Own end-to-end enterprise AI agent deployments, from workflow discovery and configuration through launch, support, and scaled rollout, coordinating customer stakeholders and internal product and engineering teams.
AI Deployment Strategist
📜 Description
- Own end-to-end implementation for one or more clients, from kickoff through consistent product usage.
- Serve as the main point of contact for hospital directors, superintendents, and clinical coordinators.
- Coordinate field Onboarding Specialists, including hospital assignments, metrics tracking, and issue escalation.
- Analyze adoption data across hospitals to identify patterns, bottlenecks, and opportunities for action.
- Identify implementation risks early and translate field insights into feedback for product and engineering.
- Build the implementation playbook.
🛠️ Requirements
- 2–4 years of experience in consulting, implementation, or enterprise client management.
- Able to interpret data using dashboards, SQL queries, or equivalent tools.
- Comfortable presenting to and building relationships with senior stakeholders.
- Genuine curiosity about AI and interest in working closely with the technology.
- Fluent in English; Spanish is a plus.
- Ownership mindset and ability to take initiative.
Full job description
AI Deployment Specialist
Telepatia · São Paulo · On-site
Why Telepatia
The world's most scarce resource isn't time — it's medical attention. Doctors spend 40–70% of their day typing instead of caring for patients. At Telepatia, we're changing that.
We build real-time AI products for healthcare — medical transcription, clinical record generation, and EMR integrations across Brazil and Colombia. Our flagship, AI Doctor, is part of a suite of four AI Healthcare Employees built by doctors, for doctors.
What You'll Do
You'll own the deployment — responsible for making Telepatia work inside clients, from kickoff to consistent usage. You'll coordinate Onboarding Specialists in the field, be the main point of contact with hospital decision-makers, and ensure adoption metrics are on track.
Own the end-to-end implementation of one or more clients simultaneously;
Be the main point of contact with stakeholders: hospital directors, superintendents, and clinical coordinators;
Coordinate Onboarding Specialists in the field — hospital allocation, metrics tracking, issue escalation
Analyze adoption data across hospitals to identify patterns, bottlenecks, and opportunities and turn that into action;
Spot implementation risks before they become problems;
Translate field insights into clear feedback for product and engineering;
Help build the implementation playbook from scratch;
What You Need
2–4 years of experience in consulting, implementation or enterprise client management;
Comfortable reading and interpreting data — dashboards, SQL queries or equivalent. You don't need an analyst to tell you what's happening in your accounts
Comfortable presenting and building relationships with senior stakeholders;
Genuine curiosity about AI — you follow the space, have opinions, and want to work close to the technology;
Fluent in English and nice to have spanish— the entire company operates in English
Ownership mindset — you don't wait to be told what to do
Who Tends to Fit
Associates or consultants from strategy or tech consulting firms (Big 4, boutique, or similar) looking to move into a high-ownership operator role
Analysts or engineers who have worked client-facing and want more ownership over outcomes
Technical PMs or Business Analysts with experience in enterprise deployments
What You'll Find Here
You'll work at the intersection of AI and healthcare — a product that is actively changing how doctors practice medicine
Direct exposure to how large language models perform in real clinical environments
Paying clients, live product, real deployment operation
You'll build the implementation process — there's no manual yet
Multicultural team spanning Brazil and Colombia, operating fully in English
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