Protege

Safeguard AI/ML platforms, data pipelines, and cloud infrastructure by implementing monitoring strategies and controls. | 4+ years in DevOps or related roles with strong cloud platform experience (AWS preferred), scripting skills, infra-as-code, monitoring, and collaboration with cross-functional teams. | 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. Key Responsibilities and Scope: As a DevOps Engineer, you will be a critical part of our engineering team, responsible for safeguarding our AI/ML platforms, data pipelines, and cloud infrastructure You will implement and develop monitoring strategies, and drive controls to protect our most valuable assets Qualifications: 4+ years of hands-on experience in a DevOps, Architecture, SecOps or Engineering role Strong experience with major cloud platforms and building cloud-native services including containerization, threat detection, vulnerability, governance, compliance, etc. with AWS preferred Proficient in scripting languages like Python, SQL, Typescript or similar Strong experience with infra‑as‑code, monitoring, and reliability for pipelines; contributing to platform guardrails, governance, compliance, etc Experience working with cross-functional partners to develop tools and playbooks for best-practices related to Operations About You: You are curious, tenacious, and proactive You are not bothered by ambiguity but embrace finding patterns in complex environments Excellent problem-solving skills and adaptability in a dynamic and evolving tech landscape Excited to work in a company that deals with moving and transforming large volumes of data Bonus if you have these attributes: Experience with cloud providers like GCP and Azure Prior startup experience Security operations and automation experience

Manage end-to-end data preparation, QA, and delivery of datasets while collaborating across teams and supporting product development with SQL and reporting. | Early-career professional with 3-5 years experience, basic SQL proficiency, strong communication, organizational skills, and interest in media, AI, or content strategy. | 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 Role Protege is looking for a Technical Account Manager in our Media Vertical to help us deliver high-quality data experiences to our customers. This is a unique hybrid role for someone who loves both customer facing roles with leading AI companies and data — and is excited to work at the intersection of content, technology, and AI. You will guide prospects and customers through the definition and delivery of datasets. You’ll ensure the data product delivers the value the customer needs, the supporting data pipelines run smoothly, and timelines and milestones are clearly communicated from the first stages of feasibility to the final data delivery. Whether a partner wants arctic wildlife clips or foreign-language film samples, you’ll dig into our catalog, find the best matches, and assemble compelling data packages. You’ll also work behind the scenes to understand and improve our dataset — using SQL and dashboards to spot gaps, surface insights, and support product development. This is an early career role, ideal for a candidate with strong organizational skills and curiosity about the data powering AI systems. You'll work closely with our content, product, and operations teams and have a front-row seat to how cutting-edge AI models are built. What You’ll Do Manage end-to-end data preparation through QA and delivery, ensuring cross-functional coordination and on-time execution Perform QA, packaging, and delivery of complex datasets ensuring complete and on time delivery in collaboration with key media producers and operational partners Curate high-quality content samples and datasets for customers across industries and use cases. Search, filter, and tag content across our catalog of audiovisual and media assets leveraging tools and technologies, and identifying use cases to continue to scale operations Translate vague requests (e.g. “cinematic scenes in nature”) into specific and well-documented data outputs. Write lightweight SQL queries to explore our metadata and source specific content. Support dashboard creation and reporting on content coverage, usage trends, and data health. Identify holes or underrepresented areas in our content catalog and flag gaps to the team. Perform quality assurance on data deliveries and contribute to increasingly automated and scalable QA processes Collaborate with product, partnerships, and licensing teams to meet evolving data needs. Who You Are Early-career professional (3-5 years experience) with a background in media, data, information science, or a related field. Strong organizational and research skills; comfortable navigating large, unstructured datasets. Strong communicator - you can effectively present your ideas internally and maintain external facing communications Curious and detail-oriented — you love digging to find just the right clip, and you notice what’s missing, and you can clearly and effectively communicate product - oriented solutions Basic SQL proficiency (SELECT statements, joins, filters). Strong communicator with the ability to explain what you've found and why it matters. Interest in media, entertainment, AI, or content strategy. A self-starter who takes ownership and enjoys wearing multiple hats. Why This Role? This is a rare entry point into the data that powers AI — with a front-row seat to the future of media and machine learning. You’ll learn how world-class AI companies use training data, build hands-on experience with curation and analytics, and contribute directly to some of the most exciting innovation happening today. If you’re excited about content, tech, and impact, we’d love to meet you.

