Ace Your Tech Interview As A Software Engineer [Part 20] - Automated Coding Screen

Tech companies are trying to rely more and more on robots to screen software engineer job candidates out. This lesson teaches you:

- When automated coding screens appear
- What to expect when you get an automated coding screen like HackerRank
- Whether you should do automated coding screens

Ace Your Tech Interview As A Software Engineer [Part 19] - Take Home Assignments

Take home assignments are one of the most brutal screening mechanisms tech companies use to filter out software engineer job candidates. This lesson teaches you:

- Why take homes are horrible
- How to skip take homes as much as you can
- A framework you can use to figure out whether or not you should do a take home

If you have no other option but to do a take-home, follow these resources:

- ["How do I make software less overwhelming?"](https://www.jointaro.com/question/YseMPDw538jhyS1MWlTs/how-do-i-make-software-less-overwhelming/)
- ["How Long to Complete Take-Home Assignment II"](https://www.jointaro.com/question/7PfT1CWSY0Dd1jiLYTou/how-long-to-complete-take-home-assignment-ii/)
- [\[Course\] Level Up Your Code Quality As A Software Engineer](https://www.jointaro.com/course/level-up-your-code-quality-as-a-software-engineer/)

Taro Book Club - The Fundamentals of Data Engineering - Chapter 3: Designing Good Data Architecture

Discussion led by [Gideon Blinick](https://www.linkedin.com/in/gideonblinick/)\
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In this session, we'll discuss Chapter 3 (Designing Good Data Architecture) of [**"The Fundamentals Of Data Engineering"**](https://drive.google.com/file/d/1ZM6Wf-uyFjO5TXFGF8vIaVKi4XEhAeYf/view?usp=drive_link).

How do you do good Data Architecture? Wouldn’t it be great if there were principles you could follow? Well, there are! Google has 5 in their Principles for Cloud-Native Architecture. Amazon has 6 in their AWS Well-Architected Framework. But I’m here to tell you that there are 9.

This is a great chapter for those interested in System Design!

Check out #taro-bookclub in the [**Taro Premium**](https://www.jointaro.com/membership/) Slack for more details.\
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Event link: <https://www.jointaro.com/event/taro-book-club-the-fundamentals-of-data-engineering-chapter-3-designing-good-data-architecture/>

Taro Book Club: Designing Data Intensive Applications - Chapter 1

Discussion led by: [**Ankur Agrawal**](https://www.linkedin.com/in/erankuragr/) & [**Raj Shah**](https://www.linkedin.com/in/therajshah/)\
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In this #taro-bookclub discussion, we'll go over Chapter 1 of the book [**"Designing Data-Intensive Applications"**](https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321) by Martin Kleppmann. This chapter is about Reliable, Scalable, and Maintainable Applications and will provide good mental models to think about reliability, scalability and maintainability of Distributed Data Systems.

Here's the agenda:

- We’ll break down and discuss the key concepts from Chapter 1.
- There will also be time for any questions and answers you might have.

Get ready for our first session on this engaging and informative book!

We hope to see you for Chapter 2 as well: [**Taro Book Club: Designing Data Intensive Applications - Chapter 2 (Data Models and Query Languages)**](https://www.jointaro.com/event/taro-book-club-designing-data-intensive-applications-chapter-2-data-models-and-query-languages/)

If you don't have a Taro Premium membership, you can get it at a discount with Ankur's special link here: [**https://www.jointaro.com/r/eventu507/**](https://www.jointaro.com/r/eventu507/)

Paper Reading: AlphaGeometry: Advancing Automated Reasoning in Olympiad-Level Geometry

Paper Discussion led by [Lucia Mocz](https://www.linkedin.com/in/lucia-mocz-ph-d-35a98a1b6/)

Solving mathematical problems at the Olympiad level is incredibly difficult, requiring advanced problem-solving skills, a deep understanding of mathematical principles, and the ability to think critically and creatively under pressure. Those who excel in Olympiad-level problem solving usually have exceptional talent, undergo extensive preparation, and possess a unique problem-solving mindset. Achieving human-level automated reasoning in mathematical theorem proving, especially when competing with top performers, is a significant milestone in artificial intelligence research.

