Become An Engineer Influencer [Part 7] - Mid-Funnel Channels

Just A Cog In The Machine

Although Big Tech offers compensation and prestige, the sheer scale of these organizations can lead engineers to feel like small cogs in an enormous machine. The work often becomes highly specialized and incremental, making it harder to find personal fulfillment or a sense of ownership.

- **Incremental Work Dominates**: Many engineers are tasked with refining already hyper-optimized features, such as tweaking a single call-to-action button on an ad format. This kind of work can feel repetitive and lacking in creative fulfillment.
- **Limited Ownership**: As teams grow larger, individual engineers may end up owning only a sliver of a product component—sometimes just one platform’s implementation of a single UI element.
- **Slower Innovation in Mature Products**: Legacy systems and products that have been around for over a decade (like Gmail) may offer fewer opportunities for impactful changes, making it harder to grow scope or gain recognition.
- **High Competition for Scope**: Even when surrounded by brilliant engineers, opportunities for meaningful ownership can be scarce. This leads to competition over small improvements and sometimes a struggle to stand out.
- **Pockets of Growth Still Exist**: Certain high-growth teams such as those working on newer initiatives like AI or experimental products can still offer dynamic, zero-to-one opportunities. Success often depends on finding and joining these pockets within the broader organization.

He Bought Coffee For ALL Meta Employees On His Last Day

Maximize Your Equity And Benefits In Tech [Part 10] - Strategy (ESPP)

ESPPs can offer significant value, but deciding when to sell requires more nuance than it may seem at first glance. Here are the core points from the lesson:

- If there’s no holding period requirement, selling immediately after purchase can yield guaranteed gains, especially with discounts and lookback provisions
- Holding ESPP shares introduces market risk and complexity, and your decision should reflect whether you’d buy the stock outright if given the equivalent in cash
- A holding period aligned with qualified disposition rules may offer better tax treatment—but not always; in some cases, a disqualifying disposition results in lower overall tax
- When stock declines during the offering but rebounds before sale, the tax owed under a qualified disposition may be higher due to how ordinary income is calculated from the offering price rather than purchase price

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/)

Philip's Biggest Concern: The Future Of Work

How Engineering Managers Are Evaluated

In this lesson, we walk through how managers are evaluated, what “meeting” versus “exceeding” expectations looks like, and how we as ICs can help them succeed, which in turn helps us.

- We emphasize that a manager’s core responsibility is delivering team impact—not promotions, not firing—so our goal is to help them maximize that impact.
- We learn that strong managers are influential: they build relationships, earn trust, and can meaningfully sway decisions both across and above the team.
- We outline “managing down,” which includes recruiting top engineers, retaining high performers, setting priorities, enabling growth, and dealing directly with low performers through feedback, PIPs, or transitions.
- We highlight the importance of retention as a key evaluation metric—if everyone wants to leave a manager’s team, leadership sees that as a failure.
- We explore “managing up,” where managers frequently provide updates to directors/VPs, take ownership of escalations, and proactively communicate timelines, issues, and product health to leadership.

Round Structure ML System Design

In this segment, we’re introduced to one of the most critical and career-defining parts of the ML interview process: **system design**. Especially at senior and staff levels, this round reveals our ability to lead and think holistically.

- **System design interviews evaluate both breadth and depth**—we’re expected to understand the full ML pipeline from data ingestion to deployment and monitoring.
- This round is less about solving isolated problems and more about **architecting end-to-end solutions** that operate under real-world constraints.
- We must demonstrate our ability to **make trade-offs** involving scalability, latency, noisy data, evolving product requirements, and long-term maintenance.
- Strong performance here often **distinguishes mid-level candidates from senior or leadership-level hires**.
- Ultimately, it’s our chance to show that we can **design ML systems that work, scale, and deliver value in production—not just in theory**.

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/>

How Managers Hire Great Engineers [Part 17] - Push & Pull Factors

It's hard convincing great engineers to leave their current jobs. From this lesson, you will:

- Understand the importance of increasing your candidate acceptance rate, which can significantly reduce workload throughout the recruitment funnel
- Learn how to identify and leverage push and pull factors that influence a candidate's decision to leave their current role or join your company
- Discover the value of tailoring your closing approach to individual candidate motivations to enhance offer acceptance rates
- Gain insights into conducting honest Q&A sessions during the closing call to ensure a good fit, thereby increasing long-term retention on your team

Connect with John Egan on LinkedIn: <https://www.linkedin.com/in/jwegan/>

Become An Engineer Influencer [Part 14] - Tips on Writing

"What is the growth plan for Taro Premium?" - 8/18/2022

There are 2 core areas at play here:
1. Empowering Taro Premium members to share their diverse wealth of perspectives and wisdom
2. Tactical areas of improvement

**Communal Sharing**
- Right now, Rahul and I are doing the thing that doesn't scale in true startup fashion: Providing the vast majority of career guidance ourselves.
- However, not only does this not scale, we firmly believe that this isn't the right thing to do long term: Our perspectives are only 2 out of millions of incredible people working in tech.
- Let me be frank: While we've had a diverse range of experience and pushed to understand as many angles of the tech scene as possible, our perspective is narrow. We've only worked in the Silicon Valley. We're around the same age. We spent the lion's share of our careers working at Meta. We're both Asian men. Because of this, there's a lot of stuff we don't know and aren't well equipped to talk about.
- This is where the community comes in. At the time of release of this video, we have ~170 members in Taro Premium, and I've been blown away by the diversity of backgrounds present. If we can enable, reward, and empower all these incredible folks in tech to share their perspectives and help one another, we can create what is truly the greatest repository of tech career advice on Earth.

