Break Into Tech And Become A Software Engineer [Part 22] - Maintaining A Positive Mindset

In this lesson, Brian emphasizes the importance of controlling the information you consume and maintaining a positive mindset when navigating the tech job market.

This lesson covers:

- The dangers of negative content, like fear-mongering videos on social media, which can distort your perception and feed into unnecessary fear and pessimism
- The "red car theory," where focusing on something makes you see it everywhere, influencing how you perceive reality, especially when it comes to fear and job security
- How to cultivate optimism by unfollowing fear-based content, following educational accounts, and using tools like the imposter syndrome killer worksheet to identify gaps and take actionable steps toward your goals

If you need extra help breaking into tech, join Brian's exclusive, cohort-based bootcamp (just 10 students per batch). Use this special link for $800 off: <https://www.parsity.io/taro>

Connect with Brian on LinkedIn: <https://www.linkedin.com/in/brianjenney/>

Market Expansion: The Similarity Between Startups And Content Creators

Steve supports several hundred engineers at Amazon as a Principal Engineer. After finding himself giving out the same advice repeatedly, he decided to package up his insights into a YouTube channel. However, similar to Rahul's content, the applicability of his advice turns out to be much broader than just software engineers.

Steve is focused on having the maximum impact on as many people as possible, which means that he welcomes the “pivot” into the broader audience of knowledge workers.

This is a common pattern within content creation and startups: you start by focusing on a specific niche and being hyper-focused on serving them. But you realize that the product or content you created is actually applicable to a much broader set of people. 

- [How to evaluate a startup?](https://www.jointaro.com/question/UCG4XxyEOTjjyg4pEuwY/how-to-evaluate-a-startup/) 
- [“How much am I hurting my career with this startup?”](https://www.jointaro.com/question/dqCvmYhI9WE0k33orZEP/how-much-am-i-hurting-my-career-by-staying-at-a-startup-pressure-to-work-for-big-tech/)

Connect with Steve: 
- [Taro](https://www.jointaro.com/profile/aZJL3ucq9dQnscO09F4JDRkgPo72/)
- [YouTube](https://www.youtube.com/@ALifeEngineered)

"How can I get the most out of Taro Premium?" - 9/7/2022

- **Ask us questions!** 🙏 🙏 🙏
  - You can do it from the Taro web app [here](https://app.jointaro.com/questions/create).
  - A lot of your growth corresponds to how much you put yourself out there. The more you share, the more opportunities you're giving yourself to "get lucky" and receive some incredible, insightful advice you can apply to your job and level up.
  - *You don't need to have a good question or even a full question at all to ask something.* Taro is a judgment-free zone. Feel free to just share your current situation and thoughts on it and end your question with something like, "Do any of you have thoughts on how I can improve this situation?"
- Follow the tag corresponding to your level
  - The biggest commonality when it comes to career issues is level.
  - There are very clear patterns among senior engineers pushing for staff, mid-level engineers pushing for senior, etc.
  - In the Taro mobile app, go to the tags page and find the one for your level. If you follow it (or unfollow and then follow it again), it will float to the top of your home feed.
- Share your feedback
  - Every Taro Premium member is effectively a "mini product manager" of the company.
  - If you find a bug or have a feature idea that would help you a lot, please let us know!

Weekly Business Review

###### In this lesson, we introduce the **Weekly Business Review (WBR)** as Amazon’s core mechanism for consistently analyzing, improving, and controlling business performance. This structured, weekly ritual helped us align leadership around metrics, dive deep into customer experience, and create a culture of truth-seeking and operational rigor.

### Key Takeaways:

- **We used the WBR to bridge strategy and detail**: Contrary to conventional advice, we didn’t choose between high-level strategy and operational detail—we embraced both. The WBR let senior leaders dive deep while still steering big-picture strategy.
- **We built the WBR around the customer journey**: Our report flowed from financials to marketing, browsing, shopping, fulfillment, and customer support. Each department leader owned and explained their metrics—not analysts—ensuring accountability and depth.
- **We started before everything was perfect**: We launched the WBR even before our metrics were fully refined. By including many metrics upfront, we learned over time which ones provided signal and which were noise.
- **We continuously refined our metrics**: In each WBR meeting, we didn’t just review results—we asked whether we were measuring the right things and how to improve clarity and relevance of our metrics.
- **We made it a disciplined habit**: Reports were automated and delivered every Monday by 7 a.m., enabling prep ahead of the all-company WBR. This rhythm created organizational focus, enabled early issue detection, and aligned everyone around the brutal facts of performance.

