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Clearwater Analytics

Senior Product Manager

Posted Yesterday
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Block Noida Authority Office, Sector 6, Gautam Buddha Nagar, Uttar Pradesh
Senior level
Block Noida Authority Office, Sector 6, Gautam Buddha Nagar, Uttar Pradesh
Senior level
The Senior Product Manager will lead the development of Clearwater's investment data management platform, collaborating with scrum teams and clients to establish the product roadmap, prioritize product decisions, and promote new capabilities. Responsibilities include managing product requirements, overseeing development with multiple teams, and ensuring alignment on strategic goals.
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Job Summary: 

The Senior Product Manager will be responsible for designing, developing, and overseeing activities related to the core Clearwater investment data management platform. Our market leading, cloud native, single instance multi-tenant architecture intakes data from 1200+ sources and creates a golden source of truth.

Reporting to a senior product leader based in the U.S, this role will oversee defining the product requirements and planning its development to production and working closely with clients to make them successful. Additionally, the Product Manager is tasked with crafting the product roadmap necessary to achieve bookings, client NPS, and gross margin targets associated with their component. 

To facilitate growth, the product manager will collaborate with internal stakeholders, clients, and prospects to identify new product capability requirements. They maintain close collaboration with their development teams to ensure the successful creation and introduction of these new capabilities to the market. Furthermore, the Product Manager takes charge of testing and implementing these fresh features with clients and actively promotes future growth to a broader audience of Clearwater clients and prospects. 

 Responsibilities: 

  • Team Span: responsible for handling 2 – 3 scrum teams spanning 12 – 15 engineers 
  • Continuously evaluate current data platform, and build a short (0 – 6 months), medium (6 – 12 months) and longer-term roadmap for a highly scalable, automated and resilient data platform
  • Prioritize decisions across products with data driven justification
  • Establish alignment on the product roadmap among multiple development teams. 
  • Efficiently lead the development of cross-product capabilities. 
  • Contribute to the formulation of the department's development and training plan. 
  • Advocate for a culture of communication throughout the organization.
  • Build release specific product briefs that articulate the client problem for target personas, value, priority and high-level approach
  • Keep current with latest technology development in data management, competitors and apply those insights to CW product strategy and execution.

Required Skills: 

  • 8+ years of experience of as a Product Manager that owns all aspects of a successful product throughout its lifecycle in a B2B enterprise SaaS environment. 
  • At least 5 years of experience in the Investment management or financial services sector.
  • Knowledge of capital markets including private markets, equity, fixed income, and derivatives is key.
  • 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.  
  • Excellent attention to detail and strong documentation skills.   
  • Outstanding verbal and written communication skills.   
  • Strong organizational and interpersonal skills.  
  • Exceptional problem-solving abilities.  
  • Openness to work and coordinate in US time zone

Education Background: 

  • Bachelor's/master’s degree in computer science, engineering or a related field. 
  • In absence of a technical education, proven hands-on technical experience will be required.

Nice to have: 

  • Experience of working in asset management company or insurance firm is helpful
  • Experience working in operations, middle office, and internal tools is helpful.
  • Experience with investment data reconciliation tools and services is preferred.
  • Experience of working on AI, machine learning and/or LLM based projects is an edge

Top Skills

Product Management

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