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Decision Engine Team Lead

SoFi

Decision Engine Team Lead

SoFi

CA - San Francisco

·

On-site

·

Full-time

·

1w ago

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:

As a Decision Engine Team Lead, you play a pivotal role in ensuring the success of the assigned team. Your responsibilities include collaborating with So Fi Engineering and other BU teams, facilitating effective communication among team members, participating in technical and business meetings, and overall ownership of the team's success. Additionally, you are expected to leverage your expertise to contribute value to the team.

What You'll Do:

Crafting Rulesets and Automation:

  • Demonstrate proficiency in formulating rulesets within the decision engine.

  • Implement automation processes through Continuous Integration/Continuous Deployment (CI/CD).

Software Experience:

  • Possess software development skills encompassing the entire SDLC

Debugging and Problem-Solving:

  • Apply robust debugging skills and showcase proficiency in root cause analysis.

SQL Proficiency:

  • Utilize foundational SQL skills, with a preference for experience in handling complex SQL scenarios.

Guidance and Training:

  • Demonstrate the ability to guide and train new team members effectively.

Communication and Collaboration:

  • Foster effective communication and collaboration with stakeholders to ensure seamless strategy implementation.

  • Provide insight into project timelines.

  • Work with the technical or business leaders to develop rulesets most efficiently.

Coaching and Guidance:

  • Coach and guide team members on best practices, areas of improvement, and other success criteria.

  • Responsible for team performance tracking including bugs, velocity, and other team metrics

What You Need:

Experience:

  • 5+ years of experience in data engineering, software engineering, or AI/ML development.

  • Prior experience in financial service-oriented development is a plus.

  • Prior experience with a decision engine is a plus.

Leadership Drive:

  • Exhibit a strong drive to own your team and product.

Technical Proficiency:

  • Senior-level experience in Python and JavaScript.

  • Demonstrate experience in debugging, technical problem-solving, and investigative skills.

SQL Operations:

  • Proficiency in basic to complex SQL operations.

Agile Development:

  • Prior experience with Agile development methodologies/techniques is preferred.

Team Training and Supervision:

  • Experience in training and supervising team members.

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 So Fi page!
So Fi 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 Rights
So Fi is committed to an inclusive culture. As part of this commitment, So Fi 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 accommodations@sofi.com.
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.

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About SoFi

SoFi

SoFi

Public

SoFi Technologies, Inc. is an American financial technology company. Founded in 2011 by Stanford University students, it operates as a nationally chartered online bank and is a technology provider to other financial institutions. SoFi is the largest U.S.

1,001-5,000

Employees

San Francisco

Headquarters

Reviews

3.3

25 reviews

Work Life Balance

3.2

Compensation

4.1

Culture

3.4

Career

3.6

Management

3.3

65%

Recommend to a Friend

Pros

Great benefits and compensation

Understanding and caring management

Remote work flexibility

Cons

Long hours and high workload stress

Poor communication between departments

Bureaucratic processes and red tape

Salary Ranges

6 data points

Junior/L3

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Baseline Data Scientist

0 reports

$206,850

total / year

Base

-

Stock

-

Bonus

-

$175,823

$237,878

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 33%

Neutral 50%

Negative 17%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Interview

5

Behavioral Interview

6

Onsite/Virtual Interviews

7

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit