Agent Deployment

Valerie Health•San Francisco, CA

9h•$100,000 - $130,000

About The Position

Reporting to the Head of Customers, this role owns the deployment and performance of Valerie's AI voice agents across our customers. You will be responsible for going deep with our customers in implementation to understand their clinical and operational workflows and tuning our agents to ensure we deliver on our goals. This is a hands-on, cross-functional role. You need to be technically fluent, comfortable in direct customer relationships, and willing to own things end to end. You'll work closely with Customer Strategy and Engineering to close the loop between what customers need and the way our agents operate. The ideal candidate is someone who tinkers until something works exactly right and likes the challenge of complex puzzles. You have high standards, low ego, and a bias toward figuring things out. You're equally comfortable digging into logs to debug a problem and sitting across from a practice manager explaining why something isn't working yet.

Requirements

Previous experience in implementation, technical account management, solutions engineering, or a comparable customer-facing roles.
Code fluency a must.
STEM degree or equivalent experience strongly preferred
You enjoy identifying problems and designing solutions, whether process or product, and bring structure to unstructured problems to drive execution and scale.
You take full responsibility for outcomes, follow through without being asked, and hold yourself to a high bar.
You can learn systems quickly, work through configuration without hand-holding, and speak credibly with both customers and engineering teams.
You are clear and succinct in both written and verbal communication, capable of adjusting style for different audiences.
You are eager to learn new approaches, seek feedback, and continually improve skill sets.

Nice To Haves

Experience in high-growth or ambiguity-heavy environments (startups, consulting) a strong plus

Responsibilities

Own Deployments End-to-End: Lead voice agent implementations from discovery through go-live. Scope workflows, configure agents, run tests, and stay accountable for performance post-launch.
Tune and Improve: Monitor how our agents are performing, through conversation review and eval testing, and drive improvements with engineering
Uncover Gaps through Data: Dive deep in our data, setting up reporting and investigating aberrations to improve our product performance, reliability and effectiveness.
Identify Product Expansion Opportunities: Spot where voice can be improved, through new functionality or capabilities, based on deep knowledge of our technology and customer insights.
Build the Playbook: Tune our process, not just our agents. Turn one-off solutions into repeatable processes so the team scales without losing quality.