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Job Description
This role involves developing and maintaining scalable data systems and machine learning models to unify and analyze large-scale customer and product data, contributing to the company's AI-powered customer data platform and supporting business growth through innovative technical solutions.
Key Responsibilities
- Ingest and understand large amounts of structured customer, product, and event data
- Create probabilistic knowledge graphs by training ML models to unify data across systems
- Implement research algorithms in production for high-scale usage
- Build visual experiences and tools to help users visualize data and surface insights
- Integrate the system into the core operations of client businesses
- Automate the management of data processing jobs and infrastructure
Requirements
- 12 years industry experience working in SaaS and distributed systems environments
- Experience working with large-scale data-oriented systems on a major cloud provider
- Deep technical judgment, expanding to the depths of your team s technology ownership, and the ability to guide architectural decisions on your team and across teams with an eye to high-level tradeoffs
- Ability to guide architectural decisions on your team and across teams with an eye to high-level tradeoffs, and know when and how to explore novel approaches
- Experience being a backstop for oncall issues on your team
- Passion for building scalable infrastructure systems for both internal and external customers
- Experience with functional languages like Clojure in a production environment (experience with Clojure or functional languages is preferred but not required)
- Ability to educate those outside your team on your team’s technology and products
- Mentorship experience, contributing to the growth of team members
- Willingness to share your talents and interests across the engineering team through tools, education, or leadership in special interest groups
Benefits & Perks
competitive compensation package
benefits designed to support well-being and long-term growth
opportunity to participate in the company's equity plan
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