About Clearwater Analytics® 

Clearwater Analytics® is a global SaaS solution for automated investment data aggregation, reconciliation, accounting, and reporting. Clearwater helps thousands of organizations make the most of investment portfolio data with cloud-native software and client-centric servicing. Every day, investment professionals worldwide trust Clearwater to deliver timely, validated investment data and in-depth reporting. 

 Description 

As the Reconciliation Product Manager, you will work with one of Clearwater’s core products that’s responsible for reconciling and validating over $4 trillion in assets across many Fortune 500 clients.  This is an on-premise application that we’re looking to modernize and scale into the cloud. The ideal candidate has experience in building cloud-based financial applications and in bringing machine learning into existing products.  You need to be someone who likes tackling complicated systems; both learning the details and understanding structures that control the complexity.  Recon isn’t rocket-science, but it has many rules, variations in truth, and multiple modes of failure that can significantly impact the financial statements for some of the world’s largest companies. 

 

Responsibilities: 

  • Work with internal and external clients to define the reconciliation product strategy and roadmap including prioritizing work and providing justification for decisions.
  • Gain a deep understanding of customer experience, identify and fill product gaps, and generate new ideas that drive growth and customer satisfaction 
  • Identify and document the requirements for development projects 
  • Work with development teams to ensure there is a clear understanding of user needs for development projects 
  • Communicate with internal and external stakeholders about development projects and accounting guidance updates 
  • Collaborate with Marketing for product releases 
  • Train users on new product functionality and capabilities 

 

Expectations: 

  • Being transparent about prioritization and the roadmap process 
  • Using evidence-based decision making to drive prioritization 
  • Ability to say “no” and explain why in terms stakeholders understand 
  • Considerable empathy and curiosity with a focus on the customer 

 

Requirements: 

  • Proven track record as a Product Manager that owns all aspects of a successful product throughout its lifecycle in a B2B environment 
  • Familiarity with machine learning modeling workflows and the basics of Data Science: feature selection and engineering, different ML model families, optimization considerations for ML models, deployment and serving challenges 
  • Exemplary interpersonal, communication, and project management skills 
  • Excellent team and relationship building abilities, with both internal and external parties (engineers, business stakeholders, partners, etc.) 
  • Ability to work well under pressure, multitask, and maintain keen attention to detail 
  • Strong leadership skills, including ability to influence via diplomacy and tact 

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