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 Healthcare Solutions Lead to guide prospects and customers through the definition and delivery of healthcare datasets. This is a customer-facing, technically grounded role that sits at the intersection of solution design, program delivery, and data quality.
Your job is to understand what customers are building, identify the healthcare data that best fits their needs, and assemble high-quality samples and final deliveries that meet both technical and conceptual requirements. You will operate across modalities including EHR, claims, radiology, pathology, and unstructured text, while keeping timelines, milestones, and risks clear from feasibility through final handoff.
At its core, this role is about creating clarity in ambiguous situations: translating customer needs into a structured plan, coordinating the right internal and external partners, and ensuring the final dataset is both usable and trustworthy.
What You'll Do
Lead solution design and customer delivery
Translate customer requirements into clear dataset plans, delivery scopes, milestones, and execution paths.
Serve as a primary customer contact, managing expectations and keeping technical decisions legible throughout the process.
Lead end-to-end program management from initial specification through QA, packaging, and final delivery.
Own the technical and analytical work behind delivery
Use SQL and Python to construct cohorts, evaluate data readiness, validate coverage, and support customer-specific requirements.
Assess tradeoffs across modalities, sources, and delivery approaches to determine what is feasible and highest-value.
Create structured plans that connect solution architecture, partner constraints, privacy requirements, and delivery execution.
Drive quality, compliance, and partner coordination
Oversee QA for complex healthcare datasets, including EHR, claims, radiology, pathology, and unstructured text.
Work with Protege data partners to source and refine healthcare datasets needed for active opportunities and deliveries.
Partner with privacy stakeholders to ensure HIPAA-aware handling and appropriate safeguards throughout the delivery process.
Create leverage for the team
Bring order to multiple simultaneous projects and keep priorities, risks, and dependencies visible.
Identify repeatable improvements to planning, QA, communication, and delivery workflows.
Help the team get better at moving quickly without losing rigor, trust, or customer clarity.
What Success Looks Like
30 days: Learn the system. Build a strong understanding of the healthcare delivery motion, the core modalities, the partner network, and the biggest execution risks in the current process.
60 days: Own meaningful work. Run live customer or delivery workstreams with clear plans, credible QA, and strong cross-functional coordination.
90 days: Create leverage. Independently manage complex healthcare opportunities while improving the operating rhythm, the quality bar, and the team's ability to scale.
What You Bring
Strong customer-facing experience and comfort leading technical conversations with clarity and confidence.
Analyst-first mindset with deep hands-on fluency in SQL and Python for cohorting, coverage analysis, and data-readiness work.
Deep familiarity with healthcare data modalities such as EHR, claims, radiology, pathology, and unstructured text.
Experience bringing order to multiple simultaneous projects with changing priorities and real deadlines.
Familiarity with privacy-preserving techniques and the practical quality requirements of healthcare data delivery.
Experience in healthcare AI, ML products, enterprise data platforms, or similarly technical healthcare environments.
Startup comfort, strong ownership, and a high bar for kindness and follow-through.
Working with Protege
We move fast - thoughtfully. Speed matters in what we're building, and so does intention. We're biased toward action and always learning.
We're a lean, high-trust team. Everyone has real ownership. Clarity and autonomy drive our best work.
We take our work seriously, not ourselves. We solve hard problems with humility and celebrate wins - big and small.
We're kind, direct, and inclusive. We give feedback early and often, with the goal of helping one another grow.
We're builders at heart. Every person at Protege is hands-on, resourceful, and focused on creating momentum.
We grow fast - together. You'll be surrounded by people who care about impact, who challenge you to think bigger, and who are genuinely excited about what comes next.
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
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.
Protege is hiring a Forward Deployed Engineer, Healthcare to own customer-facing technical engagements from initial scoping through post-engagement support.
This role sits at the intersection of software engineering, solution architecture, and customer partnership. The person in this seat will build custom solutions, navigate healthcare data environments, and translate customer needs into practical technical execution across Protege’s product and platform.
As Protege expands its healthcare business, customers and data partners need tailored implementation support and technical expertise in complex, regulated environments. This role is critical to accelerating customer and data partner outcomes, ensuring success across a growing portfolio of engagements, and identifying repeatable implementation patterns that can become scalable product capabilities.
This role sits at the center of a vertical that is growing extremely rapidly. You'll be managing customer and partner relationships, technical engagements, and architecture decisions at the same time. The pace is fast, the ambiguity is real, and when deals are live, availability outside standard hours is part of the job. If this type of environment and growth excites you, there could be a strong fit. If this is not something you are actively looking for, this likely is not the correct role.
Lead technical work from initial scoping through implementation, data ingestion, and continued refreshes.
Become the primary technical partner for assigned healthcare data partners.
Build trusted relationships with customer engineering and technical teams.
Manage multiple concurrent healthcare engagements while maintaining quality and customer confidence.
Develop and deploy integrations, data transformations, and applications that solve customer-specific challenges.
Navigate customer technical environments and adapt Protege’s platform capabilities to real-world deployment constraints.
Translate ambiguous customer needs into clear technical plans, milestones, and practical implementation paths.
Identify where customer-specific work points to repeatable product opportunities.
Surface actionable product feedback based on implementation patterns, customer pain points, and blockers.
Partner with product and engineering to turn bespoke solutions into reusable platform capabilities where appropriate.
Handle healthcare data environments with appropriate care, including PHI and regulatory considerations.
Make sound technical decisions in complex, regulated settings.
Communicate clearly with customers and internal teams about tradeoffs, risks, dependencies, and implementation choices.
Contribute playbooks, tooling, templates, and best practices that improve future healthcare deal execution.
Document repeatable patterns and lessons from customer engagements.
Help Protege move faster over time by turning one-off implementation work into reusable assets.
The FDE has built context on Protege’s healthcare customer motion, platform capabilities, common implementation needs, and regulated data considerations. They are supporting an active customer engagement with guidance.
The FDE is independently leading a scoped customer engagement or technical workstream, building trust with customer technical teams, and delivering against customer requirements and timelines.
The FDE is independently managing multiple healthcare customer engagements, contributing reusable playbooks or tooling, and surfacing product feedback that helps convert bespoke implementation patterns into scalable capabilities.
Experience in software engineering, solution architecture, forward deployed engineering, technical implementation, or a similar customer-facing technical role.
Ability to own customer engagements from scoping to repeated support.
Strong technical execution across custom solutions, integrations, data transformations, and/or applications.
Comfort operating in healthcare data environments, including sensitivity to PHI and regulatory considerations.
Strong customer-facing communication and ability to build trust with technical stakeholders.
Ability to bridge customer needs with product and platform capabilities.
High ownership, adaptability, and comfort operating in ambiguous, fast-moving environments.
Bias toward creating reusable systems, playbooks, tooling, and best practices rather than solving the same problem repeatedly.
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
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 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
The Head of Research will lead Protege's DataLab as a strategic research function focused on answering the hardest questions about data for AI. This person will define the research agenda, build rigorous systems for experimentation and evaluation, and ensure DataLab's work directly informs product direction, customer strategy, and platform capabilities.
This is both a leadership and builder role. The right person can set a clear research roadmap, manage and scale a high-performing team, partner across Product, Engineering, GTM, and Leadership, and translate ambiguous technical questions into practical frameworks, measurable experiments, and actionable recommendations.
The Director of Research will work closely with GTM across sales, delivery, and partner conversations — bringing technical credibility into the room when it matters and representing Protege’s research perspective externally.
What You'll Do
Define and lead the research strategy for Protege's Data Lab, aligning experimentation with company priorities and product direction.
Partner closely 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.
Serve as a customer-facing research partner to GTM, representing DataLab in sales, technical discovery, delivery, and customer strategy conversations while translating research depth into practical guidance that helps Protege deliver value to our partners and customers.
Translate ambiguous technical questions into clear research frameworks, measurable hypotheses, and actionable recommendations.
Publish internal research findings that directly influence product decisions, customer strategy, and platform capabilities.
Lead, manage, and scale a high-performing team of researchers and data scientists, driving execution, technical excellence, and career development across the Data Lab organization.
Establish operational rigor around experimentation, reproducibility, and research documentation.
Represent Protege externally through technical conversations with customers, partners, and the broader AI ecosystem.
Stay at the forefront of advancements in foundation models, evaluation methodologies, data infrastructure, and AI alignment research.
What Success Looks Like
30 Days: Learn and Assess
Build a deep understanding of Protege's platform, customer workflows, and current research priorities.
Meet cross-functional stakeholders across Product, Engineering, GTM, and Leadership to understand strategic goals and existing technical challenges.
Audit current Data Lab workflows, experimentation infrastructure, and evaluation methodologies.
Identify immediate opportunities to improve research velocity, rigor, and cross-functional communication.
60 Days: Establish Direction and Build Momentum
Deliver a clear research roadmap aligned to company priorities and platform differentiation.
Launch initial experiments focused on data quality, evaluation systems, or marketplace optimization.
Introduce standardized processes for experiment tracking, documentation, and reproducibility.
Develop hiring plans and organizational structure for scaling the Data Lab function.
90 Days: Drive Measurable Impact
Deliver research insights that directly influence product roadmap decisions or customer outcomes.
Demonstrate measurable improvements in experimentation speed, evaluation quality, or data performance metrics.
Establish Protege's Data Lab as a trusted strategic partner across Engineering, Product, and GTM.
Recruit, onboard, and effectively lead key technical talent to support long-term research initiatives and company growth.
What we're looking for
You have:
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 that operated with autonomy, technical rigor, and fast execution cycles.
Experience partnering directly with customers, GTM teams, or external stakeholders in applied technical settings, with the judgment to represent both the research and business value of complex AI/data work clearly and 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 evolved quickly and execution mattered.
Strong ability to communicate complex technical findings to both technical and non-technical audiences.
Demonstrated ownership of cross-functional initiatives spanning research, engineering, product, and go-to-market teams.
Track record of translating research into practical systems, tools, or customer-facing impact.
Experience working with modern AI systems, foundation models, LLM evaluation workflows, or privacy-centric data methodologies.
High judgment, strong prioritization skills, and comfort making decisions with incomplete information.
Motivated by building from first principles and solving foundational problems in AI infrastructure.
Protege's Values
Pass the Loved Ones' Test
We act with integrity and do the right thing - especially when it's hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
","descriptionPlain":"Company Overview:\n\nWe 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.\n\nSolving 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.\n\nWe’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.\n\n\n\nAbout Protege\n\nWe 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.\n\nSolving 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.\n\nWe'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.\n\n \n\nDataLab 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.\n\nWe'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.\n\nThe Role\n\nThe Head of Research will lead Protege's DataLab as a strategic research function focused on answering the hardest questions about data for AI. This person will define the research agenda, build rigorous systems for experimentation and evaluation, and ensure DataLab's work directly informs product direction, customer strategy, and platform capabilities.\n\nThis is both a leadership and builder role. The right person can set a clear research roadmap, manage and scale a high-performing team, partner across Product, Engineering, GTM, and Leadership, and translate ambiguous technical questions into practical frameworks, measurable experiments, and actionable recommendations.\n\nThe Director of Research will work closely with GTM across sales, delivery, and partner conversations — bringing technical credibility into the room when it matters and representing Protege’s research perspective externally.\n\nWhat You'll Do\n\n - Define and lead the research strategy for Protege's Data Lab, aligning experimentation with company priorities and product direction.\n\n - Partner closely with Product, Engineering, and GTM teams to identify high-value research opportunities tied to AI data quality, evaluation, and marketplace performance.\n\n - Design and oversee experiments that evaluate dataset quality, model performance, synthetic data workflows, and privacy-preserving methodologies.\n\n - Build scalable systems for benchmarking, labeling quality analysis, and training data evaluation across multiple AI modalities.\n\n - Serve as a customer-facing research partner to GTM, representing DataLab in sales, technical discovery, delivery, and customer strategy conversations while translating research depth into practical guidance that helps Protege deliver value to our partners and customers.\n\n - Translate ambiguous technical questions into clear research frameworks, measurable hypotheses, and actionable recommendations.\n\n - Publish internal research findings that directly influence product decisions, customer strategy, and platform capabilities.\n\n - Lead, manage, and scale a high-performing team of researchers and data scientists, driving execution, technical excellence, and career development across the Data Lab organization.\n\n - Establish operational rigor around experimentation, reproducibility, and research documentation.\n\n - Represent Protege externally through technical conversations with customers, partners, and the broader AI ecosystem.\n\n - Stay at the forefront of advancements in foundation models, evaluation methodologies, data infrastructure, and AI alignment research.\n\nWhat Success Looks Like\n\n30 Days: Learn and Assess\n\n - Build a deep understanding of Protege's platform, customer workflows, and current research priorities.\n\n - Meet cross-functional stakeholders across Product, Engineering, GTM, and Leadership to understand strategic goals and existing technical challenges.\n\n - Audit current Data Lab workflows, experimentation infrastructure, and evaluation methodologies.\n\n - Identify immediate opportunities to improve research velocity, rigor, and cross-functional communication.\n\n60 Days: Establish Direction and Build Momentum\n\n - Deliver a clear research roadmap aligned to company priorities and platform differentiation.\n\n - Launch initial experiments focused on data quality, evaluation systems, or marketplace optimization.\n\n - Introduce standardized processes for experiment tracking, documentation, and reproducibility.\n\n - Develop hiring plans and organizational structure for scaling the Data Lab function.\n\n90 Days: Drive Measurable Impact\n\n - Deliver research insights that directly influence product roadmap decisions or customer outcomes.\n\n - Demonstrate measurable improvements in experimentation speed, evaluation quality, or data performance metrics.\n\n - Establish Protege's Data Lab as a trusted strategic partner across Engineering, Product, and GTM.\n\n - Recruit, onboard, and effectively lead key technical talent to support long-term research initiatives and company growth.\n\nWhat we're looking for\n\nYou have:\n\n - Led impactful research initiatives in AI, machine learning, data infrastructure, or applied research environments where outcomes influenced product or business strategy.\n\n - Built and managed high-performing research teams that operated with autonomy, technical rigor, and fast execution cycles.\n\n - Experience partnering directly with customers, GTM teams, or external stakeholders in applied technical settings, with the judgment to represent both the research and business value of complex AI/data work clearly and credibly.\n\n - Developed frameworks for evaluating model performance, dataset quality, synthetic data, or large-scale experimentation systems.\n\n - Experience operating in ambiguous, fast-moving environments where priorities evolved quickly and execution mattered.\n\n - Strong ability to communicate complex technical findings to both technical and non-technical audiences.\n\n - Demonstrated ownership of cross-functional initiatives spanning research, engineering, product, and go-to-market teams.\n\n - Track record of translating research into practical systems, tools, or customer-facing impact.\n\n - Experience working with modern AI systems, foundation models, LLM evaluation workflows, or privacy-centric data methodologies.\n\n - High judgment, strong prioritization skills, and comfort making decisions with incomplete information.\n\n - Motivated by building from first principles and solving foundational problems in AI infrastructure.\n\n\n\nProtege's Values\n\nPass the Loved Ones' Test\n\nWe act with integrity and do the right thing - especially when it's hard and no one is watching.\n\nAlways Find a Way\n\nWe are resourceful, resilient builders who solve hard problems and push through obstacles.\n\nGo Fast and Grow Fast\n\nVelocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.\n\nPractice Kindness and Candor\n\nWe communicate directly and respectfully, building trust through honest feedback and genuine care for one another.\n\nDeliver Together\n\nWe win as one team. Collaboration, accountability, and shared ownership drive our success.\n\nOwn the Outcome. Hone the Craft.\n\nWe take pride in our work, sweat the details, and continuously raise the bar for excellence."},{"id":"061846ec-2dea-46dc-acf1-6ce6348203ad","title":"Strategic Account Manager","department":"GTM","team":"GTM","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-07-31T23:41:20.685+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/protege/061846ec-2dea-46dc-acf1-6ce6348203ad","applyUrl":"https://jobs.ashbyhq.com/protege/061846ec-2dea-46dc-acf1-6ce6348203ad/application","descriptionHtml":"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
The Strategic Account Manager owns one of the most consequential commercial relationships at Protege: th Foundation labs and Frontier AI builders — organizations like OpenAI, Meta, Google, Apple, and Anthropic — that are defining what AI becomes.
This is not a conventional sales role. A SAM's job is not to simply to close a series of unrelated deals. A SAM's job is to engineer high-value relationships and drive unimpeachable value, en route to driving significant GMV for Protege. You are the primary commercial owner of a small number of accounts that represent tens of millions of dollars of annual revenue potential — and the relationships that make Protege's broader business possible.
You will work in close partnership with DataLab researchers, Product Success, and Partnerships to translate complex, multi-modal data needs into real solutions — often before our customers fully know what they need. You understand how foundation models are built, what researchers care about, and how to show up as a trusted partner rather than a vendor. You think in multi-year relationship arcs, not quarterly close dates.
What You'll Do
• Own a portfolio of 2–4 foundation lab or frontier AI accounts end-to-end — from relationship development and deal structuring through contracting, delivery handoff, and expansion.
• Map the full account landscape: identify key researchers, data science leads, procurement stakeholders, and executive sponsors. Understand who influences decisions and who makes them.
• Lead business-level discovery across departments and functions to identify projects and opportunities for Protege to broaden and deepen our penetration of each account
• Coordinate the teams who interact technically with our customer research teams -You’ll work closely with our Solutions and DataLab teams to do so
• Build and maintain a living account plan for each strategic account, including deal chronology, relationship health, 12-month GMV potential, open opportunities, and known risks.
• Orchestrate internal resources — DataLab, Solutions, Partnerships, Legal, Customer Success Manger (CSM) — to deliver on commitments and protect relationship equity. You are the single point of commercial accountability.
• Drive multi-year, multi-modal deal strategy: structure agreements that deepen account relationships over time rather than optimizing for individual transaction size.
• Surface patterns across your accounts that inform Protege's data supply strategy, product roadmap, and go-to-market — you are on the frontier of what the world's best AI labs need next.
• Maintain rigorous deal hygiene: accurate forecasting, clean Deal Desk submissions, documented handoffs to CSM and Product Success at close.
• Represent Protege at field events, research dinners, and conferences where foundation lab relationships are built and deepened.
What Success Looks Like
30 Days — Learn the accounts. Earn the right to lead them.
• Complete deep account briefings on each assigned account: deal history, active relationships, open opportunities, delivery status, and known risks.
• Shadow existing deal conversations, Deal Desk sessions, and DataLab research calls to understand how Protege's internal machine works.
