Senior Product Manager

The Senior Product Manager owns the strategy, design, and delivery of products within the Private Funds domain of the Clearwater system. The role covers the full product lifecycle, from defining the product and planning development through production and go-to-market. You will build the product roadmap needed to achieve bookings, client NPS, and gross margin targets for your component.

This is a technical product role. You will work with engineering on data models, integrations, and AI-enabled workflows, and you will be a domain authority on how private funds are structured, reported, and valued. You will collaborate with internal stakeholders, clients, and prospects to identify new capabilities, partner with development teams to build and launch them, and pilot new features with clients before promoting them to the wider client base.

Responsibilities

• Team Leadership: Lead and guide a team of 8-15 developers, supporting knowledge-sharing and training to build team effectiveness.
• Product Ownership: Own the Private Funds product(s) end to end, from ideation through market launch and ongoing evolution.
• Backlog Management: Prioritize and manage the backlog, balancing client-facing features, data quality, and platform investments in line with business goals.
• Technical Requirement Definition: Write clear, detailed requirements and acceptance criteria, including data model changes, schema definitions, API contracts, validation rules, and data lineage expectations.
• Private Funds Data Modeling: Define and evolve the domain data model, including GP/LP structures, master/feeder relationships, fund and asset taxonomies and sub-types, and the treatment of capital account and PCAP statements, capital call and distribution notices, and NAV and performance data.
• Data Versioning & Integrity: Specify how data is versioned, corrected, and restated (e.g., immutable, transaction-based designs), and define approaches to entity matching, alias/deduplication, and reconciliation across sources.
• AI & Automation: Shape and prioritize agentic and Generative AI capabilities, such as automated document procurement, extraction, classification, and validation. Define accuracy targets, human-in-the-loop review workflows, and evaluation methods.
• Engineering Collaboration: Work daily with engineering on architecture trade-offs, feature design, and delivery, ensuring solutions meet client needs and scale with data volume and complexity.
• Roadmap Creation: Develop and communicate the product roadmap, setting strategic direction for analytics, research and deal management, managed data services, and accounting capabilities.
• Stakeholder Communication: Keep stakeholders informed on product updates, roadmap progress, and releases.
• Client Engagement: Engage with Clients of Clearwater who maybe a GP, LP to understand their workflows and data needs, and translate them into actionable enhancements.
• Operational Partnership: Work with data operations and service teams to measure and reduce manual intervention, turning root causes into product and automation improvements.
• Success Measurement: Define KPIs (e.g., data accuracy, coverage, timeliness, straight-through processing rates, adoption, NPS) and use data-driven insights to guide future decisions.
• Subject Matter Expertise: Act as the go-to expert on private funds and alternative investments, supporting sales, client conversations, and product strategy.
• Employee Engagement: Participate in large-scale initiatives that promote employee retention and engagement.
• Process Improvement: Teach and guide other teams toward effective processes and best practices.

Required Skills

• Strong analytical and problem-solving skills, particularly in ambiguous, fast-paced environments.
• Deep knowledge of Private Markets (Private Equity, Private Credit, Real Assets, Fund of Funds) and the financial services landscape.
• Strong understanding of private fund structures and documents, including LPAs, capital account statements, PCAPs, capital calls and distributions, and NAV and performance reporting.
• Working technical fluency: relational data modeling, SQL, REST APIs, data pipelines, and ETL concepts. You can read schemas and engage credibly in design discussions.
• Familiarity with Generative AI and agentic AI technologies, including document intelligence, extraction, and evaluation, and an understanding of their practical limits in financial data workflows.
• Proven ability to collaborate across sales, product, operations, and technology.
• Exceptional attention to detail, organizational skills, and documentation abilities.
• Outstanding verbal and written communication skills, with the ability to explain complex concepts clearly and influence stakeholders.
• Proficiency in Microsoft Office and strong computer skills.

Education and Experience

• Bachelor's or Master's degree in Engineering, Computer Science, Finance, or a related field.
• 7+ years of experience in product management or related roles, including experience owning a technical or data-intensive product.
• 4+ years of professional experience in Investment Management, Operations, or Accounting, with direct exposure to private funds data or workflows.
• Demonstrated experience writing business and technical requirements for a financial technology product or service.
• Experience in data visualization and analytics.
• Demonstrated client engagement experience, with a focus on understanding and addressing client needs.
• Experience presenting to clients and internal stakeholders.
• Knowledge of Alternative Investments, including Private Equity, Limited Partnerships, Private Credit, Mortgage and Bank Loans, or Derivatives.

Preferred (Nice to Have)

• Experience with fund administration, LP reporting, or portfolio monitoring platforms.
• Experience with master data management, entity resolution, or data quality frameworks.
• Hands-on experience launching AI-enabled data extraction or document processing products.