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.

The level of detail that people on other teams need depends on what they are using the roadmap for. Our roadmap planning tool enables us to create multiple views of the roadmap - we tailor each view to the use cases of the consumers. For example, we have the following views: * A view for our quarterly planning process - this view is primarily used to communicate to execs so it focuses on the high level business goals that each roadmap item supports and doesn’t contain many implementation details. * An internal view that go-to-market team members can use to understand estimated delivery dates for items in active development or beta - this view contains much more detail - for example the user needs that the release addresses and how to sign up for betas. * A public view that is available to our customers - this view contains customer facing explanations of each project and information on how our customers can help us develop it. For example, an item might have a few questions about the customer’s use case and interested customers can send us answers to those questions.

There are multiple things you need to get right before you start building a product, because the most likely outcome of creating one is that it will fail. To see an example of this you can watch this talk for how we did problem and solution discovery when creating Jira Product Discovery * Validating the problem space is important. For that I think the recipe is pretty straightforward: talk to customers and prospects and let them guide you. It's quite important to go in there open minded about what you're going to learn - because there's a high chance that all the assumptions you made when going into these conversations are wrong, that people don't face the problems you thought they faced, or not with the intensity that you imagined. I'd recommend getting coaching from a user researcher on interview techniques - otherwise you can easily meet with 50 customers and learn nothing. It's one of the most important skills for PMs (and humans are naturally pretty shit at this so it REALLY takes coaching). * You want to land on problems that are felt very strongly and urgently by the people you talk to, and are pervasive. * By doing all this you'll form a view on who your target customer is - you want to keep refining this. And you'll identify potential customers you'll want to work with to shape the solution. We call them "lighthouse users" and it's who you would want to build the solution for: they feel the problem strongly, are crafty and have tried many different solutions to solve them to no avail, they're great communicators, easy to collaborate with and have urgency in solving the problem. Find them, and the rest of the journey will be much easier! Read this post to learn more about lighthouse users. * But on its own it's not enough, there are other aspects to tease out. * You want to be clear on if there is a market - check out which companies play there, try to get a feel for their revenue and growth (there's a lot you can glean about that online); if you can, try to chat with investors who gave them money; understand the maturity of this market (early adopters, early/late majority, etc.). * You want to have a thesis for how you can win - e.g. do you have a distribution advantage, access to tech that's hard to reproduce, other? Note that the best product doesn't necessarily win distribution is going to be key to answering this question. * Distribution is super important and what will make or break your product. It's a good idea to validate demand and your ability to reach potential customers. In the past I've done this by creating and advertising a landing page on a website stating the problems and asking people to join a waitlist. That's how we knew we were onto something in the early days of Jira Product Discovery - within 3 weeks we had 3000 people on the waitlist (which contained zero information about the solution). * You need to have a clear answer on "why now?" - the problem needs to be felt really strongly and urgently by customers, maybe there is new tech opening new possibilities, maybe it's the right moment for your company to invest because of strategic reasons, etc. But you need to be clear on why this needs to happen now vs next year. * If you're in a bigger company with cash at hand, assess build/buy/partner opportunities - before jumping straight to creating something a new product: is there another company you could buy instead of building, and fast track everything by a couple of years? * Even after answering all this I wouldn't jump straight into asking for engineers. I'd only do that if we're not clear the solution is feasible, e.g. if it requires new tech that we don't master. After problem discovery, don't skip solution discovery! There's a lot you can/should validate without writing code: * In the past I've shown people slides with value propositions and asked them to explain back to me how the solution would help them. There's a lot I learnt by doing that! * Create prototypes, in Figma, or live prototypes than people can play with. You can gauge the reaction of the people you give them to: if they "just" look enthusiastic about the solution you can throw it away. If they're straightaway asking you if they can please please please start using it tomorrow then you know you're onto something * Even if you ask for an engineering team: start with technical spikes and prototypes, the goal is to validate the solution solves the problem and is feasible. All of this will also help you refine your understanding of the problem space (problem <> solution work hand in hand) You can also read more about it in the Atlassian Product Discovery handbook, that we wrote to help with things like this. Check out the "Ideas" section.

In my mind, it's not an either-or. By growing existing talent, you retain organizational knowledge and build a shared culture, while bringing in external hires inject fresh perspectives and sometimes specialized skills lacking within a PM team. When I am looking at my team structure and needs, I often consider the following: Things to Consider: 1. Internal Development Programs: Promote from within by offering training, mentorship, and rotational programs that broaden your team's exposure. This approach (in my experience) strengthens loyalty, develops institutional knowledge, and keeps your product strategy consistent. 2. Hire Externally: Often times PM teams get into stuck patterns and fresh perspectives are invaluable for a team's growth. When I need new capabilities, like a strong data analytics background, or experience in a specific market segment, hiring from outside will usually shorten the learning curve and bring proven experience to the team. This ultimately helps the broader team as their exposure to these new skills raises everybody's value and potential. 3. Do Both: We need to do both internal development and external talent acquisition to manage the best possible team. Keep growing your internal team by providing new opportunities and challenges, while selectively recruiting outside talent to fill knowledge gaps and bring in fresh eyes. This way, I keep our internal culture strong, ensure continuity / grow loyalty and still gain a fresh perspective when you need it.