• Establish direct relationships with your primary points of contact at each account — researchers, data leads, and commercial stakeholders.
• Identify the single highest-priority open opportunity in each account and develop a clear point of view on what it will take to close it.
60 Days — Lead the commercial motion. Deepen the relationships.
• Own all commercial conversations in your accounts, with DataLab and Product Success running alongside you — not in front of you.
• Have a credible 90-day pipeline view for each account: committed deals, active opportunities, and what is needed to progress each.
• Complete account plans for each strategic account in the standard format, reviewed with Don and the exec team.
• Identify at least one expansion opportunity per account that did not exist before your arrival — a new data type, a new team, a new use case.
90 Days — Drive GMV. Build the multi-year relationship arc.
• Close or advance at least one material deal in each account. Material means it moves the quarterly number and deepens the relationship.
• Deliver a 90-day account retro for each strategic account: what we learned, what the relationship looks like now versus on day one, what the 12-month opportunity is, and what we need internally to capture it.
• Have a clear point of view on the path to multi-year agreements in at least one account — what it would take, what the unlock is, and when.
• Be the person DataLab researchers want to bring into a room and the person customers ask for by name.
What You Bring
We focus on what you have accomplished, not how long you were in a particular role.
• Proven track record managing and growing large, complex enterprise accounts — preferably with foundation labs, hyperscalers, or frontier AI organizations. You have closed multi-million dollar deals and know what it takes to sustain them.
• Technical fluency sufficient to earn the trust of AI researchers and data scientists. You do not need to be an ML engineer, but you need to understand how models are trained, why data quality and provenance matter, and what de-identification means in practice.
• Demonstrated ability to build relationships at multiple levels of a single organization simultaneously — from working-level researchers to VP and executive sponsors — and to advance deals through complex, multi-stakeholder procurement processes.
• Strong deal architecture skills: you know how to structure agreements that create long-term value, not just close quarters. Experience with multi-year licensing, data access frameworks, or platform agreements is a genuine plus.
• Operational discipline: you run clean pipeline, forecast accurately, and hand off to delivery teams in ways that set them up to succeed rather than scramble.
• High emotional intelligence and judgment in relationship-sensitive situations. Foundation lab accounts require a long game — you know when to push and when to listen, and you never sacrifice trust for a transaction.
• Comfort with ambiguity and fast-moving deal environments. Scope changes, new requirements, and compressed timelines are the norm. You stay organized and calm when others don't.
Protege Values
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
","descriptionPlain":"Company Overview:\n\nWe 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.\n\nSolving 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.\n\nWe’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.\n\n\n\nAbout the Role\n\nThe Strategic Account Manager owns one of the most consequential commercial relationships at Protege: th Foundation labs and Frontier AI builders — organizations like OpenAI, Meta, Google, Apple, and Anthropic — that are defining what AI becomes.\n\nThis is not a conventional sales role. A SAM's job is not to simply to close a series of unrelated deals. A SAM's job is to engineer high-value relationships and drive unimpeachable value, en route to driving significant GMV for Protege. You are the primary commercial owner of a small number of accounts that represent tens of millions of dollars of annual revenue potential — and the relationships that make Protege's broader business possible.\n\nYou will work in close partnership with DataLab researchers, Product Success, and Partnerships to translate complex, multi-modal data needs into real solutions — often before our customers fully know what they need. You understand how foundation models are built, what researchers care about, and how to show up as a trusted partner rather than a vendor. You think in multi-year relationship arcs, not quarterly close dates.\n\nWhat You'll Do\n\n• Own a portfolio of 2–4 foundation lab or frontier AI accounts end-to-end — from relationship development and deal structuring through contracting, delivery handoff, and expansion.\n\n• Map the full account landscape: identify key researchers, data science leads, procurement stakeholders, and executive sponsors. Understand who influences decisions and who makes them.\n\n• Lead business-level discovery across departments and functions to identify projects and opportunities for Protege to broaden and deepen our penetration of each account\n\n• Coordinate the teams who interact technically with our customer research teams -You’ll work closely with our Solutions and DataLab teams to do so\n\n• Build and maintain a living account plan for each strategic account, including deal chronology, relationship health, 12-month GMV potential, open opportunities, and known risks.\n\n• Orchestrate internal resources — DataLab, Solutions, Partnerships, Legal, Customer Success Manger (CSM) — to deliver on commitments and protect relationship equity. You are the single point of commercial accountability.\n\n• Drive multi-year, multi-modal deal strategy: structure agreements that deepen account relationships over time rather than optimizing for individual transaction size.\n\n• Surface patterns across your accounts that inform Protege's data supply strategy, product roadmap, and go-to-market — you are on the frontier of what the world's best AI labs need next.\n\n• Maintain rigorous deal hygiene: accurate forecasting, clean Deal Desk submissions, documented handoffs to CSM and Product Success at close.\n\n• Represent Protege at field events, research dinners, and conferences where foundation lab relationships are built and deepened.\n\nWhat Success Looks Like\n\n30 Days — Learn the accounts. Earn the right to lead them.\n\n• Complete deep account briefings on each assigned account: deal history, active relationships, open opportunities, delivery status, and known risks.\n\n• Shadow existing deal conversations, Deal Desk sessions, and DataLab research calls to understand how Protege's internal machine works.\n\n• Establish direct relationships with your primary points of contact at each account — researchers, data leads, and commercial stakeholders.\n\n• Identify the single highest-priority open opportunity in each account and develop a clear point of view on what it will take to close it.\n\n60 Days — Lead the commercial motion. Deepen the relationships.\n\n• Own all commercial conversations in your accounts, with DataLab and Product Success running alongside you — not in front of you.\n\n• Have a credible 90-day pipeline view for each account: committed deals, active opportunities, and what is needed to progress each.\n\n• Complete account plans for each strategic account in the standard format, reviewed with Don and the exec team.\n\n• Identify at least one expansion opportunity per account that did not exist before your arrival — a new data type, a new team, a new use case.\n\n90 Days — Drive GMV. Build the multi-year relationship arc.\n\n• Close or advance at least one material deal in each account. Material means it moves the quarterly number and deepens the relationship.\n\n• Deliver a 90-day account retro for each strategic account: what we learned, what the relationship looks like now versus on day one, what the 12-month opportunity is, and what we need internally to capture it.\n\n• Have a clear point of view on the path to multi-year agreements in at least one account — what it would take, what the unlock is, and when.\n\n• Be the person DataLab researchers want to bring into a room and the person customers ask for by name.\n\nWhat You Bring\n\nWe focus on what you have accomplished, not how long you were in a particular role.\n\n• Proven track record managing and growing large, complex enterprise accounts — preferably with foundation labs, hyperscalers, or frontier AI organizations. You have closed multi-million dollar deals and know what it takes to sustain them.\n\n• Technical fluency sufficient to earn the trust of AI researchers and data scientists. You do not need to be an ML engineer, but you need to understand how models are trained, why data quality and provenance matter, and what de-identification means in practice.\n\n• Demonstrated ability to build relationships at multiple levels of a single organization simultaneously — from working-level researchers to VP and executive sponsors — and to advance deals through complex, multi-stakeholder procurement processes.\n\n• Strong deal architecture skills: you know how to structure agreements that create long-term value, not just close quarters. Experience with multi-year licensing, data access frameworks, or platform agreements is a genuine plus.\n\n• Operational discipline: you run clean pipeline, forecast accurately, and hand off to delivery teams in ways that set them up to succeed rather than scramble.\n\n• High emotional intelligence and judgment in relationship-sensitive situations. Foundation lab accounts require a long game — you know when to push and when to listen, and you never sacrifice trust for a transaction.\n\n• Comfort with ambiguity and fast-moving deal environments. Scope changes, new requirements, and compressed timelines are the norm. You stay organized and calm when others don't.\n\nProtege Values\n\nPass the Loved Ones’ Test\n\nWe act with integrity and do the right thing — especially when it’s hard and no one is watching.\n\nAlways Find a Way\n\nWe are resourceful, resilient builders who solve hard problems and push through obstacles.\n\nGo Fast and Grow Fast\n\nVelocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.\n\nPractice Kindness and Candor\n\nWe communicate directly and respectfully, building trust through honest feedback and genuine care for one another.\n\nDeliver Together\n\nWe win as one team. Collaboration, accountability, and shared ownership drive our success.\n\nOwn the Outcome. Hone the Craft.\n\nWe take pride in our work, sweat the details, and continuously raise the bar for excellence."},{"id":"563860f9-285c-4262-a9a3-b2d95538695e","title":"Applied Healthcare Researcher","department":"DataLab","team":"DataLab","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-08-06T14:55:39.792+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/protege/563860f9-285c-4262-a9a3-b2d95538695e","applyUrl":"https://jobs.ashbyhq.com/protege/563860f9-285c-4262-a9a3-b2d95538695e/application","descriptionHtml":"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 Applied Healthcare Researchers to join a team within DataLab focused entirely on healthcare training data.
Our customers are researchers at the frontier labs and AI startups building specialized healthcare models. They come to us with model-development problems, not dataset specifications. Figuring out which healthcare data actually solves their problem, and proving that it does, is the research question we answer in DataLab.
In this role you will work directly with researchers at those labs to understand what they're trying to train or evaluate, determine what healthcare data can support it, and do the research needed to demonstrate that it will. This is fast-iterating, customer-facing research on a customer's timeline. You will be the primary technical and research link to the customer — not a technical resource brought in for credibility, but the person driving the conversation and pulling in the solutions, engineering, and data partnerships teams as needed.
Core Responsibilities
Customer Research Partnership
You will be the research partner to AI researchers at frontier labs and startups who are working on healthcare problems.
• Serve as the primary technical and research point of contact for healthcare customer conversations.
• Translate a lab's model-development goals into concrete, feasible data strategies.
• Help customers scope opportunities and identify the highest-value data available to them.
• Explain data limitations, tradeoffs, and potential biases to technically sophisticated stakeholders while grounding conversations in what real-world data actually looks like.
• After delivery, answer the research questions customers raise about the data we provided. Delivery is not the end of the relationship.
Applied Research & Method Development
Curating the right data product is a research problem, and you'll own solving it.
• Develop and evaluate methods — fine-tuning, LLM-based extraction, classification, rules-based approaches, or whatever the problem calls for — to demonstrate that a dataset can support a customer's training or evaluation objective.
• Design and run feasibility research pre-contract: can this data support this model objective, at what quality, with what caveats.
• Build the evidence base that makes a data strategy credible — benchmarks, validation analyses, error characterization, and honest assessments of where the data falls short.
• Partner with the Assessments team on healthcare benchmarks across modalities.
Data Feasibility & Dataset Strategy
• Evaluate whether requested variables, labels, or cohort definitions are achievable with available healthcare data.
• Identify proxy variables or alternative dataset structures when the ideal variable doesn't exist.
• Analyze partner and source datasets — schema, field availability, quality, completeness, and required transformations.
• Contribute to our point of view on which healthcare data matters most for which modality and which stage of model development.
• Help evaluate new data partners and identify datasets worth acquiring before a customer asks for them.
Reusable Research & Scaling
• Produce reusable research, evidence, and technical collateral rather than starting from scratch for each opportunity.
• Identify where a successful one-off approach should become a repeatable workflow, and work with Product and Engineering to operationalize it.
• Help expand proven healthcare datasets across multiple customers instead of selling them once.
Cross-Functional Collaboration
• Work with Solutions and FDEs from the beginning of an opportunity.
• Coordinate with Healthcare Data Partnerships on sourcing and with Product and Engineering on tooling.
Required Experience & Skills
• Advanced degree (PhD or Master's plus 2+ years industry experience) in machine learning, computer science, biomedical informatics, epidemiology, statistics, or a related quantitative field — or equivalent applied experience.
• Hands-on experience building and evaluating ML or LLM-based systems for extraction, classification, or prediction on real-world data.
• Experience working with healthcare data: claims, EMR/EHR, clinical notes, imaging, registries, or similar. You understand why real-world clinical data is messy and what that means for model training.
• Strong Python and SQL, with the ability to work independently against large datasets.
• Experience designing evaluations — measuring data quality and dataset representativeness.
• Demonstrated ability to work directly with technical stakeholders and translate ambiguous goals into concrete, defensible research plans.
• Comfort operating on a customer's timeline without lowering the standard of the research.
Ideal Profile
The ideal candidate:
• Is energized by working directly with customers, and specifically by working with other researchers as peers.
• Moves fast on messy, real-world problems and knows which corners can and cannot be cut.
• Is rigorous about what the data can and cannot support, and willing to tell a customer when the answer is no.
• Enjoys the full arc — scoping a vague problem, doing the research, and showing the result to the person who asked for it.
• Thinks about leverage: builds the reusable version rather than the one-off when it's worth doing.
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. Our research spans data quality, evaluation design, privacy-preserving transformation, and task-grounded AI training data.
Protege Values
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
","descriptionPlain":"Company Overview:\n\nWe 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.\n\nSolving 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.\n\nWe’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.\n\n\n\nRole Overview\n\nWe are hiring Applied Healthcare Researchers to join a team within DataLab focused entirely on healthcare training data.\n\nOur customers are researchers at the frontier labs and AI startups building specialized healthcare models. They come to us with model-development problems, not dataset specifications. Figuring out which healthcare data actually solves their problem, and proving that it does, is the research question we answer in DataLab.\n\nIn this role you will work directly with researchers at those labs to understand what they're trying to train or evaluate, determine what healthcare data can support it, and do the research needed to demonstrate that it will. This is fast-iterating, customer-facing research on a customer's timeline. You will be the primary technical and research link to the customer — not a technical resource brought in for credibility, but the person driving the conversation and pulling in the solutions, engineering, and data partnerships teams as needed.\n\n\n\nCore Responsibilities\n\n\n\nCustomer Research Partnership\n\nYou will be the research partner to AI researchers at frontier labs and startups who are working on healthcare problems.\n\n• Serve as the primary technical and research point of contact for healthcare customer conversations.\n\n• Translate a lab's model-development goals into concrete, feasible data strategies.\n\n• Help customers scope opportunities and identify the highest-value data available to them.\n\n• Explain data limitations, tradeoffs, and potential biases to technically sophisticated stakeholders while grounding conversations in what real-world data actually looks like.\n\n• After delivery, answer the research questions customers raise about the data we provided. Delivery is not the end of the relationship.\n\n\n\nApplied Research & Method Development\n\nCurating the right data product is a research problem, and you'll own solving it.\n\n• Develop and evaluate methods — fine-tuning, LLM-based extraction, classification, rules-based approaches, or whatever the problem calls for — to demonstrate that a dataset can support a customer's training or evaluation objective.\n\n• Design and run feasibility research pre-contract: can this data support this model objective, at what quality, with what caveats.\n\n• Build the evidence base that makes a data strategy credible — benchmarks, validation analyses, error characterization, and honest assessments of where the data falls short.\n\n• Partner with the Assessments team on healthcare benchmarks across modalities.\n\n\n\nData Feasibility & Dataset Strategy\n\n• Evaluate whether requested variables, labels, or cohort definitions are achievable with available healthcare data.\n\n• Identify proxy variables or alternative dataset structures when the ideal variable doesn't exist.\n\n• Analyze partner and source datasets — schema, field availability, quality, completeness, and required transformations.\n\n• Contribute to our point of view on which healthcare data matters most for which modality and which stage of model development.\n\n• Help evaluate new data partners and identify datasets worth acquiring before a customer asks for them.\n\n\n\nReusable Research & Scaling\n\n• Produce reusable research, evidence, and technical collateral rather than starting from scratch for each opportunity.\n\n• Identify where a successful one-off approach should become a repeatable workflow, and work with Product and Engineering to operationalize it.\n\n• Help expand proven healthcare datasets across multiple customers instead of selling them once.\n\n\n\nCross-Functional Collaboration\n\n• Work with Solutions and FDEs from the beginning of an opportunity.\n\n• Coordinate with Healthcare Data Partnerships on sourcing and with Product and Engineering on tooling.\n\n\n\nRequired Experience & Skills\n\n• Advanced degree (PhD or Master's plus 2+ years industry experience) in machine learning, computer science, biomedical informatics, epidemiology, statistics, or a related quantitative field — or equivalent applied experience.\n\n• Hands-on experience building and evaluating ML or LLM-based systems for extraction, classification, or prediction on real-world data.\n\n• Experience working with healthcare data: claims, EMR/EHR, clinical notes, imaging, registries, or similar. You understand why real-world clinical data is messy and what that means for model training.\n\n• Strong Python and SQL, with the ability to work independently against large datasets.\n\n• Experience designing evaluations — measuring data quality and dataset representativeness.\n\n• Demonstrated ability to work directly with technical stakeholders and translate ambiguous goals into concrete, defensible research plans.\n\n• Comfort operating on a customer's timeline without lowering the standard of the research.\n\n\n\nIdeal Profile\n\nThe ideal candidate:\n\n• Is energized by working directly with customers, and specifically by working with other researchers as peers.\n\n• Moves fast on messy, real-world problems and knows which corners can and cannot be cut.\n\n• Is rigorous about what the data can and cannot support, and willing to tell a customer when the answer is no.\n\n• Enjoys the full arc — scoping a vague problem, doing the research, and showing the result to the person who asked for it.\n\n• Thinks about leverage: builds the reusable version rather than the one-off when it's worth doing.\n\n\n\nAbout DataLab\n\nDataLab exists because truly useful data is rare — and the frontier of AI development only moves forward when high-quality data makes it possible.\n\nWe 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. Our research spans data quality, evaluation design, privacy-preserving transformation, and task-grounded AI training data.\n\n\n\nProtege Values\n\nPass the Loved Ones’ Test\n\nWe act with integrity and do the right thing — especially when it’s hard and no one is watching.\n\nAlways Find a Way\n\nWe are resourceful, resilient builders who solve hard problems and push through obstacles.\n\nGo Fast and Grow Fast\n\nVelocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.\n\nPractice Kindness and Candor\n\nWe communicate directly and respectfully, building trust through honest feedback and genuine care for one another.\n\nDeliver Together\n\nWe win as one team. Collaboration, accountability, and shared ownership drive our success.\n\nOwn the Outcome. Hone the Craft.\n\nWe take pride in our work, sweat the details, and continuously raise the bar for excellence.\n\n"},{"id":"f9e3d50b-bf15-492c-8feb-cd1870423e7f","title":"Technical Product & Content Marketing Lead","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-08-27T14:06:44.754+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/protege/f9e3d50b-bf15-492c-8feb-cd1870423e7f","applyUrl":"https://jobs.ashbyhq.com/protege/f9e3d50b-bf15-492c-8feb-cd1870423e7f/application","descriptionHtml":"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.