In this paper reading session, we introduce AlphaGeometry, a groundbreaking theorem prover tailored for Euclidean plane geometry. Unlike traditional methods that rely on human demonstrations, AlphaGeometry autonomously synthesizes millions of theorems and proofs across various complexities without human intervention. By combining a neural language model trained on vast synthetic data with a symbolic deduction engine, AlphaGeometry employs a neuro-symbolic approach to navigate intricate problem spaces. Notably, AlphaGeometry generates human-readable proofs and has successfully tackled challenging problems from previous International Mathematical Olympiads, even discovering new generalizations of established theorems.

Whether you're an AI researcher, engineer, or simply curious about this achievement in AI research, join us as we explore the intricacies of AlphaGeometry and its potential implications for automated reasoning in mathematics.\
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Paper: [**https://www.nature.com/articles/s41586-023-06747-5**](https://www.nature.com/articles/s41586-023-06747-5)\
Event Link: <https://www.jointaro.com/event/paper-reading-alphageometry-advancing-automated-reasoning-in-olympiad-level-geometry/>

Blog: [**https://deepmind.google/discover/blog/alphageometry-an-olympiad-level-ai-system-for-geometry/**](https://deepmind.google/discover/blog/alphageometry-an-olympiad-level-ai-system-for-geometry/)

GitHub: [**https://github.com/google-deepmind/alphageometry**](https://github.com/google-deepmind/alphageometry)

Conclusion: The Ultimate Guide To Navigating A PIP

Thanks for being part of this course! Here are the main takeaways: 

- A PIP **does not** mean your career is over
- Make it easy to receive feedback
- You should (probably) start looking for a new job
- Don’t over-share information

Follow-ups:

- Share + get support: [joinTaro.com/questions/create/](http://joinTaro.com/questions/create/)

- Find community: [joinTaro.com/events/](http://joinTaro.com/events/)

- Discussions:

  - [I have been put in PIP. What should I do?](https://www.jointaro.com/question/i2RqeCiAQJ04eU1rp0eQ/i-have-been-put-in-pip-what-should-i-do/)

  - [Bouncing back after termination](https://www.jointaro.com/question/iDARmEmqYKlCIhzKIMNh/bouncing-back-after-termination-what-can-i-do-to-move-forward/)

  - [Advice on PIP with unsupportive team?](https://www.jointaro.com/question/93GBTJ73ayNLPY0sLuHz/advice-on-pip-with-unsupportive-team/)

Send your feedback to team+pip@jointaro.com

Meta Manager Case Study: The Ultimate Guide To Navigating A PIP

This was an Engineering Manager at Meta who has put 20+ employees on PIPs throughout their career.

- PIPs come from a mismatch of a “square peg, round hole”

- PIPs should never be a surprise. PIPs get discussed with the skip manager and HR

- Designed to be achievable with effort

- Across 20+ PIPs, has never had anyone continue employment

- **Advice**: “Clarity is more important than agreement”

MongoDB Manager Case Study: The Ultimate Guide To Navigating A PIP

This was a manager at MongoDB who shared a specific story of putting one of their employees on a PIP.

- PIP delivered to people who needed a lot of handholding

  - “Problem presenters” instead of “problem solvers”

- PIPs are hard but not impossible. Goal is to help the employee overcome the situation and contribute to the health of the team.

- **Advice**: “Understand every single word in the PIP”

Meta Case Study: The Ultimate Guide To Navigating A PIP

This was a veteran engineer with more than 15 years of experience at other large tech companies before joining Meta.

- **Before**: Hired in as Staff Engineer \[**E6**\], brought in as a domain expert. Worked for almost 2 years before the PIP

- **During**: Not surprised based on rating trends. Main issue was code productivity, inability to use tooling such as version control

- **After**: Struggled with the PIP for a few months, then negotiated a severance package

Joining a company at too high a level is not good

If an employee's performance is subpar, it's better to act on that early, both for the employee and the team.

