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Get To Know Us First!
Interface.ai provides an Intelligent Virtual Assistant (IVA) to FIs to automate calls and customer inquiries across multiple channels and engage their customers with financial insights and upsell/cross-sell. Our IVA is transforming financial institutions call centers from a cost to a revenue center.
Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1. We are 160+ people strong with employees spread across India and US locations. Many of them come from ML teams at Apple, Microsoft and Salesforce in the US along with enterprise architects with over 20+ years of experience building large-scale systems. Our India team consists of people from ISB, IIMs and many who have been previous part of early-stage startups. We have grown 1800% in the last one year. Founders come from Banking and Enterprise Technology backgrounds with previous experience scaling companies from scratch to $50M+ in revenues. We have grown 1800% in the last one year & are in the top 100 fastest-growing Fintech in Silicon Valley. We are a fully remote team
Careers - https://interface.ai/open-positions
LinkedIn -https://www.linkedin.com/company/interface-ai/
Role – Technical Delivery Manager
Shift timing – 1:30 PM to 10:30 PM
Do You Make the Cut
Enterprise SAAS delivery managers
Benefits
Job ID: 129400211
Skills:
Microsoft Office, Jira, Confluence, AI tools, Agile Scrum methodologies, APIs and integrations, AI-based reporting and analytics, Project tracking tools, Prompt engineering fundamentals, AI-assisted project management, Google Workspace, Generative AI tools, Productivity automation tools, SaaS products
Skills:
MySQL, Sql, Aws Redshift, Soap, Vpc, AWS Glue, Microsoft Sql Server, Github, F5, AWS, Elb, Python, Javascript Frameworks, ECS, REST, Route53, PostgreSQL, EKS, Airflow, TravisCI, API Gateways, AWS SageMaker, AWS Data Wrangler, AWS EMR
Skills:
SaaS administration and lifecycle management, Log analysis and troubleshooting techniques, REST APIs and SaaS integrations, Enterprise SaaS applications
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