The posting, in Prudentia Sciences's own words
archived Sep 5, 2026About Prudentia Sciences
Prudentia Sciences is the scientific intelligence layer powering life sciences dealmaking. We bring together expert-developed scientific diligence frameworks, AI reasoning trained on drug development, and a unified evidence base to accelerate investment in breakthrough therapies. As a trusted third party operating between buyer and seller, we help build conviction through every stage of the deal, faster. We replace fragmented workflows with a single system that surfaces what matters earlier. Backed by GV (Google Ventures), McKesson, Iaso Ventures, Virtue, and SignalFire — and built by people who have sat on every side of the table in life sciences dealmaking — we're on a mission to bring expert scientific judgment to every deal decision, at AI scale.
The Opportunity
We're looking for a Customer Delivery & Support Lead to own implementation and support for Prudentia's biopharma customers. You'll turn how a client's team actually works into a live deployment: you're mapping workflows, configuring the platform, collaborating with engineering on custom development and integrations, and making sure every account has fast and reliable product support.
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What You'll Own
Implementation & Deployment Translate ambiguous client workflows into clear implementation plans and configuration blueprints, then execute against them for deployment go-lives Support customer workshops and configuration sessions with client teams to map workflows and accelerate time-to-value Build reusable configuration patterns and implementation playbooks that speed up delivery across the customer portfolio Own real-time trade-offs on scope and sequencing to keep each deployment's critical path unblocked Technical Support & Resolution Serve as the embedded technical resolution point across the portfolio: own issues end-to-end as part of one coordinated team with the Customer Success Lead, Scientific team, and Engineering team Triage, diagnose, and resolve platform issues through systematic troubleshooting, documenting problems clearly as they come in Own ticket resolution end-to-end, maintaining response and resolution times and escalating as needed Build and maintain a customer-facing Knowledge Base that makes self-services the fastest path to resolution Continuous Improvement Turn recurring technical issues and workflow gaps into structured feedback for Product and Engineering Maintain deep platform expertise, including emerging AI and workflow capabilities, to enable clients’ sophisticated use cases Track implementation and support metrics (time-to-deploy, resolution time, recurring issue rate) to continuously sharpen delivery quality