We're looking for an exceptional communicator with strong product instincts who can translate complex ideas into clear, compelling messaging. Rather than a traditional Technical Product & Content Marketing Lead, this role is ideal for someone who excels at crafting narratives that resonate with customers and the market. You'll help define how we communicate our products and value proposition, bringing clarity in a fast-moving environment where the product evolves quickly and the competitive landscape is constantly changing.
• Translate Protege’s Product efforts across verticals into clear public-facing positioning, content, and collateral.
• Turn complex real-world data issues and our DataLab’s technical research into buyer language that explains why messy data becomes usable, discoverable, and high-quality through Protege, and how our focus differs from other data approaches.
• Own end-to-end launch campaigns for new Product, DataLab, and Commercial releases from initial strategy through external execution, with the right narrative, proof points, and field-ready materials.
• Write compelling technical thought leadership content to advance the real-world data narrative for AI development.
• Build product marketing strategy to match our vision as the real-world data platform for AI builders for all stages of the AI model development lifecycle.
• Build the core go-to-market assets that help the commercial team sell with confidence, including decks, webinars, videos, social media content, one-pagers, case studies, talk tracks, landing pages, and launch materials.
• Partner closely with our Head of Community to create assets that anchor and drive community engagement and events.
• Partner closely with Product, DataLab, vertical GMs, and Sales to make sure our market story matches what we deliver to model builders.
• 30 days: Learn Protege’s business model, language, and products. Identify key opportunity gaps.
• Build technical fluency in Protege’s products, commercial solutions, and DataLab research - and how that all fits together into a singular vision.
• Determine gaps in our product narrative and how we can fill them with our messaging, content, and collateral.
• 60 days: Own highest priority product/content workstreams.
• Own multiple end-to-end strategic initiatives, such as a new vertical or product launch, and technical research releases.
• 90 days: Take over all product/content workstreams, form product marketing strategy, & orient all initiatives towards broader company strategy.
• Own all end-to-end strategic initiatives involving product and content releases.
• Create the product marketing vision that completes the loop between Product, Commercial, DataLab, and Delivery while promoting our differentiation in the market.
• Begin to own company-wide positioning and narrative building via thought leadership, owned content, and other channels.
Must-Haves:
• You are first and foremost, a great writer; our belief is that strong writing is a sign of strong thinking.
• You can translate complex technical concepts, including AI data, ML pipelines, model performance, and messy real-world data workflows, into clear positioning and messaging for technical buyers and audiences.
• You have narrative experience in all forms of content campaigns: written, visual media, podcast, IRL experiences, etc.
• You have managed end-to-end product, vertical, or content-led launches with cross-functional teams, from early narrative development through external execution.
• You have partnered closely with sales teams on strategic deals, understood customer needs in depth, and shaped custom narratives that helped move commercial conversations forward.
• You thrive in ambiguous startup environments, ship strong V1s quickly, iterate based on feedback, and build from scratch when the playbook does not yet exist.
• You are hands-on with your work; this includes using the right growth channels to distribute your work, rather than expecting distribution to happen on its own.
• You have created compelling written content for technical or B2B audiences, including launch content, technical explainers, case studies, thought leadership, or similar assets.
• You can balance strategic thinking with tactical execution — thinking big picture while also building the decks, messaging, and case studies that make the strategy real.
Nice-to-haves:
• Experience in AI/ML products and data platforms
• Understanding of foundation models, AI training, or ML workflows
• Former technical background (engineer, solutions engineer, data scientist)
• Experience managing multiple verticals/product lines simultaneously
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
","descriptionPlain":"Company Overview:\n\nWe 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.\n\nSolving 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.\n\nWe’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.\n\n\n\n\nWHAT YOU’LL DO\n\nWe're looking for an exceptional communicator with strong product instincts who can translate complex ideas into clear, compelling messaging. Rather than a traditional Technical Product & Content Marketing Lead, this role is ideal for someone who excels at crafting narratives that resonate with customers and the market. You'll help define how we communicate our products and value proposition, bringing clarity in a fast-moving environment where the product evolves quickly and the competitive landscape is constantly changing.\n\n• Translate Protege’s Product efforts across verticals into clear public-facing positioning, content, and collateral.\n\n• Turn complex real-world data issues and our DataLab’s technical research into buyer language that explains why messy data becomes usable, discoverable, and high-quality through Protege, and how our focus differs from other data approaches.\n\n• Own end-to-end launch campaigns for new Product, DataLab, and Commercial releases from initial strategy through external execution, with the right narrative, proof points, and field-ready materials.\n\n• Write compelling technical thought leadership content to advance the real-world data narrative for AI development.\n\n• Build product marketing strategy to match our vision as the real-world data platform for AI builders for all stages of the AI model development lifecycle.\n\n• Build the core go-to-market assets that help the commercial team sell with confidence, including decks, webinars, videos, social media content, one-pagers, case studies, talk tracks, landing pages, and launch materials.\n\n• Partner closely with our Head of Community to create assets that anchor and drive community engagement and events.\n\n• Partner closely with Product, DataLab, vertical GMs, and Sales to make sure our market story matches what we deliver to model builders.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\n• 30 days: Learn Protege’s business model, language, and products. Identify key opportunity gaps.\n\n• Build technical fluency in Protege’s products, commercial solutions, and DataLab research - and how that all fits together into a singular vision.\n\n• Determine gaps in our product narrative and how we can fill them with our messaging, content, and collateral.\n\n• 60 days: Own highest priority product/content workstreams.\n\n• Own multiple end-to-end strategic initiatives, such as a new vertical or product launch, and technical research releases.\n\n• 90 days: Take over all product/content workstreams, form product marketing strategy, & orient all initiatives towards broader company strategy.\n\n• Own all end-to-end strategic initiatives involving product and content releases.\n\n• Create the product marketing vision that completes the loop between Product, Commercial, DataLab, and Delivery while promoting our differentiation in the market.\n\n• Begin to own company-wide positioning and narrative building via thought leadership, owned content, and other channels.\n\n\n\n\nWHAT YOU BRING\n\nMust-Haves:\n\n• You are first and foremost, a great writer; our belief is that strong writing is a sign of strong thinking.\n\n• You can translate complex technical concepts, including AI data, ML pipelines, model performance, and messy real-world data workflows, into clear positioning and messaging for technical buyers and audiences.\n\n• You have narrative experience in all forms of content campaigns: written, visual media, podcast, IRL experiences, etc.\n\n• You have managed end-to-end product, vertical, or content-led launches with cross-functional teams, from early narrative development through external execution.\n\n• You have partnered closely with sales teams on strategic deals, understood customer needs in depth, and shaped custom narratives that helped move commercial conversations forward.\n\n• You thrive in ambiguous startup environments, ship strong V1s quickly, iterate based on feedback, and build from scratch when the playbook does not yet exist.\n\n• You are hands-on with your work; this includes using the right growth channels to distribute your work, rather than expecting distribution to happen on its own.\n\n• You have created compelling written content for technical or B2B audiences, including launch content, technical explainers, case studies, thought leadership, or similar assets.\n\n• You can balance strategic thinking with tactical execution — thinking big picture while also building the decks, messaging, and case studies that make the strategy real.\n\nNice-to-haves:\n\n• Experience in AI/ML products and data platforms\n\n• Understanding of foundation models, AI training, or ML workflows\n\n• Former technical background (engineer, solutions engineer, data scientist)\n\n• Experience managing multiple verticals/product lines simultaneously\n\n\n\n\nPROTEGE VALUES\n\nPass the Loved Ones’ Test\n\nWe act with integrity and do the right thing — especially when it’s hard and no one is watching.\n\nAlways Find a Way\n\nWe are resourceful, resilient builders who solve hard problems and push through obstacles.\n\nGo Fast and Grow Fast\n\nVelocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.\n\nPractice Kindness and Candor\n\nWe communicate directly and respectfully, building trust through honest feedback and genuine care for one another.\n\nDeliver Together\n\nWe win as one team. Collaboration, accountability, and shared ownership drive our success.\n\nOwn the Outcome. Hone the Craft.\n\nWe take pride in our work, sweat the details, and continuously raise the bar for excellence."},{"id":"55776500-052f-4ee1-8ab0-7de159f0b315","title":"GTM Commercial Lead, Assessments","department":"GTM","team":"GTM","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-09-12T22:45:31.530+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/protege/55776500-052f-4ee1-8ab0-7de159f0b315","applyUrl":"https://jobs.ashbyhq.com/protege/55776500-052f-4ee1-8ab0-7de159f0b315/application","descriptionHtml":"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.
Summary:
The GTM Commercial Lead, Assessments will own the commercial strategy and execution for our benchmarking and assessments business, reporting to the head of GTM Partnerships. You will be responsible for our existing assessments pipeline while building a target account map of vertical healthcare AI builders. You will run commercial conversations end-to-end, from first conversation to contract signature.
What You’ll Do:
Build and maintain a target account map of vertical healthcare AI builders prioritizing by fit rather than volume
Own commercial engagements end-to-end, including prospecting, negotiation, legal agreement development and customer management.
Define and propose GTM strategy for the vertical, including pipeline target and prioritized accounts
Qualify and structure deals as they arise
Navigate the internal stakeholders needed to close and keep deals moving without unnecessary friction
Maintain fluency in healthcare AI’s data landscape and constraints so you can speak credibly to both technical and business stakeholders
What Success Looks Like:
30 days: Learn the business and take ownership of the pipeline
Onboard to Protege’s assessments and benchmarking business/ Take over ownership of the existing assessments pipeline and actively take on current relationships. Build a target account map of 15 to 20 vertical healthcare AI builders and begin identifying the path to our first contracts.
60 days: Define strategy and drive active conversations
Run commercial conversations across accounts, driving towards active contracts. Define and propose the go-to-market strategy for the vertical.
Close first tranche of assessments customers
90 days: Execute against strategic plan
Execute against the defined go-to-market strategy, continually sourcing new partnerships while driving forward the ones already in motion.
What You Bring:
Proven ability to run full-cycle commercial deals from first conversation through contracting in a complex business-to-business environment
Track record of building and executing an account strategy from scratch, including targeting, prioritization, and follow-through
Demonstrate skills navigating multi-stakeholder deals, including mapping technical and business buyers
Strong written and verbal communication with the ability to speak credibly to both technical and business stakeholders
Comfort operating with ambiguity and setting your own targets
Operational rigor in pipeline management, including accurate stage hygiene and clear reporting on strategy progress, what is working and what is not
Comfort in negotiating complex legal agreements
Working with Protege:
We move fast — thoughtfully.
Speed matters in what we’re building, but so does intention. We’re biased toward action and always learning.
We’re a lean, high-trust team.
Everyone has real ownership. Clarity and autonomy drive our best work.
We take our work seriously, not ourselves.
We solve hard problems with humility and celebrate wins; big and small.
We’re kind, direct, and inclusive.
We give feedback early and often, with the goal of helping one another grow.
We’re builders at heart.
Every person at Protege is hands-on, resourceful, and focused on creating momentum.
We grow fast — together.
You’ll be surrounded by people who care about impact, who challenge you to think bigger, and who are genuinely excited about what comes next.
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.
We're hiring our second attorney: a hands-on counsel who will work directly with the CLO and own a large share of Protege's day-to-day legal work. This is not a narrow specialist seat. On any given week you'll move between a data licensing agreement with a hospital system, a de-identification question under HIPAA, an NDA for a frontier lab, a vendor BAA, and a cross-border transfer analysis — often several of these in the same day.
The two areas where you'll spend most of your time:
Commercial contracts. Data license agreements, SOWs, NDAs, BAAs, DPAs, and vendor agreements — drafting, redlining, and negotiating with counterparties ranging from health systems and data aggregators to the largest AI builders in the world.
Data & Privacy. HIPAA/CCPA/GDPR and de-identification strategy, business associate posture, privacy policies, cross-border data transfers, and emerging AI regulation. Privacy at Protege isn't a compliance checkbox — it's core to the product on multiple domains.
You'll be the person our business, partnerships, and engineering teams come to first. The legal function here runs through Slack, Notion, and Google Drive, with other AI tooling built into triage and drafting. Requests come in fast, priorities shift, and much of the structure you'll work within is structure you'll help build.
Draft, negotiate, and close commercial agreements across our data supply and demand sides — data licensing, SOWs, NDAs, BAAs, DPAs, and novel arrangements that don't have a template yet.
Counsel teams across the company on data privacy: HIPAA, de-identification, consent, provenance, GDPR/CCPA, and AI-specific regulation as it lands.
Triage and run a high-volume legal queue — dozens of active matters at a time — deciding what needs deep work, what needs a fast answer, and what needs outside counsel.
Work directly with technical teams and technical counterparties, translating between legal risk and how the product actually work–in plain and crisp communication style
Manage and coordinate outside counsel on specialist matters, keeping the work moving, tightly scoped, and the spend sensible.
Build the legal infrastructure as you go: templates, playbooks, intake, and AI-assisted workflows that make the whole function faster.
30 days: Learn and Build Relationships
Meet and partner with the teams who use legal most — partnerships, BD, healthcare, product, and engineering — plus our outside counsel across commercial, privacy, and corporate, to understand intake, escalation paths, where the volume comes from, and where the bottlenecks are.
Get fluent in how we run: Slack-based intake, the Notion legal tracker, our template library, and the AI tooling we use for triage and drafting.
Take your first sets of NDAs, SOW redlines, and privacy questions end-to-end with CLO review.
60 days: Develop and Cultivate
Co-own the day-to-day commercial queue — NDAs, SOWs, DPAs, and BAAs move through you without hand-holding, at turnaround times the business can plan around. We optimize for speed and clarity.
Run your first data license negotiations end-to-end, from intake through signature.
Take ownership of at least one standing privacy workstream (e.g., de-identification posture, cross-border transfers, or privacy policy maintenance).
90 days: Make an Impact
Co-own the commercial and privacy queue, with the CLO engaged on strategy and novel structures.
Ship at least three improvements to our legal infrastructure — a template, playbook, or AI-assisted workflow — that measurably speeds up how legal work gets done here.
Be the trusted first call for the business: colleagues come to you directly, and get practical answers fast.
We care about what you've accomplished, not how many years you spent in a particular seat:
You've negotiated and closed complex technology or data transactions end-to-end — ideally including data licensing, and ideally opposite technical counterparties.
You've owned real pieces of a privacy program but see the whole picture and how it all hangs together: HIPAA and de-identification decisions, GDPR/CCPA compliance, DPAs and BAAs — not just reviewed someone else's work. And you keep up to date on emerging regulations and have a sense of not only where the puck is but where it’s going. Plus, you understand not just the what but the why behind key statutes.
You've run a high-volume legal queue where you were personally accountable for turnaround — you know how to triage, when 80% today beats 100% next week, and when to slow down because it matters.
You thrive in ambiguity and are proactive in finding the information you need to make informed decisions and guide the business forward.
You've operated in a fast-moving, scrappy, high-growth environment where priorities changed weekly and structure didn't exist until you built it — templates, playbooks, intake, or workflows that outlasted you. Extreme ownership is a mentality we embrace.
You work the way we work: Slack, Notion, Google Drive, and AI systems in daily use. Someone who works exclusively in Word attachments and email chains will struggle here; someone tech-native will thrive.
You bring high EQ to hard conversations — counseling colleagues under deadline pressure and negotiating across cultures and company sizes with practical, calm, solution-focused advice. You communicate in bullet points rather than paragraphs.
JD and active bar membership in at least one U.S. jurisdiction.
Minimum qualifications:
6+ years of relevant legal experience with significant depth in technology transactions and privacy (healthcare/HIPAA/GDPR/CCPA experience strongly preferred).
Speed and throughput. You turn documents fast, juggle many matters simultaneously, and know when 80% today beats 100% next week.
Genuine comfort with ambiguity. You're self-directed, you make judgment calls with incomplete information, and you don't wait to be handed a process — you build one.
Fluency with modern tools. Our legal work lives in Slack, Notion, and Google Drive, and we use AI systems daily for triage and drafting. Someone who works exclusively in Word attachments and email chains will struggle here; someone who's tech-native will thrive.
High EQ. You'll counsel colleagues under deadline pressure and negotiate with counterparties across cultures and company sizes. Practical, calm, solution-focused advice is the job. No jargon.
JD and active bar membership in at least one U.S. jurisdiction.
Preferred qualifications — we encourage you to apply if you meet some but not all of these:
In-house experience at a technology company shipping products with novel legal risk, ideally involving AI, training data, or health data.
Experience negotiating data licensing agreements or other data-centric commercial deals.
Familiarity with de-identification standards (Expert Determination, Safe Harbor) and the healthcare data ecosystem.
Experience being an early or solo in-house lawyer — building intake, templates, and outside counsel relationships from scratch.
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
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 hiring an Executive Assistant to serve as the primary partner to our Chief Scientific Officer, while providing additional support to two other executives as business needs evolve.
This role goes beyond calendar and travel management. The right person stays close enough to the work to understand priorities, retain context, read between the lines, and distinguish a true escalation from noise—anticipating what needs attention and taking action that protects executive focus while keeping the business moving.
We are specifically looking for someone who has operated in an early-stage, hypergrowth, or similarly high-intensity environment. We strongly prefer candidates who have worked at an AI, data, or tech company and supported scientific, research, data, or product leaders. They learn quickly, follow complex discussions, and use that context to make informed decisions. They are also AI-native in how they work, using AI to synthesize information, improve workflows, and create meaningful leverage.
What You’ll Do
Serve as the primary Executive Assistant to the Chief Scientific Officer and provide additional support to two other executives as business needs evolve.
Develop a strong understanding of executive priorities and ongoing work so you can connect context across meetings, Slack, email, and cross-functional discussions.
Own complex, frequently changing calendars across multiple time zones, balancing business priorities, executive preferences, and competing demands.
Triage inbound requests, distinguish true urgency from noise, and determine what should be scheduled, redirected, delegated, or escalated.
Anticipate needs and act proactively—whether that means protecting focus time, involving the right stakeholders, or surfacing an issue before it becomes a blocker.
Coordinate complex domestic and international travel, including flights, accommodations, ground transportation, visas, itineraries, and other travel requirements.
Provide occasional personal-assistant support for the Chief Scientific Officer and Co-Founder with discretion and confidentiality.
Partner closely with the EA & Chief of Staff to the CEO to coordinate leadership schedules, meetings, travel, and shared priorities.
Support cross-functional projects, People initiatives, and company offsites as opportunities arise.
