> Markdown version of [/jobs/ext/3027957-technical-program-manager-data-engine](https://www.wearedevelopers.com/jobs/ext/3027957-technical-program-manager-data-engine). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, Data Engine - **Company:** Sunday Inc - **Location:** Redwood City, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Build Tools - **Published:** September 22, 2026 - **Apply:** https://startup.jobs/technical-program-manager-data-engine-sunday-ai-8026206 ## About the Role * Clear written and verbal communication to guide our data operators * Your ability to manage unexpected challenges * Your ownership of key stakeholders with data operators, engineering, and support * Excitement for the growth and development of AI data * Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner * A level of hardcore-ness while still treating people like people * Intermediate level understanding of ML Nice to Have * Previous experience being a strategic projects lead or data program manager for other AI labs/data vendors * Technical skills to build tools for data annotation or collection * Ability to leverage AI to help improve productivity ## Description This role is about designing and rolling out tasks to our operators so that they're delivering data that is is high in quality, quantity, and variety. You'll work in coordination with Machine Learning, Software engineering, and Data to define the framework and tools on which to build ontology around. Your role is vital to ensuring our data operators are aligned with the guidances for annotations/collections and that the machine learning team are receiving what they need to run successful experiments. What You'll Do * Own task creation for data ontology * Manage the project side of data annotations or collection * Create documentation * Be in the weeds and annotate data yourself anytime something new is being designed * Create data annotation or collection processes ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data: The Deciding Factor in AI Success](https://www.wearedevelopers.com/videos/100310-data-the-deciding-factor-in-ai-success) - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [Building a framework-independent component library](https://www.wearedevelopers.com/videos/1679-building-a-framework-independent-component-library) - [AI is dead, long live AK](https://www.wearedevelopers.com/videos/1093-ai-is-dead-long-live-ak) - [Big Business, Big Barriers? Stress-Testing AI Initiatives.](https://www.wearedevelopers.com/videos/1022-big-business-big-barriers-stress-testing-ai-initiatives) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)