The Real Pros And Cons Of Working At FAANG And Big Tech

Working at FAANG and Big Tech is general is put on a pedestal by the vast majority of the industry, but it's not all sunshine and roses. Here's the complete pictures:
- Pros:
  - **Prestige** - If you don't already have one of these names on your resume, adding one makes it 10x better automatically.
  - **Compensation** - This one is the most obvious: These companies pay extremely well.
  - **Consistent foundation** - The biggest one is the learning, especially for earlier-in-career software engineers. It is hard to go into these companies, do well there for a couple years, and not come out as a significantly better engineer. You will get more consistency by setting a baseline for your compensation and level.
- Cons:
  - **Hard to find scope** - In particular, growing to senior can be difficult. So many of the hard technical problems at these companies are already solved, and there are thousands of super talented software engineers looking for scope as well.
  - **You're just a cog in the machine** - At FAANG, you are one talented engineer out of literally 10,000+. The majority of engineers will be doing very incremental work that doesn't feel very fulfilling - There are literally engineers whose job it is to optimize a single button. This is all very connected to the aforementioned con of not being able to find scope.
  - **Work-life balance is dicey** - These companies pay you well for a reason: The bar is high. It can be stressful and tiring to meet expectations, especially if you're transitioning from a non-FAANG company.
- It's also important to remember that you need a much more holistic set of skills on top of coding most of the time to succeed at these companies. For many, this is a pro as it leads to more well-rounded growth, but for others who want to focus more on being builders, it can be incredibly draining.

For a deeper look into what life at FAANG is actually like, join us for our upcoming event: [Should You Work At FAANG? - What Big Tech Is Like For Software Engineers](https://www.jointaro.com/event/should-you-work-at-faang-what-big-tech-is-like-for-software-engineers/)

This clip was taken from our [1.5 hour masterclass on finding the best company/team for you, which you can click here to watch](https://link.jointaro.com/F4DDyKfuo3hMhj868).

Related resources:
- [Why You Should Start Your Career At A Big Tech Company](https://link.jointaro.com/9k3HkgfJsTp1Nd2w5)
- ["What's the difference between Big Tech and startups in terms of learning and growth?"](https://link.jointaro.com/n57gbTWERveGTQuM9)

[Case Study] Hypercharging Your Growth At Early Startups (w/ Staff Engineer Seed Zeng)

[Click here for the presentation slides](https://docs.google.com/presentation/d/1ZocNUZJL-feWAKoucVLUcaVxix2Xa1udEL4KpgQRBTo/edit?usp=sharing).

There are a *ton* of great points covered in this session, so we'll only share our Top 5:
- **Startups have massive scope** - In an early-stage startup, there is always an infinite supply of hard, technically deep problems. This allows you to have a lot of freedom choosing an opportunity that works well for you and build up a wide breadth of important skills. This is almost always *not* the case in Big Tech - [Check out this expert career advice on the difference between Big Tech and startups when it comes to learning](https://link.jointaro.com/n57gbTWERveGTQuM9).
- **Don't say "I'm not qualified to work on this"** - The best software engineers are able to adapt to any situation their team faces and add value regardless of what framework or tech stack is needed. In order to do that, you must first flip this fearful mentality. [Here's our masterclass on how to learn quickly in tech](https://link.jointaro.com/S2h95sJvRU8Utjj6A).
- **Don't be afraid to make mistakes** - Recovering from a mistake is one of the most powerful ways to learn, and startups will generally have more tolerance for mistakes as stakes are lower compared to a more mature, massive public company where product issues can make the news. [Here's our advice on how to maximize your growth from mistakes](https://link.jointaro.com/THof1u97Z5t1ovCr9).
- **80% of the journey is just showing up** - Seek out important, complex situations and run towards them instead of away from them, especially with production issues. If you're earlier-in-career, you can learn a lot simply by being a participant in fixing these fires; from there, you can make yourself a core driver more and more. [Here's our advice on how you can be more independent debugging tricky technical problems](https://link.jointaro.com/xE8oMpCaDYjuMhCg7).
- **It's all about the people** - Your career growth is largely a product of the people you surround yourself with, and this is especially true in a startup where the team is small, bonds are deep, and everybody knows each other. [Here's our advice on how to network effectively within a company](https://link.jointaro.com/Hr1nr53D7sfQAEv3A).