Who You Are
Experienced in High-Growth Environments: You have 5+ years of experience supporting senior leaders in an early-stage, hypergrowth, or similarly fast-moving company. Experience within AI, data, or tech is strongly preferred.
Technically Curious and Context-Driven: You are genuinely interested in how the business works. You learn complex subject matter quickly, retain context, connect information across conversations, and recognize patterns without needing repeated direction.
AI-First: You naturally use AI to synthesize information, prepare executives, automate repetitive work, and improve how you operate. You actively experiment with new tools while understanding when human judgment is essential.
Proactive and Decisive: You take ownership, make thoughtful recommendations, and act without waiting for detailed instructions. You know when to move independently and when something requires executive attention.
Calm Under Pressure: You remain steady when communication is direct, timelines are compressed, and priorities change quickly.
A Trusted Partner and Clear Communicator: You communicate directly and concisely, adapt to different working styles, and are comfortable tactfully redirecting stakeholders and reinforcing commitments.
Organized and Adaptable: You create systems that keep details from falling through the cracks, manage competing priorities, and shift gears quickly as needs change.
Discreet and Principled: You handle sensitive information with integrity and sound judgment. You understand what to escalate, what to resolve independently, and how much context each stakeholder needs.
Protege Values
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
","descriptionPlain":"Company Overview:\n\nWe 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.\n\nSolving 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.\n\nWe’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.\n\n\n\nRole Overview\nProtege is hiring an Executive Assistant to serve as the primary partner to our Chief Scientific Officer, while providing additional support to two other executives as business needs evolve.\n\n\nThis role goes beyond calendar and travel management. The right person stays close enough to the work to understand priorities, retain context, read between the lines, and distinguish a true escalation from noise—anticipating what needs attention and taking action that protects executive focus while keeping the business moving.\n\n\nWe are specifically looking for someone who has operated in an early-stage, hypergrowth, or similarly high-intensity environment. We strongly prefer candidates who have worked at an AI, data, or tech company and supported scientific, research, data, or product leaders. They learn quickly, follow complex discussions, and use that context to make informed decisions. They are also AI-native in how they work, using AI to synthesize information, improve workflows, and create meaningful leverage.\n\nWhat You’ll Do\n\n - Serve as the primary Executive Assistant to the Chief Scientific Officer and provide additional support to two other executives as business needs evolve.\n\n - Develop a strong understanding of executive priorities and ongoing work so you can connect context across meetings, Slack, email, and cross-functional discussions.\n\n - Own complex, frequently changing calendars across multiple time zones, balancing business priorities, executive preferences, and competing demands.\n\n - Triage inbound requests, distinguish true urgency from noise, and determine what should be scheduled, redirected, delegated, or escalated.\n\n - Anticipate needs and act proactively—whether that means protecting focus time, involving the right stakeholders, or surfacing an issue before it becomes a blocker.\n\n - Coordinate complex domestic and international travel, including flights, accommodations, ground transportation, visas, itineraries, and other travel requirements.\n\n - Provide occasional personal-assistant support for the Chief Scientific Officer and Co-Founder with discretion and confidentiality.\n\n - Partner closely with the EA & Chief of Staff to the CEO to coordinate leadership schedules, meetings, travel, and shared priorities.\n\n - Support cross-functional projects, People initiatives, and company offsites as opportunities arise.\n\n\n\nWho You Are\n\n - Experienced in High-Growth Environments: You have 5+ years of experience supporting senior leaders in an early-stage, hypergrowth, or similarly fast-moving company. Experience within AI, data, or tech is strongly preferred.\n\n - Technically Curious and Context-Driven: You are genuinely interested in how the business works. You learn complex subject matter quickly, retain context, connect information across conversations, and recognize patterns without needing repeated direction.\n\n - AI-First: You naturally use AI to synthesize information, prepare executives, automate repetitive work, and improve how you operate. You actively experiment with new tools while understanding when human judgment is essential.\n\n - Proactive and Decisive: You take ownership, make thoughtful recommendations, and act without waiting for detailed instructions. You know when to move independently and when something requires executive attention.\n\n - Calm Under Pressure: You remain steady when communication is direct, timelines are compressed, and priorities change quickly.\n\n - A Trusted Partner and Clear Communicator: You communicate directly and concisely, adapt to different working styles, and are comfortable tactfully redirecting stakeholders and reinforcing commitments.\n\n - Organized and Adaptable: You create systems that keep details from falling through the cracks, manage competing priorities, and shift gears quickly as needs change.\n\n - Discreet and Principled: You handle sensitive information with integrity and sound judgment. You understand what to escalate, what to resolve independently, and how much context each stakeholder needs.\n\nProtege Values\n\nPass the Loved Ones’ Test\n\nWe act with integrity and do the right thing — especially when it’s hard and no one is watching.\n\nAlways Find a Way\n\nWe are resourceful, resilient builders who solve hard problems and push through obstacles.\n\nGo Fast and Grow Fast\n\nVelocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.\n\nPractice Kindness and Candor\n\nWe communicate directly and respectfully, building trust through honest feedback and genuine care for one another.\n\nDeliver Together\n\nWe win as one team. Collaboration, accountability, and shared ownership drive our success.\n\nOwn the Outcome. Hone the Craft.\n\nWe take pride in our work, sweat the details, and continuously raise the bar for excellence."},{"id":"814ecfe3-cd0d-485b-95d2-dd81e548c254","title":"Revenue Operations Lead (GTM Engineer)","department":"GTM","team":"GTM","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-10-27T14:08:02.147+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/protege/814ecfe3-cd0d-485b-95d2-dd81e548c254","applyUrl":"https://jobs.ashbyhq.com/protege/814ecfe3-cd0d-485b-95d2-dd81e548c254/application","descriptionHtml":"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.
Protege has implemented Salesforce as the foundation of a unified revenue system across Marketing, Sales, Partnerships, and Customer Success, and continues to add and phase in new tools and expand that buildout to support the teams as they scale.
We're hiring a Revenue Operations Lead — part revenue operator, part GTM engineer — to own Salesforce architecture, revenue process design, pipeline governance, forecasting infrastructure, performance measurement, attribution, and data integrity across the full funnel, while also building the automation and integrations that connect the GTM stack: Salesforce, marketing automation, the event registration platforms, community platforms, web traffic, outbounding, and sales engagement tooling.
Reporting directly to the Head of GTM Operations, this role is the hands-on execution partner to that function — taking on the day-to-day systems and process work, translating GTM strategy into scalable systems, structured processes, and reliable revenue visibility.
This is a senior individual contributor role, and it's meant to stay hands-on: this person is a builder and a doer first, comfortable being in the weeds of Salesforce configuration and workflow automation, not just directing others to build it. It requires both deep, real Salesforce expertise and fluency with modern GTM tooling — automation platforms, APIs, and AI-enabled tools — since a meaningful part of the role is engineering the connective tissue between systems, not just administering one of them.
Own Salesforce architecture, configuration, and long-term scalability
Lead ongoing phases of Salesforce buildout and manage relationships with implementation and systems partners as new capabilities are added
Establish structured change management and system governance
Evaluate, phase in, and integrate new GTM systems that support revenue operations as the stack grows — including the event/registration platform, the researcher community platform, and sales engagement tooling (Unify)
Build and maintain the automations and integrations that connect systems across the GTM stack, rather than relying on manual handoffs between tools
Use APIs, workflow automation platforms, and light scripting where native, declarative configuration isn't enough
Evaluate and pilot AI-enabled tools that improve GTM efficiency — lead scoring, data enrichment, forecasting support — and bring the ones that work into the core stack
Build durable systems designed to scale, not one-off fixes that create technical debt
Maintain data integrity and enforce required-field discipline
Prevent system sprawl and unnecessary customization as new tools are phased in
Establish documentation standards and clear ownership of system changes
Ensure Salesforce operates as the single system of record
Own the GTM data model, SQL/warehouse or BI layer, metric definitions, cohort analysis, funnel velocity, and executive reporting.
Define and operationalize qualification criteria and opportunity stage definitions
Design lifecycle processes spanning Marketing → Sales → Expansion, including multi-source lead handoff (event, researcher community, BDR, inbound), each with its own defined SLA
Standardize opportunity structure, pricing inputs, and partner attribution tracking
Ensure opportunity records accurately capture key economic inputs to support revenue and margin visibility
Design and maintain forecasting frameworks in partnership with the Head of GTM Operations
Establish and enforce pipeline standards and inspection cadence
Monitor stage progression, conversion rates, deal aging, and close probability integrity
Improve visibility into revenue realization assumptions and deal-level economics during forecasting
Identify structural bottlenecks impacting close rates and forecast reliability
Standardize core revenue KPI definitions across functions
Build and maintain dashboards for funnel conversion, revenue performance, and operational metrics, including pipeline by source (event, community, BDR, digital)
Track leading and lagging indicators to surface performance risks early
Ensure leadership reporting is grounded in system data, not manual workarounds
Own lead routing logic and lifecycle transitions across multiple top-of-funnel sources — event, researcher community, BDR, and inbound — each with its own source-specific qualification criteria rather than one generic rule set
Run event operations end-to-end from a systems and data standpoint: registration/event platform administration, lead capture setup, on-site execution support, and a post-event follow-up SLA into Sales
Own researcher community systems and operations — onboarding flows, engagement tracking, and a defined path from active community member to sales-qualified lead
Administer the marketing automation platform and prospecting/sequencing tools (including Unify), keeping them integrated with the CRM
Own campaign QA and marketing database hygiene
Ensure multi-touch attribution integrity across events, researcher community, and digital — not a single-channel model — and full-funnel reporting accuracy
Build event-sourced pipeline and ROI reporting (cost per event, pipeline per event, win rate) and researcher community engagement and conversion reporting
Monitor marketing-to-sales conversion by source and identify structural bottlenecks
Act as the connective, hands-on presence between Marketing and Sales — the day-to-day execution glue currently provided directly by the Head of GTM Operations, freeing that role up for strategy and cross-functional leadership
Translate strategy from the Head of GTM Operations into working systems and process, and surface what's not working back up
6+ years in Revenue, GTM, Growth, or Sales Operations within a scaling B2B company
Deep, hands-on Salesforce expertise — architecture, configuration, and administration — non-negotiable
Comfortable with the modern GTM tech stack and tools beyond Salesforce: sales & marketing automation platforms, BI tools, analytics, APIs, and AI-enabled tools, and genuinely curious about applying them to GTM problems
A builder's mindset — you'd rather engineer a system that runs itself than manually patch the same problem every week
Execution-first: this is a doer role. You want to be in the weeds building things, not just directing others to
Strong understanding of full-funnel revenue processes and KPI measurement
Structured, data-driven, and confident enforcing operational discipline
You'll help continue to build and govern the operational backbone of a two-sided commercial engine at a pivotal stage of growth — stepping into the hands-on execution work currently done directly by the Head of GTM Operations, freeing that role up for strategy and cross-functional leadership. This role offers meaningful ownership, close partnership with GTM leadership, and the chance to build modern, automated infrastructure from the ground up rather than just administer what already exists.
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
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.
The Human Data team produces the human judgments that make AI training data trustworthy. That includes annotating data, verifying model output, and the human review that makes healthcare data safe to use. We work with an in-house team of annotators and a network of partners ranging from annotation platforms to practicing physicians. Our work feeds the research teams building AI evaluations and training environments, and the AI labs that license our data.
You'll own human data projects from start to finish. A project might be 800 scanned medical documents reviewed by five annotators over three weeks, or thousands of physician ratings on model output for a research team. You scope it with the team that needs it, design and test the task, staff it, keep it on schedule and on budget, catch quality problems before they spread, and deliver results the customer can trust. This role is built for someone early in their career who wants to own outcomes quickly, and who is as comfortable in a spreadsheet as in a room with researchers.
Own human data projects end to end: scope them with the requesting team, set timelines and budgets, and deliver on them.
Design tasks and instructions with the requesting team, and pilot them on a small batch before anything scales.
Staff projects across our in-house annotators and partner vendors, and manage those vendor relationships day to day.
Run calibration before production. Every annotator passes a known-answer test before their work counts, and anyone who doesn't gets feedback and a retry.
Track throughput, cost and quality by annotator and vendor, and report progress to leadership every week.
Catch problems early (an annotator drifting, a vendor slipping, an instruction that isn't working) and fix them before they reach the customer.
Handle sensitive data, including protected health information, under strict security procedures.
Travel on short notice when a project needs someone on site.
Make every project easier to run than the last one.
30 days: learn the machine. You've shadowed a live project, taken over its roster and returns intake, and met each of our annotation partners.
60 days: own a project. You've taken one project from scoping to delivery on your own, and every open project is tracked in one place.
90 days: own the portfolio. You're running two to three projects at once, you've scoped a new one directly with a requesting team, and you've delivered our first cost-and-quality comparison across vendors.
Must have
One to three years in consulting, finance, a startup, or another operationally intense environment where you owned complex projects with real stakes. Strong new grads with that kind of experience are welcome.
Strong analytical skills, with instincts for statistics
Comfort and experience with agentic coding/work tools, willingness to learn new ones
Comfort working directly with demanding stakeholders, including researchers and outside partners.
The judgment to notice when something is off and the instinct to raise it early rather than guess.
Clear, fast written communication.
Authorization to work in the U.S. as a W2 employee (required for access to protected health information).
Nice to have
Experience running data annotation, labeling or AI training data projects
Healthcare, clinical research or HIPAA-regulated work
Experience managing contractors, vendors or freelancers
Python or SQL
Pass the Loved Ones' Test. We act with integrity and do the right thing — especially when it's hard and no one is watching.
Always Find a Way. We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast. Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor. We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together. We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft. We take pride in our work, sweat the details, and continuously raise the bar for excellence.
How this role lives the values: the loved ones' test is literal here, since this person handles patients' health information every day, and the whole job is owning the outcome.
","descriptionPlain":"Company Overview:\n\nWe 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.\n\nSolving 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.\n\nWe’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.\n\n\n\n\nABOUT THE TEAM\n\nThe Human Data team produces the human judgments that make AI training data trustworthy. That includes annotating data, verifying model output, and the human review that makes healthcare data safe to use. We work with an in-house team of annotators and a network of partners ranging from annotation platforms to practicing physicians. Our work feeds the research teams building AI evaluations and training environments, and the AI labs that license our data.\n\n\n\n\nABOUT THE ROLE\n\nYou'll own human data projects from start to finish. A project might be 800 scanned medical documents reviewed by five annotators over three weeks, or thousands of physician ratings on model output for a research team. You scope it with the team that needs it, design and test the task, staff it, keep it on schedule and on budget, catch quality problems before they spread, and deliver results the customer can trust. This role is built for someone early in their career who wants to own outcomes quickly, and who is as comfortable in a spreadsheet as in a room with researchers.\n\n\nWHAT YOU'LL DO\n\n - Own human data projects end to end: scope them with the requesting team, set timelines and budgets, and deliver on them.\n\n - Design tasks and instructions with the requesting team, and pilot them on a small batch before anything scales.\n\n - Staff projects across our in-house annotators and partner vendors, and manage those vendor relationships day to day.\n\n - Run calibration before production. Every annotator passes a known-answer test before their work counts, and anyone who doesn't gets feedback and a retry.\n\n - Track throughput, cost and quality by annotator and vendor, and report progress to leadership every week.\n\n - Catch problems early (an annotator drifting, a vendor slipping, an instruction that isn't working) and fix them before they reach the customer.\n\n - Handle sensitive data, including protected health information, under strict security procedures.\n\n - Travel on short notice when a project needs someone on site.\n\n - Make every project easier to run than the last one.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - 30 days: learn the machine. You've shadowed a live project, taken over its roster and returns intake, and met each of our annotation partners.\n\n - 60 days: own a project. You've taken one project from scoping to delivery on your own, and every open project is tracked in one place.\n\n - 90 days: own the portfolio. You're running two to three projects at once, you've scoped a new one directly with a requesting team, and you've delivered our first cost-and-quality comparison across vendors.\n\n\nWHAT YOU BRING\n\nMust have\n\n - One to three years in consulting, finance, a startup, or another operationally intense environment where you owned complex projects with real stakes. Strong new grads with that kind of experience are welcome.\n\n - Strong analytical skills, with instincts for statistics\n\n - Comfort and experience with agentic coding/work tools, willingness to learn new ones\n\n - Comfort working directly with demanding stakeholders, including researchers and outside partners.\n\n - The judgment to notice when something is off and the instinct to raise it early rather than guess.\n\n - Clear, fast written communication.\n\n - Authorization to work in the U.S. as a W2 employee (required for access to protected health information).\n\nNice to have\n\n - Experience running data annotation, labeling or AI training data projects\n\n - Healthcare, clinical research or HIPAA-regulated work\n\n - Experience managing contractors, vendors or freelancers\n\n - Python or SQL\n \n \n\n\nPROTEGE VALUES\n\nPass the Loved Ones' Test. We act with integrity and do the right thing — especially when it's hard and no one is watching.\n\nAlways Find a Way. We are resourceful, resilient builders who solve hard problems and push through obstacles.\n\nGo Fast and Grow Fast. Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.\n\nPractice Kindness and Candor. We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.\n\nDeliver Together. We win as one team. Collaboration, accountability, and shared ownership drive our success.\n\nOwn the Outcome. Hone the Craft. We take pride in our work, sweat the details, and continuously raise the bar for excellence.\n\nHow this role lives the values: the loved ones' test is literal here, since this person handles patients' health information every day, and the whole job is owning the outcome.\n\n"},{"id":"9b2ba3e7-3199-49e7-b222-67fd2983f478","title":"Strategic Partnerships Manager, Healthcare Administrative & Operations Data","department":"Healthcare Partnerships","team":"Healthcare Partnerships","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-10-22T16:47:31.723+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/protege/9b2ba3e7-3199-49e7-b222-67fd2983f478","applyUrl":"https://jobs.ashbyhq.com/protege/9b2ba3e7-3199-49e7-b222-67fd2983f478/application","descriptionHtml":"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.
Protege is hiring a Strategic Partnerships Manager - Healthcare Administrative & Operations Data to help customers and prospects access high-value, rights-protected healthcare data for AI training, post-training, evaluation, and workflow development.
You will sit at the intersection of customers, commercial teams, Data Lab, Solutions, Privacy and Legal, Operations, and healthcare data partners.
Your job will be to turn an unmet healthcare data need into a clear sourcing strategy, identify and qualify the right supply paths, and move the opportunity from first conversation through diligence, contracting, activation, and handoff.
