Protege

Leads sourcing, partner and customer coordination, outbound pipeline development, and delivery of audio training data for an emerging business vertical. The role requires strong organization, communication, commercial judgment, and comfort operating in ambiguity.

Own end-to-end field marketing events and activations across New York City, London, the East Coast, and Europe, connecting execution to pipeline, account expansion, and community outcomes. The role requires strong hosting, vendor coordination, project management, scrappiness, and generalist marketing skills.

Build the technical foundation for a new business vertical, creating reusable infrastructure and leading early customer engagements from scoping through delivery. The role requires 3+ years of engineering experience, strong Python and SQL skills, backend/data expertise, and comfort operating in ambiguity.

Own end-to-end technical delivery for healthcare customer engagements, including integrations, data transformations, applications, and post-launch support. The role requires customer-facing communication, sound judgment with PHI and regulated data, and the ability to turn bespoke solutions into reusable platform capabilities.

Own the technical success of video-data customers while building scalable tooling and platform capabilities for dataset curation, processing, quality measurement, and delivery. The role requires 3+ years of engineering experience, media-data expertise, customer-facing communication, and end-to-end ownership in an ambiguous environment.

Own technical delivery for audio customers while building reusable systems, tooling, and playbooks that scale the audio vertical. The role requires 3+ years of engineering experience, customer-facing ownership, large-scale data systems expertise, and comfort with ambiguity and fast-paced work.

The Partnerships Business Development Representative will build an always-on pipeline of healthcare data partners through market mapping, outbound sourcing, discovery, qualification, and data-driven funnel management. The role suits an organized, metrics-oriented business development professional with healthcare data or partnership experience.

Manages healthcare data partners from qualification through evaluation, activation, and portfolio growth, partnering across commercial, technical, and operational teams. The role requires strong relationship management, execution, prioritization, and experience with healthcare data, AI ecosystems, licensing, or sample evaluation workflows.

Owns full-cycle recruiting for critical technical roles, partnering with hiring managers to source, assess, and close exceptional talent. Requires 7+ years of recruiting experience, strong technical sourcing judgment, and the ability to operate independently in a fast-moving technology startup.

Conducts customer-facing applied research to determine whether healthcare datasets can support AI model development and evaluation. The role combines ML/LLM method development, healthcare data analysis, feasibility studies, and collaboration with technical and data partnerships teams.

Builds end-to-end features for internal and customer-facing data catalog products using TypeScript, React, Next.js, Postgres, and AWS. The role combines interface design, full-stack implementation, testing, and direct collaboration with users handling large, multimodal datasets.

Builds benchmarks, model evaluations, and backend infrastructure for an AI data platform’s Benchmarks and Evaluations vertical. The role requires 4+ years of engineering experience, hands-on model evaluation, and prior ownership of backend and infrastructure systems.

Own and grow relationships with 2-4 Foundation AI labs (OpenAI, Anthropic, etc.) to drive multi-year data partnerships and significant GMV. Map accounts, lead discovery, orchestrate internal teams, structure complex deals, and translate researcher needs into solutions.

Senior full-stack engineer building internal dashboard and customer portal for multimodal AI training data catalog and licensing. Own complex data-heavy UIs end-to-end (design, API, data model) in TypeScript/Next.js, make large media datasets feel instant in browser, collaborate directly with users.

Product Manager owning the data ingestion and quality platform at Protege, turning raw partner data into trustworthy, catalog-ready assets via validation gates, metadata pipelines, QA standards, and de-identification. Requires 4-7 years PM experience on data pipelines/ingestion with hands-on SQL and raw data debugging skills.

Solutions Lead guiding healthcare customers to define, source, QA, and deliver high-quality multimodal medical datasets (EHR, imaging, claims) for AI model training. Requires deep healthcare data expertise, SQL/Python analytics, customer-facing program management, and HIPAA/privacy knowledge.

As a founding Forward Deployed Engineer, you will build a new vertical from the ground up, defining its technical needs, building reusable infrastructure, and leading early customer engagements. This role requires strong engineering generalist instincts and the ability to operate in ambiguity.

Protege is hiring Forward Deployed Engineers to join their healthcare team. This role involves end-to-end ownership of customer engagements, building custom solutions, and bridging customer needs with product capabilities.

As a Senior Software Engineer, Data Processing, you will own the data processing layer at ingestion, building and operating systems that transform large-scale source data into clean, structured, AI-ready datasets. This is a hands-on, backend- and data-heavy role with end-to-end ownership of data pipelines.

As a Machine Learning Researcher specializing in audio, you will lead the evaluation and optimization of large-scale speech datasets for AI models. This involves researching audio data quality, developing new metrics and evaluation frameworks, and translating insights into practical tools to improve model performance.

As a Machine Learning Researcher, you will design and evaluate datasets, tasks, and environments for advanced AI systems, focusing on RL and agentic systems. You will develop frameworks for data quality, benchmark model behavior, and build scalable evaluation tooling.

Lead Protege's DataLab research organization, defining strategy for AI training data quality, evaluation systems, and marketplace optimization while managing researchers and partnering with Product, Engineering, and GTM.

Leads end-to-end security strategy, architecture, operations, and culture for AI training data platform. Builds compliance programs (SOC 2, HIPAA), secures data pipelines, conducts technical reviews, and fosters security-aware culture. Requires 8+ years security experience with 2+ in leadership.