This is a two-part question. Let me first articulate how I like coming up with ideas for new opportunities, followed by how I like to make decisions about what to build. Hopefully, you don’t mind that I’m thinking about “opportunities” because it might not always be a feature that’s the right solution. I should start by saying that there isn’t one right approach to coming up with ideas. In my experience, I’ve had success ensuring that there are: 1. Insights from the four lenses: Customer, Business, Market, Technology 2. Effective methods to facilitate ideation At the core, you have to have a deep understanding of the underlying user pain point you’re trying to solve through a thorough investigation of the Customer by talking to customers and product usage. You might actually learn very quickly that the user problem is around discoverability or activation, not necessarily a feature gap. Ideally, the customer impact is so deep that it translates effectively into Business impact. The Market context is critical to help understand how your user will experience the product within the broader competitive landscape and the direction an industry is headed. Finally, the Technology lens offers insight into what capabilities could be used as part of a solution. Preferably, these four lenses come together through cross-functional ideation that has the right participants (e.g. PM, UX, Eng, and even folks go-to-market teams). In a hybrid world where we’re working across time zones, I’ve enjoyed having the opportunity to ideate together synchronously and asynchronously. In terms of decision-making, the ideation process should lend itself to initial layers of prioritization. I won’t go into prioritization frameworks here, but there are many out there. They do tend to distill back to impact and effort and sequencing. At HubSpot, depending on the type of decision we are trying to make, we may use a “driver, approver, contributor, informed” DACI model used by other companies we admire like Atlassian.

As you progress from PM to senior PM, competencies in these 3 areas should grow: Autonomy💪🏽, Scope 🌫️ and Leadership 🙋 . There are a few clear indications that someone is ready for the senior level, like increased scope, being a reliable partner and being results driven. Here are some less obvious ones: #1 You recommend initiatives based on your strategic evaluation, instead of waiting for them to be handed to you. You are influential in your field and feel confident putting forward these initiatives. #2 You leverage relationships across the org. You can drive results from partners outside of your immediate team. You are fully entrusted to tackle complex, multi-team problems with little necessary supervision. #3 You are seen as an available and trustworthy mentor and actively seek out opportunities to help others be their best. This is my favorite by far. What are the key stages that distinguish the different levels of PMs? I think a little bit of this depends on the problem space and company. In my mind, PMs are professional collaborators, strategic assassins and bring out the best in their peers. If you can look yourself in the mirror and say you’re doing these things at scale, well, I’d say you're on the right track.

Without going into specifics, the biggest challenge has been cross-organization influencing. My time at both Microsoft and Google has exposed me to lots of intra-organization projects with varying levels of buy-in from each team. The level of effort and coordination required to pull not one, but two organizations in the same direction can be enormous. As a PM - at any level - it's your role to effectively communicate why what you're trying to acheive makes sense for other teams, your company and ultimately your customers. Even if you're aligned on principles and strategies, there are dozens of other factors that you need to be able to navigate such as resourcing, ownership, tech stacks, recognition, branding, leadership opinions and timelines. 

Reality these days is that we mostly work in remote settings, and even when we do go to the office, some people will be dialing in. As a result, I believe 80% of the strategies have to do with focusing on the fact that we are all people, 20% are tactics and adjustments for remote settings. General alignment strategies: * Build trust ahead of time. This is fundamental and driving collaboration without it is hard * Focus on common goals. There’s typically a higher goal that teams can easily align on (e.g. Revenue, Engagement, Better experience), and the differences show up as you start double clicking into the “how”. Starting the discussion with a longer term view can also help in skipping tactical disagreements and alignments * Frame, rather than take a position. With common goals in mind, center the discussion on what the characteristics of a good solution are, rather than starting with comparing options. This helps setting a more objective ground before jumping into the solutions * Call out your biases (easier to do when you have trust). In an environment where there is trust, I expect my teams to be able to call out other considerations that may cause them to pull in a certain direction, those can be different stakeholders that push in other directions, past experience and others. Some of those reasons may be valid, some may not be valid. Calling them out can help the entire team work through them. A few remote specific tactics: * Set the right structure, if possible. This includes minimizing the number of time zones each team has to work across (In my organization we are trying to limit ourselves to 2 time zones per team, when possible). If you can, hire senior enough people in the right locations to be able to run autonomously. * Invest in getting to a clear strategic direction. Having an upfront debate on the direction is time consuming, but can then help in setting the guardrails for autonomous decisions that can happen within the teams, locally. * If you do have the opportunity to meet in person, do so. Especially when working across time zones with little overlap, a good relationship would allow you to accomplish more offline, and can dedicate the overlapping time for working more effectively through the tougher topics. While I still mostly work from home I prioritize going to the office when team members from other offices are coming to town (and I am writing this note from the airport, while waiting for a flight - going to visit my team in Austin!)

