How We Work

Every deployment is different. Healthcare providers run similar systems but operate them in ways that diverge in the details, and those details are where automations succeed or fail. Discovery is where we find them. AI is a first-class part of how we work; Claude and AI-assisted workflows are standard practice across the Conductor team, for engineers and non-engineers alike.

What You'll Do

Own Deployments End-to-End

Serve as a point of contact for client stakeholders from kickoff through go-live

Build and manage deployment plans, timelines, milestones, dependencies, and risk tracking

Drive deployment cadence through regular status updates and clear ownership across internal and client teams

Plan and coordinate user acceptance testing and drive formal sign-off

Lead Discovery and Scoping

Run in-depth discovery sessions on each workflow in scope with the teams who do the work, including scheduling, medical records, and imaging operations

Document current-state workflows and standard operating procedures, including volumes, handoffs, exceptions, and systems involved

Produce scoping documents covering workflow logic, inputs and outputs, edge cases, integration dependencies, acceptance criteria, and success metrics

Define success metrics during discovery so every build is tied to a measurable outcome before development starts

Drive Delivery Across Teams

Partner with engineers to resolve open questions, evaluate feasibility and trade-offs, and manage scope changes

Identify blockers, drive resolution, and keep teams aligned toward launch goals

Determine when client requests fall outside contracted scope and require additional scope, resources, or alternative solutions

Maintain deployment documentation and tickets so teams have clarity on priorities and next steps

Own Outcomes and Expansion

Track and report outcome metrics for live automations and review them with clients regularly

Identify adjacent workflows Conductor could automate and partner with sales to develop expansion opportunities

Translate patterns across deployments into product feedback and repeatable discovery and delivery templates

What We're Looking For

Experience

5-7 years in technical project management, implementation consulting, solutions delivery, or enterprise implementations, with accountability for execution and outcomes

Experience owning complex B2B deployments involving multiple stakeholders and dependencies, several at a time

Experience working with healthcare providers, or in similarly complex, regulated operational environments

Experience with EHR or RIS/PACS implementations, workflow automation, or integration-heavy enterprise software is a strong plus

Skills

Demonstrated ability to produce requirements or scope documentation that engineering teams have built from

Technical understanding of APIs, system integrations, and data flows.

Strong project management skills, including driving timelines, managing risks, and coordinating cross-functional teams

Excellent written and verbal communication with clients, executives, and front-line staff

Process improvement background is a plus

Ways Of Working

You bring structure to ambiguity and operate independently
You pay attention to the workflows adjacent to the ones you're deploying to expand the impact of conductor
You can manage multiple active deployments without dropping threads or cutting corners
AI is a core part of how you work. You automate your own workflows, prototype and pressure-test ideas with it, and treat it as a multiplier that lets you own more than possible without it.
You hold yourself to a high bar on both documentation quality and client outcomes