**Tactical Stuff**
- Our main priority right now is opening up the Q&A career advice platform, so that all members of Taro Premium can easily ask and answer questions.
- While this was recently made possible, there's still a lot lacking. There's no notifications to know when your question has been answered, and we all know that the UI/UX has a ton of room for improvement, especially on web.
- We're working with a contract designer right now to completely overhaul the look and feel of the Taro web app.
- Another thing we want to figure out is member matching. For now, we're mainly matching folks of similar level as the incentives get wonky when you pair folks of different levels. However, this "algorithm" is still quite naive, and we have a long way to go before we can sustainably have folks network with one another in a way where all parties feel like they got value.

Can A Company Demand High Performance AND Allow Learning?

How Managers Hire Great Engineers [Part 11] - Meetups and Conferences

When it comes to relationship building, you simply cannot beat in-person interaction. From this lesson, you will:

- Understand the value of making personal connections at meetups and conferences to stand out from the noise of digital outreach
- Learn strategies for building a network by engaging with people at events, collecting their contact information for future outreach
- Discover how creating and hosting your own events can establish your brand as a company and attract potential candidates
- Realize the benefits of long-term recruitment through sustained relationships with event attendees and speakers
- Explore how relationships with speakers at your events can evolve into hiring opportunities for top talent in the future

Connect with John Egan on LinkedIn: <https://www.linkedin.com/in/jwegan/>

Paper Reading - Gemini: A Family of Highly Capable Multimodal Models

Paper Discussion led by: [Akshika Wijesundara PhD](https://www.linkedin.com/in/akshika/)

Abstract: Google researchers recently unveiled Gemini, a ground breaking family of multimodal AI models capable of understanding and reasoning across images, audio, video, and text. The largest Gemini model, Ultra, achieved human-expert performance on several benchmarks and advanced the state of the art across a range of multimodal tasks.

In this paper reading, we will discuss key details from Google's paper introducing Gemini models. Topics will include:

- The Gemini model architectures and how they achieve cross-modal understanding
- Performance benchmarks and state-of-the-art results across text, image, audio, and video tasks
- Applications and use cases enabled by Gemini's multimodal reasoning
- Approaches to responsible deployment of large language models like Gemini

This paper provides a comprehensive overview of the exciting new capabilities of Google's Gemini project. Whether you're an AI researcher, engineer, or simply curious about the state of the art in multimodal AI, join us for an in-depth look at this new model family.\
\
Paper link: [**https://arxiv.org/abs/2312.11805**](https://arxiv.org/abs/2312.11805)\
Event link:  **[https://www.jointaro.com/event/paper-reading-gemini-a-family-of-highly-capable-multimodal-models/](https://www.jointaro.com/event/paper-reading-gemini-a-family-of-highly-capable-multimodal-models/)**

Taro Book Club: Designing Data Intensive Applications - Chapter 3

Topic: Chapter 3 - Storage and Retrieval

In this #taro-bookclub discussion, we talk about Chapter 3 of [**"Designing Data-Intensive Applications"**](https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321) by Martin Kleppmann.

Here's the agenda:

- Let’s get to know each other with some quick introductions.
- We’ll break down and discuss the key concepts from Chapter 3.
- There will also be time for any questions and answers you might have.

Thanks to [**Suraj Singh**](https://www.linkedin.com/in/suraj-singh-495b192b/) and [**Sangavi Pari**](https://www.linkedin.com/in/sangavi-pari/) for leading this session!

Maximize Your Equity And Benefits In Tech [Part 17] - 401(k) And IRA Basics

Understanding retirement accounts is essential for long-term financial planning. Here’s the core points from the lesson:

- 401(k)s allow automated payroll contributions (up to $23,500 in 2025 for those under 50), often include employer matching, and offer pre-tax or Roth contribution options
- Contributions reduce taxable income but are still subject to payroll taxes like Social Security and Medicare
- IRAs (individual retirement arrangements) are similar to 401(k)s but are personally managed, have lower contribution limits, and don’t include employer matching
- IRA contributions may be tax-deductible or Roth-eligible depending on your income, unlike 401(k)s which have no income-based restrictions for pre-tax contributions

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/)

Amazon Behavioral Interview [Part 17] - Handling Unclear Expectations From Leadership (Answer)

This video segment describes a situation where the interviewee faced conflicting demands from leadership: the need to drive customer satisfaction and improve resolution times while also maintaining employee engagement and retention.

