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Tlm – People Innovations

Tlm – People Innovations

CompanyOpenAI
LocationSan Francisco, CA, USA
Salary$200000 – $405000
TypeFull-Time
Degrees
Experience LevelSenior, Expert or higher

Requirements

  • Have engineering management or technical leadership experience, with a track record of delivering impactful products.
  • Bring full-stack engineering expertise and a passion for building scalable SaaS solutions.
  • Have domain knowledge in people products (think recruiting, HR tech, learning & development) or SaaS products in adjacent verticals like support, sales or automation.
  • Are skilled at hiring, developing, and retaining high-performing engineering teams.
  • Are a natural cross-functional collaborator, skilled at balancing diverse stakeholder needs and translating them into impactful technical solutions.
  • Have product instincts and experience building products from 0→1, with a focus on collaborating with users to find product-market fit and scaling effectively.
  • Bring an entrepreneurial mindset, with a bias toward experimentation and iteration in fast-moving environments.

Responsibilities

  • Lead, mentor, and grow a team of engineers, fostering a culture of high impact, collaboration, and continuous learning.
  • Drive technical vision, set priorities, and ensure the successful delivery of high-quality people products from ideation to execution.
  • Work cross-functionally with HR, Recruiting, Design, Product, and Research teams to deeply understand business needs and design scalable, AI-powered solutions.
  • Innovate by applying OpenAI’s models and technologies to solve high-leverage challenges in recruiting, culture, and productivity.
  • Build robust systems and tools that increase hiring velocity, improve operational efficiency, and elevate the overall employee experience.
  • Own and refine the full product lifecycle, balancing immediate delivery with long-term investments and technical excellence.

Preferred Qualifications

  • Bonus: Have experience in AI/ML, or at least a deep curiosity to learn how these technologies can revolutionize the future of work.