Maximizing a Severance Package 7/9 - Common Asks and Gives

- Connect with [Ethan on LinkedIn](https://www.linkedin.com/in/ethanevansvp/)
- Taro members get a discount to join [**Ethan's Level Up community**](https://levelupwithethanevans.substack.com/taro25)

[Timeless Career Advice] What to Learn

[Timeless Career Advice] One on Ones

[Timeless Career Advice] Compounding Engineers vs Detractors

[Timeless Career Advice] What Do Software Engineers Do?

Become An Engineer Influencer [Part 2] - Michael's Backstory

Michael saw the transformative power of influence after he left his job at Netflix. This video reveals the new opportunities enabled by cultivating an audience. Michael talks about which platforms he grew on, among Medium, LinkedIn, Twitter, a newsletter, and more.

Connect with Michael:

- LinkedIn: <https://www.linkedin.com/in/michael-lin-tech/>
- Twitter: [https://x.com/\_michaellin](https://x.com/%5C_michaellin)
- Newsletter: <https://www.michaellinwrites.com/>

Write A Stellar Resume As A Software Engineer [Part 11] - Self Ratings

There's tremendous pressure to stand out with your resume as a software engineer, especially as you usually need to beat out 100+ or even 1000+ other engineers to get an interview opportunity. This lesson teaches you:

- Why self ratings don't add any value to a resume
- The dangers behind self ratings on a resume, particularly with more junior engineers

Paper Reading: MyRocks: LSM-Tree Database Storage Engine Serving Facebook's Social Graph

Session led by [Dharin Shah](https://www.linkedin.com/in/dharinshah/)

**Event description**

Facebook uses MySQL to manage tens of petabytes of data in its main database named the User Database (UDB). UDB serves social activities such as likes, comments, and shares. In the past, Facebook used InnoDB, a B+Tree based storage engine as the backend. The challenge was to find an index structure using less space and write amplification.

LSM-tree has the potential to greatly improve these two bottlenecks. RocksDB, an LSM tree-based key/value store was already widely used in variety of applications but had a very low-level key-value interface. To overcome these limitations, MyRocks, a new MySQL storage engine, was built on top of RocksDB by adding relational capabilities. With MyRocks, using the RocksDB API, significant efficiency gains were achieved while still benefiting from all the MySQL features and tools. The transition was mostly transparent to client applications.

The paper was published at the **International Conference on Very Large Databases (VLDB)**: [**https://research.facebook.com/publications/myrocks-lsm-tree-database-storage-engine-serving-facebooks-social-graph/**](https://research.facebook.com/publications/myrocks-lsm-tree-database-storage-engine-serving-facebooks-social-graph/).

Paper authors:

- [**Yoshinori Matsunobu**](https://www.linkedin.com/in/yoshinorimatsunobu/)
- [**Siying Dong**](https://www.linkedin.com/in/siyingdong/)
- Herman Lee

Negotiation Course: Reneging An Offer

Backing out after accepting an offer (*"reneging on the offer"*) is unfortunate but happens more frequently than you think. Imagine that you accepted a job offer, but two weeks later, you finally get an offer from another company that is better in every way. What do you do?

First, prevention is the best cure: try to get all the offers around the same time.

If the timing mismatch is unavoidable, you should do what’s best for you: don’t worry too much about the company.

In the US, employment is at-will, so there’s nothing legally preventing you from joining. Of course, you may have to give back any kind of signing bonus.

There may be reputational damage: talk about why the opportunity is incredibly unique and you hope to work with them again. Reneging on a large company is not as big a deal compared to a startup.

Negotiation Course: Recruiter Case Study: Insights From An Ex-Meta Recruiter

This was a conversation with a recruiter who spent several years as a recruiter at Facebook (Meta) and Pinterest. 

- The tactic of *"I will sign the offer if you meet me here"* is **effective if it's sincere**. You should be prepared to explore/defend various options around other ways the company could compel you to sign the offer.
- Exploding offers are almost always fake. Recruiters know that "**time kills all deals**" so they want to close candidates quickly. However, as a candidate, you can and should push back on an arbitrary deadline. Ask why the timing constraint exists and share why you need more time.
- Be graceful when you turn down a company's job offer. This recruiter would frequently be able to hire candidates several years later who had received an offer if they kept the relationship alive.

Negotiation Course: Prefer Async Communication

Recruiters have much more information and practice with negotiation relative to job candidates. The pressure of a phone call and our desire to please others means that phone calls become dangerous places where engineers shoot themselves in the foot. Too many tech employees keep speaking on the phone call and end up revealing too much.