At a high level, your job is to lead the team and teach others. It’s ok if you don’t know the tooling, but you should not let that get in the way of landing code. Code output was poor.

Quitting a PIP: The Ultimate Guide To Navigating A PIP

You got the PIP, and you made the difficult (or maybe not-so-difficult) decision to quit. You’ll soon be off to greener pastures, but there is a strategy around leaving the company that is critical to get right.

Once you've decided to leave your company, your priority should shift to optimizing your professional and financial prospects. Most companies will provide a severance package to employees who are laid off or terminated. A severance package is the *compensation that an employee receives when they leave a company*.

While companies may care (at least a tiny bit) about the well-being of their employees, generosity is **not** the primary reason that businesses provide severance. In exchange for severance, companies will require you to sign certain documents to protect the business:

- **Non-disparagement** so you agree not to speak poorly about the company in public. The company protects their business interests by maintaining relationships and reputation.
- **Invention assignment** so there is no theft of intellectual property (IP) or source code.
- **Other agreements** such as not suing the company or not poaching employees for a set amount of time.

The Human Resources (HR) team will want your agreement on these terms, which means **you have leverage**. The asks from these companies are not too onerous, which means it doesn't cost much to agree -- very few employees end up suing their former employer anyway.

### Severance checklist

Here is the "severance checklist", the most common dimensions on which you can negotiate:

- Salary

- Health insurance (COBRA payments)

- Last day of employment

- Equity vesting acceleration

- Outplacement services

Remember, **you only get what you ask for**. Since you're on your way out anyway, it's fine to get rejected when asking for more. If you express your concern and headache from the termination ("*I just moved my family here from out of state*"), companies are often willing to meet you halfway for things like:

- Your last day of employment
- Extending and paying for health insurance for several additional months
- Accelerating the next vesting date by a few weeks

Finally, we present a "goodbye checklist":

- Contact info for relevant colleagues

- How will this be communicated to the team?

- What will your employer disclose to a future employer?

- What’s the “cooldown period”?

**Relevant links**:

- [The Key Insight Behind Negotiation](https://www.jointaro.com/lesson/YliP9kVbd1zym9kmv9Gg/the-key-insight-behind-negotiation/)
- [\[Masterclass\] Understanding And Optimizing Your Pay In Tech](https://www.jointaro.com/lesson/gk408yBIV2fa5RjVR213/masterclass-understanding-and-optimizing-your-pay-in-tech/)
- [Amazon VP talks about negotiating a severance package](https://www.linkedin.com/feed/update/urn:li:activity:7161390728533741568/)

**Discussions**:

- [Does severance package get reduced in subsequent rounds of layoffs?](https://www.jointaro.com/question/FIFJWOVz2ILICZ0dOLqy/does-severance-package-get-reduced-in-subsequent-rounds-of-layoffs/)
- [Severance in companies tied to tenure?](https://www.jointaro.com/question/9nzrgmga50Dn0UEIH6Ad/severance-in-companies-tied-to-tenure/?revalidate=true)

Reactions After A PIP: The Ultimate Guide To Navigating A PIP

If you received a PIP, be ok with a flood of emotion. Anger, sadness, and humiliation are normal, and you should give yourself at **least half a day** simply to process. Don’t take any action erratically. 

Once you’ve had time to process, confide in a mentor or trusted friend. Online communities like Taro can help you feel less lonely. You should **not** over-share this information with your colleagues. There is a negative bias associated with a PIP, so sharing the news with people who don’t truly care about you may end up backfiring. 

Do ✅:

- Confide in a mentor or trusted friend
- Find a community (like Taro!)

Don't ❌:

- Act from a place of emotional instability
- Over-share with colleagues

A PIP is not entirely your fault, but it's also not entirely your company's fault. Do some honest reflection about what has been working and what has not.

