TLM, Embedded Experiences
WFA Digital Insight
The demand for AI specialists has surged in recent years, with a notable 25% increase in job postings for AI-related roles in 2025. As companies like Openai continue to push the boundaries of AI capabilities, the need for skilled professionals who can lead the development of AI-native embedded experiences has never been more pressing. With its commitment to safely deploying AI systems, Openai stands out as a pioneer in the industry. Candidates should be prepared to showcase their expertise in AI, leadership skills, and ability to work in fast-paced environments. Before applying, it's essential to understand the current state of AI adoption and the role's potential impact on the industry.
Job Description
About the Role
The Technical Lead Manager, Embedded Experiences, will play a pivotal role in leading a team of engineers at Openai, a company at the forefront of AI research and deployment. This position involves driving the technical direction, architecture, and execution of critical initiatives related to AI-native embedded experiences. As a technical leader, you will be responsible for managing and mentoring a team of engineers while maintaining hands-on technical involvement. The ideal candidate will have experience in leading engineering projects, a strong background in systems design and software engineering, and a passion for applying AI to solve real-world operational problems.The role is part of the Cooperative AI team, which focuses on scaling AI to devices and embedded operations. By leveraging Openai's state-of-the-art models and technologies, the team develops systems that reason and work autonomously with customers and the workforce. This team's mission is to learn fast and transform how humans collaborate with AI at scale. As a Technical Lead Manager, you will work closely with internal stakeholders to understand operational challenges, identify opportunities for automation, and deliver solutions that create measurable impact.
The day-to-day responsibilities of this role will involve technical leadership, team management, and collaboration with stakeholders across various functions. You will drive business outcomes, contribute directly to implementation, and help grow a high-performing team. Your ability to balance rapid experimentation with long-term platform investments will be crucial in this position.
What You Will Do
- Lead the technical direction, architecture, and execution of critical Cooperative Systems initiatives
- Manage and mentor a team of engineers while maintaining meaningful hands-on technical involvement
- Partner closely with stakeholders across Support, Operations, Finance, IT, Sales, Legal, and other functions to identify opportunities for AI-driven improvements
- Design and build production systems that leverage large language models and other AI technologies
- Drive engineering excellence through strong technical decision-making, code quality, operational rigor, and thoughtful system design
- Balance rapid experimentation with long-term platform investments
- Establish technical roadmaps and execution plans for projects spanning multiple teams
- Coach engineers through technical challenges, career growth, and project execution
- Help shape the culture, processes, and engineering practices of a growing organization
- Collaborate with the product team to develop and implement product roadmaps
- Work with cross-functional teams to identify and prioritize project requirements
What We Are Looking For
- Experience leading engineering projects involving consumer devices and/or embedded systems
- Strong systems design and software engineering fundamentals
- Experience with AI technologies, including large language models
- Ability to communicate effectively with both technical and non-technical audiences
- Track record of delivering complex, cross-functional initiatives from concept through production
- Experience with agile development methodologies
- Strong technical leadership and team management skills
- Experience with cloud-based technologies and infrastructure
- Familiarity with Excel and other productivity tools
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Nice to Have
- Experience working in a hyper-fast feedback loop environment
- Knowledge of industry trends and emerging technologies in AI and embedded systems
- Experience with DevOps practices and tools
- Certification in AI, machine learning, or a related field
- Experience working in a remote or distributed team environment
Benefits and Perks
- Competitive compensation package
- Equity in a leading AI company
- Comprehensive health insurance
- Flexible PTO policy
- Remote work stipend
- Professional development opportunities
- Access to cutting-edge AI technologies and tools
- Collaborative and dynamic work environment
- Opportunities for career growth and advancement
How to Stand Out
- When applying, make sure to highlight your experience with AI technologies, including large language models, and your ability to lead engineering projects.
- Showcase your strong systems design and software engineering fundamentals, and be prepared to discuss your approach to driving engineering excellence.
- Demonstrate your ability to communicate effectively with both technical and non-technical audiences, and highlight your experience working in cross-functional teams.
- Be prepared to discuss your experience with agile development methodologies, cloud-based technologies, and infrastructure, as well as your familiarity with Excel and other productivity tools.
- Research Openai's mission and values, and be prepared to discuss how your skills and experience align with the company's goals and objectives.
- Practice your technical skills, such as coding and system design, to be prepared for technical interviews.
- Be prepared to discuss your experience working in a fast-paced environment, and how you handle rapid experimentation and long-term platform investments.
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