About the Role
As a Deployment Lead at Translucent, you’ll own the end-to-end deployment of our AI financial analyst at major health systems. Working closely with Forward‑Deployed Engineers, Product, and AI Engineering, you’ll drive customers from signed contract to live platform — navigating complex stakeholders, technical integrations, and the messy realities of healthcare data along the way. This is a client‑facing, execution‑heavy role that sits at the intersection of project delivery and strategic relationship management — embedded, high‑trust, and deeply accountable for customer outcomes.
Responsibilities
- Own the full deployment lifecycle — scoping, data integration, configuration, validation, QA, go‑live, and post‑launch adoption — at enterprise health systems
- Manage complex stakeholder environments across CFOs, data teams, IT, and clinical operations, aligning diverse teams toward shared deployment goals
- Partner with Forward‑Deployed Engineers, product, and engineering to drive technical workstreams, unblock integration challenges, and close the loop on field observations — you’re a primary voice for what our customers actually need
- Build client trust in both deterministic and AI‑generated outputs — know the difference, communicate it clearly, and design the validation process that gets customers to confident
- Create structure where there isn’t any: own the project plan, drive accountability on both sides, and elevate proactively when things slip
- Capture learnings from each deployment and translate them into reusable playbooks, integration templates, and product feedback that make future deployments faster
What You Bring
- 4+ years in a deployment, implementation, or forward‑deployed role at an enterprise software or technology company
- Proven track record owning enterprise client relationships in technically complex, high‑stakes environments
- Strong project execution instincts: you drive workstreams, hold clients accountable for their side, and create structure in ambiguity
- Technical credibility without being a builder — you can talk data, integrations, and systems fluently, and you know what you don’t know
- Clear, direct communicator who can present to a CFO and a data engineer on the same day and land with both
- Fast learner: comfortable ramping on unfamiliar domains, doing your own research, and synthesizing quickly
- Startup realist: ready to sprint when priorities shift, operate without a playbook, and figure things out independently
Bonus Points
- Healthcare domain knowledge (revenue cycle, financial operations, payer dynamics)
- Experience deploying AI or analytics products where building trust in outputs is part of the work
- Familiarity with common healthcare data systems (EHR, ERP, and related platforms)
- Background in a high‑growth startup or early‑stage environment
Anticipated compensation: $175,000 - $225,000