Forward Deployed Engineer, Data De-Identification

🏢 Tonicai · 📍 Remote · 💼 remote · ⏰ FullTime

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Position Summary & Responsibilities

About Tonic.ai

Tonic.ai has been de-identifying sensitive data since 2018, and hundreds of enterprises use our products, among them eBay, UnitedHealth Group, Qualcomm, Commonwealth Bank, and Mercor. Our newest line of business takes that work somewhere it hasn't gone before: company operating data. Email, chat, tickets, documents, code, CRM and HR records are some of the most valuable training data left for AI labs, and almost none of it can change hands until the people in it are protected.

We sit between the company that owns the data and the lab that wants it, as the independent third party. We take in the corpus, find the people and organizations referenced across all of those systems, give each real identity one consistent synthetic replacement, rebuild every file in its original format, and deliver the result with a written report on how it was done. The data still reads like a company doing its work, which is what makes it worth training on.

Why this role, why now

Demand is running ahead of our capacity to deliver. Labs are buying, data owners are selling, and the buyers want datasets in days to weeks, not quarters. The technology can meet that timeline. What turns it into a delivered dataset is an engineer who can take a messy, half-documented corpus from a new client, get it through the pipeline, catch what breaks, and ship something both sides will sign off on.

That's this job. You’ll be one of the first engineers dedicated to this business, working directly with our technical founders, data science team and platform engineers, and getting close to the frontier AI labs that are the end buyers of this data.

What you'll do

Own the delivery of client de-identification projects, from the first look at the raw data to a dataset the client accepts.
Run each corpus through our de-identification pipeline and check the output for accuracy: missed entities, wrong replacements, identities merged or split incorrectly, files that won’t rebuild.
Diagnose problems as they

🎯 Candidate Preparation Guide For Tonicai Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

The core evaluation hones in on your rigorous understanding of data privacy compliance, synthetic data generation mechanics, and enterprise sales readiness.

📋 Preparation Priorities (Key Areas to Clarify):

1. Hand-waving privacy risks or showing ignorance regarding statistical leakage in synthetic datasets.
2. Failing to grasp enterprise security and compliance procurement blockers.
3. Treating synthetic data generation as a simple data-augmentation script rather than a deep infrastructure problem.

✨ Recommended Role Alignment Hook:

I help enterprises unlock trapped data assets by building high-fidelity synthetic data pipelines that guarantee total privacy compliance.

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