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Protege

17 open roles indexed with location, benefit, and apply-link signals where available.

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  • Forward Deployed Engineer, New Verticals

    Remote, United States

    remote Salary not disclosed

    Forward Deployed Engineer, New Verticals Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview We're hiring a founding Forward Deployed Engineer to help build a new vertical from the ground up. You'll be the first FDE dedicated to this vertical, working directly with the GM to define the market, strategy, and early commercial motion. Your job is to turn early customer demand into durable technical capability: defining what the vertical needs, building reusable infrastructure on top of our existing platform, and establishing the technical patterns that future engagements and future hires can build on. This is not a standard implementation role. It sits at the intersection of engineering, product judgment, and customer reality. You should be excited to work from first principles, operate in ambiguity, iterate

  • Forward Deployed Engineer, Healthcare

    Remote, United States

    remote Salary not disclosed

    Forward Deployed Engineer, Healthcare Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. About the Role Protege is hiring Forward Deployed Engineers to join our healthcare team. This is a hands-on role focused on end-to-end ownership of customer engagements, from initial feasibility through delivery and post-launch support. You'll be part of a team that works at the crossroads of customer needs, healthcare data, and our platform. You'll partner closely with our healthcare GM, Solutions Leads, and DataLab to navigate customer requirements. Within the team, FDEs take different shapes of engagement. Some work across many healthcare deals and customers, while others are dedicated to specific strategic accounts. Every FDE is meant to build the last-mile work that makes deals successful, surface the patterns that should become product, and continue

  • Senior Software Engineer, Data Processing

    Remote, United States

    remote Salary not disclosed

    Senior Software Engineer, Data Processing Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. About the Role Protege is hiring a Senior Software Engineer to own the data processing layer at ingestion - the part of the platform that takes large-scale source data and turns it into clean, structured, enriched, validated, AI-ready datasets. This is a hands-on, backend- and data-heavy role with end-to-end ownership of the pipelines that move and process data at volume. Protege connects organizations that hold high-value data with the AI builders who need it. The value of that exchange depends on what happens at ingestion: raw, varied, high-volume source data has to be processed reliably, securely, and at scale before it's useful to anyone. You'll work across imaging, audio, video, and other data modalities,

  • Accountant (Temporary)

    Remote, United States

    remote Salary not disclosed

    Accountant (Temporary) Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Join the Protege Finance Team on a limited term (approximately 4 months) What You'll Do: - Record transactions in our ERP (currently Quickbooks; switching to Campfire) and participate in month-end close including preparing journal entries - Manage vendor schedules and prepare domestic transfers and international wire transactions - Ensure deals are properly recorded, accurately reflecting gross and net revenue, as well as recording delivery and billing dates - Invoicing customers - Categorize transactions in Ramp and sync to ERP What Success Looks Like: - 30 days: Successfully assume AR / AP responsibilities. Participate in month end close - 60 days: Be able to lead month end close processes What You Bring: - Open to a limited term

  • Machine Learning Researcher, Audio

    Remote, United States

    remote Salary not disclosed

    Machine Learning Researcher, Audio Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview Data is the foundation of AI performance, and we believe model quality starts with data quality. For speech and audio models in particular, the bar for signal fidelity, consistency, and quality control is exceptionally high. We're seeking a Machine Learning Researcher focused on audio data quality, ML data evaluation, and quality control to lead the evaluation and optimization of large-scale speech datasets used to train audio, speech, and multimodal models. This role will be responsible not only for applying existing audio quality metrics, but also for researching how audio data quality should be evaluated for machine learning systems and developing new methods, benchmarks, and evaluation frameworks that better predict downstream model performance. You

  • Machine Learning Researcher, RL & Agentic Systems

    Remote, United States

    remote Salary not disclosed

    Machine Learning Researcher, RL & Agentic Systems Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. About DataLab DataLab exists because truly useful data is rare - and the frontier of AI development only moves forward when high-quality data makes it possible. We believe data is one of the most underdeveloped layers of the AI stack. Our work focuses on building and evaluating high-value datasets grounded in real-world workflows and economically meaningful tasks. We work across multiple domains to create safe, high-fidelity datasets that preserve the structure and context needed to train advanced AI systems. Our research spans data quality, evaluation design, privacy-preserving transformation, workflow reconstruction, and task-grounded AI training data. At DataLab, applied research is tightly connected to real-world deployment. Researchers work directly with large-scale datasets, production

  • GM, New Vertical

    Remote, United States

    remote Salary not disclosed

    GM, New Vertical Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview: As GM of a New Vertical, you will play a pivotal role in Protege's next phase of expansion - spearheading the launch of a new vertical from the ground up. This is a self-directed strategic, commercial, and partnerships role that demands both vision and execution. You'll be responsible for building the roadmap for entry in a new vertical, forging early partnerships that validate product-market fit, and growing the business. You'll create the right connections between model builders and data holders and make strategic decisions on prioritization as the vertical grows. This role requires navigating the data, deal, and startup complexities that come from solving problems no one has solved before. Key Responsibilities: - Collaborate

  • Director of Research, DataLab

    Remote, United States

    remote Salary not disclosed

    Director of Research, DataLab Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. About Protege We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on

  • Research Scientist, Benchmarks & Evaluations

    Remote, United States

    remote Salary not disclosed

    Research Scientist, Benchmarks & Evaluations Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. DataLab is Protege's research arm - a team of research scientists committed to tackling the fundamental challenges and open questions regarding data for AI. We bridge the gap between research theory and data deployment to push the frontier forward, publishing on the questions that matter: what agentic AI should actually be trained to do, how to quality-control large-scale corpora, and how to build evaluation datasets that reflect the real world rather than the leaderboard. We're a lean, fast-moving, high-trust team of builders who deeply care about scientific rigor and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. The Role

