cover of episode From CS to CEO: Varun Sharma on Risk, Resilience, and Real-Time Feedback

From CS to CEO: Varun Sharma on Risk, Resilience, and Real-Time Feedback

2024/10/28
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Varun Sharma: 我从印度来到纽约读研究生,曾在LinkedIn从事客户成功工作,之后加入Amplitude,担任客户成功团队成员。在Amplitude的四年时间里,我帮助公司发展壮大,并学习了很多关于产品分析的知识。在此期间,我发现了一个很大的差距:产品团队知道数据'是什么',但不知道数据'为什么'。这促使我与我的兄弟共同创立了Interpret,帮助快速发展的公司学习和运用客户反馈。我们帮助像Canva、Notion、Vimeo和Strava这样的公司将反馈转化为可行的见解,从而推动增长并打造用户喜爱的产品。 我的职业生涯始于客户成功,我对反馈的价值充满热情。我认为反馈是一份礼物,无论是团队间的反馈,还是客户对公司的反馈。在Amplitude,我看到了一个普遍存在的问题:每个人都知道产品内部发生了什么,但没有人知道'为什么'。数据分散在各个地方,难以整合和分析。这促使我们创立Interpret,利用人工智能技术分析客户互动数据,帮助企业更好地理解客户需求,从而做出更明智的决策。 在公司发展的早期阶段,我们面临着许多挑战。技术还不成熟,我们不得不自己构建模型。但我们坚持不懈,最终获得了一些优秀的客户。在过去的一年中,随着大型语言模型的进步,我们取得了显著的进展。我们能够将我们自己构建的模型替换为经过微调的大型语言模型,这极大地提高了我们的效率。 在招聘方面,我始终认为应该优先投资客户成功团队。在公司发展的早期阶段,客户成功团队对于帮助公司获得有价值的反馈,并确保客户获得良好的体验至关重要。如果我再次创业,我的第一个招聘仍然会是客户成功经理。 最后,我想给年轻的自己一些建议:要更大胆地冒险决策。在人生的前半段,我的思维方式过于结构化,缺乏冒险精神。现在,我意识到应该更加大胆地尝试,勇于承担风险。 Poya: 与Varun Sharma的对话中,我了解到他在印度的成长经历,以及他在Amplitude的早期工作经历。我们讨论了Amplitude的成功秘诀,以及Varun如何从客户成功转型为管理者。他还分享了他在Interpret的创业历程,以及他如何与兄弟合作,利用人工智能技术分析客户反馈数据。此外,我们还探讨了在公司早期阶段优先发展客户成功团队的重要性,以及Varun选择在纽约而不是旧金山扩张团队的原因。

Deep Dive

Key Insights

Why did Varun Sharma decide to start Enterpret with his brother?

Varun saw a gap in product teams understanding the 'why' behind their data, as insights were buried in unstructured feedback. His brother, an NLP researcher, convinced him of the technology's potential, and Varun saw the application in customer feedback analytics.

What was the key insight Varun Sharma gained from his time at Amplitude?

The success of Amplitude came from being customer-centric, maintaining a strong culture, and continuously improving based on customer feedback, which compounded over time.

How did Varun Sharma describe the competitive spirit in India?

He attributed it to a generation striving for success, standing out in a competitive environment, and an aspirational society with a large middle class and access to technology.

Why did Varun Sharma prioritize customer success (CS) as the first go-to-market hire at Enterpret?

He believed that over-investing in customer success early on ensures customers have an incredible experience and provides valuable feedback to improve the product, which is crucial for a maturing product.

What convinced Varun Sharma that Enterpret was a great idea?

He felt confident about the idea in the last year, as advancements in large language models replaced their homegrown AI models, making their vision more achievable and timely.

Why did Varun Sharma choose New York over San Francisco for expanding Enterpret's team?

New York was chosen because it is three hours closer to India in terms of time zone, allowing better collaboration with the engineering team. Additionally, Varun was energized by the vibrant atmosphere of New York.

What advice would Varun Sharma give his younger self?

He would advise his younger self to be more adventurous in decision-making, take bold bets, and believe in his own capabilities.

Chapters
This chapter introduces Varun Sharma, CEO of Enterpret, tracing his path from India to New York for graduate school, his experience at LinkedIn and Amplitude, and founding Enterpret with his brother. It touches upon the competitive spirit prevalent in India's younger generation and its impact on Varun's career.
  • Varun Sharma, CEO of Enterpret
  • Originally from India
  • Grad school in New York (2010)
  • Worked at LinkedIn and Amplitude
  • Founded Enterpret with his brother
  • Competitive spirit of India's younger generation

Shownotes Transcript

This week's guest is Varun Sharma, CEO and co-founder of Enterpret.

Varun's journey to founding Enterpret began at Amplitude, where, as employee 15, he helped scale product analytics for startups to Fortune 500s. During this time, Varun identified a major gap: product teams knew what was happening with their data but not the why. The solution? Insights were buried in unstructured feedback—messy, inconsistent, and impossible to scale. Today, Varun and his team at Enterpret help companies like Canva, Notion, Vimeo, and Strava turn feedback into actionable insights, empowering teams to drive growth and build products users love.


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