Some recipients of a PIP are (understandably) outraged and want to take take legal action. In theory, you could sue the company, but in practice is almost never recommended. Given that employment is “at-will”, you’ll need ot clear a very high bar to show that you were unlawfully targeted to be let go or put on a PIP. In addition, to collect evidence of unfair treatment which could take dozens of hours, there’s also a high cost associated with finding legal assistance. Ou recommendation is to focus your energy on the next career move, where you can work with people that value you, rather than focusing on an unfortunate job that will soon be in your past.

Paper Reading Session: Simple Testing Can Prevent Most Critical Failures

In this session, we will be discussing this paper titled "[**Simple Testing Can Prevent Most Critical Failures: An Analysis of Production Failures in Distributed Data-Intensive Systems**](https://www.usenix.org/system/files/conference/osdi14/osdi14-paper-yuan.pdf)".

Large, production quality distributed systems still fail periodically, and do so sometimes catastrophically, where most or all users experience an outage or data loss. This paper presents the result of a comprehensive study investigating 198 randomly selected, user-reported failures that occurred on Cassandra, HBase, Hadoop Distributed File System (HDFS), Hadoop MapReduce, and Redis, with the goal of understanding how one or multiple faults eventually evolve into a user-visible failure and how simple testing can prevent majority of them.

Presented by [Sudhi Awasthi](https://www.jointaro.com/p/sudhi-awasthi/), an engineer working at Bloomberg. Connect with her on LinkedIn: <https://www.linkedin.com/in/sudhiawasthi/>.

Here's How To Identify A Superstar Leader

[**Ethan Evans**](https://www.linkedin.com/in/ethanevansvp/) is a retired Amazon VP who led teams of up to 800. Here are his two criteria to see your manager is worth working for.

**1\. Investing in people:**

- Look for a manager with a track record of **growing and promoting their team members**.
- Signs of this include:
  - Do reports of your manager often get promoted or take on higher responsibilities?
  - Does your manager actively create opportunities for your development and growth?
  - Does your manager provide good mentorship and guidance?
  - Managers with a loyal following strongly indicate their leadership qualities.

**2\. Personal trajectory:**

- Assess your manager's **career progression**.
- Look for:
  - Consistent upward movement and promotions.
  - A history of exceeding expectations and taking on greater challenges.
  - Faster-than-average advancement compared to peers.

**Reasoning:**

- A manager who invests in their people will more likely create a supportive and growth-oriented environment for you.
- A manager on a consistent upward trajectory signifies their competence and ability, potentially opening doors for their team's growth as well.

Explore more: 

- [Turning the Spotlight on Unsung Efforts: How to Be Perceived as Important and Impactful?](https://www.jointaro.com/question/G91Qd0GbID5AtnRbfGJE/turning-the-spotlight-on-unsung-efforts-how-to-be-perceived-as-important-and-impactful/)
- [How to manage a team towards high performance?](https://www.jointaro.com/question/O8vtGxsrwZebiSSlOlRd/how-to-manage-a-team-towards-high-performance/)
- [**\[Taro Top 10\] Software Engineer To Engineering Manager (IC -&gt; M Track)**](https://www.jointaro.com/playlist/oz0mnJvHHgM8NfVF7rgp/)

Are Big Tech Incubation Labs Good Preparation For Being A Startup Founder?

Many companies will have a skunkworks or incubation division. Meta has **New Product Experimentation (NPE)**, Google has **Area 120**, and companies like Apple, Microsoft, Oracle, and others all have toy projects. 

Despite being branded as a “startup within a big company”, there are some important differences to keep in mind between these roles and real entrepreneurship: 
- Apps launched within larger companies have a huge unfair advantage in being able to leverage the parent company’s distribution channels. 
- There’s not as much urgency or risk in these divisions since, even if the app fails, the staff will just get reallocated to other parts of the company.
- Most of these projects eventually get killed by the parent company since they’re looking for multi-billion dollar market opportunities.

