Product & Network Growth Lead

DiligenceVault

10d

About The Position

DiligenceVault is building the network intelligence layer for the allocator and manager ecosystem. We power diligence, data, and workflows for leading allocators and asset managers. We are now extending this foundation to create a system that connects: people firms activity and emerging signals across the market This is a high-signal, data-driven network built on real investment workflows -- enhanced by AI to accelerate insight, matching, and decision-making. We’re looking for a Product & Network Growth Lead to help build and scale this from 0 --> 1 --> scale. This role sits at the intersection of: product growth AI-enabled workflows and network development You will help define both: how AI is embedded into the product and how users adopt and derive value from it

Requirements

Builder mindset : thrives in ambiguity and creates structure
Product intuition : understands user behavior and engagement loops
High execution speed : tests, iterates, and ships quickly
AI-native : uses AI as a core part of how you work
Experience driving adoption : not just building features, but getting users to use them
Analytical : uses data (and AI) to guide decisions
Collaborative : works effectively across teams

Nice To Haves

Product + growth / GTM hybrid roles
Experience with networks, marketplaces, or data platforms
Experience launching or scaling AI-enabled products
Background in fintech, asset management, or adjacent ecosystems

Responsibilities

Drive Network Adoption
Increase activation, engagement, and repeat usage across the platform
Design and run rapid experiments to improve participation and retention
Build and Scale the Network
Grow a high-quality ecosystem of users and firms
Leverage DV’s existing network to drive early liquidity
Develop scalable onboarding and expansion playbooks
Shape Product + GTM
Help define positioning for a new category (network intelligence)
Work closely with product and engineering to iterate quickly
Partner with sales and client teams to embed into workflows
Lead AI Adoption (Product + Users)
Embed AI into the Product
Identify opportunities to integrate AI into: matching and recommendations discovery and search signal generation and insights
Work with product/engineering to bring these features to market
Drive AI Feature Adoption
Ensure users understand and actively use AI-powered capabilities
Design onboarding flows, prompts, and UX that make AI intuitive and valuable
Track and improve: AI feature usage repeat engagement outcome quality
Translate Activity into AI-Driven Intelligence
Help turn platform activity into structured signals using AI
Contribute to building intelligence outputs that users rely on
Leverage AI as a Core Operating Layer
Use AI tools daily to: accelerate research and execution generate and test GTM ideas automate workflows and content
Continuously experiment with new AI approaches to increase speed and output
Operate with Data
Define and track key metrics across: activation engagement AI feature adoption outcomes
Use data and AI-assisted analysis to drive decisions