The WBR was not just a meeting—it was a **weekly dose of operational truth** that made Amazon more customer-obsessed, data-informed, and execution-focused.

To dive deeper into Input Metrics Mastery and learn more from Bill and Colin, follow these links:

- Take the full course at their website: <https://workingbackwards.com/>
- Buy the book: <https://www.amazon.com/Working-Backwards-Insights-Stories-Secrets/dp/1250267595>
- Bill's LinkedIn: <https://www.linkedin.com/in/bill-carr/>
- Colin's LinkedIn: <https://www.linkedin.com/in/colinbryar/>

The Best Gift You Can Give Yourself When It Comes To Productivity

Which of these is the best gift you can give yourself when it comes to productivity?

True or false: Phones are great productivity tools as they allow us to accomplish almost anything in a really convenient way. This is why we should make sure that we always have our phones close by as we are working.

Where should you have your phone when you are trying to do deep work?

Between flow state and context switching, which is the safer option to invest into to make yourself more productive?

One of the best ways to improve your productivity is to block off chunks of time where you can focus without having to context switch.

Ace The ML System Design Interview [Part 9] - Common Problems

While specific interview questions vary, common themes emerge, and preparing for these can significantly improve readiness. Here are the core points from this lesson:

- Scaled recommendation systems are frequently encountered, with core components like filtering, ranking, and embedding computation remaining relevant despite variations in specific use cases
- Adapt recommendation system designs to different contexts, such as local recommendations, where rule-based systems might complement or replace certain machine learning components
- Harmful content detection is another common topic, requiring a feedback loop to generate training data, particularly from ambiguous cases in the "maybe" category
- Be prepared to explain how to handle ambiguous cases, as this demonstrates a deeper understanding of the problem
- Understanding the general concepts behind these two question types will provide a strong foundation for tackling many other interview questions

If you like what Ilya has to say, subscribe to his YouTube for more high-quality ML/AI career guidance: [MLEpath - YouTube](https://go.mlepath.com/taro-youtube-mlepath)

If you want hands-on support from Ilya to crack the FAANG ML interview, join his coaching program: [MLEpath - Coaching Program](https://go.mlepath.com/taro-march-25)

Competitive Pay

Big Tech companies are widely known for offering extremely competitive compensation packages, which is often one of the primary reasons engineers aim to work at these firms. This segment outlines both personal anecdotes and structural strategies that explain why compensation in Big Tech is so high.

- **Top-Tier Compensation Strategy**: Meta’s compensation goal, for example, is to pay in the 90th percentile—more than 90% of other tech companies—making total compensation significantly higher for engineers who make the transition into Big Tech.
- **Drastic Pay Increases**: It's common for engineers switching from smaller or non-FAANG companies to experience dramatic increases in pay - often as much as 50–100%.
- **High Cost of Living Justification**: These lucrative salaries help offset the cost of living in expensive tech hubs like Silicon Valley, New York City, and Seattle, where basic housing or property ownership can be out of reach without this level of income.
- **Prestige + Pay Combo**: Many engineers underestimate the financial upside of Big Tech and initially assume a 20–30% increase is generous. In reality, the combination of prestige and substantial pay is a powerful draw.

The Do's and Don'ts For Good Metrics

Here's the exercise worksheet: [Metrics Template and Worksheet Combined (B2C + B2B)](https://firebasestorage.googleapis.com/v0/b/tech-career-growth.appspot.com/o/courses%2Fslides%2FMetrics%20Template%20and%20Worksheet%20Combined%20$B2C%20%2B%20B2B$.xlsx?alt=media&token=3951bfd7-ef9e-4c81-9245-80043a4973d0)

In this wrap-up, we assign a powerful, hands-on homework exercise: to generate a **comprehensive set of input and output metrics** that can answer three foundational business questions. This process, built on the tools and frameworks we've covered, is the first real step in building a metrics-driven, customer-obsessed organization.

