA Office

The office is located in Pike Tower, just five blocks from Pike Place Market, and houses some of our Engineering, Design, and Product teams - including engineers, product managers, and other technical functions.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

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