Jobs at 10a Labs

As a Senior Recruiting Manager, you will lead full-cycle recruiting, optimize talent acquisition processes, and improve people operations at 10a Labs. You'll partner with leadership to shape hiring strategies and enhance candidate experiences while managing operational efficiency within the recruiting function.

Design and optimize data pipelines for web scraping and processing data. Collaborate with ML engineers and develop APIs while preparing data for analysis.

Develop and run adversarial test suites for LLMs and image/video models, craft multilingual prompts, analyze outputs, and write vulnerability reports.

10a Labs seeks candidates for future roles in an inclusive environment. Successful fit candidates will be contacted for next steps in the hiring process.

Own budgeting, forecasting, and long-range planning; prepare monthly/quarterly/annual financial reports and variance analyses; manage cash flow forecasting and month/year-end close with external accountants; build financial models, KPIs, dashboards, and business cases; support audits, tax filings, fundraising, board reporting, and automation of reporting processes.

Build and automate secure, reproducible cloud infrastructure and tooling to support adversarial testing of AI systems. Collaborate with red teamers and engineers to reproduce, remediate, and simulate attacks, perform threat modeling and security reviews, and integrate security across the development lifecycle.

Lead and continuously improve the company's security and privacy compliance programs (SOC 2, GDPR, ISO 27001, Cyber Essentials Plus). Manage external audits, evidence collection, GRC tooling, vendor risk, customer security reviews, and compliance documentation. Partner with engineering, security, legal, and leadership to implement controls, run risk assessments, operationalize AI governance, produce metrics and executive reporting, and deliver organization-wide security and compliance training.

The Machine Learning Engineer will design, build, evaluate, and deploy ML systems, collaborating on projects in safety, security, and intelligence applications, while owning projects from initial research through to production.