← Google Interview Insights

Google·Product Manager·Onsite - Product Sense / Strategy·Intermediate

Intermediate
May 2026

Summary

Got a product strategy question at Google that sounds deceptively simple but opens up into a pretty deep rabbit hole once you start thinking through it.

Questions Asked (1)

Q1

A previously unknown indigenous language has just been discovered. How would you bring it onto the internet?

Product Sense & IdeationProduct StrategyCross-functional Alignment
Author's notes

I went straight to digitization and search indexing and the interviewer just kind of waited.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying the goal: to enable the language community to use, preserve, and grow their language online. Then outline a phased approach: digitization, tooling, and ecosystem building, while emphasizing collaboration with the community and cross-functional partners.

Pro tip: Show empathy and cultural sensitivity: the community must lead, with Google as an enabler, not a savior. Mention that you would establish a community advisory board and follow ethical AI principles.

1. Understand the Language and Community Needs

Research the language's structure, writing system (if any), and the community's goals for digital inclusion. Engage with linguists and community leaders to ensure alignment.

2. Digitize and Standardize

Work with experts to create a digital corpus, standardize orthography, and develop input methods (e.g., keyboard, voice). Leverage existing Google tools like Unicode, Noto fonts, and open-source NLP libraries.

3. Build Core Language Technologies

Develop foundational NLP models (tokenization, translation, speech recognition) using community-sourced data. Prioritize low-resource techniques like transfer learning and active learning.

4. Integrate into Google Products

Add the language to Google Search, Translate, Gboard, and other relevant products. Ensure user experience is localized and accessible.

5. Empower the Community and Scale

Provide open-source tools, training, and platforms for the community to contribute and maintain the language online. Measure success by adoption and community ownership.

Key Points to Mention

  • Community co-design and ethical considerations (data sovereignty, consent)
  • Leveraging Google's existing infrastructure (Unicode, Noto, TensorFlow, open-source NLP)
  • Phased approach: start with digitization, then basic tools, then advanced AI
  • Cross-functional collaboration: linguistics, engineering, product, legal, and community partners
  • Success metrics: number of speakers using the language online, content created, and community satisfaction
  • Potential challenges: lack of digital data, non-standard orthography, low connectivity, and cultural sensitivity

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.