Sagent is hiring a
Director Product Management

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Sagent

๐Ÿ’ต ~$210k-$250k
๐Ÿ“Remote - United States

Summary

Join our team at Sagent and become an integral part of an innovative and geographically dispersed team working on our new cloud native mortgage servicing solution. As a Director, Product Management, you will drive the development of this groundbreaking platform, leveraging your unique combination of business acumen, technical expertise, and visionary thinking to transform the mortgage servicing industry and deliver exceptional experiences to millions of homeowners.

Requirements

  • Bachelorโ€™s Degree in business, computer science, and/or related field
  • 10+ years of experience in Mortgage servicing, including any area, such as Support
  • Previous experience managing software product or educational equivalent. (e.g., Pragmatic Institute, 280 Group, others.)
  • 3+ years of experience working on an Agile team in SaaS product management
  • Excellent oral, written, and presentation skills with the ability to convey technical concepts to non-technical stakeholders clearly
  • Strong leadership skills with experience leading cross-functional teams and driving products to completion
  • Analytical mindset, comfortable using data to inform decision-making and product improvements

Responsibilities

  • Develop and execute product strategies that align with the companyโ€™s vision and objectives
  • Identify market opportunities, conduct market research, and stay up to date with industry trends to ensure our product meets customer needs
  • Monitor product performance and gather feedback from customers, sales teams, and other sources
  • Analyze customer experiences to identify friction points and contribute to creating seamless and effortless interactions
  • Partner with data scientists and machine learning engineers to develop and deploy AI models for various mortgage servicing tasks, such as risk assessment, fraud detection, and customer support
  • Oversee the training, testing, and optimization of AI models, ensuring accuracy, fairness, and compliance with regulatory requirements
  • Ensure that AI-powered solutions comply with relevant regulatory requirements, industry standards, and best practices, particularly in areas such as data privacy, security, and fair lending
  • Proactively identify and mitigate risks associated with AI implementation, such as bias, model drift, and ethical considerations

Benefits

  • Remote/Hybrid workplace options
  • Health Benefits
  • Unlimited Flexible Time Off
  • Family Planning Services
  • Tuition Reimbursement
  • Paid Family Leave
  • 401(k) Matching
  • Pet Insurance
  • LinkedIn Learning
  • Virtual Social Experiences
  • Career Pathing
  • Focus Time Fridays

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