This role is focused on administrative and operational data rather than primarily clinical or diagnostic datasets. Relevant workflows may include:
Eligibility, enrollment, benefits, and member administration
Claims, billing, payment, revenue cycle, and denial management
Prior authorization, utilization management, and referral operations
Scheduling, access, intake, registration, and care coordination
Provider network, credentialing, staffing, and practice operations
Contact center, patient/member communications, and service operations
Pharmacy, lab, imaging, and other healthcare workflow operations
Health plan, employer, third-party administrator, and population-health administration
EHR, practice-management, care-management, and revenue-cycle workflow data
This is a generalist role with two connected motions:
Reactive sourcing: Respond quickly to data requests tied to active customer and prospect opportunities, identifying the closest-aligned healthcare workflow or partner path and driving the work toward a viable commercial outcome.
Proactive sourcing: Build relationships with promising healthcare organizations, technology companies, data aggregators, brokers, and channel partners before a specific deal requires them, using customer demand, market intelligence, and Data Lab priorities to decide where to invest.
You will not be responsible for sourcing everything indiscriminately. You will use judgment to prioritize healthcare data partners that are likely to create customer value, can meet Protege’s quality, privacy, and rights standards, and fit our commercial model.
Translate customer and prospect needs into clear healthcare data sourcing briefs, including workflow, population, modality, data elements, granularity, volume, format, geography, time period, refresh cadence, use case, rights requirements, and success criteria.
Build a working map of healthcare administrative and operations data supply, including health systems, provider groups, payers, TPAs, MSOs, RCM companies, healthcare technology vendors, digital health companies, call centers, laboratories, pharmacies, data aggregators, brokers, and other relevant supply paths.
Source and build trusted relationships with organizations that hold operationally rich healthcare data and can articulate its provenance, permissions, quality, and delivery model.
Run partner discovery and qualification conversations to understand the underlying workflow, how the data is generated, what entities and events it represents, how it is linked, what fields and labels are available, and what transformations have been applied.
Evaluate whether a dataset reflects real operational work rather than only static records, including queues, decisions, handoffs, exceptions, outcomes, timestamps, and longitudinal workflow context where appropriate.
Assess privacy, security, and rights considerations early, including PHI and PII exposure, de-identification methodology, re-identification risk, consent or notice considerations, downstream use restrictions, data-use agreements, business-associate requirements, and any restrictions on AI training or model evaluation.
Prioritize opportunities based on customer demand, strategic value, uniqueness, data quality, representativeness, feasibility, rights posture, delivery readiness, and the likelihood of a sustainable commercial relationship.
Own partner progression from first conversation through NDA, sample intake, privacy and legal diligence, Data Lab evaluation, feedback, deal structuring, contracting, activation, and handoff into the appropriate operating team.
Coordinate closely with Commercial, Data Lab, Solutions, Privacy, Security, Legal, Product, and Operations so that partner opportunities move quickly without creating avoidable delivery, rights, privacy, or pricing risk.
Support customer and prospect deals by finding viable healthcare data paths, setting realistic expectations about coverage and limitations, and keeping internal and external stakeholders aligned on next steps.
Help structure partnerships, including licensing, channel, co-development, exclusivity, data contribution, and other commercial arrangements, using Protege’s standard terms and pricing guardrails wherever possible.
Maintain a clear, current view of partner capabilities, workflow coverage, data elements, active sourcing requests, qualification status, samples, risks, approvals, next steps, and commercial readiness in the systems of record.
Develop repeatable healthcare-specific sourcing workflows, qualification criteria, partner-intake processes, privacy and rights checklists, sample-review standards, and handoff requirements that make the broader partnerships function more scalable.
Bring market intelligence back to leadership, Data Lab, Product, and Commercial: what healthcare AI customers are asking for, where operational data supply is emerging, how partner economics are changing, and which data gaps are worth solving.
Build trusted relationships with partners and make sure they receive clear communication, thoughtful process, and a credible path to value through Protege.
Build a clear view of Protege’s active customer and prospect requests involving healthcare administrative and operations data.
Learn Protege’s sourcing-to-activation workflow, healthcare data standards, privacy and rights review process, and operating model across GTM Partnerships, Commercial, Data Lab, Solutions, Operations, Privacy, Security, and Legal.
Develop a practical market map of priority healthcare workflow categories, likely data holders, aggregators, brokers, and channel partners.
Create a prioritized view of immediate reactive sourcing needs and proactive healthcare partner categories, with clear owners, qualification questions, and next steps.
Independently run initial partner discovery and qualification conversations with strong notes, sound judgment, and consistent follow-through.
Consistently convert customer and prospect requests into actionable healthcare sourcing plans and qualified partner opportunities.
Move priority partners through data-rights review, privacy diligence, sample coordination, Data Lab feedback, and commercial evaluation with tight cross-functional coordination.
Demonstrate the ability to distinguish between a dataset that merely contains healthcare records and one that captures useful operational context, workflow sequence, or decision-relevant signals.
Support active deals by identifying viable supply paths, surfacing rights, privacy, quality, and delivery risks early, and keeping partner and internal stakeholders aligned.
Document the first version of reusable healthcare data qualification, sample-review, privacy-intake, and handoff workflows.
Establish a reliable operating rhythm for reactive deal support and proactive healthcare partner development.
Build a prioritized partner pipeline that reflects customer demand, strategic workflow gaps, data quality, privacy and rights posture, delivery readiness, and commercial potential.
Progress initial partner opportunities into activation or clearly documented next decisions, including why to advance, pause, or disqualify them.
Deliver a 90-day view of what is working, what is not, where healthcare administrative and operations sourcing is creating the most commercial leverage, and which systems or decisions would help the function scale.
We care more about what you have accomplished and how you operate than about a specific career path or number of years in a role.
Experience in partnerships, business development, strategic sourcing, enterprise sales, marketplace development, procurement, healthcare operations, or a similarly commercial and relationship-oriented function.
A track record of taking ambiguous opportunities from an initial question to a concrete plan, aligned stakeholders, and measurable progress.
Strong commercial judgment: you can distinguish an interesting healthcare data partner from a partner worth investing in, and you are comfortable saying no when the fit is weak.
Experience navigating multi-stakeholder work across external partners and internal teams, including technical, commercial, privacy, legal, security, and operational stakeholders.
The ability to qualify healthcare data opportunities quickly by asking practical questions about the underlying workflow, data generation, quality, provenance, rights, privacy, scale, timeline, economics, and decision-makers.
Enough healthcare fluency to understand how administrative and operational data is created, where it can be incomplete or biased, and how workflow context affects its usefulness.
Strong written and verbal communication. You can explain nuanced healthcare data, AI training, privacy, and commercial considerations clearly to a customer, partner, researcher, operator, executive, or legal stakeholder.
Operational rigor in pipeline and relationship management, including accurate records, clear ownership, crisp next steps, and consistent follow-through.
Comfort working in an environment where the playbook is incomplete and priorities change as new customer demand emerges.
A bias toward action and the persistence to keep complicated work moving without creating unnecessary friction.
The ability to build trust with external partners while protecting Protege’s standards around rights, privacy, security, quality, delivery, and commercial sustainability.
Experience with healthcare administrative, claims, payer, provider, revenue-cycle, prior-authorization, scheduling, call-center, pharmacy, laboratory, imaging, or care-management data.
Experience working with health systems, provider groups, payers, TPAs, MSOs, healthcare technology vendors, digital health companies, or other healthcare organizations with operational data.
Existing relationships with healthcare data holders, aggregators, brokers, technology vendors, or workflow operators.
Experience with data licensing, AI/ML infrastructure, model development, evaluation, human data, or a two-sided marketplace.
Experience evaluating samples or data products with technical, analytics, clinical, privacy, security, or operations teams.
Familiarity with HIPAA, PHI, PII, de-identification, tokenization, linkage, consent, data-use agreements, business-associate requirements, intellectual property, licensing restrictions, or exclusivity structures.
Experience assessing data representativeness, missingness, label quality, longitudinal continuity, entity resolution, workflow coverage, or sampling bias.
Experience building partner programs, sourcing channels, pricing frameworks, qualification systems, privacy checklists, or other operating infrastructure from scratch.
Experience working across multiple healthcare subsectors, workflows, or modalities rather than owning only one narrowly defined category.
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
","descriptionPlain":"Company Overview:\n\nWe 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.\n\nSolving 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.\n\nWe’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.\n\n\n\n\nTHE ROLE\n\nProtege is hiring a Strategic Partnerships Manager - Healthcare Administrative & Operations Data to help customers and prospects access high-value, rights-protected healthcare data for AI training, post-training, evaluation, and workflow development.\n\nYou will sit at the intersection of customers, commercial teams, Data Lab, Solutions, Privacy and Legal, Operations, and healthcare data partners.\n\nYour job will be to turn an unmet healthcare data need into a clear sourcing strategy, identify and qualify the right supply paths, and move the opportunity from first conversation through diligence, contracting, activation, and handoff.\n\nThis role is focused on administrative and operational data rather than primarily clinical or diagnostic datasets. Relevant workflows may include:\n\n - Eligibility, enrollment, benefits, and member administration\n\n - Claims, billing, payment, revenue cycle, and denial management\n\n - Prior authorization, utilization management, and referral operations\n\n - Scheduling, access, intake, registration, and care coordination\n\n - Provider network, credentialing, staffing, and practice operations\n\n - Contact center, patient/member communications, and service operations\n\n - Pharmacy, lab, imaging, and other healthcare workflow operations\n\n - Health plan, employer, third-party administrator, and population-health administration\n\n - EHR, practice-management, care-management, and revenue-cycle workflow data\n\nThis is a generalist role with two connected motions:\n\n - Reactive sourcing: Respond quickly to data requests tied to active customer and prospect opportunities, identifying the closest-aligned healthcare workflow or partner path and driving the work toward a viable commercial outcome.\n\n - Proactive sourcing: Build relationships with promising healthcare organizations, technology companies, data aggregators, brokers, and channel partners before a specific deal requires them, using customer demand, market intelligence, and Data Lab priorities to decide where to invest.\n\nYou will not be responsible for sourcing everything indiscriminately. You will use judgment to prioritize healthcare data partners that are likely to create customer value, can meet Protege’s quality, privacy, and rights standards, and fit our commercial model.\n\n\n\n\nWHAT YOU’LL DO\n\n - Translate customer and prospect needs into clear healthcare data sourcing briefs, including workflow, population, modality, data elements, granularity, volume, format, geography, time period, refresh cadence, use case, rights requirements, and success criteria.\n\n - Build a working map of healthcare administrative and operations data supply, including health systems, provider groups, payers, TPAs, MSOs, RCM companies, healthcare technology vendors, digital health companies, call centers, laboratories, pharmacies, data aggregators, brokers, and other relevant supply paths.\n\n - Source and build trusted relationships with organizations that hold operationally rich healthcare data and can articulate its provenance, permissions, quality, and delivery model.\n\n - Run partner discovery and qualification conversations to understand the underlying workflow, how the data is generated, what entities and events it represents, how it is linked, what fields and labels are available, and what transformations have been applied.\n\n - Evaluate whether a dataset reflects real operational work rather than only static records, including queues, decisions, handoffs, exceptions, outcomes, timestamps, and longitudinal workflow context where appropriate.\n\n - Assess privacy, security, and rights considerations early, including PHI and PII exposure, de-identification methodology, re-identification risk, consent or notice considerations, downstream use restrictions, data-use agreements, business-associate requirements, and any restrictions on AI training or model evaluation.\n\n - Prioritize opportunities based on customer demand, strategic value, uniqueness, data quality, representativeness, feasibility, rights posture, delivery readiness, and the likelihood of a sustainable commercial relationship.\n\n - Own partner progression from first conversation through NDA, sample intake, privacy and legal diligence, Data Lab evaluation, feedback, deal structuring, contracting, activation, and handoff into the appropriate operating team.\n\n - Coordinate closely with Commercial, Data Lab, Solutions, Privacy, Security, Legal, Product, and Operations so that partner opportunities move quickly without creating avoidable delivery, rights, privacy, or pricing risk.\n\n - Support customer and prospect deals by finding viable healthcare data paths, setting realistic expectations about coverage and limitations, and keeping internal and external stakeholders aligned on next steps.\n\n - Help structure partnerships, including licensing, channel, co-development, exclusivity, data contribution, and other commercial arrangements, using Protege’s standard terms and pricing guardrails wherever possible.\n\n - Maintain a clear, current view of partner capabilities, workflow coverage, data elements, active sourcing requests, qualification status, samples, risks, approvals, next steps, and commercial readiness in the systems of record.\n\n - Develop repeatable healthcare-specific sourcing workflows, qualification criteria, partner-intake processes, privacy and rights checklists, sample-review standards, and handoff requirements that make the broader partnerships function more scalable.\n\n - Bring market intelligence back to leadership, Data Lab, Product, and Commercial: what healthcare AI customers are asking for, where operational data supply is emerging, how partner economics are changing, and which data gaps are worth solving.\n\n - Build trusted relationships with partners and make sure they receive clear communication, thoughtful process, and a credible path to value through Protege.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n\nFIRST 30 DAYS: LEARN THE HEALTHCARE DATA LANDSCAPE AND CREATE VISIBILITY\n\n - Build a clear view of Protege’s active customer and prospect requests involving healthcare administrative and operations data.\n\n - Learn Protege’s sourcing-to-activation workflow, healthcare data standards, privacy and rights review process, and operating model across GTM Partnerships, Commercial, Data Lab, Solutions, Operations, Privacy, Security, and Legal.\n\n - Develop a practical market map of priority healthcare workflow categories, likely data holders, aggregators, brokers, and channel partners.\n\n - Create a prioritized view of immediate reactive sourcing needs and proactive healthcare partner categories, with clear owners, qualification questions, and next steps.\n\n - Independently run initial partner discovery and qualification conversations with strong notes, sound judgment, and consistent follow-through.\n\n\nDAYS 31–60: RUN THE MOTION AND MOVE OPPORTUNITIES FORWARD\n\n - Consistently convert customer and prospect requests into actionable healthcare sourcing plans and qualified partner opportunities.\n\n - Move priority partners through data-rights review, privacy diligence, sample coordination, Data Lab feedback, and commercial evaluation with tight cross-functional coordination.\n\n - Demonstrate the ability to distinguish between a dataset that merely contains healthcare records and one that captures useful operational context, workflow sequence, or decision-relevant signals.\n\n - Support active deals by identifying viable supply paths, surfacing rights, privacy, quality, and delivery risks early, and keeping partner and internal stakeholders aligned.\n\n - Document the first version of reusable healthcare data qualification, sample-review, privacy-intake, and handoff workflows.\n\n\nDAYS 61–90: MAKE HEALTHCARE SOURCING MORE REPEATABLE AND COMMERCIALLY USEFUL\n\n - Establish a reliable operating rhythm for reactive deal support and proactive healthcare partner development.\n\n - Build a prioritized partner pipeline that reflects customer demand, strategic workflow gaps, data quality, privacy and rights posture, delivery readiness, and commercial potential.\n\n - Progress initial partner opportunities into activation or clearly documented next decisions, including why to advance, pause, or disqualify them.\n\n - Deliver a 90-day view of what is working, what is not, where healthcare administrative and operations sourcing is creating the most commercial leverage, and which systems or decisions would help the function scale.\n\n\nWHAT YOU BRING\n\nWe care more about what you have accomplished and how you operate than about a specific career path or number of years in a role.\n\n - Experience in partnerships, business development, strategic sourcing, enterprise sales, marketplace development, procurement, healthcare operations, or a similarly commercial and relationship-oriented function.\n\n - A track record of taking ambiguous opportunities from an initial question to a concrete plan, aligned stakeholders, and measurable progress.\n\n - Strong commercial judgment: you can distinguish an interesting healthcare data partner from a partner worth investing in, and you are comfortable saying no when the fit is weak.\n\n - Experience navigating multi-stakeholder work across external partners and internal teams, including technical, commercial, privacy, legal, security, and operational stakeholders.\n\n - The ability to qualify healthcare data opportunities quickly by asking practical questions about the underlying workflow, data generation, quality, provenance, rights, privacy, scale, timeline, economics, and decision-makers.\n\n - Enough healthcare fluency to understand how administrative and operational data is created, where it can be incomplete or biased, and how workflow context affects its usefulness.\n\n - Strong written and verbal communication. You can explain nuanced healthcare data, AI training, privacy, and commercial considerations clearly to a customer, partner, researcher, operator, executive, or legal stakeholder.\n\n - Operational rigor in pipeline and relationship management, including accurate records, clear ownership, crisp next steps, and consistent follow-through.\n\n - Comfort working in an environment where the playbook is incomplete and priorities change as new customer demand emerges.\n\n - A bias toward action and the persistence to keep complicated work moving without creating unnecessary friction.\n\n - The ability to build trust with external partners while protecting Protege’s standards around rights, privacy, security, quality, delivery, and commercial sustainability.\n\n\nNICE TO HAVE\n\n - Experience with healthcare administrative, claims, payer, provider, revenue-cycle, prior-authorization, scheduling, call-center, pharmacy, laboratory, imaging, or care-management data.\n\n - Experience working with health systems, provider groups, payers, TPAs, MSOs, healthcare technology vendors, digital health companies, or other healthcare organizations with operational data.\n\n - Existing relationships with healthcare data holders, aggregators, brokers, technology vendors, or workflow operators.\n\n - Experience with data licensing, AI/ML infrastructure, model development, evaluation, human data, or a two-sided marketplace.\n\n - Experience evaluating samples or data products with technical, analytics, clinical, privacy, security, or operations teams.\n\n - Familiarity with HIPAA, PHI, PII, de-identification, tokenization, linkage, consent, data-use agreements, business-associate requirements, intellectual property, licensing restrictions, or exclusivity structures.\n\n - Experience assessing data representativeness, missingness, label quality, longitudinal continuity, entity resolution, workflow coverage, or sampling bias.\n\n - Experience building partner programs, sourcing channels, pricing frameworks, qualification systems, privacy checklists, or other operating infrastructure from scratch.\n\n - Experience working across multiple healthcare subsectors, workflows, or modalities rather than owning only one narrowly defined category.\n\n\nPROTEGE VALUES\n\nPass the Loved Ones’ Test\n\nWe act with integrity and do the right thing — especially when it’s hard and no one is watching.\n\nAlways Find a Way\n\nWe are resourceful, resilient builders who solve hard problems and push through obstacles.\n\nGo Fast and Grow Fast\n\nVelocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.\n\nPractice Kindness and Candor\n\nWe communicate directly and respectfully, building trust through honest feedback and genuine care for one another.\n\nDeliver Together\n\nWe win as one team. Collaboration, accountability, and shared ownership drive our success.\n\nOwn the Outcome. Hone the Craft.\n\nWe take pride in our work, sweat the details, and continuously raise the bar for excellence."},{"id":"3821b578-8f52-431e-93c1-08c714d52574","title":"Strategic Partnerships Manager, Revenue Cycle Management ","department":"Healthcare Partnerships","team":"Healthcare Partnerships","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-10-22T16:49:43.108+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/protege/3821b578-8f52-431e-93c1-08c714d52574","applyUrl":"https://jobs.ashbyhq.com/protege/3821b578-8f52-431e-93c1-08c714d52574/application","descriptionHtml":"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.
