Cooper AI

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

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.