### Key Takeaways:

- **We focus on three key questions**:

  1. How did our business do last week?

  2. What was the customer experience like last week?

  3. Are we on track to hit our goals?

- **We use four core methods to identify input metrics**:

  1. **Metrics Mapping** – Drill down from business goals to uncover metric drivers.

  2. **Customer Experience Mapping** – Map and measure every customer interaction.

  3. **Customers** – Mine support data and engage with end users directly.

  4. **Defects** – Use root cause analysis (like CoEs) to find and track preventable errors.

- **We cast a wide net—hundreds of metrics is a good start**: This is not about picking the “best” metrics yet. We brainstorm 200–300 across all functions without concern for whether they’re inputs or outputs, or even if they can be measured immediately.

- **We avoid vague or compound metrics**: Good metrics are discrete, observable, and repeatable by different people or systems. Avoid averages where possible—percentiles and RMS error are often better indicators of variation and performance.

- **We assign priorities and assess data readiness**: After brainstorming, we tag each metric as Priority 1, 2, or 3 and indicate whether the data is currently available. This helps build a phased implementation plan for metrics collection and review.

This assignment launches the foundational work needed to operationalize a **weekly business review (WBR)**. It sets the stage for measurement, analysis, improvement, and control—ensuring our teams are focused on the right inputs to drive the right outcomes.

To dive deeper into Input Metrics Mastery and learn more from Bill and Colin, follow these links:

- Take the full course at their website: <https://workingbackwards.com/>
- Buy the book: <https://www.amazon.com/Working-Backwards-Insights-Stories-Secrets/dp/1250267595>
- Bill's LinkedIn: <https://www.linkedin.com/in/bill-carr/>
- Colin's LinkedIn: <https://www.linkedin.com/in/colinbryar/>

SWE Internship Survival Guide [Part 7] - Feedback Is Your Growth Fuel

Feedback is the most important growth tool for interns—and how you seek, receive, and apply it can define your success. Here are the core points from this lesson:

- Regularly ask for feedback (ideally weekly or biweekly), and be specific—ask what you should start, stop, or continue doing to improve
- Synchronous conversations (in-person or video) lead to deeper, more honest feedback than async messages—don’t rely only on Slack or email
- Always thank people for feedback, turn it into action items, and follow up to show progress—this builds trust and reinforces your coachability
- Make your improvements visible (e.g. call out test validation or coding pattern adherence in PRs) so your growth is legible to others
- Interns are evaluated heavily on growth rate (“slope”)—even if you start off behind, showing fast, consistent improvement is what earns return offers

DSA Interview Step Finale: Analyze Your Solution

You should proactively go over the time requirements, space requirements, and edge cases of your coding solution once you're finished coding.

Related resources:
- [[Taro Top 10] Effective Interview Prep](https://www.jointaro.com/playlist/HLBYxJI7D1j8STolrwum/)
- [[Taro Top 10] Finding A Tech Job](https://www.jointaro.com/playlist/E6R0wVJ5EyCfVnVrlfno/)

Become An Engineer Influencer [Part 28] - Final Words Of Encouragement

Congratulations, you made it to the end of the course, **Become An Engineer Influencer**! Connect with Michael:

- LinkedIn: <https://www.linkedin.com/in/michael-lin-tech/>
- Twitter: <https://x.com/\_michaellin>
- Newsletter: <https://www.michaellinwrites.com/>

Feel free to share any feedback on this course with us at [team@jointaro.com](mailto:team@jointaro.com). 

Share + get support on the Taro forum: [**joinTaro.com/questions/create/**](http://joinTaro.com/questions/create/)

System Design Example: TikTok Recommendation System

In this example, we apply the **5-part ML system design framework** to a product-focused recommendation system, like the “For You” page on TikTok. This walkthrough shows how to translate theory into a practical, high-impact system that balances user experience, business goals, and infrastructure at scale.

- **Problem Navigation**: We identify key functional and non-functional requirements—personalized video recommendations under 100ms latency for over a billion users. Product goals include maximizing watch time, retention, and creator growth, while supporting real-time responsiveness.