  • Vertical Sales Representative (Video)

    Remote, United States

    remote Salary not disclosed

    Vertical Sales Representative (Video) Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview Protege is seeking a Vertical Sales Representative with a specialization in video data for AI model training and evaluation. This role is responsible for driving revenue by helping organizations - including vertical AI labs, media companies, and enterprises - access, prepare, and scale high-quality video datasets used to train and improve AI models. This is a full ownership sales role. You will be responsible for building, managing, and closing pipeline, supported by outbound/BDR and marketing resources, while also proactively sourcing and creating your own opportunities. The ideal candidate brings a strong, early-stage sales background combined with fluency in AI and data use cases, and can translate complex data requirements into clear, actionable commercial

  • Solutions Applied Data Scientist, Healthcare

    Remote, United States

    remote Salary not disclosed

    Solutions Applied Data Scientist, Healthcare Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview We are hiring a Solutions Applied Data Scientist to help design, construct, and validate complex healthcare data cohorts used for AI model training. This role sits within the delivery organization , working closely with Solutions Leads and delivery engineers to solve complex data challenges that arise during customer projects. - Solutions Leads own the customer relationship and overall delivery of projects. The Solutions Applied Data Scientist serves as their technical partner for more complex data problems , including cohort construction, multi-source dataset assembly, feasibility analysis, and data validation. - You will help translate research generated by Protege's Data Lab and customer requirements into practical dataset definitions, determine whether those requirements can be

  • Senior Researcher, Diffusion & Vision

    Remote, United States

    remote Salary not disclosed

    Senior Researcher, Diffusion & Vision Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. DataLab is Protege's research arm - a team of research scientists committed to tackling the fundamental challenges and open questions regarding data for AI. We bridge the gap between research theory and data deployment to push the frontier forward, publishing on the questions that matter: what agentic AI should actually be trained to do, how to quality-control large-scale corpora, and how to build evaluation datasets that reflect the real world rather than the leaderboard. We're a lean, fast-moving, high-trust team of builders who deeply care about scientific rigor and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. The Role

  • Head of Security & IT

    Remote, United States

    remote Salary not disclosed

    Head of Security & IT Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Purpose We're hiring our first Head of Security & IT to own security end-to-end: strategy, architecture, operations, and culture. This is a hands-on leadership role and you won't have a large team beneath you (yet), so you need to be comfortable building the program from the ground up while still getting into the technical weeds. You'll report directly to the VP of Engineering and work closely with engineering, product, and legal. This is a high-impact role where you'll shape how we earn and keep the trust of AI companies and our data partners. What You'll Do: - Mature the Security & Compliance Program - Audit and improve the existing security program by identifying gaps,

  • Partner Data Operations Lead (Healthcare)

    Remote, United States

    remote Salary not disclosed

    Partner Data Operations Lead (Healthcare) Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview: We're looking for a Partner Data Operations Lead (Healthcare) to operationalize and scale the data partner ecosystem that powers Protege's healthcare AI products. You will own execution - ensuring each healthcare partner is successfully onboarded, technically integrated, commercially aligned, and consistently delivering on customer engagements. You will sit at the intersection of partnerships, science, product, and customer delivery - translating signed agreements into reliable, high-quality data supply. This role requires deep understanding of healthcare data operations, strong cross-functional coordination, and the ability to manage complexity across multiple concurrent deals. Key Responsibilities: Operationalize Healthcare Data Partnerships - Lead onboarding of new healthcare data partners, establishing repeatable operational playbooks - Coordinate secure data access,

  • Product Manager, Privacy, Rights & Trust

    Remote, United States

    remote Salary not disclosed

    Product Manager, Privacy, Rights & Trust Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview We're hiring a Product Manager - Privacy, Rights & Trust to own a high-impact, 0-to-1 product value stream at Protege. This is a senior product role responsible for the vision, roadmap, and execution of our privacy and data trust capabilities. The scope spans three interconnected problems: translating research into product, building the right vendor and partner network, and ensuring what we build is credible with customers, data partners, and third-party experts. Success in this role means choosing the right first wedge, scoping it with discipline, and building a product direction that is not just functional, but trusted. What You'll Do Own the privacy product from discovery through execution - Drive discovery

  • Solutions Engineer, Media

    Remote, United States

    remote Salary not disclosed

    Solutions Engineer, Media Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview We're hiring a Solutions Engineer for our media vertical to connect Protege's media catalog with customer AI data needs. This is not a traditional modeling role. It is an applied data curation and delivery role for fast-moving, ambiguous environments where both speed and quality matter. You will work with imperfect, evolving partner datasets and build strategies to normalize, validate, and operationalize them for downstream AI use cases. You'll become an expert in Protege's growing catalog of audio, video, and motion capture content - from longform assets with title-level metadata to clip-level content generated with TwelveLabs embeddings. At a high level, you will understand what customers are building, identify the content that best fits their

  • Business Development Representative

    Remote, United States

    remote Salary not disclosed

    Business Development Representative Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview: Our Business Development Representative is responsible for building a high-quality pipeline across our different vertical business units through disciplined, insight-led outbound prospecting. Focusing on organizations that provide real-world data for model development, you'll run targeted sequences, qualify opportunities rigorously, and be responsible for prospecting execution. You'll also help test and validate new outreach hypotheses for new customer personas in close coordination with sales and the General Managers of each of the verticals. Key Responsibilities: - Build and maintain a focused ICP target list for your assigned verticals. Avoid random outreach. - Run daily outbound sequences (email, LinkedIn, calls) to generate qualified meetings. - Prospect into Protege's core wedge in each vertical: high-value real-world data