Protege

Provide technical support and troubleshoot complex enterprise storage, networking, and multi-platform issues. | Experience in technical support, escalation management, and cross-functional collaboration in IT environments. | 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 You will own how Protege understands, represents, and surfaces its data supply—both on-platform and off-platform. You’ll build a unified system of truth for what data exists, what’s accessible but not ingested, what partners can provide, and how supply is discovered and deployed across deals. Your work replaces institutional knowledge and spreadsheets with durable product primitives and sets the foundation for eventual self-service. What You Will Own Build our Internal Data Catalog Define the data model across title, asset, and partner levels. Establish a clear state model (e.g., ingested, accessible, in pipeline, linked/enriched). Own search and discovery across modalities; set metadata standards with Data Lab + Engineering. Ensure catalog state is auditable and resilient to refreshes, moves, and deletions. Represent Off-Platform Supply Create structured visibility into partner supply not yet ingested (potential, cadence, modality coverage, volume estimates). Enable GTM to scope deals based on available + accessible supply—not only what’s already in-platform. Partner Systems & Enablement (make relationships scalable) Provide visibility into partner inclusion in deals, utilization trends, and inventory footprint. Reduce partner back-and-forth caused by unclear system truth. Partner with Partnerships to ensure relationships are supported by scalable system representations Cross-Functional Alignment Work closely with: Privacy, Rights & Trust: represent data eligibility and constraints Data Access & Delivery: to ensure discoverable supply is deliverable Solutions Architecture: to identify catalog gaps surfaced by deals Engineering: owns ingestion execution and infrastructure Who You Are PM experience in data platforms, marketplaces, catalogs/search, or supply-side systems Strong information architecture instincts and durable abstraction design Comfortable driving cross-functional alignment across Product, Engineering, Partnerships, and Data teams What Success Looks Like Teams can answer “what do we have / what can we deliver?” without spreadsheets or memory. Faster deal scoping and fewer partner inclusion disputes. A catalog that becomes the backbone for scalable onboarding and eventual self-service.

Define and manage data delivery products, enforce privacy and rights, and streamline delivery workflows for AI training data. | Experience in data platforms, secure access workflows, permissioned systems, and product management at an enterprise level. | 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 You will own how customers access, evaluate, and receive data—from samples and evaluation sets to full contractual deliveries. You’ll define the product surfaces and mechanisms through which data leaves the platform, ensuring delivery is secure, repeatable, rights-compliant, and increasingly scalable. As Protege shifts from bespoke delivery to a product-led platform, you’ll shape the path toward staged self-service access. What You Will Own Define delivery as a product capability Own delivery surfaces: full contractual deliveries, samples/evaluation datasets, secure file transfer or controlled access environments, and API/structured delivery pathways as appropriate. Establish what “delivery” means in-product (not just an operational handoff). Enforce privacy & rights at Point of Access Partner with the Privacy, Rights & Trust PM to embed eligibility checks and usage constraints into delivery workflows. Ensure access mechanisms enforce policy (without owning policy definition). Reduce delivery bespoke work Identify repeated friction surfaced by Solutions Architecture and standardize packaging, formatting, and transformation patterns. Shift delivery from manual, deal-by-deal construction to configuration-driven workflows. Design the path to self-service Define what can be self-serve, for which customers, under what guardrails, and with what controls/visibility. Start with constrained, high-confidence surfaces (e.g., samples) and expand intentionally. Represent delivery state in the platform Define delivery status models and ensure internal visibility into what was delivered, to whom, under what constraints. Enable auditability and reproducibility. Cross-Functional Alignment You’ll work closely with: PM, Data Inventory & Partner Systems: ensure what’s discoverable is deliverable PM, Privacy, Rights & Trust: enforce eligibility and compliance at access time GTM & Partnerships: improve sampling and evaluation velocity Engineering: owns ingestion execution and infrastructure Who You Are PM experience in data platforms, marketplaces, APIs, or enterprise delivery systems Experience building secure access workflows or permissioned systems Strong product + execution instincts; comfortable with operational reality Comfortable at the intersection of legal, engineering, and GTM Ability to stage maturity over time rather than overdesign upfront What Success Looks Like Faster sample-to-deal conversion cycles Reduced bespoke delivery engineering Clear, repeatable delivery paths across deals Fewer privacy/rights disputes at delivery time Early, constrained self-service capabilities launched successfully Strategic Impact This role directly influences revenue velocity, customer trust, platform scalability, and Protege’s long-term self-service posture—because data delivery is where platform value becomes real.

