- Applications are considered on a rolling basis
- Los Angeles
- Remote
Job Description
Background
Planhat is a global leader in Customer Management solutions and weve been building toward our AI Platform (AIP) for some time and now as part of this journey weve recently launched a new initiative that goes with it: the AI Deployment Program (ADP) - a dedicated services team with deep expertise in deploying the AI capabilities around CX that the Planhat Platform powers. Read more about it LINK
The Mission
AI is only as powerful as the data its trained on. At Planhat our platform powers some of the most valuable customer data in the world but unlocking its full potential requires strong engineering.
Were looking for AI Data Engineers to design build and optimize the data pipelines that power our AI-workflows AI-automations and customer workflows.
This isnt a backroom ETL role youll work directly with our Forward Deployed Solutions team and strategic customers to transform messy complex datasets into clean structured and reliable fuel for AI models.
Youll own the process from end to end: embedding with customers to understand their systems engineering pipelines that deliver at scale and working closely with our commercial teams to build workflows and solutions that our customers are asking for.
What Youll Do
- Architect and implement high-performance data pipelines for AI applications.
- Design and optimize and transform raw customer data into structured reliable datasets.
- Build AI workflows and data mapping in the Planhat platform
- Work with SQL Python and APIs to integrate multiple messy distributed systems.
- Partner with AI engineers to ensure models have the clean context-rich data they need.
- Build monitoring and validation systems to ensure data quality and trust.
- Collaborate with customers and internal teams to solve complex domain-specific data challenges.
Required Experience:
IC
Applications are considered on a rolling basis Los AngelesRemoteJob DescriptionBackgroundPlanhat is a global leader in Customer Management solutions and weve been building toward our AI Platform (AIP) for some time and now as part of this journey weve recently launched...
- Applications are considered on a rolling basis
- Los Angeles
- Remote
Job Description
Background
Planhat is a global leader in Customer Management solutions and weve been building toward our AI Platform (AIP) for some time and now as part of this journey weve recently launched a new initiative that goes with it: the AI Deployment Program (ADP) - a dedicated services team with deep expertise in deploying the AI capabilities around CX that the Planhat Platform powers. Read more about it LINK
The Mission
AI is only as powerful as the data its trained on. At Planhat our platform powers some of the most valuable customer data in the world but unlocking its full potential requires strong engineering.
Were looking for AI Data Engineers to design build and optimize the data pipelines that power our AI-workflows AI-automations and customer workflows.
This isnt a backroom ETL role youll work directly with our Forward Deployed Solutions team and strategic customers to transform messy complex datasets into clean structured and reliable fuel for AI models.
Youll own the process from end to end: embedding with customers to understand their systems engineering pipelines that deliver at scale and working closely with our commercial teams to build workflows and solutions that our customers are asking for.
What Youll Do
- Architect and implement high-performance data pipelines for AI applications.
- Design and optimize and transform raw customer data into structured reliable datasets.
- Build AI workflows and data mapping in the Planhat platform
- Work with SQL Python and APIs to integrate multiple messy distributed systems.
- Partner with AI engineers to ensure models have the clean context-rich data they need.
- Build monitoring and validation systems to ensure data quality and trust.
- Collaborate with customers and internal teams to solve complex domain-specific data challenges.
Required Experience:
IC
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