Here are the key takeaways:

- **Identified the Conflict:** The interviewee recognized the conflicting demands from leadership regarding customer satisfaction metrics and employee well-being, particularly during a challenging period with COVID-19.
- **Navigated the Challenges:**
  - **Open Communication:** They fostered open communication with their team, actively seeking feedback and addressing concerns.
  - **Prioritized Employee Well-being:** Despite the pressure to meet performance metrics, they prioritized employee well-being by:
    - Implementing measures to reduce stress, such as virtual happy hours and flexible work arrangements.
    - Actively listening to employee feedback and addressing their concerns.
  - **Balanced Priorities:** They successfully navigated the competing demands by finding a balance between meeting performance targets and maintaining employee morale.
- **Demonstrated Leadership:** The interviewee demonstrated strong leadership by:
  - Proactively addressing the challenges and seeking solutions.
  - Effectively communicating expectations and priorities to their team.
  - Building trust and fostering a supportive team environment.

This example highlights the interviewee's ability to navigate complex situations, prioritize competing demands, and effectively lead and motivate their team.

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

How Managers Hire Great Engineers [Part 12] - Outreach Basics

So you've found a great candidate - Now it's time to get them into your interview loop. From this lesson, you will:

- Understand the benchmark for a good response rate when sourcing candidates, with 15% as the target for moving candidates forward in the recruitment process
- Learn that email outreaches typically yield higher response rates than LinkedIn InMails and why finding a candidate’s personal email can be more effective
- Discover the advantages of outreach coming directly from an engineering manager rather than a recruiter to significantly increase the likelihood of a response
- Explore tools and methods for finding candidate emails, including using services like Clearbit and experimenting with Gmail to predict email addresses
- Gain insights into how personalizing the outreach process by handling initial replies and interactions can make a meaningful impact on recruitment outcomes

Connect with John Egan on LinkedIn: [https://www.linkedin.com/in/jwegan/​](https://www.linkedin.com/in/jwegan/%E2%80%8B)

Amazon Behavioral Interview [Part 11] - Tell Me About A Time You Exceeded Expectations (Answer)

This video segment describes the interviewee's experience successfully increasing the acquisition of a business credit card at Costco.

- **Identifying an Opportunity:** The interviewee recognized the untapped potential of the business card, which offered higher profitability compared to the consumer card. They also identified a key differentiator: a higher gas rebate for the business card.
- **Leveraging Internal and External Factors:** The interviewee capitalized on the increased warehouse incentive for selling business cards and secured additional funding for training and in-store marketing.
- **Overcoming Challenges:**
  - **Internal Competition:** The interviewee faced resistance from the consumer card division, who perceived the increased business card acquisition as cannibalizing their own customer base.
  - **External Constraints:** The interviewee navigated challenges related to Costco's limited marketing space and restrictions on in-store promotions.
- **Significant Results:** Despite these challenges, the interviewee successfully tripled the initial acquisition target, demonstrating strong project management and execution skills.

This example highlights the interviewee's ability to identify and capitalize on opportunities, overcome internal and external challenges, and achieve significant results.

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

Have A Conversation About Conversation

In this lesson, we explore how to set up a healthy, effective relationship with an engineering manager by having a “meta” conversation early—one that focuses not on tasks, but on how we want to work together.

- We introduce the idea of a personal “README file,” where we proactively explain our background, working style, motivations, and concerns so our EM understands how to support us.
- We emphasize sharing what energizes us and what drains us, giving our manager the context they need to advocate for us and assign work that helps us thrive.
- We suggest regularly reflecting on what’s going well and what isn’t—using 1:1s not just for status updates, but for deeper calibration on collaboration.
- We call out the importance of explicitly discussing how we prefer to receive (and give) feedback, whether direct and verbal or written and reflective.
- We highlight that starting the relationship with these meta conversations sets the foundation for a smoother, more aligned partnership with our EM.

Paper Reading - Attention is All You Need

Paper Discussion led by [Mandar Deshpande](https://www.linkedin.com/in/mandardeshpande1995/)

"Attention is All You Need" is a seminal research paper published by researchers at Google in 2017, introducing the Transformer model. The paper revolutionized natural language processing and machine translation by proposing a new architecture that relies solely on self-attention mechanisms, eliminating the need for recurrent or convolutional layers.

This paper and the Transformer model it introduced are crucial in the context of Large Language Models (LLMs) for several reasons:

- Parallelization
- Long-Range Dependencies
- Efficient Attention
- Mechanism Pre-training and Transfer Learning

We will be discussing the internals of the Transformer architecture which will help guide our journey into the LLM space.

Paper link - <https://arxiv.org/abs/1706.03762?ref=blog.oxen.ai>\
Event link - <https://www.jointaro.com/event/paper-reading-attention-is-all-you-need/>

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.