Protege is hiring a Strategic Partnerships Manager - Revenue Cycle Management to help customers and prospects access high-value, rights-protected data quickly.
You will sit at the intersection of customers, commercial teams, Data Lab, Solutions, Operations, and external data partners. Your job will be to turn an unmet data need into a clear sourcing strategy, identify and qualify the right partners, and move the opportunity from first conversation through diligence, contracting, activation, and handoff.
This is a generalist role (with a focus in RCM) with two connected motions.
Reactive sourcing: Respond quickly to data requests tied to active customer and prospect deals, identifying the closest-aligned vertical or partner path and driving the work toward a viable commercial outcome.
Proactive sourcing: Build relationships with promising data holders, aggregators, brokers, and channel partners before a specific deal requires them, using customer demand, market intelligence, and Data Lab priorities to decide where to invest.
You will not be responsible for sourcing everything indiscriminately. You will use judgment to prioritize partners that are likely to create customer value, can meet Protege’s quality and rights standards, and fit our commercial model.
Translate customer and prospect data needs into clear sourcing briefs, including modality, use case, volume, format, geography, timeline, rights requirements, and success criteria.
Source and build relationships with data holders, aggregators, brokers, channel partners, and other high-leverage supply paths across Protege’s verticals and modalities.
Run partner discovery and qualification conversations to understand data capabilities, provenance, rights, licensing posture, exclusivity, privacy and de-identification considerations, scale, technical maturity, and commercial potential.
Prioritize opportunities based on customer demand, strategic value, data quality, uniqueness, feasibility, and the likelihood of a sustainable commercial relationship.
Own partner progression from first conversation through NDA, sample intake, Data Lab evaluation, feedback, diligence, deal structuring, contracting, activation, and handoff into the appropriate operating team.
Coordinate closely with Commercial, Data Lab, Solutions, Product, Legal, and Operations so that partner opportunities move quickly without creating avoidable delivery, rights, or pricing risk.
Support customer and prospect deals by finding viable data paths, setting realistic expectations, and keeping internal and external stakeholders aligned on next steps.
Help structure partnerships, including licensing, channel, co-development, exclusivity, and other commercial arrangements, using Protege’s standard terms and pricing guardrails wherever possible.
Maintain a clear, current view of partner capabilities, active sourcing requests, qualification status, samples, risks, next steps, and commercial readiness in the systems of record.
Develop repeatable sourcing workflows, qualification criteria, partner-intake processes, and handoff standards that make the broader partnerships function more scalable.
Bring market intelligence back to leadership, Data Lab, Product, and Commercial: what customers are asking for, where supply is emerging, how partner economics are changing, and which gaps are worth solving.
Build trusted relationships with partners and make sure they receive clear communication, thoughtful process, and a credible path to value through Protege.
Build a clear view of Protege’s active customer and prospect data requests, current partner landscape, vertical ownership model, and sourcing-to-activation workflow.
Meet the key stakeholders across GTM Partnerships, Commercial, Data Lab, Solutions, Operations, Product, and Legal and understand how decisions get made.
Create a prioritized view of immediate reactive sourcing needs and proactive partner categories, with clear owners and next steps.
Independently run initial partner discovery and qualification conversations with strong notes, judgment, and follow-through.
Consistently convert customer and prospect requests into actionable sourcing plans and qualified partner opportunities.
Move priority partners through diligence, sample coordination, Data Lab feedback, and commercial evaluation with tight cross-functional coordination.
Support active deals by identifying viable supply paths, surfacing risks early, and keeping partner and internal stakeholders aligned.
Document the first version of reusable sourcing, qualification, and handoff workflows.
Establish a reliable operating rhythm for both reactive deal support and proactive partner development.
Build a prioritized partner pipeline that reflects customer demand, strategic data gaps, partner quality, and commercial readiness.
Progress initial partner opportunities into activation or clearly documented next decisions, including why to advance, pause, or disqualify them.
Deliver a 90-day view of what is working, what is not, where sourcing is creating the most commercial leverage, and which systems or decisions would help the function scale.
We care more about what you have accomplished and how you operate than about a specific career path or number of years in a role.
Experience in partnerships, business development, strategic sourcing, enterprise sales, marketplace development, procurement, or a similarly commercial and relationship-oriented function.
Experience working in the revenue cycle market - whether directly or as a part of larger healthcare operations
A track record of taking ambiguous opportunities from an initial question to a concrete plan, aligned stakeholders, and measurable progress.
Strong commercial judgment: you can distinguish an interesting partner from a partner worth investing in, and you are comfortable saying no when the fit is weak.
Experience navigating multi-stakeholder work across external partners and internal teams, including technical, commercial, legal, and operational stakeholders.
The ability to qualify data or technology opportunities quickly by asking practical questions about use case, quality, provenance, rights, scale, timeline, economics, and decision-makers.
Strong written and verbal communication. You can explain nuanced data or AI training clearly to a customer, a partner, a researcher, an operator, or an executive.
Operational rigor in pipeline and relationship management, including accurate records, clear ownership, crisp next steps, and consistent follow-through.
Comfort working in an environment where the playbook is incomplete and priorities change as new customer demand emerges.
A bias toward action and the persistence to keep complicated work moving without creating unnecessary friction.
The ability to build trust with external partners while protecting Protege’s standards around rights, privacy, quality, delivery, and commercial sustainability.
Experience with data licensing, AI/ML infrastructure, model development, evaluation, human data, or a two-sided marketplace.
Existing relationships with data aggregators, brokers, expert networks, content owners, healthcare organizations, media companies, or other organizations that hold valuable real-world data.
Experience evaluating samples or data products with technical teams.
Familiarity with data provenance, privacy, de-identification, intellectual property, licensing restrictions, or exclusivity structures.
Experience building partner programs, sourcing channels, pricing frameworks, qualification systems, or other operating infrastructure from scratch.
Experience working across multiple verticals or modalities rather than owning only one narrowly defined category.
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
","descriptionPlain":"Company Overview:\n\nWe 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.\n\nSolving 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.\n\nWe’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.\n\n\n\n\nTHE ROLE\n\nProtege is hiring a Strategic Partnerships Manager - Revenue Cycle Management to help customers and prospects access high-value, rights-protected data quickly.\n\nYou will sit at the intersection of customers, commercial teams, Data Lab, Solutions, Operations, and external data partners. Your job will be to turn an unmet data need into a clear sourcing strategy, identify and qualify the right partners, and move the opportunity from first conversation through diligence, contracting, activation, and handoff.\n\nThis is a generalist role (with a focus in RCM) with two connected motions.\n\n - Reactive sourcing: Respond quickly to data requests tied to active customer and prospect deals, identifying the closest-aligned vertical or partner path and driving the work toward a viable commercial outcome.\n\n - Proactive sourcing: Build relationships with promising data holders, aggregators, brokers, and channel partners before a specific deal requires them, using customer demand, market intelligence, and Data Lab priorities to decide where to invest.\n\nYou will not be responsible for sourcing everything indiscriminately. You will use judgment to prioritize partners that are likely to create customer value, can meet Protege’s quality and rights standards, and fit our commercial model.\n\n\n\n\nWHAT YOU’LL DO\n\n - Translate customer and prospect data needs into clear sourcing briefs, including modality, use case, volume, format, geography, timeline, rights requirements, and success criteria.\n\n - Source and build relationships with data holders, aggregators, brokers, channel partners, and other high-leverage supply paths across Protege’s verticals and modalities.\n\n - Run partner discovery and qualification conversations to understand data capabilities, provenance, rights, licensing posture, exclusivity, privacy and de-identification considerations, scale, technical maturity, and commercial potential.\n\n - Prioritize opportunities based on customer demand, strategic value, data quality, uniqueness, feasibility, and the likelihood of a sustainable commercial relationship.\n\n - Own partner progression from first conversation through NDA, sample intake, Data Lab evaluation, feedback, diligence, deal structuring, contracting, activation, and handoff into the appropriate operating team.\n\n - Coordinate closely with Commercial, Data Lab, Solutions, Product, Legal, and Operations so that partner opportunities move quickly without creating avoidable delivery, rights, or pricing risk.\n\n - Support customer and prospect deals by finding viable data paths, setting realistic expectations, and keeping internal and external stakeholders aligned on next steps.\n\n - Help structure partnerships, including licensing, channel, co-development, exclusivity, and other commercial arrangements, using Protege’s standard terms and pricing guardrails wherever possible.\n\n - Maintain a clear, current view of partner capabilities, active sourcing requests, qualification status, samples, risks, next steps, and commercial readiness in the systems of record.\n\n - Develop repeatable sourcing workflows, qualification criteria, partner-intake processes, and handoff standards that make the broader partnerships function more scalable.\n\n - Bring market intelligence back to leadership, Data Lab, Product, and Commercial: what customers are asking for, where supply is emerging, how partner economics are changing, and which gaps are worth solving.\n\n - Build trusted relationships with partners and make sure they receive clear communication, thoughtful process, and a credible path to value through Protege.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n\nFIRST 30 DAYS: LEARN THE BUSINESS AND CREATE VISIBILITY\n\n - Build a clear view of Protege’s active customer and prospect data requests, current partner landscape, vertical ownership model, and sourcing-to-activation workflow.\n\n - Meet the key stakeholders across GTM Partnerships, Commercial, Data Lab, Solutions, Operations, Product, and Legal and understand how decisions get made.\n\n - Create a prioritized view of immediate reactive sourcing needs and proactive partner categories, with clear owners and next steps.\n\n - Independently run initial partner discovery and qualification conversations with strong notes, judgment, and follow-through.\n\n\nDAYS 31–60: RUN THE MOTION AND MOVE OPPORTUNITIES FORWARD\n\n - Consistently convert customer and prospect requests into actionable sourcing plans and qualified partner opportunities.\n\n - Move priority partners through diligence, sample coordination, Data Lab feedback, and commercial evaluation with tight cross-functional coordination.\n\n - Support active deals by identifying viable supply paths, surfacing risks early, and keeping partner and internal stakeholders aligned.\n\n - Document the first version of reusable sourcing, qualification, and handoff workflows.\n\n\nDAYS 61–90: MAKE SOURCING MORE REPEATABLE AND COMMERCIALLY USEFUL\n\n - Establish a reliable operating rhythm for both reactive deal support and proactive partner development.\n\n - Build a prioritized partner pipeline that reflects customer demand, strategic data gaps, partner quality, and commercial readiness.\n\n - Progress initial partner opportunities into activation or clearly documented next decisions, including why to advance, pause, or disqualify them.\n\n - Deliver a 90-day view of what is working, what is not, where sourcing is creating the most commercial leverage, and which systems or decisions would help the function scale.\n\n\nWHAT YOU BRING\n\nWe care more about what you have accomplished and how you operate than about a specific career path or number of years in a role.\n\n - Experience in partnerships, business development, strategic sourcing, enterprise sales, marketplace development, procurement, or a similarly commercial and relationship-oriented function.\n\n - Experience working in the revenue cycle market - whether directly or as a part of larger healthcare operations\n\n - A track record of taking ambiguous opportunities from an initial question to a concrete plan, aligned stakeholders, and measurable progress.\n\n - Strong commercial judgment: you can distinguish an interesting partner from a partner worth investing in, and you are comfortable saying no when the fit is weak.\n\n - Experience navigating multi-stakeholder work across external partners and internal teams, including technical, commercial, legal, and operational stakeholders.\n\n - The ability to qualify data or technology opportunities quickly by asking practical questions about use case, quality, provenance, rights, scale, timeline, economics, and decision-makers.\n\n - Strong written and verbal communication. You can explain nuanced data or AI training clearly to a customer, a partner, a researcher, an operator, or an executive.\n\n - Operational rigor in pipeline and relationship management, including accurate records, clear ownership, crisp next steps, and consistent follow-through.\n\n - Comfort working in an environment where the playbook is incomplete and priorities change as new customer demand emerges.\n\n - A bias toward action and the persistence to keep complicated work moving without creating unnecessary friction.\n\n - The ability to build trust with external partners while protecting Protege’s standards around rights, privacy, quality, delivery, and commercial sustainability.\n\n\nNICE TO HAVE\n\n - Experience with data licensing, AI/ML infrastructure, model development, evaluation, human data, or a two-sided marketplace.\n\n - Existing relationships with data aggregators, brokers, expert networks, content owners, healthcare organizations, media companies, or other organizations that hold valuable real-world data.\n\n - Experience evaluating samples or data products with technical teams.\n\n - Familiarity with data provenance, privacy, de-identification, intellectual property, licensing restrictions, or exclusivity structures.\n\n - Experience building partner programs, sourcing channels, pricing frameworks, qualification systems, or other operating infrastructure from scratch.\n\n - Experience working across multiple verticals or modalities rather than owning only one narrowly defined category.\n\n\nPROTEGE VALUES\n\nPass the Loved Ones’ Test\n\nWe act with integrity and do the right thing — especially when it’s hard and no one is watching.\n\nAlways Find a Way\n\nWe are resourceful, resilient builders who solve hard problems and push through obstacles.\n\nGo Fast and Grow Fast\n\nVelocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.\n\nPractice Kindness and Candor\n\nWe communicate directly and respectfully, building trust through honest feedback and genuine care for one another.\n\nDeliver Together\n\nWe win as one team. Collaboration, accountability, and shared ownership drive our success.\n\nOwn the Outcome. Hone the Craft.\n\nWe take pride in our work, sweat the details, and continuously raise the bar for excellence."},{"id":"5d3ddab9-5a02-4343-bfcb-d263a7793c88","title":"Strategic Partnerships Manager, Omics and Genomics","department":"Healthcare Partnerships","team":"Healthcare Partnerships","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-11-05T02:22:57.393+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/protege/5d3ddab9-5a02-4343-bfcb-d263a7793c88","applyUrl":"https://jobs.ashbyhq.com/protege/5d3ddab9-5a02-4343-bfcb-d263a7793c88/application","descriptionHtml":"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.
Qualify sequencing labs, biobanks, diagnostics providers, life sciences companies, and research consortia with genomics, transcriptomics, proteomics, or multi-omics data.
Assess dataset differentiation through cohort composition, assay or sequencing methods, raw and processed data availability, quality documentation, and linked clinical or phenotype information.
Coordinate NDAs, sample access, and DataLab evaluation; clarify provenance, permitted uses, and consent or licensing restrictions with the appropriate internal reviewers.
Work with Commercial on pricing, licensing structures, and statements of work, and coordinate activation with Healthcare Operations and Solutions.
Build trusted partner relationships, surface underused molecular data assets, and recommend partnerships that address customer needs and gaps in the omics portfolio.
Experience in partnerships, business development, or data licensing in life sciences, with a track record of advancing external relationships into execution.
Direct experience with genomics and working knowledge of transcriptomics, proteomics, and the broader multi-omics landscape.
Familiarity with raw and processed sequencing files such as FASTQ, BAM, and VCF; able to discuss dataset quality, provenance, and relevant documentation with technical stakeholders.
Understanding of how cohort characteristics, assay methods, and linked clinical or phenotype information affect dataset usefulness.
Ability to surface consent, de-identification, and data-use restrictions for expert review; strong cross-functional coordination and judgment in an early-stage environment.
Experience with AI data partnerships, research data commercialization, or sample evaluation workflows.
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
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.
You will shape and deliver healthcare AI assessments around the decisions customers need to make. Translate their needs into feasible scopes and own delivery across DataLab, engineering, verification and data partners, from initial feasibility through customer acceptance.
Combine solution design, hands-on delivery and strategic judgment. Weigh trade-offs across data sources, evaluation approaches and capacity; recommend priorities and reusable investments. Stay close to the technical work to challenge assumptions and troubleshoot dependencies, and turn delivery experience into playbooks and better operating decisions.
Translate customer goals into assessment scopes, success criteria and delivery plans with clear technical and commercial assumptions.
Coordinate DataLab, engineering, commercial teams and data partners through each delivery stage.
Coordinate partner specifications and data-readiness checks across relevant EHR, claims, imaging, pathology and text sources.
Serve as the primary delivery contact, making technical decisions, progress, risks and trade-offs clear to customers.
Assess technical feasibility and recommend scope, source or execution options based on customer value, effort, risk and capacity.
Coordinate data-quality, privacy, scientific and technical readiness reviews with the responsible experts before work advances.
Manage changing requirements and competing projects, recommending priorities and showing the impact on timing, effort and deliverables.
Build reusable playbooks for intake, feasibility, QA, partner handoffs, escalation and acceptance.
Use delivery evidence to prioritize process and tooling improvements, explaining expected customer value and capacity benefits.
Coordinate results delivery, customer acceptance and the handoff into the next assessment or rerun.
First 30 days: Understand the customer decisions, healthcare data needs and technical dependencies across the assigned portfolio. Establish a delivery cadence, baseline effort and rework, and identify the most important constraints on delivery.
By 60 days: Lead assigned customer deliveries, move at least one through a meaningful milestone, and apply the playbook across two projects or delivery cycles. Secure agreement on a scope or prioritization recommendation that balances customer value, technical feasibility and capacity.
By 90 days: Lead a project to acceptance or its agreed checkpoint, demonstrate improvement against a delivery baseline, and make the playbook usable by another teammate. Recommend a prioritized delivery roadmap with concrete process or tooling investments and expected benefits.
You have shaped and delivered complex customer or partner engagements, translating an ambiguous need into a feasible solution and a concrete outcome.
You have coordinated technical, operational and external stakeholders, making dependencies and decision ownership clear without relying on direct authority.
You have managed changing requirements and difficult timelines while maintaining clear expectations and customer trust.
You have built a playbook or operating process that other people adopted, and can show how it reduced confusion, delay or repeated work.
Optional: You have worked with healthcare data before
Optional: Experience with AI evaluations, ML products or enterprise data delivery is valuable. SQL, Python and API tooling are helpful, not required; you must be able to interpret technical evidence and work effectively with the specialists who produce it.
