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Reposted 3 Days AgoSaved
In-Office
New York, NY, USA
Mid level
Mid level
Artificial Intelligence
The Data Engineer will design and maintain scalable data pipelines, integrate APIs, support ML teams, and optimize data systems for performance and reliability.
Top Skills: AirflowAWSAzureDagsterDbtGCPPythonSQL
Reposted 7 Days AgoSaved
In-Office
New York, NY, USA
Mid level
Mid level
Artificial Intelligence
As an Applied AI Engineer, you will build and maintain systems for AI agent behaviors, integrate applications, and ensure reliability and user feedback mechanisms.
Top Skills: AILangchainLanggraphMlPython
Reposted 7 Days AgoSaved
In-Office
New York, NY, USA
Mid level
Mid level
Artificial Intelligence
The Marketing Manager will lead acquisition, growth campaigns, and brand positioning, focusing on building Artisan's market presence in AI and sales-tech.
Top Skills: AdobeCanvaEmailFigmaLinkedInMailchimpSeoX
Reposted 19 Days AgoSaved
In-Office
New York, NY, USA
225K-300K Annually
Junior
225K-300K Annually
Junior
Artificial Intelligence
As a Backend Software Engineer, you will design and scale backend systems for AI employees, ensuring delivery and collaboration across teams while maintaining system reliability and performance.
Top Skills: KubernetesNode.jsNoSQLSQLTypescript
Reposted 24 Days AgoSaved
In-Office
New York, NY, USA
Mid level
Mid level
Artificial Intelligence
Act as the technical bridge between Artisan and strategic customers, ensuring successful implementation and maximum value from the AI product, Ava. Responsibilities include engineering customer-specific features, managing integrations, and maintaining customer relationships throughout the lifecycle.
Top Skills: HubspotNode.jsOutreachReactSalesforceTypescript
23 Days AgoSaved
Remote
United States
Senior level
Senior level
Artificial Intelligence
Own onboarding, implementation, and go-live for enterprise clients; lead executive strategic reviews and ROI discussions; monitor adoption, usage, and health metrics; manage escalations and coordinate resolutions; identify upsell/expansion opportunities; advocate customer needs to drive product roadmap; build relationships and scalable Enterprise CSM processes.
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