Lead evaluation and optimization of large-scale datasets for AI training, developing frameworks for data quality assessment, and collaborating with model training teams. | PhD or equivalent with 4+ years in machine learning, data analysis, or related fields, with experience working with large unstructured datasets, especially text. | Company Overview: We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech. We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview: Data is the foundation of AI performance, and we believe model quality starts with data quality. You’ll be at the heart of shaping how we curate, assess, and prepare the training data that powers real-world AI systems. We’re seeking a Senior Member of the Core Data Team/ Principal Scientist to lead the evaluation and optimization of large-scale datasets used to train state-of-the-art AI models. In this role, you’ll help define what "high-quality data" means in practice, using statistical, computational, and ML-driven methods to ensure our data is diverse, representative, and high-impact. You’ll work closely with research and engineering teams to improve model performance through better data. This is an ideal role for someone with a PhD in machine learning, CS, or a related applied field who is passionate about the role of data in AI training and excited to advance Protege’s mission to become the ubiquitous platform for AI training data. Key Responsibilities: Design and apply statistical and machine learning methods to curate, filter, and enrich large-scale unstructured datasets Develop frameworks to assess data diversity, duplication, and informativeness. Design statistical approaches to de-risk training datasets Collaborate with model training teams to identify data bottlenecks and optimize dataset performance. Emphasis on ability to collaborate with large foundational models and smaller startups Provide leadership on data quality strategy and shape internal best practices Evaluate external datasets for integration, focusing on scalability, quality, and relevance to model performance. Help build data scorecards Contribute to research and development of tools that automate data preprocessing and validation About You: PhD or equivalent Master's Degree + 4+ years industry experience in machine learning, economics, mathematics, engineering, computer science, statistics, or a related quantitative field Strong understanding of AI model training pipelines, including pre-processing and evaluation Experience working with large, unstructured datasets, especially text Background in statistical analysis, bias detection, and data validation Able to identify high-impact problems and drive independent solutions Bonus if you have these attributes: Experience with synthetic data generation or augmentation strategies Publications or open-source contributions in data-centric AI or related areas Experience developing evaluation frameworks or performance metrics for training data Cross-functional collaboration with product, infrastructure, or partnership teams

Oversee end-to-end deal fulfillment and operational systems for media and video verticals, ensuring quality and scale. | 7+ years in operations, customer success, or deal delivery roles, with proven team management and process design skills, preferably in media, AI, or tech. | Company Overview: We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech. We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview We’re looking for a Head of Product Success (Media) to own and scale our deal fulfillment and delivery operations across our media and video verticals. This director-level role is responsible for ensuring that what we sell is delivered—on time, at quality, and at scale—by leading a team of Operations Managers and building the systems that support reliable execution. This role sits at the intersection of Sales, Product, and Operations. You’ll be accountable for turning signed deals into successfully fulfilled outcomes, while designing processes that can support rapid growth, new verticals, and increasing complexity in a startup environment. This role is ideal for a seasoned operator who thrives in a startup environment—someone who can zoom out to define strategy and structure, and zoom in to coach managers, unblock execution, and build scalable systems from the ground up. What You’ll Do Product & Deal Fulfillment Own end-to-end fulfillment for Media deals, from pre sales sampling through to final delivery Oversee execution across video, audio, and motion capture pipelines, ensuring consistency and quality Partner closely with Sales, Partnerships, Engineering, and Product to translate deal terms into executable plans Manage scope, timelines, resourcing, and risk across multiple concurrent deals Operations & Process Design, implement, and continuously improve operational workflows for the Media vertical Build scalable systems for scoping work, scheduling, production tracking, and delivery Establish clear success metrics, reporting, and accountability across projects Identify bottlenecks and proactively solve for scale, efficiency, and quality Team Leadership Manage and grow a media product success team for each vertical Set clear goals, roles, and expectations for team members Coach and develop high-performing operators and project leads Foster a culture of ownership, clarity, and execution excellence Cross-Functional Collaboration Serve as the primary point of coordination between Media, Product, Engineering, Sales, Product and external partners Provide feedback loops to Product and Engineering based on delivery learnings and partner needs to shape future product offerings Support strategic planning for new Media offerings and capabilities What We’re Looking For 7+ years of experience in operations, customer success, deal operations, sales fulfillment, chief of staff, or client delivery roles—ideally in media, AI, or tech Proven experience managing teams and complex, multi-stakeholder projects Strong operational instincts—you can design systems, not just run them Excellent communication and stakeholder management skills Comfort operating in fast-moving, ambiguous environments Nice to Have Experience working with AI-driven media or emerging creative technologies Background in a startup or high-growth environment Experience owning post-sale delivery for enterprise or strategic partners Why This Role Matters This role is critical to Protege AI’s Media success. You’ll define how we deliver and retain clients, not just what we sell, shaping partner trust, revenue durability, and the foundation for scaling our Media vertical.

