We are on the lookout for a dynamic Senior Sales and Client Manager to contribute to our fast-growing team. This job involves building Cooper’s pipeline with viable leads in the Private Equity sector, leveraging your strong network. As a key player, you will manage outreach, lead qualifications, demos, client pitches, and successfully closing for your own pipeline leads.

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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
• Educate, explain, and motivate business leaders that are interested in data-driven decision-making, and AI-driven operational excellence on how data automation and AI can help transform their current enterprise
• Be the account owner and client success manager of their Private Equity clients throughout the client life cycle
  

Qualifications:

• 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
  

How to Stand Out:

• Bring creativity, passion for AI, and a deep understanding of Private Equity dynamics.
• Showcase your network-building capabilities
  

Join Us:‍

Be a part of the Cooper family! Where AI meets enterprise performance. If you are passionate about driving value creation through AI solutions, have a proven track record in Private Equity, and are ready to take on a pivotal role, we invite you to apply!

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As our Principal Engineer, you will be instrumental in supporting a web-based application, leading the design and scaling of continuous data ingestion models, modernizing and extending existing data pipelines, and integrating, training, and deploying state-of-the-art AI models. This role offers the exciting opportunity to tackle complex technical challenges, spearhead innovation, and collaborate closely with a highly skilled team.

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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.
• Mentor and coach team members, fostering a culture of continuous learning and improvement.
• Optimize existing backend systems for performance, scalability, and efficiency.
• Implement and advocate for best practices in scaling backend infrastructure.
• Collaborate effectively with product managers, designers, and other stakeholders to understand requirements and deliver optimal solutions.
• Communicate technical concepts and decisions to both technical and non-technical team members.
• Stay current with industry trends and emerging technologies.
• Identify opportunities for innovation and research to enhance our backend systems.
  

Qualifications:

• Bachelor's or advanced degree in Computer Science, Engineering, or related field.
• 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.
• 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.
  

Join Us:

Be a part of the Cooper family! Where AI meets enterprise performance.

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