You will serve as the technical bridge between customers, vendors, and internal teams, leading integration projects and ensuring successful onboarding. You will create technical documentation and advocate for customer needs within the organization. | You should have experience in pre-sales or solutions engineering and strong communication skills to explain complex concepts. Familiarity with Python, SQL, and AWS is essential, along with problem-solving abilities in a dynamic tech landscape. | 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. The company that succeeds will be one of the largest in AI — and in tech. Role Overview: As our first Solutions Engineer, you will serve as the technical bridge between our customers, third-party vendors, and internal engineering teams. You will lead integration projects with external partners, ensuring smooth onboarding, implementation, and success of our platform within healthcare organizations and AI workflows. You’ll be at the heart of shaping how we implement solutions with our customers to power real-world AI systems. Key Responsibilities: Work directly with partners and customers to own the end to end pipeline that runs from pre-sale to deal delivery. Build strong relationships with customers, acting as a trusted technical advisor. Help serve as the bridge between customers and internal teams (engineering, product, and sales). Create technical documentation, playbooks, and best practice guides for customers and internal teams. Advocate for customer needs within the organization, driving continuous product and process improvements. Be a creative problem solver and know when to deliver a quick, tailored solution and when to collaborate with the team to design and implement scalable, maintainable, and robust solutions. About You: You are curious, tenacious, and proactive. You are not bothered by ambiguity but embrace finding patterns in complex environments. Experience in pre-sales, solutions engineering, or consulting, working closely with customers to deliver tailored solutions. Strong communication skills, with the ability to explain complex technical concepts to diverse audiences. Strong skills in Python and SQL. Familiar with AWS. Excellent problem-solving skills and adaptability in a dynamic and evolving tech landscape. Excited to work in a company that deals with moving and transforming large volumes of data. Bonus if you have these attributes: Experience with Snowflake Experience with other cloud providers like GCP and Azure Experience with Spark Prior startup experience

Design, build, and ship end-to-end features across the stack while balancing speed with technical excellence. Take ownership of projects from idea to production, including testing, deployment, and iteration based on user feedback. | You have 6+ years of software engineering experience and are comfortable with ambiguity in a fast-paced environment. Strong experience in Python, Typescript, AWS, SQL, and data orchestrators is required. | 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. The company that succeeds will be one of the largest in AI — and in tech. Role Overview As a Senior Software Engineer, you’ll play a pivotal role in shaping our product and infrastructure. Your work will span from building customer-facing features to optimizing backend systems to working with our data warehouses. You’ll be expected to own projects and features and be able to engineer them from the ground up. Key Responsibilities Design, build, and ship end-to-end features across our stack, balancing speed with technical excellence. Identify and solve complex problems with creative, pragmatic solutions, knowing when to build quick fixes versus long-term, scalable systems. Take ownership of projects from idea to production, including testing, deployment, and iteration based on user feedback. Be a part of shaping our engineering culture and processes, introducing and iterating best practices for code quality, collaboration, and scalability. About You You have 6+ years of software engineering experience. You are biased towards action. You are comfortable with ambiguity and with a fast-paced environment that can require rapid prototyping, experimenting, and iterating. Strong communication skills, with the ability to explain complex technical concepts to diverse audiences. Strong experience in at least some of Python, Typescript, AWS, SQL, data orchestrators. Excited to work in a company that deals with moving, processing, and transforming large volumes of data. Bonus if you have these attributes Experience with Snowflake Experience with other cloud providers like GCP and Azure Experience with Spark Prior startup experience