To see (and hear) more from Seed:
- [Connect with him on LinkedIn](https://www.linkedin.com/in/seedzeng/)
- [Check out his podcast "Superposition"](https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkLnBvZGJlYW4uY29tL3N1cGVycG9zaXRpb25zaG93L2ZlZWQueG1s?sa=X&ved=0CAMQ4aUDahcKEwjot6up4Zf7AhUAAAAAHQAAAAAQAQ&hl=en)

Related resources:
- [Session #6 - Maximizing SWE Growth: Ownership and Specialization At Startups](https://link.jointaro.com/2ZevbN54MPZPTocH8)
- ["What's the difference between Big Tech and startups in terms of learning and growth?"](https://link.jointaro.com/n57gbTWERveGTQuM9)

What's Often Overrated When Choosing Your Next Job

Here are the attributes we've generally seen software engineers prioritize too much when weighing career opportunities:
- **Product space** - This usually manifests as pursuing a tech trend (like VR or NFTs). Of course, if you're legitimately passionate about the space, go for it, but seriously ask yourself if you would be in this space if it wasn't regularly talked about.
- **Technical space** - Similar to product space, you can follow trends here. Choose a stack that you're legitimately passionate about, which also has the support network you need (very important for junior engineers). The risk with cutting-edge technology is that it often doesn't have a lot of mature teaching resources behind it (it's cutting edge for a reason).
- **Level/title** - Promotion is a decent and concrete career goal earlier on, but don't go to bad companies to maximize your title. At the end of the day, your level and title are just strings next to your name.
- **Compensation** - Money is genuinely important in almost all cases, but what a lot of people don't realize is that very high pay often comes with a catch (usually work-life balance). Try treating this as a lagging indicator - If you're genuinely growing fast as a software engineer, you will eventually
land an opportunity that is top-of-market (as you deserve).

This clip was taken from the following masterclass: [[Masterclass] How To Choose A Good Company And Team As A Software Engineer](https://www.jointaro.com/lesson/0WEmTNZOMIh8xAdfO3JH/masterclass-how-to-choose-a-good-company-and-team-as-a-software-engineer/)

Related resources:
- ["How should I think about levels when it comes to evaluating jobs and in my career overall?"](https://www.jointaro.com/question/siBFn9WmU204N6D0IRHZ/how-should-i-think-about-levels-when-it-comes-to-evaluating-jobs-and-in-my-career-overall/)
- ["I feel like senior engineers tend to focus on a specific area. How can I pick a specialization that's still relevant in 5-10 years?"](https://www.jointaro.com/question/xFEhcvfbJ2P0pYzZ4r6f/i-feel-like-senior-engineers-tend-to-focus-on-a-specific-area-how-can-i-pick-a-specialization-thats-still-relevant-in-5-10-years/)

The First Thing You Need To Do Before Figuring Out Your Next Company And Team

Choosing the right company and team for you as a software engineer is one of the most important decisions you'll make, and given the high turnover in the tech industry, is a decision that you will have to make multiple times. This is why having the right mentality here is so crucial, which is what this video covers.

Here are the core points:
- Everyone is different - There is simply no "one size fits all" career path for everyone. FAANG companies are great overall of course, but there are going to *many* people and situations where it doesn't make sense to go there.
- Before thinking about your next move, have an honest conversation with yourself and those close to you about your priorities. *Your goal is to create a stack-ranked lists of your priorities.*
- Prioritization is a much harder exercise than people realize as there's simply so many angles to it. Here the ones mentioned in the video:
  - Compensation
  - Work-life balance
  - Company prestige
  - Supportiveness of team
  - Growth opportunities
  - Stability
  - Maximum outcome (risk tolerance)
  - Remote work
  - Product space
  - Company ethics
  - Technical space
  - Level/title
  - Benefits
  - Location

This clip was taken from the following masterclass: [[Masterclass] How To Choose A Good Company And Team As A Software Engineer](https://www.jointaro.com/lesson/0WEmTNZOMIh8xAdfO3JH/masterclass-how-to-choose-a-good-company-and-team-as-a-software-engineer/)

Related resources:
- ["How do I know when it's time to leave a team/company?"](https://www.jointaro.com/question/2Ahiy6ZtUYWDjkSoG3Zk/how-do-i-know-when-its-time-to-leave-a-teamcompany/) - This is the Q&A that Rahul mentioned in this video.
- ["What's the difference between Big Tech and startups in terms of learning and growth?"](https://www.jointaro.com/question/KWXIrFIR1EIJsvdOdo7u/whats-the-difference-between-big-tech-and-startups-in-terms-of-learning-and-growth/)