I think the best way to break into the industry as a PM is to get after building tech products yourself. Personally, I left a well-paying job in the energy sector to work on a start-up with no reliable paycheck. Thinking back on that experience, it was crazy beneficial to learn how to work with designers & engineers to build a great product or feature. The act of building a product or feature is the best teacher. I’m not advocating that you should quit your job and not get paid to build stuff like I did! There was a lot that wasn’t so awesome about that. 😅 But I definitely WOULD encourage everyone here to think about how you could do that in your spare time. What problems are you passionate about solving? What kind of product or feature could help you solve that problem? How could you bring that solution to life? How can you talk to prospective customers about it? Even PM candidates that make wireframes or prototypes to show a product that solves a real problem have a leg up over most of the other candidates. I’ll take someone with drive, initiative and passion for the work 10 times out of 10.

Perhaps a contrarian take, but technical skills aren't the most critical for the majority of PM roles out there, except for deeply technical products or platform positions. For the general PM role, it's much more important to demonstrate your ability to delve into customer problems, set strategy, execute, and drive impact that aligns with your organization's mission and vision. Technical skills matter, but they are secondary. They usually revolve around your ability to work with engineering counterparts and understand enough technical concepts to make trade-offs, and to work with data and perform analysis for decision-making. In my experience, both of these skills are often inquired about directly.

A super common question! Traditionally the term "product manager" can often mean different things depending on the size of the company, the product's stage, and sometimes the overall market segment. I often times bucket them into these core groups: 1. Technical Product Managers (TPM): These PMs work closely with engineering teams on more technical products, thinks like API driven products where the end "customer" is technical in nature. For these roles, you will need a deeper level of technical expertise and the ability to understand the technical aspects of your customers needs. 2. B2C (Business to Consumer) Product Managers: In a consumer-facing environment—like mobile apps, e-commerce platforms, media consumption products — I find that PMs often emphasize UX and product design (along with core PM responsibilities). One of the key areas that this group focuses on is leveraging a typically broader/larger customer base to do things like A/B testing, and quick iteration on product designs to validate assumptions and feature value. 3. B2B (Business to Business) Enterprise Product Managers: These enterprise PMs focus on delivering products that solve businesses' complex problems. I spent a lot of my career here and this type of PM spends a lot of time on sales enablement, strategic account engagement, and roadmap management. Given that most B2B solutions have a longer sales cycle, their relationship with sales is key to success. Depending on the size of the organization, this type of PM also focuses a lot on the financial side of the product. 4. Infrastructure Product Managers: These PMs (sometimes internally facing only) focus on building components that other teams and products rely on, oftentimes within an organization. For them, the GTM isn't as relevant but they need to understand and balance things like scale, interoperability, and business alignment. Figuring Out Your Best Fit: 1. What are your Interests: Consider things like Do you enjoy getting into the weeds on technical discussions? Do you more get energized by user research and design? Do you geek out over analytical data and love looking at usage metrics to drive feature development? Each type of role has a different focus, so find the things that excite you. 2. Consider the Environment Do you want to reach a huge market of customers and iterate on minor feature developments and enhancements? Or do you want to work closely with larger business customers and develop a deeper understanding of their problems and how your product can evolve to meet those specific needs? No right or wrong answer, just what gets you pumped up each day. Remember, it’s about aligning your career desires, your core strengths, and the types of challenges that get you fired up to solve each day. We are problem solvers, so what types of problems do you love solving and how do you like solving them? Many PMs start in one area and end up in another. All the roles share a common framework of ensuring we are delivering business value for our organization and delighting our customers with innovative and useful solutions to problems they either have or don't even realize they have yet.

1. Ability to communicate well - Someone told me early in my career: The single most important PM skill he looks for when hiring a PM is communication. Communication is really a proxy for building trust, driving alignment, having healthy debates when there’s conflict and committing to a path forward. That’s all under the hood of good communication, and is instrumental in driving product teams forward. 2. Data driven mindset - relevant to qual as much as to quant. Ask yourself and teams the right questions. Become familiar with qualitative research tools, understand what your dashboards need to look like, and get your dashboards in place. Be empowered to make data-driven decisions. 3. Ruthlessly prioritize - every day you have more you want to do than you will have time to do it. That’s just the reality. Every human has 24 hours, and one can’t change that. Make sure you prioritize your team and the team's time and resources.

My top-3 favorites purely from a product perspective: * Google Photos, for very delightful and practical uses of AI * Huckleberry, for attempting to solve the problems of new parents in a tech-first way * Tesla, for the beautiful combo of hardware and software to create an overall rich user experience (not factoring in leadership, political, health, or climate impact)

I would say there is no substitute to real user data. User research is table-stakes. But in my experience, not always representative of "actual" usage, so don't overindex on specifics. Rather validate if the problem statement is indeed important for the user segments. Because if it is, then they might be more patient with your iterations towards solving their needs. Else they are very likely to abandon very early on and never return. A good way to test is whether they are willing to pay for the solution. Paper mocks UXR is helpful once you have narrowed themes and want to develop MVP scope. Then go build MVP and ship to a small user segment to learn and iterate. This step is the journey. Scale up only when you see hockey sticks for atleast one feature. Also retention loops should be naturally showing up by then.