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ProphecyPR

Senior Product Manager (Structured Finance)

Prophecy is an AI-native data preparation and analysis platform that helps enterprises transform raw data into trusted insights using AI-driven visual workflows that scale on Databricks, Snowflake, and BigQuery.

Prophecy

Employee count: 51-200

United States only

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About Prophecy

Prophecy is building the next generation of AI-powered Data Prep and Analytics. Our platform enables business analysts and data teams to transform raw data into reliable, production-ready datasets and insights faster, using modern data infrastructure and AI-driven capabilities. We work with leading enterprises to simplify how organizations prepare, analyze, and operationalize data, while maintaining strong governance, security, and operational control. Our mission is to make it dramatically easier for organizations to turn complex data into trusted insights that drive decisions.

Why This Role Exists

We are expanding our platform into complex, data-intensive verticals, starting with Structured Finance.

Structured finance workflows, which span asset-level data ingestion, cash flow modeling, tranche structuring, and regulatory reporting, are among the most analytically demanding and operationally complex in the enterprise.

They are also highly manual and fragmented, deeply dependent on data quality and lineage, and increasingly in need of AI-driven automation and insight generation.

We are looking for a Senior Product Manager who operates as a builder and owner, and who brings strong intuition for structured finance workflows, to help define how these processes evolve in an AI-native world.

You will own a product area end-to-end and shape how financial institutions go from raw financial data → models → insights → decisions → actions.

What You’ll Do

Product Strategy & Ownership

  • Own and evolve the roadmap for a product area over a 1–3 quarter horizon, balancing customer needs, technical investments, and business goals
  • Define how capabilities such as data preparation, modeling, and analytics come together into cohesive systems
  • Make thoughtful trade-offs across customer needs, technical constraints, and business impact
  • Think in systems: how does the product support the full lifecycle from asset ingestion to reporting and decisioning

Domain Insight & Discovery

  • Develop deep understanding of structured finance workflows, including asset-backed securities (ABS), MBS, CLOs, or similar instruments, loan-level data ingestion and normalization, cash flow modeling and scenario analysis, tranche structuring and risk analysis, amd regulatory and investor reporting.
  • Engage directly with customers (banks, asset managers, fintechs) to uncover constraints, inefficiencies, and unmet needs
  • Frame complex financial and operational problems into clear, actionable problem statements

AI-Native Product Development

  • Use AI tools (LLMs, copilots, workflows) as a core part of product development, not an afterthought
  • Build lightweight prototypes (prompts, workflows, internal tools) to validate ideas before writing full specifications
  • Identify where AI-driven capabilities and automation can meaningfully improve user workflows
  • Ensure AI features are reliable, explainable, and aligned with enterprise requirements

Product Development & Execution

  • Work closely with engineering and design to deliver high-quality product capabilities
  • Write clear, structured product specifications grounded in data and user insight
  • Define success metrics and track adoption, impact, and effectiveness
  • Monitor execution progress, identify risks early, and drive cross-team alignment
  • Maintain a high bar for usability, reliability, and product integrity

Cross-Functional Leadership

  • Align engineering, design, sales, and customer success around shared outcomes
  • Communicate product direction through clear documentation and structured decision-making
  • Resolve ambiguity and misalignment quickly to maintain execution momentum
  • Contribute to product positioning and narrative through artifacts such as one-pagers, demos, and customer-facing materials

Operational Ownership

  • Own the operational health of your product area, including performance monitoring, feature adoption, issue triage, and iteration cycles
  • Establish and improve repeatable processes that increase execution speed and predictability

Who You Are

Required

  • 5+ years of product management experience in data platforms, analytics products, or financial technology
  • Strong understanding of structured finance concepts and workflows, e.g. ABS, MBS, CLOs, etc.
  • Experience working closely with engineering teams to deliver technical products
  • Experience working with complex, data-intensive systems
  • Ability to translate domain-specific problems into clear product requirements
  • Strong communication skills, with the ability to simplify complex financial and technical concepts

Preferred

  • Experience operating in a high-growth startup environment (Series A–C)
  • Experience working in or with investment banks, asset managers, fintechs, or structured finance platforms as well as loan-level datasets, cash flow models, or risk systems
  • Familiar with modern data infrastructure, e.g. Snowflake, Databricks, BigQuery, Spark, SQL
  • Experience building or shipping AI/ML-powered features in regulated environments
  • Comfort using AI tools (LLMs, copilots) to accelerate product thinking and prototyping

How You Work

  • You operate with a sense of end-to-end ownership and accountability
  • You are comfortable with ambiguity and move quickly to create clarity
  • You combine product intuition with data-driven decision making
  • You use tools including AI to increase leverage and speed
  • You care deeply about building products that deliver real, measurable outcomes for customers

Why This Role is Unique

  • This role sits at the intersection of structured finance domain expertise modern data infrastructure, and AI-native product development
  • You’ll have the opportunity to define how one of the most complex and critical areas of financial services is rebuilt for an AI-native world.

Seniority: Mid to Staff Level

Location: San Francisco, New York, or Remote (United States)

Benefits and Perks

  • Prophecy covers 99% of employee health insurance premiums and 75% for dependents
  • We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!
  • Flexible PTO
  • Professional development allowance
  • Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more
  • Ability to have your fingerprint on an innovative platform
  • End-to-end ownership of your projects.

*Benefits and perks may vary per country

About the job

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Job type

Full Time

Experience level

Experience

5 years minimum

Location requirements

Hiring timezones

United States +/- 0 hours

About Prophecy

Learn more about Prophecy and their company culture.

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Prophecy exists to solve one of the most persistent problems in modern enterprises: data chaos. Every day, data teams waste countless hours wrestling with fragmented, unreliable data instead of driving business value. Prophecy's AI-native data preparation and analysis platform transforms this reality by enabling teams to turn raw data into trusted insights through AI-driven visual workflows. The platform introduces an AI-powered data lifecycle - generate, refine, deploy - where AI agents collaborate with human users across visual and code interfaces. This approach democratizes data engineering, making it accessible to business users while maintaining the power and scalability that data engineers need.

Built for enterprise scale on platforms like Databricks, Snowflake, and BigQuery, Prophecy is trusted by some of the world's largest companies including HSBC, JP Morgan, Microsoft, and SAP. The company's AI agents generate workflows, discover and explore datasets, and automatically document work - dramatically accelerating data preparation and analysis. By combining the simplicity of visual development with the power of code, Prophecy enables organizations to ship trusted insights at enterprise scale without compromising on quality or control. The result: data teams become incredibly productive, insights arrive faster, and businesses make smarter decisions based on reliable data they can actually trust.

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