[Masterclass] How To Succeed At A New Team Or Company As A Software Engineer

There are **ton** of great points in this presentation, so to prevent this summary from being a 10 page essay, we're only including our Top 5 points:
1. **Asking for help != weakness** - In fact, it's quite the opposite: Trying to figure out everything on your own and not asking questions is what makes you weak. Being comfortable with your cluelessness and putting yourself out there aggressively to get all the help you need is what makes you strong. Learn more about this dynamic here: ["How do I balance being more independent and asking questions?"](https://www.jointaro.com/question/cLsgiARaD5kVmV1BvdUi/how-do-i-balance-being-more-independent-and-asking-questions/)
2. **Get maximum value from questions** - Ask high-quality questions and ask follow-up questions to really understand the answers your teammates give you and the systems they followed to arrive at those answers. Your goal is to learn skills in a sustainable way that makes you more independent as opposed to needing hand-holding all the time. To better understand hand-holding (and how to evolve from it), check out our in-depth explainer here: ["What does it mean to not require handholding anymore?"](https://www.jointaro.com/question/5vEWajcZlSi7nlohTGtJ/what-does-it-mean-to-not-require-handholding-anymore/)
3. **Don't get trapped reading the code and documentation** - The only real way to learn a codebase is to just hop in, start changing code and seeing what happens. Software is all about learning via doing. Watch this video to learn more: [How To Learn A New Codebase Fast](https://www.jointaro.com/lesson/DX27hiXPJ4G7Czk2mwLL/how-to-learn-a-new-codebase-fast/)
4. **Thanking people is a skill** - When you're onboarding especially, it is crucial for you to show your gratitude effectively: Don't just do the basic, boring "Thanks for the help!" DM over Slack/Teams after you have been helped. Send the helper a heartfelt note, tell them in person, or let their manager know about their great deed. You can learn more about "deep thanks" here: [Effective Communication Guide [Part 3.1] - The Power Of Thanks](https://www.jointaro.com/lesson/noWZaoGWlrYQxX2Vhigd/effective-communication-guide-part-31-the-power-of-thanks/).
5. **Be empowered to help others, even when you're new** - Anyone can help others, even the newbie. In fact, newbies are equipped to add unique value by having a fresh pair of eyes, particularly around improving the onboarding process for others. If you're onboarding, make it one of your priorities to earn respect as that will make the entire onboarding process smoother for you.

For more premier resources on onboarding:
- [[Case Study] Becoming A Tech Lead Again In Just 1 Month After Joining Robinhood From Meta](https://www.jointaro.com/lesson/X8vpfJooDpsX915ouC00/case-study-becoming-a-tech-lead-again-in-just-1-month-after-joining-robinhood-from-meta/)
- ["How do you overcome the fear of asking stupid questions / bothering people when you need help?"](https://www.jointaro.com/question/vNE8kgpx2zdI1wACg9jA/how-do-you-overcome-the-fear-of-asking-stupid-questions-bothering-people-when-you-need-help/)
- ["How can I become more independent and better at unblocking myself with tricky technical issues?"](https://www.jointaro.com/question/QhqQQGrDgFjZbqohpKe0/how-can-i-become-more-independent-and-better-at-unblocking-myself-with-tricky-technical-issues/)
- [Presentation Slides](https://docs.google.com/presentation/d/1MTs7GIklpVnYrA_JRlgcpKu1reeTLto1kYEsa6M8UqI/edit?usp=sharing)

System Design Series: Taro Playlists [Part 10] - This Is Just The Beginning

Congratulations, you made it to the end of our **system design** series! If you liked this series and want to see more like it, give this video and all the others in the playlist a like!

You can find the full [system design doc here](https://docs.google.com/document/d/15WaM8Ojan82g0m2mtz6kC2Hiyj0Q6VbjfqRmVNDI3qw/edit?usp=sharing) - Feel free to use it as a template for when you are working through a **system design** at your job!

Here are the core points from the video:
- Creating the **system design** doc is just the 1st step of the process: The next step is getting aligned from the team!
- Here are the steps to get strong alignment and the technical and overall product direction on a project:
  - Time-box the exercise: Have a firm date in mind on when this alignment needs to happen and work backwards from that date.
  - Share the doc with teammates and stakeholders and push them to leave feedback asynchronously. You can directly cc important people on relevant portions for them to look through.
  - Set up a tech review meeting as a forcing function to solidify all the alignment and talk through any remaining points of content. This meeting should probably be 45 minutes or more. Book it far ahead of time as senior+ engineers, tech leads, and managers tend to have very busy schedules.
  - Remind people before the meeting to go through your system design doc beforehand and try to resolve as many threads before the meeting as possible. You might need to do this several times.
- Everything covered in this system design series is effectively a requirement to be a competent senior+ engineer and tech lead, *especially* if you work at FAANG or some other Big Tech company.
- This can all be done reactively as well. If you're working on a small, tightly-knit team with very high synergy (common in startups), raw tribal knowledge and ad-hoc collaboration may be enough to ship projects consistently well. In this case, doing all this probably doesn't make sense. However, if your last couple projects have been pretty rocky, you might want to consider adding all the processes outlined in this series.