Owns and executes Protege's conference and events strategy, coordinating logistics, demand generation, and cross-team collaboration to drive revenue and brand visibility. | Requires experience in planning high-quality B2B events, marketing operations, CRM systems, and startup environment adaptability. | 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 The Growth Marketing Manager owns Protege's events strategy and growth marketing foundation, ensuring our team shows up at the right conferences, with the right people, at the right time. This role transforms our event opportunities into a disciplined, revenue-driving playbook that connects buyers and partners with Protege across our different verticals and AI communities. The role requires a blend of operational excellence in event execution, marketing operations fundamentals, and startup growth mindset to test & build scalable systems from scratch. You'll be the connective tissue between commercial teams, partnerships, the Protege Data Lab, and Marketing—ensuring every touchpoint drives meaningful pipeline and brand visibility. What You'll Do Own end-to-end execution of Protege's conference and events strategy across multiple verticals and customer/partner/relationship profiles Build and maintain our events playbook: prioritize conferences and events, coordinate logistics, manage budgets, and ensure calendars are stuffed with prospect meetings Partner with commercial and partnerships teams to execute pre-event demand generation and maximize on-site meeting pipeline Coordinate event presence, speaking opportunities, side events, and dinners that position Protege in the market Assist with marketing operations infrastructure: CRM integration, lead attribution, automated workflows, and reporting that connects events to revenue Support growth marketing initiatives including social media content, sales enablement materials, and vertical-specific collateral About You You are a natural operations executor who thrives on coordinating complex, multi-stakeholder projects You love in-person events and the energy of conferences—meeting people energizes rather than drains you You are comfortable building systems from scratch with a bias toward testing, learning, and iterating rapidly You demonstrate scrappiness and resourcefulness in ambiguous startup environments You are a team player who can juggle competing priorities across sales, partnerships, and product teams You treat those around you with kindness Required Prior experience planning and executing high-quality B2B conferences, events, or corporate dinners from start to finish Hands-on operator comfortable with logistics, vendor management, and being on-site at events Marketing operations fundamentals: experience with CRM systems (ie. HubSpot, Salesforce), basic attribution, and process automation Basic content creation skills (writing, design sensibility, video editing) to support campaigns AI tool fluency to create leverage for yourself and accelerate execution timelines Startup experience or an entrepreneurial equivalent Willingness to travel 2-3x per month to conferences and events Bonus: Based in the SF Bay Area Experience in technical B2B marketing (ie. AI, data infrastructure, healthcare tech) or direct B2B sales Strong analytical skills (Excel, SQL, or analytics tools) for data-driven decision making Social media management experience with understanding of what resonates with technical audiences Product marketing or sales enablement experience creating vertical-specific collateral Track record understanding how marketing activities connect to revenue outcomes