I love this question! It happens a lot and working through it is part of our role as PMs. There are a few layers to my approach here: First, start with building the relationship. (I hope this theme is clear by now ;-). While your goals may conflict, at a higher level you are playing for the same team, and having constructive, trusting relationships is a key for any team’s success. You don’t need to agree, but at least seek to understand and show empathy. Second, focus on higher level framing, rather than your own goals - You both want the company to succeed, and if you start double clicking into what success means, you will likely be in agreement for the first few clicks. As you go deeper, call out the framing e.g. “We want to grow revenue, but also want to ensure good customer satisfaction. We may disagree on the relative importance of those factors”. I specifically recall a leader I worked with with whom I philosophically disagreed on the overall direction of my product, but could still have very productive conversations about how to think about the space. We were not trying to persuade each other, but rather use those conversations to enrich both of our thinking. Third, As you lay the framework and get to the crux of the disagreement, try to think of the “what needs to be true” statement. If two reasonable, capable groups of people look at a problem and get to a different conclusion it may be because they put different “weights” on different considerations. You can then enumerate “A is better than B if X, Y and Z are true. Otherwise B is better than A”. Example: Driving revenue up by X is more important than driving customer satisfaction up by Y if we believe that the change in customer satisfaction will lower attrition by XX and drive increased spend fro existing customers of YY”. Then the discussion can be about the conditions, not the goals. Fourth, when the discussion does move to goals, look at counter metrics. “Grow metric X while keeping metric Y within certain guardrails”. I’ve seen this technique used a lot at Meta. Last - Escalate. I encourage my teams to escalate disagreements so we, as a leadership team, can unblock them. If the work above does not solve the challenge, at least it allows for a very structured discussion among the leaders of the conflicting parties.

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.

Start with a Total addressable market (TAM) * share of TAM you can get in next 3-5 years *confidence level *Revenue per user per year * 3-5 years. In the RICE framework, you would divide TAM * Share of TAM (influence) * Confience/ Effort to then help prioritize. (Desc) Calculating Share of TAM you can get in next 3-5 years is a art more than science. Do a SWOT analysis for yourself, incumbents in the market, if any and emerging players. Also keep in mind that market/users may not always be ready to adopt. So factor in the barrier to adoption/switching costs. Confidence level is based on your ablity to execute and deliver results- ship great products, great customer support, sales channels, marketing (even if lo-budget). Do you have the right team to get this done? Is the technology there yet? Are there high risk dependencies?

FIRST OFF, TAKE A DEEP BREATH AND REMEMBER, CRUSHING THOSE OKRS IS GOING TO TAKE TIME AND EFFORT. NEXT, SET CLEAR GOALS FOR EACH MILESTONE AND BUILD A PLAN AROUND IT. JUST LIKE YOU WOULD WHEN DEFINING A PROJECT, IDENTIFY SUCCESS METRICS FOR YOURSELF AND CREATE A PLAN. HERE’S AN EXAMPLE: First 30 days: Learning and Absorbing * Establish good working relationships with stakeholders: the key to being effective is having open lines of communication with your coworkers. Take the time to get to know them and learn from their experience. * Immerse yourself in data: learn where to find pertinent information, which dashboard to follow and how to query data on your own (or work with a data scientist). * Familiarize yourself with your product’s users, their needs, pain points and Jobs to be Done (JTBD). * Spend time doing competitive analysis to better understand the product landscape. * Integrate into the team’s current work and process and identify ways in which you could be helpful. 30-60: Ownership and Leadership * Assume responsibility for a project: work with your team to define the project’s scope and add requirements. * Define success metrics for the project and work with your engineers and data scientists to ensure impact can be measured and tracked. * Identify cross-functional dependencies and reach out to relevant teams. * Give a demo and solicit early feedback. Continue to do so throughout the project. * Report on the project’s progress and impact to keep everyone involved and interested. Speak clearly about the business impact and how the project ladders up to the company’s goals. 60-90: Strategy and Vision * Leverage your understanding of the business and its users to craft a vision and strategy. * Translate the above into an actionable roadmap and work with your team to define success metrics for each. * Run brainstorming sessions with your team regularly to generate ideas and prioritize them. * Evangelize: this is where your storytelling skills will come into play—make your team’s mission known, its projects familiar and its rationale clear to everyone. Write posts, speak at company meetings and bring feedback back to your team. * Become an expert: be the go-to person for your focus area.

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.

I've noticed a trend in the tech industry for product organizations to follow a structure that Spotify helped craft over the years, in which a company is organized into business sub-orgs that roll up into their own respective product and engineering leads. And those leads oversee various squads that make up the product areas within that sub-org. At CookUnity we call the product areas "zones", in which a product lead exists to drive the product strategy and manage the PM team. In smaller companies (<500), those product leads are likely the direct leadership team for the Head of Product. You can follow this model at any size company, you'll just see a different scale of how many and how big the sub-orgs are.