If after all this, you're still hungry for more **system design resources**:
- [How To Ace Your Big Tech Interview [System Design]](https://link.jointaro.com/NoVGhFiEErzfh61f6) - This is a full 1.25 hour masterclass, so prepare yourself for a **ton** of knowledge!
- ["How do I get better at building large scale systems without working directly on such projects?"](https://link.jointaro.com/Dm9wE33YC7ffwAPa6) - Question from a Senior Software Engineer at LiveRamp
- ["How to improve on non-technical skills like writing software design document?"](https://link.jointaro.com/T7GCmM4Z4CZhve4y5) - Question from a Mid-Level Software  Engineer at Microsoft
- ["My team has been doing architecture debates for months and we’re in gridlock."](https://link.jointaro.com/Zzx1NRMJFHvtHcvP8) - Question from a Senior Software  Engineer at Google
- ["How can I better contribute to system design discussions on my new team?"](https://link.jointaro.com/FH7ED2533nSTJSRc6) - Question from a Senior Software Engineer at Google

System Design Series: Taro Playlists [Part 9] - Thinking Into The Future

You can find the full [system design doc here](https://docs.google.com/document/d/15WaM8Ojan82g0m2mtz6kC2Hiyj0Q6VbjfqRmVNDI3qw/edit?usp=sharing) - Feel free to use it as a template for when you are doing a system design at your job!

The system design tactics are covered in the doc linked above, so this summary will focus on the "meta" context behind this part and additional commentary:

- Products are rarely shipped in isolation: You will almost always iterate on them in the future, extending them and adding new features.
- You should always take some time to think into the future for your project. The amount of time you take will vary a lot based on situation, but it generally plays out like this across company types:
  - **Smaller companies and startups**: Spend less time as goal is to ship, and it's unclear if the company will survive to even iterate.
  - **Big Tech/FAANG**: Spend a lot of time as these companies need to think long-term to maintain their massive market presence.
- When coming up with future iterations during your system design, order them by likelihood of doing and level of priority.
  - Spend more time thinking through the scenarios at the upper end of the list and incorporate them into your system design if they are very likely to be done in the next couple months.
  - Your goal is avoid a scenario where you need to extend your system shortly after it's launched, but it's so brittle and fragile that you would need to rewrite huge swaths of it to accommodate the new use-cases.
- However, this is a failure mode on the opposite extreme and that is being unreasonably forward thinking and over-engineering your system as a result. Making a protocol more generic and scalable almost always takes more time.
- When building systems or services, seriously think about the assumptions you are making.
  - Will the input this API takes in always be in this format and have certain fields?
  - Will this hard-coded if-statement start blocking valid control flows in the future?

System Design Series: Taro Playlists [Part 8] - Breaking Down The Work And Timeline

You can find the full [system design doc here](https://docs.google.com/document/d/15WaM8Ojan82g0m2mtz6kC2Hiyj0Q6VbjfqRmVNDI3qw/edit?usp=sharing) - Feel free to use it as a template for when you are doing a system design at your job!

The tactics are covered in the doc linked above, so this summary will focus on the "meta" context behind this part and additional commentary:

- Something Alex forgot to mention in this video is the "POCs" section, where POC = "Point of Contact".
  - Big projects will usually have a lot of stakeholders, so having this "people map" is very helpful for any project stakeholder to know who to direct their questions to for a certain aspect of the project (which are often about the timeline/milestones).
  - This small, humble section is *especially* relevant at FAANG/Big Tech where the range of responsibility holders is almost always huge for major projects.
- Decomposing work and breaking big projects down into smaller tasks is helpful for so many reasons:
  - It allows you to estimate the project far more accurately by increasing clarity.
  - It creates "swim-lanes" for more junior engineers as they now have smaller, clearer chunks of work as opposed to this giant, hulking ambiguous cloud of a project.
  - It makes it easy to understand project as you can now break clusters of tasks into groups and attach a milestone to each group.
- Don't just decompose the work: Try to sequence it into a logical order as well. For example, if you're building a CRUD feature, you probably want to prioritize the "Create" part as that's what everything stems from.

System Design Series: Taro Playlists [Part 7] - How Can Things REALLY Break?

The tactics are covered in the system design doc, so this summary will focus on the "meta" context behind this part and additional commentary:

- You should *always* think about "How can we cause a SEV?" when you're planning out system design for any substantial project or task.
  - **Context:** SEV = Severity, which is the term Meta, Robinhood, and many other companies use to describe a really bad product event.
  - This is one of the purest and most critical manifestations of proactive thinking, which is one of the trademark attributes of a competent senior+ engineer and tech lead. SEVs are events that seriously set back your organization or even your entire company if they're something you have to react to as opposed to catching them early.
- This "anti-SEV" thinking is *especially* relevant for Big Tech where the stakes are much holder due to regulatory constraints, increased media presence, and a massive scale of users.
  - It's also far harder to do this well at Big Tech due to a greater range of ways things can break.
  - However, if you can do this well, you will add a tremendous amount of value to your team. This is why pretty much all senior and staff engineers at FAANG and FAANG-equivalent companies have really developed this skill.
- Here are the ways a SEV can happen from the video (these are all vectors Alex dealt with at Meta as well):
  - **Users not playing nice** - You should never assume that users will put in proper inputs or even not want to harm other users. Most major tech products have some sort of multiplayer component, so it's important to be vigilant here.
  - **Bad auth context** - This means that users are able to carry out actions on behalf of other users. This can happen either intentionally (i.e. the acting user is malicious) or accidentally (e.g. the user has multiple accounts on your service and switching between them cleanly is broken).
  - **Incorrect backporting** - "Backporting" is the process of making things work on older builds of your software. This is *very* relevant for mobile engineers as there will always be a good amount of users on older builds, especially if your product is used by people in regions with lower internet.