- **High-Level Design**: The system includes a content ingestion pipeline, feature extraction services, candidate generation and ranking models, a real-time serving layer, and a feedback loop. We distinguish between components that require real-time updates (e.g., inference) and those that can run in batch (e.g., daily retraining).

- **Data Strategy & Feature Engineering**: We engineer rich **user features** (behavioral, demographic), **video features** (metadata, embeddings), and **contextual features** (session state, time of day). Concrete examples include a **creator consistency score** and a **video novelty score**.

- **Modeling Approach**: We use a two-stage architecture:

  - **Candidate generation**: Options include two-tower models, matrix factorization, neural collaborative filtering, and graph-based models.

  - **Ranking**: GBDTs for interpretability or deep models for richer signal capture. We also plan for cold start solutions and use exploration strategies to mitigate popularity bias.

- **Evaluation, Deployment & Monitoring**: We evaluate offline with AUC and DCG, and run A/B tests in production to track watch time and session length. To meet latency goals, we apply compression, caching, and quantization. Monitoring covers drift, degradation, and business KPIs—with real user feedback continuously improving the system.

This structured approach helps us communicate clearly, think systemically, and demonstrate readiness for designing real-world ML systems at scale.

If you want to learn even more from Yayun:

- Book 1 on 1 career guidance with her here: <https://calendly.com/your-friend-yayun/1on1>
- Follow her on LinkedIn: <https://www.linkedin.com/in/yayunjin/>

Amazon Behavioral Interview [Part 12] - Tell Me About A Time You Exceeded Expectations (Evaluation)

This video segment provides feedback on an individual's response to a behavioral interview question.

- **Strengths:**

  - The interviewee provided a concise and impactful example of exceeding expectations in a previous role.
  - They effectively described how they leveraged a unique opportunity (increased gas rebate) and identified key levers for success, such as warehouse training and targeted marketing.
  - They highlighted the significant impact of their efforts, achieving a threefold increase in card acquisitions.

- **Areas for Improvement:**

  - **Quantify Impact Further:** While the interviewee mentioned a threefold increase in acquisitions, they could have further quantified their impact by mentioning specific revenue figures or the financial value of the increased customer base.
  - **Highlight Leadership and Collaboration:** The interviewee could have further emphasized their leadership and collaboration skills by describing how they:
    - **Overcame internal resistance:** They could have elaborated on how they addressed the concerns of the consumer card division and gained their buy-in.
    - **Built consensus with stakeholders:** They could have described their approach to gaining buy-in from Costco on marketing initiatives.
  - **Expand on Long-Term Impact:** The interviewee could have further discussed the long-term impact of their work, such as the development of a standardized process for acquiring new business customers, its adoption by other teams within the organization, or its contribution to the company's overall financial success.

- **Overall:** The interviewee provided a good foundation for their response. By incorporating the suggested improvements, they can further enhance their ability to effectively communicate their accomplishments and demonstrate their leadership, problem-solving, and results-oriented approach in a job interview setting.

Learn more about Alan's job search program, Kadima Careers, using this [discount link](https://signup.kadimacareers.com/mQBsDvu).

Maximize Your Equity And Benefits In Tech [Part 5] - Taxes (RSUs/Bonuses)

Many tech employees misunderstand the tax treatment of RSUs, leading to unexpected bills and avoidable penalties. Here are the core points from the lesson:

- When RSUs vest, their value is taxed immediately as ordinary income—similar to receiving a cash bonus
- Default federal withholding on RSUs is typically 22%, which is often too low for high earners, potentially resulting in underpayment penalties
- To avoid penalties, aim to meet the IRS Safe Harbor rule—usually by paying 110% of last year’s tax liability if your income exceeds $150k

Next steps with Andy:

- [Connect with Andy on LinkedIn](https://www.linkedin.com/in/andymoranio)
- [Leave feedback and/or sign up for Andy’s newsletter](https://subscribepage.io/taroequitycourse)
- [Schedule a consultation](http://adastrafp.com/contact-us/)

Get The Rating You Deserve [Part 14] - Regular Check Ins

**In this section, we explored the importance of regular check-ins with key stakeholders.**

To effectively leverage regular check-ins, we should:

- **Prioritize career discussions:** Shift the focus of our one-on-one meetings from status updates to career development.
- **Proactively communicate:** Initiate conversations about our goals, aspirations, and challenges.
- **Exhaust the feedback process:** Actively seek and incorporate feedback to improve our performance.
- **Communicate effectively:** Clearly articulate our needs and desires, using compassionate language.
- **Be patient and persistent:** Understand that change takes time and be persistent in our efforts to achieve our goals.

