Cooper AI
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About
Cooper AI is a machine-learning platform designed to help businesses make better decisions by ingesting, cleansing, and interpreting data. It prioritizes key decisions, allowing businesses to identify mission-critical actions, balance revenue vs. EBITDA, and calculate the impact of choices on various business aspects. Cooper also aids in risk diversification and provides objective employee recognition, uncovering IT needs and demonstrating real-world impact across various metrics (DEI, ESG, and profitability). It integrates with existing data systems, using AI to synthesize and prioritize information for decision-making.
Platform
Task
Features
• real world impact
• it effectiveness
• employee success
• continuous evolution
• data cleanser
• powerful simplicity
Job Opportunities
Senior Sales and Client Manager
Cooper AI is an AI-powered decision-making platform that ingests, cleanses, and interprets data to help businesses prioritize and track key decisions.
Experience Requirements:
Senior-level experience in Private Equity or Private Equity Services with a strong network
Operational improvement experience
Demonstrated success in managing the client life cycle.
Understanding of Artificial Intelligence, Decision Intelligence, and operations pressures within enterprise settings.
Have a strong network in Private Equity
Responsibilities:
Build Cooper’s pipeline with viable leads focused in appropriate Private Equity environments via your strong network
Manage outreach, lead qualification, demos, client pitches, and ultimately successful closings for your pipeline leads.
Collaborate with our Director of Marketing to produce compelling messaging for effective market penetration
Understand Cooper’s value proposition and have personally experienced the pain points of decision fatigue, data overload, and operational pressures from trying to manage limited resources (time, talent, money)
Be able to clearly articulate Cooper’s value as a software with a service component
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Principal Engineer
Cooper AI is an AI-powered decision-making platform that ingests, cleanses, and interprets data to help businesses prioritize and track key decisions.
Education Requirements:
Bachelor's or advanced degree in Computer Science, Engineering, or related field
Experience Requirements:
10 years minimum of experience in backend engineering, with a proven track record of designing and implementing complex systems.
Expertise in backend technologies such as Python, Java, etc
Strong focus on AWS (e.g. lambdas, step functions, RDS) required & experience with Databricks.
Experience with infrastructure-as-code (Terraform).
Experience building data lakes & data warehouses.
Other Requirements:
Experience working with a business operational/financial tool required.
Experience as a lead engineer in a start-up environment is highly desired.
Leadership experience, including mentoring, coaching, and guiding engineering teams.
Excellent communication and collaboration skills
Responsibilities:
Provide technical leadership and guidance to the backend engineering team.
Drive the development and implementation of best practices, coding standards, and architectural principles.
Architect scalable and high-performance backend systems that meet current and future business needs.
Collaborate with cross-functional teams to design and implement robust, efficient, and maintainable solutions.
Conduct regular code reviews to ensure high-quality, maintainable code.
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