You can [find the full system design doc here](https://docs.google.com/document/d/15WaM8Ojan82g0m2mtz6kC2Hiyj0Q6VbjfqRmVNDI3qw/edit?usp=sharing) - Feel free to use it as a template for when you're going through the system design process at your job!

System Design Series: Taro Playlists [Part 6] - Overall Approach And Tradeoffs

You can [find the full system design doc here](https://docs.google.com/document/d/15WaM8Ojan82g0m2mtz6kC2Hiyj0Q6VbjfqRmVNDI3qw/edit?usp=sharing) - Feel free to use it as a template for when you're designing systems at your job!

The tactics are covered in the doc linked above, so this summary will focus on the "meta" context behind this part and additional commentary:

- When it comes to determining your overall approach, it's important to understand the priorities and values of your team/company. You can't have it all when building software; when you invest more in a certain attribute, it will generally take away from others. Here are some example attributes:
  - Execution speed
  - Feature robustness
  - Code readability
  - System scalability
  - Design and aesthetic
- Taro and very early-stage startups in general will make warped decisions as the prioritization leans extremely heavily towards execution speed. The goal is to 80/20 as much as possible when it comes to all the other attributes surrounding quality.
- Since this case study is a pretty basic CRUD play building on top of an existing model, there isn't too much complexity around the approach. However, you generally want to propose 2+ concrete approaches and the tradeoffs behind them, especially at a Big Tech company where you often have many, many options.
- Here are the technical design principles covered in the video:
  - **Single source of truth**: This is a very easy way to systems to break and have inconsistent experiences. Let's say your content object has 2 fields, a boolean of "hasLikes" and then an array of users who have liked this particular piece of content. You can either check the emptiness of the array to see if the object has likes or consult the boolean. It's extra work maintaining these 2 different representations of this information, and if they fall out of sync and 2 services/surfaces each read from a different one, things will get weird.
  - **Smart server, dumb client**: You cannot scale the user's device unless you ship them a new computer or phone. However, you can theoretically infinitely scale your server-side. This is why clients (i.e. usually front-ends) should be as dumb as possible with the back-end abstracting away as much complex logic as possible. This is especially true when your product is a mobile app as there will always be users lagging on older versions of the app - You don't want to have to make a mobile update every time you have a basic product logic change. Make your back-end protocol generic, flexible, and powerful.
  - **Be additive with data model**: This is primarily relevant with mobile apps as you will have users on older builds. If you change or remove a field, older builds will break. You can't count on your users to all update to the latest version of your app immediately.

System Design Series: Taro Playlists [Part 5] - Data Model

You can [find the full system design doc here](https://docs.google.com/document/d/15WaM8Ojan82g0m2mtz6kC2Hiyj0Q6VbjfqRmVNDI3qw/edit?usp=sharing) - Feel free to use it as a template for when you're designing systems at your job!

The concrete details are covered in the doc linked above, so this summary will focus on the "meta" context behind this part and additional commentary:

- Always define the data model if applicable. It is the "core operating unit" of your system - Everything revolves around it. That's pretty much what CRUD is: You have some data model and the entire ecosystem revolves around manipulating it properly.
- Define the table/collection(s):
  - What is its name?
  - What does it represent? If you can include a visual aide on how it's actually rendered for the user, that makes things a lot clearer.
- Define the fields on your model:
  - What is its name/key?
  - What is its type?
  - Is it required?
  - What does it represent? This should include information on what kind of key it is (e.g. primary key) if applicable.
- Illustrate the model to make it really clear. JSON is really good at doing this as it's very readable. There are many free incredible JSON formatters online (Alex used them all the time to make project specs).

