Group Product Manager, AI-Native Data Warehouse

Juniper Square · Remote · USA ·
Fully remoteFull-timeLead8+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Group Product Manager
  • AI-Native Data Warehouse
  • Zero-to-One Product
  • Remote (US/Canada)
  • 10+ Years Experience

You will own the vision and multi-year strategy for Dex, an intelligent data warehouse that transforms fragmented private markets documents into a clean, structured foundation. This flagship product serves as the data backbone for Juniper Square’s external applications, AI agents, and internal fund administration operations.

The role requires taking the product from concept to reality, solving complex challenges in document ingestion, classification, and data validation. You will partner with engineering, design, and executive stakeholders to align on strategy and drive adoption across customer profiles.

What you'll do

  • Define the multi-year vision and roadmap for Dex as an external product and internal backbone
  • Transform the product from an initial idea into a scalable reality with entrepreneurial energy
  • Engage directly with GPs and internal teams to sharpen strategic direction using customer insights
  • Partner with engineering, design, and sales to align on strategy and ensure effective execution
  • Manage the end-to-end process from discovery to delivery, defining requirements and motivating teams
  • Direct product strategy for AI capabilities including agentic ingestion and automated extraction
  • Simplify complex data problems involving inconsistent formats and unstructured documents
  • Mentor other product managers and set direction across multiple engineering workstreams

What you'll need

  • Over ten years of product management experience in B2B or Enterprise SaaS environments
  • Proven track record of owning complex products end-to-end, ideally in zero-to-one contexts
  • Background in data warehousing, modeling, document ingestion, ETL pipelines, and validation
  • Experience building agentic workflows or production LLM features with monitoring discipline
  • Fluency with LLMs and AI tools like Claude or Cursor to prototype and accelerate work
  • Strong written and verbal communication skills for articulating decisions to diverse stakeholders
  • History of leading through influence and mentoring other product managers

Stack

  • LLMs
  • Claude
  • Cursor
  • AI Agents
  • ETL/ELT Pipelines
  • Data Modeling

How you'll work

  • Fully remote options available for employees in the United States and Canada
  • In-person collaboration in San Francisco is beneficial but not mandatory
  • Digital-first operations supporting teams across multiple states and provinces

What you get

  • Health, dental, and vision care for employees and their families
  • Life insurance and mental wellness coverage included
  • Fertility support and growing family benefits provided
  • Flexible time off plus company-paid holidays
  • Paid family, medical, and bereavement leave policies
  • Retirement saving plans available for all employees
  • Allowance for customizing home work and technology setup
  • Annual stipend for professional development opportunities