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
","descriptionPlain":"Company Overview:\n\nWe 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.\n\nSolving 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.\n\nWe’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.\n\n\n\n\nSUMMARY\n\nYou will shape and deliver healthcare AI assessments around the decisions customers need to make. Translate their needs into feasible scopes and own delivery across DataLab, engineering, verification and data partners, from initial feasibility through customer acceptance.\n\nCombine solution design, hands-on delivery and strategic judgment. Weigh trade-offs across data sources, evaluation approaches and capacity; recommend priorities and reusable investments. Stay close to the technical work to challenge assumptions and troubleshoot dependencies, and turn delivery experience into playbooks and better operating decisions.\n\n\n\n\nWHAT YOU’LL DO\n\n - Translate customer goals into assessment scopes, success criteria and delivery plans with clear technical and commercial assumptions.\n\n - Coordinate DataLab, engineering, commercial teams and data partners through each delivery stage.\n\n - Coordinate partner specifications and data-readiness checks across relevant EHR, claims, imaging, pathology and text sources.\n\n - Serve as the primary delivery contact, making technical decisions, progress, risks and trade-offs clear to customers.\n\n - Assess technical feasibility and recommend scope, source or execution options based on customer value, effort, risk and capacity.\n\n - Coordinate data-quality, privacy, scientific and technical readiness reviews with the responsible experts before work advances.\n\n - Manage changing requirements and competing projects, recommending priorities and showing the impact on timing, effort and deliverables.\n\n - Build reusable playbooks for intake, feasibility, QA, partner handoffs, escalation and acceptance.\n\n - Use delivery evidence to prioritize process and tooling improvements, explaining expected customer value and capacity benefits.\n\n - Coordinate results delivery, customer acceptance and the handoff into the next assessment or rerun.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - First 30 days: Understand the customer decisions, healthcare data needs and technical dependencies across the assigned portfolio. Establish a delivery cadence, baseline effort and rework, and identify the most important constraints on delivery.\n\n - By 60 days: Lead assigned customer deliveries, move at least one through a meaningful milestone, and apply the playbook across two projects or delivery cycles. Secure agreement on a scope or prioritization recommendation that balances customer value, technical feasibility and capacity.\n\n - By 90 days: Lead a project to acceptance or its agreed checkpoint, demonstrate improvement against a delivery baseline, and make the playbook usable by another teammate. Recommend a prioritized delivery roadmap with concrete process or tooling investments and expected benefits.\n\n\nWHAT YOU BRING\n\n - You have shaped and delivered complex customer or partner engagements, translating an ambiguous need into a feasible solution and a concrete outcome.\n\n - You have coordinated technical, operational and external stakeholders, making dependencies and decision ownership clear without relying on direct authority.\n\n - You have managed changing requirements and difficult timelines while maintaining clear expectations and customer trust.\n\n - You have built a playbook or operating process that other people adopted, and can show how it reduced confusion, delay or repeated work.\n\n - Optional: You have worked with healthcare data before\n\n - Optional: Experience with AI evaluations, ML products or enterprise data delivery is valuable. SQL, Python and API tooling are helpful, not required; you must be able to interpret technical evidence and work effectively with the specialists who produce it.\n\n\nPROTEGE VALUES\n\nPass the Loved Ones’ Test\n\nWe act with integrity and do the right thing — especially when it’s hard and no one is watching.\n\nAlways Find a Way\n\nWe are resourceful, resilient builders who solve hard problems and push through obstacles.\n\nGo Fast and Grow Fast\n\nVelocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.\n\nPractice Kindness and Candor\n\nWe communicate directly and respectfully, building trust through honest feedback and genuine care for one another.\n\nDeliver Together\n\nWe win as one team. Collaboration, accountability, and shared ownership drive our success.\n\nOwn the Outcome. Hone the Craft.\n\nWe take pride in our work, sweat the details, and continuously raise the bar for excellence."},{"id":"efd0af93-85fc-435f-9242-d7ae670e869a","title":"Gen Marketer","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-10-26T17:16:34.148+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/protege/efd0af93-85fc-435f-9242-d7ae670e869a","applyUrl":"https://jobs.ashbyhq.com/protege/efd0af93-85fc-435f-9242-d7ae670e869a/application","descriptionHtml":"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.
This is the perfect role for a marketing generalist who uses their unique combination of marketing foundations (2+ of product, growth, content/brand, ecosystem), operational rigor, AI tools, and creative “taste” to produce and direct marketing campaigns that drive commercial results and brand recognition.
You won’t start from zero. You’ll report to an AI-pilled Head of Marketing, alongside a field marketing/events whiz who’s run 20+ events a quarter, a seasoned community builder, and engaged executives who are equally allergic to random acts of marketing. It’s a startup, so things are messy – but it’s not many our first 0-to-1 startup rodeo for most of us.
You’ll report to the Head of Marketing and work alongside startup veterans to give leverage to our existing growth channels and jumpstart new ones. Your job is to connect the Lego blocks—and build the missing ones.
Today, you’re someone who wants to be the “super IC” who combines the core marketing and growth fundamentals and first principles of the past decade and with the next gen marketing tools of today to drive outsized results.
You’re already experienced or familiar with the marketing waves the future — such as narrative new media, agentic workflows, cross-channel campaign building, community building, and IRL activations, to name a few — and you want to join a scaling AI company that recognizes the asymmetric advantage this gives those that ride the wave accordingly.
Tomorrow, you might be a future head of marketing, leader of a core marketing discipline, or found your own company or launch a brand where content is a core differentiator. In preparation for that future, you’re excited to join a place where you can build your own personal brand in tandem with a scaling AI business, with a team that’s invested in your development. You want to be pushed to do the best work of your life, while having the latitude for testing, developing, and scaling what that work could look like.
You use next-gen tools without throwing out a decade of hard-won fundamentals: ie. know your audience, tell a story that matters, earn distribution, and measure what moves the business.
You care whether your campaigns make a direct impact on business results — not vanity metrics.
You love new media: you test new formats yourself, and you’re well versed in what hits online.
You tried all the AI tools – and figured out what works for you & your team’s workflow.
You’re a natural systems thinker at understanding how to combine different areas of marketing into a cohesive plan – you don’t hand things off to the expert, you expect to be the expert.
You have creative itches that show up unexpectedly, whether at work or in hobbies.
It’s not your first scaling startup experience - or not your first time starting something meaningful to you from scratch.
Own campaigns from idea to impact: brief, copy, landing page, distribution, follow-up, and results. Sometimes, the right-sized campaign should go live in a day. Other times, it takes weeks of careful preparation.
Make good stories travel. Turn product, research, executive, and community insights into social, email, new-media, and partner-channel content that people actually want. You’re not just in charge of the content or the distribution – it’s your job to make sure the right content reaches the right people.
Connect the pieces. Bring events, community, content, and commercial follow-up together around a clear audience and goal.
Test what works. Run focused growth experiments across paid, organic, sponsorships, partnerships, and conversion. And not every channel at once, just for the sake of it.
Build the machinery. Use data, agents, and automation to improve campaign production, targeting, tracking, and handoffs. Own the quality of what you ship.
Close the loop. Know what drove relevant engagement and commercial conversations, what wasted effort, and what to do next.
This is a builder’s role. You’ll orchestrate campaigns and roll up your sleeves to do the hard work. You’ll be in charge of both execution and outcomes.
30 days: You understand the business and own recurring work.
60 days: You’ve shipped an integrated campaign and removed execution bottlenecks on your own.
90 days: You run a reliable campaign rhythm, have tested new growth opportunities, and take the team to new heights and new opportunities thanks to your combo of creativity and execution.
Proof you ship. Campaigns, assets, or systems you personally built, then what happened.
Strong writing + taste. Complex ideas made clear, written + visual + campaign cohesiveness w/ the channels.
First-principles judgment. You start with the audience and business goal, not a channel checklist.
Technical resourcefulness. Use AI to build — not just generate more copy.
Ownership from start-to-finish. Don’t need someone to look over shoulder, but know when to get leverage
Ambition without ego. You want direct feedback, high standards, and to discover your potential
Early-stage AI, AI/B2B Marketplace, B2B, agency, growth, and/or GTM experience with broad execution responsibility across marketing and growth competencies.
A clear additional skill spike in creative, growth marketing channels, ABM, web, marketing operations, or AI-focused workflow automation.
Experience with technical audiences, AI, healthcare, events, or communities.
You don’t need to be the best at everything. But you must have the strong desire to learn and climb the learning curve.
Protege Values
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
","descriptionPlain":"Company Overview:\n\nWe 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.\n\nSolving 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.\n\nWe’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.\n\n\n\n\nTHE OPPORTUNITY\n\nThis is the perfect role for a marketing generalist who uses their unique combination of marketing foundations (2+ of product, growth, content/brand, ecosystem), operational rigor, AI tools, and creative “taste” to produce and direct marketing campaigns that drive commercial results and brand recognition.\n\n\n\nYou won’t start from zero. You’ll report to an AI-pilled Head of Marketing, alongside a field marketing/events whiz who’s run 20+ events a quarter, a seasoned community builder, and engaged executives who are equally allergic to random acts of marketing. It’s a startup, so things are messy – but it’s not many our first 0-to-1 startup rodeo for most of us.\n\n\n\nYou’ll report to the Head of Marketing and work alongside startup veterans to give leverage to our existing growth channels and jumpstart new ones. Your job is to connect the Lego blocks—and build the missing ones.\n\n\n\n\nWHO YOU ARE\n\nToday, you’re someone who wants to be the “super IC” who combines the core marketing and growth fundamentals and first principles of the past decade and with the next gen marketing tools of today to drive outsized results.\n\n\n\nYou’re already experienced or familiar with the marketing waves the future — such as narrative new media, agentic workflows, cross-channel campaign building, community building, and IRL activations, to name a few — and you want to join a scaling AI company that recognizes the asymmetric advantage this gives those that ride the wave accordingly.\n\n\n\nTomorrow, you might be a future head of marketing, leader of a core marketing discipline, or found your own company or launch a brand where content is a core differentiator. In preparation for that future, you’re excited to join a place where you can build your own personal brand in tandem with a scaling AI business, with a team that’s invested in your development. You want to be pushed to do the best work of your life, while having the latitude for testing, developing, and scaling what that work could look like.\n\n\n\n\nSIGNS YOU MIGHT BE A GREAT FIT:\n\n - You use next-gen tools without throwing out a decade of hard-won fundamentals: ie. know your audience, tell a story that matters, earn distribution, and measure what moves the business.\n\n - You care whether your campaigns make a direct impact on business results — not vanity metrics.\n\n - You love new media: you test new formats yourself, and you’re well versed in what hits online.\n\n - You tried all the AI tools – and figured out what works for you & your team’s workflow.\n\n - You’re a natural systems thinker at understanding how to combine different areas of marketing into a cohesive plan – you don’t hand things off to the expert, you expect to be the expert.\n\n - You have creative itches that show up unexpectedly, whether at work or in hobbies.\n\n - It’s not your first scaling startup experience - or not your first time starting something meaningful to you from scratch.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own campaigns from idea to impact: brief, copy, landing page, distribution, follow-up, and results. Sometimes, the right-sized campaign should go live in a day. Other times, it takes weeks of careful preparation.\n\n - Make good stories travel. Turn product, research, executive, and community insights into social, email, new-media, and partner-channel content that people actually want. You’re not just in charge of the content or the distribution – it’s your job to make sure the right content reaches the right people.\n\n - Connect the pieces. Bring events, community, content, and commercial follow-up together around a clear audience and goal.\n\n - Test what works. Run focused growth experiments across paid, organic, sponsorships, partnerships, and conversion. And not every channel at once, just for the sake of it.\n\n - Build the machinery. Use data, agents, and automation to improve campaign production, targeting, tracking, and handoffs. Own the quality of what you ship.\n\n - Close the loop. Know what drove relevant engagement and commercial conversations, what wasted effort, and what to do next.\n\nThis is a builder’s role. You’ll orchestrate campaigns and roll up your sleeves to do the hard work. You’ll be in charge of both execution and outcomes.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - 30 days: You understand the business and own recurring work.\n\n - 60 days: You’ve shipped an integrated campaign and removed execution bottlenecks on your own.\n\n - 90 days: You run a reliable campaign rhythm, have tested new growth opportunities, and take the team to new heights and new opportunities thanks to your combo of creativity and execution.\n\n\n\n\nWHAT YOU BRING\n\n\nMUST-HAVES\n\n - Proof you ship. Campaigns, assets, or systems you personally built, then what happened.\n\n - Strong writing + taste. Complex ideas made clear, written + visual + campaign cohesiveness w/ the channels.\n\n - First-principles judgment. You start with the audience and business goal, not a channel checklist.\n\n - Technical resourcefulness. Use AI to build — not just generate more copy.\n\n - Ownership from start-to-finish. Don’t need someone to look over shoulder, but know when to get leverage\n\n - Ambition without ego. You want direct feedback, high standards, and to discover your potential\n\n\nNICE-TO-HAVES\n\n - Early-stage AI, AI/B2B Marketplace, B2B, agency, growth, and/or GTM experience with broad execution responsibility across marketing and growth competencies.\n\n - A clear additional skill spike in creative, growth marketing channels, ABM, web, marketing operations, or AI-focused workflow automation.\n\n - Experience with technical audiences, AI, healthcare, events, or communities.\n\nYou don’t need to be the best at everything. But you must have the strong desire to learn and climb the learning curve.\n\nProtege Values\n\nPass the Loved Ones’ Test\n\nWe act with integrity and do the right thing — especially when it’s hard and no one is watching.\n\nAlways Find a Way\n\nWe are resourceful, resilient builders who solve hard problems and push through obstacles.\n\nGo Fast and Grow Fast\n\nVelocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.\n\nPractice Kindness and Candor\n\nWe communicate directly and respectfully, building trust through honest feedback and genuine care for one another.\n\nDeliver Together\n\nWe win as one team. Collaboration, accountability, and shared ownership drive our success.\n\nOwn the Outcome. Hone the Craft.\n\nWe take pride in our work, sweat the details, and continuously raise the bar for excellence."},{"id":"6ad91c40-efc6-4b53-8a4d-45728563abbb","title":"Technical Project Lead, Data Privacy","department":"Product","team":"Product","employmentType":"FullTime","location":"New York City, NY","secondaryLocations":[],"publishedAt":"2026-10-26T23:46:05.995+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"New York ","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/protege/6ad91c40-efc6-4b53-8a4d-45728563abbb","applyUrl":"https://jobs.ashbyhq.com/protege/6ad91c40-efc6-4b53-8a4d-45728563abbb/application","descriptionHtml":"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.
Healthcare data only becomes AI training data once patient privacy is protected to a standard an independent expert will certify, while keeping the clinical detail that makes it worth training on. Black out too little and patients are exposed. Black out too much and the data loses its value.
No single tool gets this right, because every dataset is different. A radiology report, a handwritten prior-authorization fax and a veterinarian's notes each fail in their own ways. So we've built a practice instead of a product. It combines off-the-shelf tools, custom rules, language models and human review, tunes the mix for each dataset, and proves the result with the kind of statistical validation an auditor would accept. It has cleared every recent independent review with zero failures.
You'll run it. You'll lead engagements from the first look at a new dataset to certified delivery, make the calls on what's safe to ship, and improve the method with every engagement.
Lead data privacy projects from first look to certified delivery: assess the data, write the policy, tune the pipeline, validate, and deliver.
Design and run the experiments that decide which layers a dataset needs, measuring recall, over-redaction and cost for each.
Run validation the way an auditor would: set the pass bar before you look, test on fresh held-out samples, report confidence bounds, and never fix the test set.
Turn every miss into a lasting fix (a rule, a model or prompt change, or a human-review step) and lock it in with a regression test.
Work directly with independent expert determiners: prepare evidence, answer methodology questions, and respond to findings.
Direct human reviewers on the hard cases and adjudicate their disagreements.
Evaluate new tools and models (open-source NER, vendor APIs, models that run inside a partner's own environment) against our benchmarks.
Write down what you learn so the next engagement starts ahead of the last one.
30 days: learn the method. You know the playbook and tooling, you've shadowed a live engagement, and you've delivered your first intake assessment of a new partner's data.
60 days: share the load. You've co-led an engagement through validation, owned the experiment that set its pipeline, and added new rules with regression tests.
90 days: own it. You've led an engagement end to end, including the evidence package for the expert reviewer, and you've evaluated a candidate model with a clear keep-or-drop recommendation.
Must have
Minimum 2 years in data science, applied statistics, ML engineering, or quantitative research, working with real, messy data.
Solid statistics: sampling, confidence intervals, measurement design and inter-rater agreement. You can explain why a sample is big enough, and what it can't tell you.
Strong background, and experience using language models or AI coding tools to move fast.
Healthy skepticism. You verify claims before trusting them, including your own.
Clear writing for technical and non-technical readers, including external reviewers.
Authorization to work in the U.S. as a W2 employee (required for access to protected health information).
Nice to have
HIPAA de-identification experience (Safe Harbor or expert determination), or other privacy or healthcare data work
NER, OCR, clinical NLP or document processing
Working with auditors, regulators or external reviewers
Running annotation or labeling projects
Pass the Loved Ones' Test. We act with integrity and do the right thing — especially when it's hard and no one is watching.
Always Find a Way. We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast. Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor. We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together. We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft. We take pride in our work, sweat the details, and continuously raise the bar for excellence.
