Engineering Manager, Artifacts at OpenAI
Overview
Lead an engineering team building AI-native artifact creation experiences across documents, sheets, slides, and dashboards at scale. Own technical direction across full-stack product systems, generation orchestration, editing, rendering, storage, reliability, and model integration. Collaborate with research, product, design, infrastructure, and safety to define exceptional artifact creation and drive product improvements. The role blends people leadership with hands-on architecture and debugging of hard problems in a fast-moving environment.
What You'll Do10
- 1Lead and grow a team delivering AI-native artifact creation experiences across documents, sheets, slides, and new formats
- 2Set technical direction for full-stack product systems, orchestration, editing rendering surfaces, storage, reliability, and model integration
- 3Own hands-on architecture, code review, debugging, system design, and critical product decisions
- 4Partner with research to translate model capabilities and evals into shipped product improvements
- 5Define engineering plan including hiring, milestones, investments, and operating cadence
- 6Balance near-term velocity with long-term platform quality and developer productivity
- 7Debug complex failures across model behavior, product surfaces, infrastructure, latency, and user-facing quality
- 8Expand team scope from familiar artifact types to new AI-native work products
- 9Collaborate with product design infra and safety to define excellent artifact creation
- 10Stay technically hands-on while growing leadership so the team ships with high quality
Requirements5
- 1Experience leading engineering teams while remaining technically close to the work
- 2Strong full-stack product engineering fundamentals across frontend backend and infrastructure
- 3Experience partnering with research ML product design infrastructure or data teams
- 4Ability to operate in ambiguous fast-moving environments with evolving product model capability and architecture
- 5Care about craft latency reliability and user experience and making systems reusable platforms
Salary Insight
$347 - $405k per year
Location
Required Skills
Similar open positions
Explore active roles that match your skills and interests.
4MindsAI Inc.
VerifiedEngineering Manager, AI Platform & Multi-Cloud Delivery
Lead a software engineering team building a technically ambitious enterprise AI platform across multi-cloud and on-prem environments. Own people, processes, and delivery systems while contributing hands-on technical work ~50% of the time. Drive sprint discipline, incident response, and cross-functional communication to align engineering with business goals. Collaborate with CTO and product leadership to balance feature delivery with long-term maintainability and architectural excellence.
MGM Resorts International Operations, Inc.
VerifiedAI-Enabled Engineering Manager | MGM Resorts
You will lead a team of 3-5 engineers building scalable, secure solutions with AI-augmented practices. Partner with Product and Design to drive roadmap planning and delivery. Foster a culture of technical excellence and continuous improvement. This role stands out by blending engineering leadership with AI fluency, shaping how the team leverages AI in daily workflows.
Openai
VerifiedManager, Partner Applied AI Engineering, AWS
Lead a high-impact team of Applied AI Engineers enabling strategic AWS partners to build and scale generative AI solutions on OpenAI's platform. Own the technical success strategy for the AWS partner ecosystem, driving production deployments and API adoption growth. Partner with internal Product, Research, and Engineering teams to shape the platform roadmap. This role blends technical depth, customer leadership, and operational rigor, offering the chance to shape applied AI adoption at scale.
Flowengineering
VerifiedSenior Engineering Manager, AI Native Platform
typescript/node.js and python stack powering backend and AI services for an AI-native requirements platform. You will own delivery end to end, from scoping with customers through ship, measure, and iterate, while staying hands-on with coding. You will manage and grow a team of engineers, establish engineering best practices, and partner with product, design, and our forward deployed engineers to deliver enterprise-grade features.
Openai
VerifiedSupply Chain Manager for Industrial Compute at OpenAI
Own end-to-end supply chain for AI infrastructure hardware at scale across sourcing, manufacturing quality, and deployment readiness. Lead a multidisciplinary team partnering with hardware engineering, finance, and deployment to ensure fast, reliable, and cost-conscious delivery. Build scalable operating mechanisms and executive reviews to drive supplier performance and production ramp across regions. This role combines strategic vision with hands-on execution to support rapid infrastructure expansion.
Nityo Infotech Corporation
VerifiedAI Engineer Lead, Agentic AI Systems
Own the design, build, and deployment of agentic AI systems for enterprise production use. You will architect multi-agent workflows and integrate LLMs into existing systems, ensuring reliability and security at scale. Work hands-on with Python, LangChain, and Kubernetes to ship agents that solve real business problems. This role stands out because you lead technical execution while collaborating with cross-functional teams, directly impacting how enterprises automate complex decisions.