System Design Series: Taro Playlists [Part 4] - Covering Edge Cases

The tactics are covered in the doc linked above, so this summary will focus on the "meta" context behind this part and additional commentary:

- You should *always* at least try to cover all the edge cases when building out a product, even if you're a small startup.
  - If you're at Big Tech in particular, you absolutely need to have amazing coverage on edge cases as even an issue affecting just 1% of users could be breaking the experience for 10 million+ people.
- A lot of edge cases are quite easy to cover and are low-hanging fruit. Bad engineers will be lazy and ignore these, supposedly in the name of velocity.
  - **Example:** You have a login form that takes in email. Instead of no-oping, throwing a generic error, or letting them login with an invalid email, validate the email upon submission and show an error message if it's invalid. This will almost always be a 5-10 minute change.
- There's many "playbooks" of edge cases, so coming up with edge cases isn't rocket science - It's largely a solved problem. Here are some examples:
  - **Generic edge cases that apply to any user input:**
    - Input is blank
    - Input is overly long
    - Input is very strong
  - **Generic edge cases that apply to any content collection:**
    - No content
    - A lot of content
    - Content fetch fails
- *Being very diligent around edge cases is also crucial for interviews, both DSA and system design, and is often how Big Tech interviewers differentiate the great candidates from the mediocre ones.*

You can [find the full system design doc here](https://docs.google.com/document/d/15WaM8Ojan82g0m2mtz6kC2Hiyj0Q6VbjfqRmVNDI3qw/edit?usp=sharing) - Feel free to use it as a template for when you're designing systems at your job!

System Design Series: Taro Playlists [Part 3] - Defining The Requirements

You can [find the full system design doc here](https://docs.google.com/document/d/15WaM8Ojan82g0m2mtz6kC2Hiyj0Q6VbjfqRmVNDI3qw/edit?usp=sharing) - Feel free to use it as a template for when you're designing systems at your job!

The concrete details are covered in the doc linked above, so this summary will focus on the "meta" context behind this part and additional commentary:

- It's very important for engineers to clearly understand the requirements of the product as they need to build them.
  - A common failure mode is that the proposed requirements aren't technically feasible. It's important for engineers to call this out as early as possible, which is why it's a valuable exercise for them to really lay out in the requirements in their system design doc and overall process.
  - Very senior product managers may give broad strokes in terms of what the product should do. Another reason why this exercise helps engineers is that it's actually up to them to convert the high-level points from their PM into very concrete features and requirements.
- "Jobs to be done" is a mental framework championed by Kevin Systrom, the co-founder and initial CEO of Instagram. The idea is that every product is "employed" by users to do a certain "job" in their life. This is a very important thing to understand about a product and clarifying this serves as an intermediary step towards creating concrete requirements.
- Something that's missing from this document are designs - This is because Taro has no dedicated design support at this stage. At a more mature company (which you almost certainly work at as the viewer), you would have designs at this stage in the document (it can be its own section). For front-end products, you need to put pixels on screen at the end of the day, so it's crucial for engineers to have designs to really understand the requirements and provide concrete feedback.

System Design Series: Taro Playlists [Part 2] - Sharing The Context

Core points from the video:

- Weak organizations will have product and engineering be incredibly siloed. It is far more effective when product managers and engineers work very closely together. Meta in particular has seen a lot of success by having this harmonious culture.
  - This means that software engineers should also understand why they are building something and not purely be responsible for implementation.
  - Software engineers should have an opinion on the product and work with their PMs to optimize vision and direction.
- A master spec should also have the context behind the "why" of a product and not only contain technical details.
  - The product details will often live in a separate document called a PRD (Product Requirements Document). In this scenario, you should link it in your technical spec and maybe have a paragraph summary of its contents as well.
- Capture any existing context that will affect how you build your system. This will often means that there's components that are already around in your company's ecosystem that you need to build on top of - This scenario is extremely common when building projects in Big Tech.
- Attach visual aides if you can (images, videos, gifs): It makes it far easier for project stakeholders to grok the information.
- **Context behind Taro playlists:**
  - One of the most requested feature within Taro
  - Think of it as being similar to YouTube playlists
  - We have already shipped a read-only version of playlists

For the full system design doc, you can get it by [becoming a Taro Premium member](https://www.jointaro.com/membership).

System Design Series: Taro Playlists [Part 1] - What REAL System Design Looks Like

This video is the introduction to our system design series, a vital skill for senior software engineers to succeed, especially at FAANG and Big Tech in general.

**Update:** Playlist are now shipped within Taro! Try it out and see how the system design in this video brought this feature to life by visiting the full playlist for the series here: [System Design Masterclass: Taro Playlists](https://www.jointaro.com/playlist/dChIyTQcu2Ct5VC70lki/)

Core points from the video:

- System design interviews are more analogous to your actual job than data structures and algorithms, but there are two big gaps:
  - **Overly grandiose exercises** - You will never get a technical problem on the scale of "Build all of Netflix", especially if you work at a Big Tech where you will get something much more local. Most of the biggest problems at these companies are already solved due to their maturity and plethora of software engineering talent.
  - **Time constraint** - Because interviews are time-boxed to 45 to 60 minutes, you have to do very broad strokes. In real life, system design should be much more thorough and has more steps and technical writing.
- To make this series as authentic as possible, we are going to be breaking down an actual upcoming feature within Taro: Playlists! On top of this:
  - This system design is exactly how Alex would design a system if he were still at Meta/Robinhood as a tech lead. While Taro doesn't need something this granular as a startup, this series simulates many aspects of a more mature company.
  - Alex has made a very thorough 9-page system design doc going through every aspect of the system.