","descriptionPlain":"Company Overview:\n\nWe 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.\n\nSolving 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.\n\nWe’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.\n\n\n\n\nABOUT THE ROLE\n\nHealthcare data only becomes AI training data once patient privacy is protected to a standard an independent expert will certify, while keeping the clinical detail that makes it worth training on. Black out too little and patients are exposed. Black out too much and the data loses its value.\n\n\n\nNo single tool gets this right, because every dataset is different. A radiology report, a handwritten prior-authorization fax and a veterinarian's notes each fail in their own ways. So we've built a practice instead of a product. It combines off-the-shelf tools, custom rules, language models and human review, tunes the mix for each dataset, and proves the result with the kind of statistical validation an auditor would accept. It has cleared every recent independent review with zero failures.\n\n\n\nYou'll run it. You'll lead engagements from the first look at a new dataset to certified delivery, make the calls on what's safe to ship, and improve the method with every engagement.\n\n\nWHAT YOU'LL DO\n\n - Lead data privacy projects from first look to certified delivery: assess the data, write the policy, tune the pipeline, validate, and deliver.\n\n - Design and run the experiments that decide which layers a dataset needs, measuring recall, over-redaction and cost for each.\n\n - Run validation the way an auditor would: set the pass bar before you look, test on fresh held-out samples, report confidence bounds, and never fix the test set.\n\n - Turn every miss into a lasting fix (a rule, a model or prompt change, or a human-review step) and lock it in with a regression test.\n\n - Work directly with independent expert determiners: prepare evidence, answer methodology questions, and respond to findings.\n\n - Direct human reviewers on the hard cases and adjudicate their disagreements.\n\n - Evaluate new tools and models (open-source NER, vendor APIs, models that run inside a partner's own environment) against our benchmarks.\n\n - Write down what you learn so the next engagement starts ahead of the last one.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - 30 days: learn the method. You know the playbook and tooling, you've shadowed a live engagement, and you've delivered your first intake assessment of a new partner's data.\n\n - 60 days: share the load. You've co-led an engagement through validation, owned the experiment that set its pipeline, and added new rules with regression tests.\n\n - 90 days: own it. You've led an engagement end to end, including the evidence package for the expert reviewer, and you've evaluated a candidate model with a clear keep-or-drop recommendation.\n\n\nWHAT YOU BRING\n\nMust have\n\n - Minimum 2 years in data science, applied statistics, ML engineering, or quantitative research, working with real, messy data.\n\n - Solid statistics: sampling, confidence intervals, measurement design and inter-rater agreement. You can explain why a sample is big enough, and what it can't tell you.\n\n - Strong background, and experience using language models or AI coding tools to move fast.\n\n - Healthy skepticism. You verify claims before trusting them, including your own.\n\n - Clear writing for technical and non-technical readers, including external reviewers.\n\n - Authorization to work in the U.S. as a W2 employee (required for access to protected health information).\n\n\n\nNice to have\n\n - HIPAA de-identification experience (Safe Harbor or expert determination), or other privacy or healthcare data work\n\n - NER, OCR, clinical NLP or document processing\n\n - Working with auditors, regulators or external reviewers\n\n - Running annotation or labeling projects\n\n\nPROTEGE VALUES\n\nPass the Loved Ones' Test. We act with integrity and do the right thing — especially when it's hard and no one is watching.\n\nAlways Find a Way. We are resourceful, resilient builders who solve hard problems and push through obstacles.\n\nGo Fast and Grow Fast. Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.\n\nPractice Kindness and Candor. We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.\n\nDeliver Together. We win as one team. Collaboration, accountability, and shared ownership drive our success.\n\nOwn the Outcome. Hone the Craft. We take pride in our work, sweat the details, and continuously raise the bar for excellence."},{"id":"a3fc5740-c072-4fbd-967a-36f898463722","title":"Head of Operations, DataLab","department":"DataLab","team":"DataLab","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-10-29T18:57:15.592+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/protege/a3fc5740-c072-4fbd-967a-36f898463722","applyUrl":"https://jobs.ashbyhq.com/protege/a3fc5740-c072-4fbd-967a-36f898463722/application","descriptionHtml":"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.
As Head of Operations, DataLab at Protege, you will be a strategic partner and problem-solver, driving alignment, execution, and impact across the organization. You’ll work side-by-side with the CEO and leadership team to ensure our most important priorities move forward, from operational planning and strategic initiatives to executive communications and cross-functional coordination.
This is a role for someone who thrives on variety, enjoys switching between strategic thinking and hands-on execution, and can adapt quickly in a fast-moving environment. You’ll have broad exposure to the business, making this an ideal position for someone who wants to help shape Protege’s future.
Own day-to-day operations for the Data Lab, including planning, prioritization, and execution across data initiatives.
Design and implement scalable operational processes (intake, prioritization, resourcing, delivery, and reporting) to support data projects from concept through launch.
Partner with Data, Product, and Engineering leaders to identify operational bottlenecks and continuously improve workflows, tooling, and decision-making.
Establish operating rhythms, metrics, and dashboards to track progress, performance, and impact of Data Lab work.
Translate strategic objectives into clear roadmaps, timelines, and accountability across cross-functional stakeholders.
Prepare clear, concise updates and materials for executives, partners, and internal stakeholders on Data Lab priorities and outcomes.
Act as a hands-on problem solver and “operator in residence,” stepping into critical gaps as the Data Lab scales.
8+ years of experience in business operations, consulting, or a strategy/analyst role in a high-growth or fast-paced environment
You have the proven ability to manage multiple complex projects simultaneously
You have strong analytical skills with the ability to translate data into actionable insights
You are comfortable navigating ambiguity and proposing structured solutions
You have strong communication and stakeholder management skills; able to work effectively with both technical and commercial teams
You are highly adaptable, resourceful, and proactive in taking ownership of outcomes
You are curious, tenacious, and proactive.
You are biased towards action and continuously stay scrappy.
You treat those around you with kindness
Experience in AI or data-driven industries
Prior exposure to startup or scale-up environments
Comfort with SQL, analytics tools, or low-code automation platforms
Experience designing and implementing new business processes or systems
Background in project management or change management
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.
Practice Kindness and Candor
We communicate directly and respectfully, building trust through honest feedback and genuine care for one another.
Deliver Together
We win as one team. Collaboration, accountability, and shared ownership drive our success.
Own the Outcome. Hone the Craft.
We take pride in our work, sweat the details, and continuously raise the bar for excellence.
","descriptionPlain":"Company Overview:\n\nWe 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.\n\nSolving 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.\n\nWe’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.\n\n\n\n\nROLE OVERVIEW\n\nAs Head of Operations, DataLab at Protege, you will be a strategic partner and problem-solver, driving alignment, execution, and impact across the organization. You’ll work side-by-side with the CEO and leadership team to ensure our most important priorities move forward, from operational planning and strategic initiatives to executive communications and cross-functional coordination.\n\nThis is a role for someone who thrives on variety, enjoys switching between strategic thinking and hands-on execution, and can adapt quickly in a fast-moving environment. You’ll have broad exposure to the business, making this an ideal position for someone who wants to help shape Protege’s future.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Own day-to-day operations for the Data Lab, including planning, prioritization, and execution across data initiatives.\n\n - Design and implement scalable operational processes (intake, prioritization, resourcing, delivery, and reporting) to support data projects from concept through launch.\n\n - Partner with Data, Product, and Engineering leaders to identify operational bottlenecks and continuously improve workflows, tooling, and decision-making.\n\n - Establish operating rhythms, metrics, and dashboards to track progress, performance, and impact of Data Lab work.\n\n - Translate strategic objectives into clear roadmaps, timelines, and accountability across cross-functional stakeholders.\n\n - Prepare clear, concise updates and materials for executives, partners, and internal stakeholders on Data Lab priorities and outcomes.\n\n - Act as a hands-on problem solver and “operator in residence,” stepping into critical gaps as the Data Lab scales.\n\n\n\n\nABOUT YOU\n\n - 8+ years of experience in business operations, consulting, or a strategy/analyst role in a high-growth or fast-paced environment\n\n - You have the proven ability to manage multiple complex projects simultaneously\n\n - You have strong analytical skills with the ability to translate data into actionable insights\n\n - You are comfortable navigating ambiguity and proposing structured solutions\n\n - You have strong communication and stakeholder management skills; able to work effectively with both technical and commercial teams\n\n - You are highly adaptable, resourceful, and proactive in taking ownership of outcomes\n\n - You are curious, tenacious, and proactive.\n\n - You are biased towards action and continuously stay scrappy.\n\n - You treat those around you with kindness\n \n\n\nBONUS IF YOU HAVE THESE ATTRIBUTES\n\n - Experience in AI or data-driven industries\n\n - Prior exposure to startup or scale-up environments\n\n - Comfort with SQL, analytics tools, or low-code automation platforms\n\n - Experience designing and implementing new business processes or systems\n\n - Background in project management or change management\n\n\nPROTEGE VALUES\n\nPass the Loved Ones’ Test\n\nWe act with integrity and do the right thing — especially when it’s hard and no one is watching.\n\nAlways Find a Way\n\nWe are resourceful, resilient builders who solve hard problems and push through obstacles.\n\nGo Fast and Grow Fast\n\nVelocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.\n\nPractice Kindness and Candor\n\nWe communicate directly and respectfully, building trust through honest feedback and genuine care for one another.\n\nDeliver Together\n\nWe win as one team. Collaboration, accountability, and shared ownership drive our success.\n\nOwn the Outcome. Hone the Craft.\n\nWe take pride in our work, sweat the details, and continuously raise the bar for excellence."},{"id":"d36978da-ddab-4952-8062-d3fe6a72b96a","title":"Strategic Partnerships Manager, Wearables","department":"Healthcare Partnerships","team":"Healthcare Partnerships","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-11-05T02:26:47.631+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/protege/d36978da-ddab-4952-8062-d3fe6a72b96a","applyUrl":"https://jobs.ashbyhq.com/protege/d36978da-ddab-4952-8062-d3fe6a72b96a/application","descriptionHtml":"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.
Build partnerships that bring differentiated wearable and consumer health data into AI development. You will combine domain expertise with commercial judgment to qualify partners, move datasets through evaluation, and grow the value of the portfolio.
Qualify wearable device makers, consumer health apps, and other data owners across heart monitoring, fitness, sleep, nutrition, and metabolic health.
Assess what makes each dataset useful: sensor signals, sampling frequency, longitudinal coverage, device consistency, missing data, and available clinical or user-reported context.
Coordinate NDAs, representative samples, and DataLab review; translate findings into clear partner priorities and next steps.
Work with Commercial on pricing, licensing structures, and statements of work, and coordinate activation with Healthcare Operations and Solutions.
Maintain trusted partner relationships, surface underused data assets to internal teams, and develop partnerships that address customer demand and portfolio gaps.
Experience in partnerships, business development, or data licensing within wearables or consumer health, with a track record of advancing external relationships into execution.
Working knowledge of continuous sensor metrics, activity and workout logs, user-reported data, and more; able to ask credible questions about quality, coverage, AI relevance, and licensing rights. Knowledge of the wearable and lifestyle data landscape and the platforms that hold differentiated datasets.
Ability to identify consent, privacy, and licensing questions and coordinate their resolution with the appropriate internal reviewers.
Strong prioritization, ownership mentality, and communication across commercial, technical, and operational teams; comfortable building structure in an early-stage environment.
Experience with healthcare data partnerships, AI data use cases, or sample data assessments.
Pass the Loved Ones’ Test
We act with integrity and do the right thing — especially when it’s hard and no one is watching.
Always Find a Way
We are resourceful, resilient builders who solve hard problems and push through obstacles.
Go Fast and Grow Fast
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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.
Protege is hiring a Strategic Partnerships Manager, Healthcare Data to help customers and prospects access high-value, rights-protected healthcare data for AI training, post-training, evaluation, and workflow development.
You will sit at the intersection of customers, commercial teams, Data Lab, Solutions, Privacy and Legal, Operations, and healthcare data partners.
Your job will be to turn an unmet healthcare data need into a clear sourcing strategy, identify and qualify the right supply paths, and move the opportunity from first conversation through diligence, contracting, activation, and handoff.
This is a generalist role with two connected motions:
Reactive sourcing: Respond quickly to data requests tied to active customer and prospect opportunities, identifying the closest-aligned healthcare workflow or partner path and driving the work toward a viable commercial outcome.
Proactive sourcing: Build relationships with promising healthcare organizations, technology companies, data aggregators, brokers, and channel partners before a specific deal requires them, using customer demand, market intelligence, and Data Lab priorities to decide where to invest.
You will not be responsible for sourcing everything indiscriminately. You will use judgment to prioritize healthcare data partners that are likely to create customer value, can meet Protege’s quality, privacy, and rights standards, and fit our commercial model.
Translate customer and prospect needs into clear healthcare data sourcing briefs, including workflow, population, modality, data elements, granularity, volume, format, geography, time period, refresh cadence, use case, rights requirements, and success criteria.
Build a working map of healthcare data supply, some potential focus areas are health systems, provider groups, payers, TPAs, MSOs, RCM companies, healthcare technology vendors, digital health companies, call centers, laboratories, pharmacies, data aggregators, brokers, and other relevant supply paths.
Source and build trusted relationships with organizations that hold operationally rich healthcare data and can articulate its provenance, permissions, quality, and delivery model.
Run partner discovery and qualification conversations to understand the underlying workflow, how the data is generated, what entities and events it represents, how it is linked, what fields and labels are available, and what transformations have been applied.
Evaluate whether a dataset reflects real operational work rather than only static records, including queues, decisions, handoffs, exceptions, outcomes, timestamps, and longitudinal workflow context where appropriate.
Assess privacy, security, and rights considerations early, including PHI and PII exposure, de-identification methodology, re-identification risk, consent or notice considerations, downstream use restrictions, data-use agreements, business-associate requirements, and any restrictions on AI training or model evaluation.
Prioritize opportunities based on customer demand, strategic value, uniqueness, data quality, representativeness, feasibility, rights posture, delivery readiness, and the likelihood of a sustainable commercial relationship.
Own partner progression from first conversation through NDA, sample intake, privacy and legal diligence, Data Lab evaluation, feedback, deal structuring, contracting, activation, and handoff into the appropriate operating team.
Coordinate closely with Commercial, Data Lab, Solutions, Privacy, Security, Legal, Product, and Operations so that partner opportunities move quickly without creating avoidable delivery, rights, privacy, or pricing risk.
Support customer and prospect deals by finding viable healthcare data paths, setting realistic expectations about coverage and limitations, and keeping internal and external stakeholders aligned on next steps.
Help structure partnerships, including licensing, channel, co-development, exclusivity, data contribution, and other commercial arrangements, using Protege’s standard terms and pricing guardrails wherever possible.
Maintain a clear, current view of partner capabilities, workflow coverage, data elements, active sourcing requests, qualification status, samples, risks, approvals, next steps, and commercial readiness in the systems of record.
Develop repeatable healthcare-specific sourcing workflows, qualification criteria, partner-intake processes, privacy and rights checklists, sample-review standards, and handoff requirements that make the broader partnerships function more scalable.
Bring market intelligence back to leadership, Data Lab, Product, and Commercial: what healthcare AI customers are asking for, where operational data supply is emerging, how partner economics are changing, and which data gaps are worth solving.
Build trusted relationships with partners and make sure they receive clear communication, thoughtful process, and a credible path to value through Protege.
Build a clear view of Protege’s active customer and prospect requests involving healthcare administrative and operations data.
Learn Protege’s sourcing-to-activation workflow, healthcare data standards, privacy and rights review process, and operating model across GTM Partnerships, Commercial, Data Lab, Solutions, Operations, Privacy, Security, and Legal.
Develop a practical market map of priority healthcare workflow categories, likely data holders, aggregators, brokers, and channel partners.
Create a prioritized view of immediate reactive sourcing needs and proactive healthcare partner categories, with clear owners, qualification questions, and next steps.
Independently run initial partner discovery and qualification conversations with strong notes, sound judgment, and consistent follow-through.
Consistently convert customer and prospect requests into actionable healthcare sourcing plans and qualified partner opportunities.
Move priority partners through data-rights review, privacy diligence, sample coordination, Data Lab feedback, and commercial evaluation with tight cross-functional coordination.
Demonstrate the ability to distinguish between a dataset that merely contains healthcare records and one that captures useful operational context, workflow sequence, or decision-relevant signals.
Support active deals by identifying viable supply paths, surfacing rights, privacy, quality, and delivery risks early, and keeping partner and internal stakeholders aligned.
Document the first version of reusable healthcare data qualification, sample-review, privacy-intake, and handoff workflows.
Establish a reliable operating rhythm for reactive deal support and proactive healthcare partner development.
Build a prioritized partner pipeline that reflects customer demand, strategic workflow gaps, data quality, privacy and rights posture, delivery readiness, and commercial potential.
Progress initial partner opportunities into activation or clearly documented next decisions, including why to advance, pause, or disqualify them.
Deliver a 90-day view of what is working, what is not, where healthcare administrative and operations sourcing is creating the most commercial leverage, and which systems or decisions would help the function scale.
We care more about what you have accomplished and how you operate than about a specific career path or number of years in a role.
Experience in partnerships, business development, strategic sourcing, enterprise sales, marketplace development, procurement, healthcare operations, or a similarly commercial and relationship-oriented function.
A track record of taking ambiguous opportunities from an initial question to a concrete plan, aligned stakeholders, and measurable progress.
Strong commercial judgment: you can distinguish an interesting healthcare data partner from a partner worth investing in, and you are comfortable saying no when the fit is weak.
Experience navigating multi-stakeholder work across external partners and internal teams, including technical, commercial, privacy, legal, security, and operational stakeholders.
The ability to qualify healthcare data opportunities quickly by asking practical questions about the underlying workflow, data generation, quality, provenance, rights, privacy, scale, timeline, economics, and decision-makers.
Strong written and verbal communication. You can explain nuanced healthcare data, AI training, privacy, and commercial considerations clearly to a customer, partner, researcher, operator, executive, or legal stakeholder.
Operational rigor in pipeline and relationship management, including accurate records, clear ownership, crisp next steps, and consistent follow-through.
Comfort working in an environment where the playbook is incomplete and priorities change as new customer demand emerges.
A bias toward action and the persistence to keep complicated work moving without creating unnecessary friction.
The ability to build trust with external partners while protecting Protege’s standards around rights, privacy, security, quality, delivery, and commercial sustainability.
Experience with healthcare administrative, claims, payer, provider, revenue-cycle, prior-authorization, scheduling, call-center, pharmacy, laboratory, imaging, or care-management data.
Experience working with health systems, provider groups, payers, TPAs, MSOs, healthcare technology vendors, digital health companies, or other healthcare organizations with operational data.
Existing relationships with healthcare data holders, aggregators, brokers, technology vendors, or workflow operators.
Experience with data licensing, AI/ML infrastructure, model development, evaluation, human data, or a two-sided marketplace.
Experience evaluating samples or data products with technical, analytics, clinical, privacy, security, or operations teams.
Familiarity with HIPAA, PHI, PII, de-identification, tokenization, linkage, consent, data-use agreements, business-associate requirements, intellectual property, licensing restrictions, or exclusivity structures.
Experience assessing data representativeness, missingness, label quality, longitudinal continuity, entity resolution, workflow coverage, or sampling bias.
Experience building partner programs, sourcing channels, pricing frameworks, qualification systems, privacy checklists, or other operating infrastructure from scratch.
Experience working across multiple healthcare subsectors, workflows, or modalities rather than owning only one narrowly defined category.