Software Engineer, Privacy & Data Governance
Thinking Machines Lab12 days ago
Base Salary
$300k - $350k/yr
Responsibilities
- Build and operate data classification, retention, deletion, privacy-control, and data-governance systems across internal systems.
- Implement isolation guarantees that protect customer and user data, including Tinker training data and interface conversations.
- Run privacy reviews and threat models for data sources, training runs, and product features, then ship the required controls, checks, or tooling.
- Translate GDPR, CCPA, and contractual requirements into policy-as-code, CI checks, and pipeline enforcement.
- Maintain shared privacy libraries and guardrails that make privacy-preserving behavior the default.
Requirements
- Must have shipped and operated at least one production privacy or data-governance system, such as a retention or deletion pipeline, policy engine, data catalog, lineage system, or consent system.
- Must have written and operated production code in Python or a comparable language and be able to explain its behavior, failure modes, and debugging approach.
- Must have direct experience enforcing privacy or governing data in an AI/ML pipeline and be able to describe a privacy risk identified or mitigated there.
- Must demonstrate pragmatic control selection and experience translating legal or policy obligations such as GDPR or CCPA into technical requirements and controls.
- Preferred qualifications include AI-lab or ML-infrastructure experience, privacy-enhancing techniques, data lineage or policy tooling, large-scale deletion and retention systems, security-engineering collaboration, and early-stage privacy-function building.
Benefits
- Generous health, dental, and vision benefits.
- Unlimited PTO and paid parental leave.
- Relocation support as needed.
- Based in San Francisco, California.
- Annual salary range of $300,000 - $350,000 USD.
- Visa sponsorship is available, with a commitment to work through the visa process for the right fit, though success is not guaranteed.
About Thinking Machines Lab
Thinking Machines Lab develops AI and generative AI software and conducts applied research to help organizations make data-driven decisions. The company builds products and data science solutions for enterprise use cases, pairing foundational models with practical tooling and services across industries. It is privately held and headquartered in San Francisco.