- Recruiters have orders of magnitude more knowledge about the job, the range of possible offers from the company, and even the range of possible offers are peer companies. 
- On the other hand, most job candidates have a handful of data points around their compensation could be, based on their past jobs and what their friends have told them.

This information asymmetry clearly favors the recruiter, who can read your emotions and take advantage of the knowledge gap to lowball you.

For that reason, you should prefer to eliminate phone calls or keep them short, and then be deliberate about your emails where you can craft the exact message you want to send. Async communication is also better for clarity and you can research on your own.

Negotiation Course: What's Best To Negotiate

As you think about what components in the offer to negotiate, you should consider: 

1. **Where do you have the most alignment with the company?** For example, reducing the "clawback period" for your signing bonus from 1 year to 3 months is unaligned since the company wants to incentivize you to stick around beyond 3 months. On the other hand, doubling your equity package is more aligned, since your comp will go up if the company does well.
2. **Where can the recruiter best help you?** Generally, a recruiter is powerless to adjust things like 401(k) match or performance bonuses since they're standardized across the company. However, recruiters are able to adjust salary or equity, especially if you are willing to make trade-offs between them.

Another dimension to consider is that equity is riskier than salary, so, therefore, it should translate to a higher potential reward. Stock options and RSUs fluctuate in value based on the market.

If you're ok with the risk tolerance, you are likely able to get more equity vs salary, e.g. increase your equity $20K/year vs salary $5K/year. This is an **obviously** good trade for a Big Tech (FAANG) company, which will have a fairly stable stock price.

Negotiation Course: When Should You Negotiate? And When Should You Not?

Negotiation makes the most sense for "high-leverage jobs" like software engineering or most other jobs in tech. An example of a low-leverage job would be to stock shelves in a grocery store or drive a taxi in NYC. The difference between the best and average worker in those fields is not that large. But in engineering, the difference in output for the best vs the average can easily be 10x or 100x.

Within the high-leverage category, there are jobs that have many comparable data points (e.g., junior or mid-level engineer) and those that are bespoke because they're rare/senior at the company, e.g., executive level or senior engineering leads.

Negotiation makes less sense for jobs that are purely stepping stones, or those that are time-bound. The classic example here is for internships. A good litmus test is if you know anyone who has ever negotiated that offer, e.g. no one at Stanford ever negotiated the summer research pay.

Finally, negotiation does not make sense if you already accepted the offer at a lower number.

Nail Your Promotion As A Software Engineer [Part 28] - This Might Not Be Enough

So many software engineers feel unfairly treated when it comes to their promotion, being stuck at the same level forever. And here's the thing - A lot of them are right! This lesson teaches you:

- The right mentality to have when it comes to deciding between doubling down and jumping ship
- The large career cost of switching teams, especially if you are changing companies in the process
- A framework to use when figuring out whether you should give up and change teams or continue plodding on and fighting for that promotion

Ace Your Tech Interview As A Software Engineer [Part 25] - Practical Coding

Practical interview coding rounds are the purest form of software engineering and what software engineers generally hope the interviews are (at least when they complain about data structures and algorithms problems online). This lesson teaches you:

- What a practical coding round is and when to expect it
- What kinds of companies give practical coding rounds
- How to prepare for practical coding rounds

To get the absolute best practice for practical coding rounds, check out our side projects playlist: [\[Taro Top 10\] Building Impressive Side Projects](https://www.jointaro.com/playlist/vKUWMgmmaEvzcYUXZs4B/)

Pinterest Case Study: The Ultimate Guide To Navigating A PIP

This was a non-engineer who had several years of experience before joining Pinterest.

- **Before**: 90 days after joining, was told they needed to improve

- **During**: “Completely blindsided” when placed on PIP at the 4 month mark. Goalposts kept shifting, didn’t receive feedback until 4 weeks later

- **After**: Took the termination after taking leave for interview prep

What is a PIP? The Ultimate Guide To Navigating A PIP

A PIP is a **Performance Improvement Plan**. A PIP covers specific areas of performance deficiencies and sets clear expectations for what needs to happen in the future to remain employed. Think about a PIP as an ultimatum, essentially telling the employee that "Something needs to change." The employee has been deemed (whether fairly or unfairly, as we’ll see) to be missing their targets.

The PIP will outline a plan to improve the employee’s performance, along with milestones to hit over 1-3 months. The manager will document instances where your performance was lacking, pulling in quotes from colleagues, individual code reviews, or emails you may have sent (or have not) sent. A PIP can feel like a personal attack: the manager will spend hours compiling an argument "against you", explaining why you're not meeting expectations.

We’ll talk about specific strategies to use if you’re on a PIP, but for now, just remember this: **You can still have an amazing career after a PIP.**

Being on a PIP is like being on an extended interview. You have all the anxiety and judgment from a high-pressure environment, but it's actually worse: instead of starting from neutral, you're starting with a negative perception. And a multi-month interview sounds terrible.