By effectively utilizing regular check-ins, we can accelerate our career progression and build strong relationships with our colleagues and managers.

If you want to get personalized support from Yogi, you can reach out to him at [coaching@yogisharma.com](mailto:coaching@yogisharma.com) or schedule an introductory call to dive into your situation at <https://tinyurl.com/meetyogi>.

SWE Internship Survival Guide [Part 8] - Ask Great Questions

As an intern, asking high-quality questions is one of the most important ways to learn quickly, make progress on your project, and build strong relationships with your team. But not all questions are equal—there’s a right way to do this that can significantly increase your chances of getting a return offer. Here are the core points from the lesson:

- There’s a sweet spot between asking too few questions (and struggling in silence) and asking too many low-effort ones (which can burden your team). Most struggling interns fall on the “not asking enough” side
- Every question is a chance to build trust and relationships. They help others evaluate your growth and give you valuable feedback—so don’t underestimate their importance
- High-quality questions include just enough context (like screenshots or code snippets), are well-structured, and are ideally asked in public forums like Slack channels to benefit others too
- Avoid “leading hellos” (e.g. *“Hey, got a sec?”*). Instead, ask your question directly in the first message to reduce unnecessary back-and-forth and show respect for others’ time

Take the full question asking course here: [Ask Great Questions That Get Great Answers Quickly](https://www.jointaro.com/course/ask-great-questions-that-get-great-answers-quickly/)

SWE Internship Survival Guide [Part 6] - Onboard Efficiently

Onboarding efficiently is one of the most critical phases of your internship. Here are the core points from this lesson:

- Embrace being new—ask questions early and often, seek feedback, and don’t waste time being stuck on problems for longer than an hour
- Prioritize setting up your environment and making small code changes early to learn workflows and gain confidence
- Build relationships immediately: meet with your intern manager and schedule one-on-ones with at least two other teammates for broader support and perspective
- The sooner you engage and request help, the more value you’ll get from the relationship—and the less it will feel awkward or overdue later in the internship

Take the full onboarding course here: [The Complete Onboarding Guide For Software Engineers](https://www.jointaro.com/course/the-complete-onboarding-guide-for-software-engineers-succeeding-when-youre-new/)

"Is Taro hiring?" - 8/18/2022

If you're searching for a job, check out [our in-depth video on how Taro can help you do just that](https://link.jointaro.com/e5Swdksn8886KrQs9).

- **Not right now, but hopefully soon** - We want to make sure that when we do hire a full-time employee, we treat them very well and pay them top-of-market. We also want to make sure we're running as stable a ship as possible, especially in this economy - We don't want to hire someone just to lay them off within a year. This requires a lot of capital, more than we have with just the YC investment.
- We're raising our seed round now, and if this goes well, we should be able to hire a full-time engineer, maybe 2.
- Our dream is to turn Taro into a huge, financially sound company and then hire folks who have been supporting us for a long time, all the way back to the Tech Career Growth days.
- If you want to help, continue using Taro, letting us know how we can improve, and sharing the app with your friends and colleagues! The more we grow, the faster we can scale up Taro and achieve our vision of empowering every software engineer in the world to be happier and more effective in their careers.

Finding The Best Environment For Learning

True or false: The best way to level up is to join a team where you are the absolute strongest and know more than everybody. This way, you will get made the lead by default.

Why is it good to be the dumbest person in the room?

How can you really level up your skills building within a tech stack you are already familiar with?

The best environment for learning as a software engineer is one where you can get feedback and grow each day.

Why Time Is The Most Important Resource In The Tech Industry

Which one of these is a crucial skill working in a top tech company?

True or false: Time is an overpowered, often underappreciated resource.

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.