[Case Study] Building XFN Alignment Across Multiple Orgs (w/ Staff Engineer Cat Chen)

[Cat Chen](https://catchen.me/) talked about his success building alignment across multiple orgs. 

Cat was working at Facebook as a Staff Engineer on the growth team. His charter to get the Android apps on app stores beyond the Play Store. (There were 10+ non-Google stores where Android apps get downloaded with some level of traffic.

Getting an app listed on a 3rd-party platform is simple – sign up as a developer on that platform; upload the Android app for review; wait for approval and launch it. Just as simple as publishing to Google Play.

**BUT it's not that simple at a company like Facebook.** Facebook lawyers wouldn’t allow Cat to accept the Terms of Service on behalf of Facebook the company. Cat didn’t have the privilege to bind Facebook into this contract and even if he did, the lawyers would certainly advise against that.

Instead of simply handing this problem to another person or org, Cat met with a director-level lawyer. Given he was on a different time zone, and in a different job function altogether, this took some legwork. The director explained the risk profile (Facebook could have unlimited downside by blindly accepting an agreement). Eventually Cat discovered a workable solution by using a contracting company to sign the legal agreement, which limits the damages that Facebook may face.

Impact of this work: 
- Successful launch of the existing Android apps
- Ability to launch other apps in the future
- Deep and positive relationship with the legal team, and Cat owned that relationship (which made him indispensable)
- **Almost zero lines of code written!**

[Connect with Cat](https://www.linkedin.com/in/catchen/)

For more resources on how to communicate, build alignment, and operate as a Staff Engineer:
- ["How do I sell the vision behind a large, org-level project?"](https://link.jointaro.com/NGCrB2ifkkpDaDe69)
- ["What's the Difference Between A Senior And Staff Engineer?"](https://link.jointaro.com/BEM2RAjPFe8Pv7826)
- [Guide to Effective Communication](https://link.jointaro.com/mP3WEd4zt5ecnupX6)

How Rahul Accidentally Got 70k Installs On An Android App

### The Story
- Before 2021, Rahul's YouTube channel was focused on Android tutorials.
- One of the tutorials he made was a simple Android app that let you set your status as an emoji. It was a pretty basic example of using Firebase.
- To make the output of the tutorial accessible, Rahul published the completed app to Google Play.
- What he didn't realize is that the app would be discovered by tens of thousands of users. After the past couple years, it has gotten 70,000+ installs with near-0 effort from Rahul.

### Learnings
- *Always publish* - So many people make projects that they then abandon or declare victory after the GitHub has gotten to a good state (even sharing this on their resume). Your code will pretty much never matter until it's fully out there in the world - If you're looking for your projects to help with job searching, recruiters are not going to care how clean the GitHub is.
- *Android distribution is extremely powerful* - Android has over 2.5 billion active users, and that number continues to grow. Due to the sheer volume of people, Android is one of the easiest platforms, if not **the** easiest platform, to publish something that gets a ton of users. There are far fewer Android apps compared to websites, so it's easier competing for Google Play search traffic vs. Google website search traffic. You only need to pay a 1-time $25 fee to publish an infinite amount of apps.

If you want to learn how to build your own side projects that get a ton of users:
- [In-depth Session On How To Come Up With Side Projects That Can Get 100k+ Users](https://link.jointaro.com/4m3CpQGgvkN3Xuem9)
- [In-depth Session On How To Grow Side Projects To 500k+ Users](https://link.jointaro.com/8QPgCkexjUjR9AA29)

How Alex Made An App That Got 80k+ Users In 1 Month

### The Story
- In summer 2016, Pokemon GO took over the world. Alex saw a need for an app to figure out where certain Pokemon were, so he and a friend quickly created a Yelp-style crowd-sourced app tying Pokemon to locations (pulled from the Yelp API). Alex worked on the Android app, and the friend owned by back-end.
- The app immediately saw immense traction, going from a few dozen to a few hundred to a few thousand (3,000+) new installs *per day* within just a week. **After less than a month, the app had been used by 80,000+ people.**
- Alex ran into copyright issues publishing the app as it used Pokemon images. Despite the app being free, ad-free, and not even asking for donations, it kept getting rejected. To hack around this, a server-side flag was created to turn off the images as the app was in review and turn them back on when the app got approved.
- Google Play eventually found out about the trick and took down the app for copyright infringement. However, the app was impressive enough at this point that Alex could include it on his resume, and it helped a lot getting interviews and giving him something to talk about during them.