Employees on a PIP are not allowed to switch teams. The company has concerns about whether the employee can productively contribute to the company, so they want to avoid the chaos of allowing team switches. This is unfortunate because you may just have a really poor fit with your manager.

Because of the overhead involved with a PIP, generally only medium and large companies will issue them.

The Human Resources (HR) team is involved in every PIP, which is a bad sign. The main function of HR, if not the sole function, is to protect the company’s interests, not the employees’. Once HR gets involved, and the manager has started documenting gaps in the employee's performance, clearly that indicates that there’s been a loss of trust.

This course will cover 4 phases of the PIP lifecycle:

- Before the PIP (but perhaps in the danger zone)
- Receiving the PIP within the company and deciding what to do
- Case studies of Individual Contributors (ICs) who received PIPs, along with managers who have delivered PIPs
- After the PIP -- how to ensure you have a great career even if you received a PIP

Ask Me Anything (AMA) with a Senior Eng Director - Sanjay Siddhanti

[**Sanjay Siddhanti**](https://www.linkedin.com/in/sanjaysiddhanti/) is a Senior Director of Engineering at AKASA. After graduating from Stanford, he previously held engineering roles at Counsyl, Karius, and Flatiron Health.

Sanjay's background:

I'm the Senior Director of Engineering at AKASA. I joined AKASA in 2019 as one of the first employees when we were a seed-stage startup. I originally joined AKASA as an individual contributor, and quickly switched over to management. I built much of the company's early technology as an IC and later as a tech lead / manager. I also started and managed multiple engineering teams at the company, including Platform Engineering, now an org with 20 engineers.

Happy to answer questions about:

- How engineering leaders think about the role of Senior, Staff, and Principal ICs.
- How and why to transition from IC to management
- The differences between an Engineering Manager vs Engineering Director
- How to hire and retain great talent
- How to succeed in a startup environment.

Ethan Evans' Career Path: Startup Manager to Amazon VP

[Ethan Evans](https://www.linkedin.com/in/ethanevansvp/) is a retired Amazon VP. He shared his career journey starting out during the dot-com boom of the 1990s, quickly ascending as a manager at a string of startups.

**Early Career and Management Path:**

- Ethan started in management early, taking on a TPM role for a small project due to the team's need.
- He was drawn to leadership because the project lacked organization, focus, and communication.
- Ethan was supported by managers and encouraged to continue in the role. He progressed through several startups, growing in each one and reaching VP level by the third.

**Joining Amazon:**

- Ethan was a "fake" startup VP before going getting downleveled as a manager at Amazon, and it took years for him to return to a true VP role, managing a team of 800 people.
- The startup he was at was failing, and Amazon offered more compensation despite being giving a worse title.
- He initially managed a team of six at Amazon, which eventually grew to 800. 

Ethan credits his rapid ascent to:

- Seeing problems and proactively solving them.
- Taking initiative and asking for more responsibility.
- Curiosity and motivation to understand the bigger picture.

More to explore: 

- [\[Taro Top 10\] Software Engineer To Engineering Manager (IC -&gt; M Track)](https://www.jointaro.com/playlist/oz0mnJvHHgM8NfVF7rgp/)
- [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/)
- [How much am I hurting my career by staying at a startup? (Pressure to work for big tech)](https://www.jointaro.com/question/dqCvmYhI9WE0k33orZEP/how-much-am-i-hurting-my-career-by-staying-at-a-startup-pressure-to-work-for-big-tech/)

Demystifying LLM Benchmarks -- How To Compare Large Language Models?

In the recent launch of Google's Large Language Model (LLM) Gemini, Google claimed that "Gemini beats human level performance on MMLU" but you might be wondering:

- What are the different evaulation criteria? Massive Multitask Language Understanding (**MMLU**)? General Language Understanding Evaluation (**GLUE**)? **HumanEval**?
- How can we know which model is good at coding tasks?
- What is considered "human-level performance"?
- How do they actually get the results for these benchmarks?

In this talk, Sai breaks down all the benchmarks you need to know to be better informed when papers claim to beat benchmarks.

The next paper reading session is on January 8 at 5pm: [**https://www.jointaro.com/event/paper-reading-group-4-mistral-7b/**](https://www.jointaro.com/event/paper-reading-group-4-mistral-7b/)

**Your host:**

[**Sai Shreyas Bhavanasi**](https://www.linkedin.com/in/b-sai/) has worked in Computer Vision and Reinforcement Learning and published 2 first-author papers. He has also worked as an MLE and Data Analyst.

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.