# Tech Lead Manager, Frontier Data Products at Mercor

- Company: Mercor
- What the company does: Mercor is organizing human intelligence to power the AI economy. We are powering frontier research, AI benchmarks, and AI agent training at scale for the top AI labs and enterprises. Backed by General Catalyst and Menlo.
- Company website: https://mercor.com/
- Type: Startups
- Level: Senior
- Location: New York City
- Work setup: On-site
- Pay: $300K to $420K base salary per year (USD)
- Posted: 2026-09-08
- Apply by: 2026-10-23
- Apply: https://jobs.ashbyhq.com/mercor/cbff2229-0bf0-4ca4-a794-fb3ff358e8e6
- Page: https://www.1752.vc/careers/jobs/mercor-tech-lead-manager-frontier-data-products/

## About the role

Frontier models increasingly depend on data that goes beyond text: images, video, audio, documents, and combinations of these modalities. Turning that raw material into useful data products is technically difficult. Each modality has different formats, quality failures, processing costs, privacy considerations, and review workflows. The final product still needs to be consistent, traceable, and trustworthy. Mercor’s Frontier Data Products team builds the systems that make these products possible.

## What they're looking for

- Experience managing a strong engineering team while remaining an effective, hands-on technical leader
- Deep experience designing and operating production backend, distributed, or data-intensive systems
- Experience working with large unstructured data, asynchronous processing, metadata and versioning, or compute-heavy workflows
- Relevant experience in at least one area such as multimedia infrastructure, computer-vision data, video or audio processing, ML platforms, annotation systems, or human-in-the-loop products
- Strong judgment about platform boundaries: what should be generalized across modalities and what should remain modality-specific
- A track record of taking ambiguous, zero-to-one products through architecture, launch, and sustained production operation

Tags: Engineering