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cover of episode AI Recruiting at NVIDIA, Pika, and Eleven Labs: How to Build Exceptional Teams

AI Recruiting at NVIDIA, Pika, and Eleven Labs: How to Build Exceptional Teams

2025/5/1
logo of podcast Generative Now | AI Builders on Creating the Future

Generative Now | AI Builders on Creating the Future

AI Deep Dive Transcript
People
A
Amy Anton
B
Bill Dally
D
Dan Shipper
M
Michael McDonough
Topics
Michael McDonough: 我认为在招聘AI团队时,应该一开始就设定高标准并坚持下去,然后让团队成员发挥作用,不要过多干预。 在2025年,AI人才的稀缺、高成本和不可预测性给AI团队的组建带来了巨大的挑战。 构建AI公司需要考虑基础设施、产品、研究等多个方面,但核心在于团队,特别是那些思维方式不同的人。 随着软件创建越来越容易,对品味和判断力的需求将越来越大,因此AI团队需要更多创意人才来指导模型。 公司规模扩大时,文化和流程可能会瓦解,因此需要从一开始就明确优秀团队的标准。 招聘时要权衡速度和完美之间的关系,明确关键岗位的需求和不可谈判的条件。 避免为了招聘优秀人才而随意创造岗位,应该根据实际需求设置岗位,并寻找匹配的人才。 优秀的AI团队不仅技术过硬,而且团队建设有计划、不断发展,招聘时要考虑人才的多样性、保持高标准,并像打造产品一样打造团队。 Demi Guo & Mati Staniszewski: 我认为构建强大的AI团队需要兼顾技术和艺术,既要有来自顶级AI实验室和学术机构的技术人才,也要有来自创意背景(如电影制作人、艺术家)的人才,他们能为模型开发提供创意视角。 我们团队成员来自顶尖的AI实验室(如谷歌DeepMind、Facebook AI)和顶尖的学术院校(如斯坦福大学、麻省理工学院)。 同时,我们有很多团队成员来自创意背景,例如电影制作人和艺术家,他们在录音方面的工作为模型开发过程提供了创意视角。 Dan Shipper: 我认为Every公司提倡员工拥有多方面技能,并鼓励员工在工作中进行实验和探索。 我们公司鼓励员工尝试使用新工具,并为员工提供“思考周”来进行创造性工作。 在AI经济时代,每个人都需要找到新的工作方式,因此公司需要为员工提供实验和探索的空间。 我们定期组织“思考周”,让员工有时间进行实验和探索,从而激发创造力。 Bill Dally: 在NVIDIA,招聘团队注重保持高标准,并创造一个积极的工作环境来吸引和留住人才。 公司规模的扩大是通过吸引优秀人才来实现的,优秀人才会吸引更多优秀人才。 我们一开始就设定了很高的标准,并且一直坚持下去。 我们努力创造一个积极的工作环境,让员工喜欢在这里工作。 Amy Anton: 构建强大的AI团队需要寻找那些不仅具备AI技能和经验,而且具有高度自主性、产品思维和远见卓识的人才。 招聘AI人才时,要明确自身需求,不必一味追求顶尖人才,更适合公司发展阶段的人才同样有效。 要重视领导团队的组建,并赋予他们权力,让他们负责招聘和团队建设。 随着公司发展,要定期评估现有团队成员是否仍然适合公司发展方向,并进行调整。

Deep Dive

Shownotes Transcript

Exceptional AI products begin with exceptional teams, but in 2025, AI staffing has never been harder. 

In this episode of Generative Now, Lightspeed partner Michael Mignano dives into the realities of AI recruiting and team building, sharing insights from some of today’s top AI leaders. You’ll hear from:

- Demi Guo, CEO and Co-Founder of Pika

- Mati Staniszewski, CEO and Co-Founder of Eleven Labs

- Bill Dally, Chief Scientist of NVIDIA

- Dan Shipper, CEO and co-founder of Every

- Amy Anton, Vice President of Talent, AI at Lightspeed

Together, they explore what defines a strong AI team, the evolving role of creative talent, how to scale without losing culture, and why generalists may thrive in an AI-powered workforce. The episode also touches on the shift from the knowledge economy to the allocation economy, and what that means for hiring in the AI era.

Whether you're an AI founder, operator, or just thinking about your next hire, this episode unpacks what’s working (and what’s not) in AI HR, staffing, and team design.

**Chapters: **

(00:00) What’s Challenging about Hiring AI Teams?

(01:25) Demi Guo and Mati Staniszewski: Creative Talent in AI

(03:36) Dan Shipper: Finding Space to Experiment 

(08:05) Scaling AI Teams: Insights from NVIDIA

(10:52) Building Strong AI Teams: Advice from Lightspeed

(16:48) Conclusion and Final Thoughts

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