Mercor Tech Lead Manager for Mercor’s Frontier Data Products team, leading development of multimodal data products at scale. Split role between technical contribution and people leadership, including writing code and hiring/coaching team members.
Responsibilities
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.
As Tech Lead Manager, you will lead the team responsible for turning complex multimodal inputs into reliable, customer-ready data products at scale. This is a player-coach role, split roughly evenly between technical contribution and people leadership. You will write and review production code, own important architecture decisions, and help resolve the hardest production problems.
Set the technical and product strategy for Mercor’s multimodal data products.
Design systems that support the full lifecycle of image, video, audio, document, and mixed-media data—from initial inputs through processing, review, validation, versioning, and delivery.
Create reusable abstractions across modalities while preserving the differences that matter for quality, performance, and customer requirements.
Build quality systems that combine automated evaluation, model-assisted checks, expert review, sampling, and adjudication.
Ensure that every output is traceable: what produced it, what changed, how it was evaluated, and why it was accepted.
Own the reliability, performance, and cost of storage-heavy, compute-intensive, long-running workflows.
Stay hands-on by writing production code, leading design reviews, and directly contributing to the team’s most consequential technical work.
Manage and develop engineers through clear expectations, frequent feedback, thoughtful delegation, and meaningful ownership.
Partner with product, ML, operations, and customer-facing teams to turn new customer needs into durable product capabilities rather than one-off solutions.
Recruit and onboard engineers who raise the team’s technical and execution bar.
Qualification
A track record of taking ambiguousEvidence that you can recruit
Preferred
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.
Evidence that you can recruit, coach, and retain excellent engineers while maintaining a high performance bar.