### Learnings
- *Building a marketplace is extremely difficult* - A marketplace product is one that's a platform and requires a certain amount of some valuable resource in order to be useful: It's not useful on its own in a vacuum. For example, Uber needs a supply of readily available drivers to be useful. In this app's case, it needed data on Pokemon locations, which had to be provided by users.
- *Don't expect users to use the product properly* - In fact, don't expect your users to not be jerks. The app suffered a lot initially as users were uploading blatantly fake data of legendary Pokemon showing up in the wild - Legendary Pokemon hadn't even been released yet during the app's lifespan!
- *Be proactive and think through edge cases* - Zooming out from the prior point, it's just good to do this in general no matter what kind of software you're building, whether it's an entire app or a small feature on some already existing product owned by a FAANG company. Understand how things can get weird and address those scenarios accordingly.

If you want to learn how to build your own side projects, check these out:
- [[Masterclass] How To Come Up With 100k+ Users App Ideas You Can Build For Free](https://www.jointaro.com/lesson/AI4zi759PSGn6RwIFT6f/masterclass-how-to-come-up-with-100k-users-app-ideas-you-can-build-for-free/)
- [[Masterclass] How To Build And Grow Tech Products To 500k+ Users For Free](https://www.jointaro.com/lesson/OEuX0KMhcnNSTJ50Voee/masterclass-how-to-build-and-grow-tech-products-to-500k-users-for-free/)

If you're interested in the code of the Android app, Alex took the time to save it here: [https://github.com/Gear61/GO-Database](https://github.com/Gear61/GO-Database).

The Most EVIL Way To End An Interview (And How Not To Do It)

Here are the core points from the video:
- It is **never** okay to end an interview early because the candidate wasn't good enough. This is immensely disrespectful, especially for an onsite interview where the candidate carved out an entire day to do it (likely taking PTO if they are currently working).
- As an interviewer, you are also representing your company. If you do this, you are hurting your company's reputation as people talk - That candidate is very likely to tell others that your company is a horrible place to interview at.
- When this scenario happens, *the proper thing to do is to switch gears and go entirely into maximizing candidate experience* (as your goal isn't collecting signal anymore). This involves:
  - Giving them hints aggressively to help them complete the problem
  - Pair programming with them and trying to teach them - Use your interview to make the candidate a better software engineer!
  - Allocating more time for them to ask questions about the company - Try to get them excited! If you do this properly, they'll want to interview with your company again at a later time. People change - They may come back in a few years and be an absolutely incredible engineer you 100% want to hire.

Related resources:
- [Full session on being an amazing interviewer](https://link.jointaro.com/NhjenQ5vERKwRPdb9) - This is where this clip was cut out from.
- [Full 1 hour+ Masterclass On Acing Your Big Tech DSA Interview](https://link.jointaro.com/VfSeuUFiXNtKa5if7)
- [Full 1.3 hour Masterclass On Acing Your Big Tech System Design Interview](https://link.jointaro.com/Tmqs62Lw7WV4qDw59)
- [How Alex Got Into Meta With 0 Prior Leetcode Experience](https://link.jointaro.com/vaNH1hjRUhmF8ibSA)

Why Being A Good Interviewer Is So Hard

Every software engineer know what it's like to be interviewed, but few know what it's like being on the other side of the table giving the interview. It's important to understand this flipped perspective as it will help you resonate with the interviewer.

Here are the core points from the video:
- A good interviewer has 2 core goals:
  - Get signal on the candidate's abilities
  - Provide a great candidate experience
- Unfortunately, these 2 things usually conflict. In order to get good signal, the candidate often times has to struggle to solve a tough problem. Struggle is generally not associated with good experience.
- *A truly good interviewer makes it so that the candidate enjoyed their round even if they didn't pass.* This means that you need to get signal in a positive way by building the candidate up and bringing out their true skills without solving too much of the problem for them.

Related resources:
- [[Taro Top 10] Effective Interview Prep](https://www.jointaro.com/playlist/HLBYxJI7D1j8STolrwum/)
- [[Masterclass] How To Ace Your Big Tech Interview - Data Structures And Algorithms](https://www.jointaro.com/lesson/V4sTACzfOh22nMVcUV3w/masterclass-how-to-ace-your-big-tech-interview-data-structures-and-algorithms/)
- [[Masterclass] How To Ace Your Big Tech Interview - System Design](https://www.jointaro.com/lesson/J3I9fTW9ulr6T9KjxpqY/masterclass-how-to-ace-your-big-tech-interview-system-design/)
- [How Alex Got Into Meta With 0 Prior LeetCode Experience](https://www.jointaro.com/lesson/ZYiTbN21FsqFxFdpwt5a/how-alex-got-into-meta-with-0-prior-leetcode-experience/)

Tech Career Growth Videos

Our instructional videos provide software engineers with insights needed for career growth. Masterclasses go incredibly in-depth on a specific tech topic while case studies are real examples from established engineering leaders.