Connect with [Eric](https://www.linkedin.com/in/ericbahn/)

The 3 Core Performance Review System Archetypes

- 3 archetypes:
  - Ad-hoc spaghetti (small companies): No ratings, no recurring timeline, no formal process to get feedback
  - Manager determines all (traditional companies): Manager determines 90%+ of your rating. Used by most companies.
  - **360 feedback** (modern, mature companies): Get feedback from all directions.
- 360 feedback is the best system, and it's used by pretty much all the top companies like Meta and Google.

Understanding ESPP - 85k Salary Example

This segment breaks down a numerical example of how **Employee Stock Purchase Plans (ESPPs)** work in practice. While ESPPs may offer modest financial gains, they remain a valuable benefit—especially at companies that don't provide RSUs.

- **Basic Example:** With an $85,000 base salary, contributing the maximum 10% ($8,500) into an ESPP with a 15% discount allows purchase of 100 shares at $85/share when market price is $100/share—equating to $10,000 worth of stock.
- **Annual Gain:** This results in an immediate $1,500 gain, illustrating the perk's effective “free money” nature through discounted stock purchasing.
- **Complex Structure:** Though ESPPs involve layers such as salary withholding, fund accumulation, and exercise schedules, the benefit is relatively straightforward once broken down.
- **Limited Upside:** Because ESPPs are tied to salary and offer a modest discount, the overall financial impact is smaller than RSUs—yet still meaningful.
- **Prevalence at Non-Big Tech Companies:** Many companies, particularly outside top-tier tech, offer ESPPs instead of RSUs. For example, PayPal provided only ESPP (no RSUs) to new grads eight years ago.

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 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/>

Improve

In the Improve phase, we focus on **deploying resources and initiatives** that shift our input metrics in the right direction, knowing that this in turn drives our desired output results. Improvement at Amazon has always been a cycle of innovation, experimentation, and rigorous measurement.

### Key Takeaways:

- **We prioritize inputs to drive results**: We align our teams, projects, and resources around improving leading indicators—our input metrics—which ultimately influence lagging outputs like sales and customer retention.
- **Click to Deliver Time became a key input metric**: We tracked every step of the fulfillment process and launched targeted initiatives to speed up delivery, knowing it directly impacted customer satisfaction and engagement.
- **We scaled operations through iterative improvements**: Over two decades, we grew our global delivery infrastructure—fulfillment centers, delivery stations, air cargo, and driver networks—through thousands of iterative changes, many of which were experiments that included both successes and failures.
- **We formalized improvement with the Working Backwards PR/FAQ process**: This mechanism ensures we innovate from customer needs, forcing teams to start with a press release and FAQ to define how a proposed improvement solves real problems.
- **Improvement and analysis form a feedback loop**: Every improvement is followed by measurement and analysis. This iterative cycle lets us reinforce what works and eliminate what doesn’t, ensuring continuous refinement of our systems.

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/>

Intro To Input Metrics

In this lesson, we explore what input metrics are, why they matter, and how shifting our focus from outputs to controllable inputs transformed the way we operated at Amazon. We learned—sometimes the hard way—that sustainable success comes not from chasing end results, but from rigorously managing the elements we directly control.

### Key Takeaways:

- **We learned to distinguish between input and output metrics**: Outputs like revenue or share price are lagging indicators and largely outside our direct control. In contrast, input metrics—customer-facing and operational—are controllable levers that drive those outputs.
- **We saw the importance of focusing on controllable inputs**: By investing resources in areas like software, marketing, operations, or process improvements, we influenced outcomes in a predictable and sustainable way. Examples include inventory record accuracy and marketing spend.
- **We realized the limitations of reactive output chasing**: Trying to salvage quarterly financials with last-minute promotions often distracted us from what truly mattered—improving the customer experience.
- **We began managing our business as a system of processes**: We stopped reacting to fire drills and started proactively measuring and optimizing the activities (inputs) that lead to better long-term results.
- **We gained a competitive edge through disciplined input tracking**: While most teams naturally measure outputs, few rigorously track inputs. By doing so, we developed a significant operational advantage that helped Amazon scale sustainably.

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/>

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.