2 months ago

Head of Research, DataLab

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Lead Protege's DataLab to define and execute a strategic research agenda around data for AI. Build rigorous experimentation and evaluation systems, align research with product and GTM goals, and translate complex AI/data questions into actionable roadmaps, measurable experiments, and customer-facing impact while scaling a high-performing team.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•Define and execute the DataLab research strategy, aligning experimentation with company priorities and product direction.
•Partner with Product, Engineering, and GTM teams to identify high-value research opportunities tied to AI data quality, evaluation, and marketplace performance.
•Design and oversee experiments that evaluate dataset quality, model performance, synthetic data workflows, and privacy-preserving methodologies.
•Build scalable systems for benchmarking, labeling quality analysis, and training data evaluation across multiple AI modalities.
•Lead, manage, and scale a high-performing team of researchers and data scientists, driving execution and career development across DataLab.

Key Requirements

•Led impactful research initiatives in AI, machine learning, data infrastructure, or applied research environments where outcomes influenced product or business strategy.
•Built and managed high-performing research teams with autonomy, technical rigor, and fast execution cycles.
•Experience partnering directly with customers, GTM teams, or external stakeholders in applied technical settings, with the ability to communicate research value credibly.
•Developed frameworks for evaluating model performance, dataset quality, synthetic data, or large-scale experimentation systems.
•Experience operating in ambiguous, fast-moving environments where priorities evolve quickly and execution matters.

Experience:AIData scienceResearch

Skills:LeadershipCommunicationCollaborationStrategic thinkingPrioritization

Languages:English

Tech Stack:Foundation modelsLLM evaluationData infrastructurePrivacy-preserving methodologies

Company Brief

Protege

Provides a privacy‑first platform that connects data holders with vetted AI developers to license and deliver high‑quality, multimodal training and evaluation datasets across healthcare, media, audio, and motion capture.

Industry: Data Infrastructure

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York City, United States

Founded: 2024

Website LinkedIn

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Protege

2 months ago

Head of Research, DataLab

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•Define and execute the DataLab research strategy, aligning experimentation with company priorities and product direction.
•Partner with Product, Engineering, and GTM teams to identify high-value research opportunities tied to AI data quality, evaluation, and marketplace performance.
•Design and oversee experiments that evaluate dataset quality, model performance, synthetic data workflows, and privacy-preserving methodologies.
•Build scalable systems for benchmarking, labeling quality analysis, and training data evaluation across multiple AI modalities.
•Lead, manage, and scale a high-performing team of researchers and data scientists, driving execution and career development across DataLab.

Key Requirements

•Led impactful research initiatives in AI, machine learning, data infrastructure, or applied research environments where outcomes influenced product or business strategy.
•Built and managed high-performing research teams with autonomy, technical rigor, and fast execution cycles.
•Experience partnering directly with customers, GTM teams, or external stakeholders in applied technical settings, with the ability to communicate research value credibly.
•Developed frameworks for evaluating model performance, dataset quality, synthetic data, or large-scale experimentation systems.
•Experience operating in ambiguous, fast-moving environments where priorities evolve quickly and execution matters.

Experience:AIData scienceResearch

Skills:LeadershipCommunicationCollaborationStrategic thinkingPrioritization

Languages:English

Tech Stack:Foundation modelsLLM evaluationData infrastructurePrivacy-preserving methodologies

Company Brief

Protege

Industry: Data Infrastructure

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York City, United States

Founded: 2024

Website LinkedIn