VXI Global Solutions

Engineering Manager

VXI Global Solutions$199K — $275K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in ML infrastructure or production ML systems
  • Knowledge of ML model development lifecycle
  • Experience with distributed systems and cloud computing
  • Strong foundation in computer science principles
  • Hands-on experience with CI/CD pipelines and DevOps practices
  • Proficient in programming languages such as Python, Go, or Java
  • Familiarity with infrastructure-as-code tools like Terraform

Responsibilities

  • Design and operate scalable ML infrastructure on AWS
  • Develop distributed training and batch processing systems using Ray
  • Build and maintain infrastructure-as-code using Terraform
  • Support and evolve the feature store and feature pipelines
  • Develop data ingestion and streaming systems like Kafka or Spark
  • Improve CI/CD workflows for ML models
  • Enhance observability and reliability across ML workloads

Benefits

  • In-office work policy with flexibility for remote work
  • Subsidized commuter benefits and in-office perks
  • 401k match along with comprehensive medical, dental, and vision coverage
  • Generous vacation policy and company-wide paid days off
  • Annual wellness stipend for wellness-related expenses
  • Up to 24 weeks of paid parental leave
  • Access to fertility benefits and family planning tools
Full Job Description
About the role

Chime is looking for a seasoned engineering leader to help manage and guide the Data team to drive the company to build a scalable and self-serve data foundation. As a Senior Engineering Manager in the Data team, you will lead the effort to enable Chime to democratize data with stronger governance.

The base salary offered for this role and level of experience will begin at $199,000.00 and up to $275,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
  • Drive the next generation of FinTech innovation by leading AI-driven, data-centric initiatives that accelerate business growth, improve decision-making, and advance Chime's data.
  • Partner closely with Analytics, Product, Data Science, and cross-functional stakeholders to deliver high-quality, trusted, and secure data products while serving as a strategic thought partner to the business.
  • Lead, mentor, and grow high-performing engineering teams, fostering a culture of technical excellence, collaboration, innovation, and continuous learning.
  • Champion innovation and continuous improvement by establishing a clear sense of urgency and direction, setting high expectations for both the team and individual contributors, and driving operational excellence.
  • Collaborate across teams to prioritize work, resolve issues, and remove delivery obstacles, ensuring the team remains focused on delivering the highest business impact while maintaining engineering quality and velocity.
To thrive in this role, you have
  • 7+ years of experience leading Data Engineering teams.
  • Proven experience building scalable, AI-ready data tools, semantic models, and trusted data products.
  • Strong partnership with Product, Analytics, Data Science, and Marketing to deliver business outcomes.
  • Experience driving engineering excellence, including data quality, governance, CI/CD, and operational reliability.
  • Experience with Growth and Marketing Data tech, including attribution, funnels, and experimentation.
  • Experience in Supporting teams to deliver solution on tech stack such as Spark,Snowflake, Data Warehouse, Data Lake, Key-Value store, dbt

Nice-to-Have
  • Experience with AWS ecosystem
  • Experience leveraging AI tools to improve engineering productivity.

#LI-Onsite #LI-WW1

What we offer for our full-time, regular employees
  • Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates.
  • Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
  • Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
  • Generous vacation policy and company-wide paid days off
  • 1% of your time off to support local community organizations of your choice
  • Annual wellness stipend to use towards eligible wellness related expenses
  • Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
  • Access to family planning reimbursement
  • ♥ A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

About VXI Global Solutions

VXI Global Solutions is a business process outsourcing company that provides customer care, technical support, and back-office services to its clients. The company was founded in 1998 and has since grown to have over 30,000 employees across 42 locations worldwide. VXI Global Solutions prides itself on its ability to provide high-quality customer service and support to its clients, which range from small startups to Fortune 500 companies. The company's services are designed to help its clients improve customer satisfaction, reduce costs, and increase revenue.
Learn more about VXI Global Solutions
Size
30,000 employees
Industry
Founded
1998

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