Why Influence Is the Product Skill AI Won't Replace: Jessica Fain on Winning Executive Buy-In

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Overview

Jessica Fain has been a product leader at Box, Slack, Brightwheel, and now Webflow, and served as chief of staff to two of Slack's chief product officers. In this conversation with Lenny Rachitsky, Fain argues that influence, meaning the ability to build momentum behind good ideas and win the backing of executives, is close to the most important skill a product builder can have. Fain also argues that it matters more, not less, as AI makes execution cheaper. Fain's central claim is that most people misunderstand how executives actually make decisions. They center their own ideas instead of the executive's context, incentives, and constraints. Fain's remedy is to treat the executive the way a good product manager treats a user: with curiosity and empathy.

28 min read
5:11

From Frustrated PM to Chief of Staff

Fain's interest in the topic started with frustration. As an individual-contributor PM at Slack, Fain would bring forward ideas grounded in what customers were saying. Some of those ideas generated excitement, funding, and a sense that the team could accomplish something great. Others that Fain believed in deeply "died on the vine." Fain felt they understood the user base well, but they couldn't see how decisions were being made behind the scenes.

At eight and a half months pregnant, Fain had a two-day overlap with April Underwood, who had just been named Slack's CPO and was returning from their own maternity leave. Fain worked up the courage to say they admired how April worked and thought, and asked to be considered if April ever wanted a chief of staff. When Fain came back from leave, they took that role, and later served as chief of staff to April's successor, Tamar Yehoshua.

The lesson from those years, in Fain's telling, is that people completely misunderstand what goes on in executives' heads, calendars, and incentive structures. Instead of understanding where the executive or stakeholder is coming from, people center their own desires, motivations, and slice of the world. Fain believes this hurts both their careers and the products they build.

7:33

The Executive Calendar as a Strobe Light

Fain's first example of this misunderstanding is the executive calendar, which is often blocked on Google Calendar so nobody can see what fills it. Fain describes it as a strobe light going off. An executive wakes up at 8 a.m. with a long list of urgent things, then moves from a finance meeting on budget to an interview for another executive, then a people problem, a legal problem, and a product review. The PM walking into that review may have been preparing for two, three, or six weeks. The executive probably hasn't thought about the topic since the last meeting and "may not have gone to the bathroom today." Everything that crosses an executive's plate feels like an emergency, and they haven't had the time or energy to focus on your problem.

Fain's most basic tactic follows from this. Take 30 seconds at the top of the meeting to explain why everyone is there, what happened last time, and why the topic matters. Fain adds that executives are optimizing for a global maximum across the company, while the presenter is usually optimizing locally for their own area.

Fain frames the broader goal as helping executives be their best selves. People focus on their own doc, prototype, or presentation, but rarely ask how to get the best thinking out of the executive. Fain says product leaders need to be "communication chameleons" who speak the executive's language. That means figuring out whether a given leader lights up at a design, a customer story, a dashboard, or an experiment, and then presenting in that form.

10:29

Treat the Executive as Your User

Rachitsky says he tells people he manages that it's their fault if leaders didn't buy into their ideas. Fain agrees, quoting Annie Pearl, their first PM manager at Box: "It's not my fault, but it is my problem."

Fain's core observation is that curiosity and empathy are among a PM's best skills, yet PMs drop them the moment they talk to an executive or stakeholder. They start thinking only about their idea, the approval, and getting to the next meeting. Fain suggests treating the executive as the key user and applying the same product skills to understanding them.

Fain calls going into a meeting just looking for approval "one of the most disastrous things you can do." The alternative is to go in asking how the executive's domain expertise, context, and experience can strengthen the plan. Fain says this yields both a better product and an executive who feels they built the product alongside you.

Fain is blunt about the common complaint that executives "just don't get it." If you don't respect the person or believe they know something you don't, Fain says you should quit and work somewhere else. If you do respect them and believe they got where they are by developing skills you want, then take the feedback, ask questions, and don't treat the meeting as a rubber stamp. Fain calls that a failure state, and one executives dislike.

13:11

Influence Is Not Politics

Rachitsky raises the objection that this can feel manipulative to people who just want to do great work. Fain distinguishes the two sharply. Politics is manipulating outcomes and people for your own gain. Influence is increasing the odds that your good ideas survive. In Fain's view, people who see this as politics are letting ego, and their own narrative and scope, crowd out empathy. Treating stakeholder conversations as discovery interviews turns them into learning.

Fain illustrates this with Noah Weiss, who succeeded Tamar as Slack's CPO. When Ethan Eismann, Slack's head of design, was leading an effort to write product principles that codified what made early Slack great, Noah pulled a small notebook out of their bag. It had a section of lessons they had learned from Stewart Butterfield over the years. Fain stresses that Noah hadn't kept it in anticipation of a principles exercise or to show off. It was genuine learning. That practice let Noah reflect Stewart's principles back while building their own product intuition, and it let the organization scale those principles. Fain says the early Slack people who shaped the culture were trying to grow and build great products, not to politic.

15:47

Disagreeing Without Being a Yes-Man

Most people don't work for someone with Stewart's product sense, Rachitsky notes, and often think their leader is simply wrong. Fain rejects the idea that influence means doing whatever the leader says. "You get paid to have an opinion. You get paid to be a domain expert." A good executive wants you to be the deepest person in the room on your topic.

Fain points to Ilan Frank, their boss at Slack and now CPO of Checkr, who always had a customer anecdote ready, along the lines of "I was just on site last week with so-and-so and they said…" Many Slack executives didn't come from strong enterprise backgrounds, so Ilan's enterprise expertise mattered.

That expertise has to come with curiosity. Fain describes a person on their current team who, on hearing something that contradicts the data or their experience, says: "That's so interesting. What led you to believe that?" Fain reads this as genuine curiosity. The person said something that seems wrong, but there must be something behind it. Asking opens the door to co-creating. Did they have a meeting last week? Are they getting pressure from the board? Fain notes that executives are very good at seeming certain, because so much of their job is making fast decisions with little information. If the executive is also a learner, unpacking why they believe something and then responding with your own expertise gets both of you to a better answer.

19:02

Learn What Matters to Them, Early

Fain's next advice is to understand the executive's belief system as early as possible. As chief of staff, Fain says, they could count on one hand the people who asked beforehand what the CPO cared about most before a product review. Fain recommends asking the executive's assistant, chief of staff, and people who have pitched successfully: what worked, what the executive is worried about, what the risks are.

AI makes this easier, according to Fain. You can ask Slackbot what a leader has been posting about lately. At Webflow, a peer on the product leadership team trained a GPT on transcripts of past product reviews, which are publicly available internally. PMs are expected to run their PRDs and pitches through it to see what Rachel Wolan, Webflow's CPO, is likely to push back on. Fain also suggests using AI on your own known weaknesses. If you've gotten feedback that your data or UX thinking is thin, ask for critique on that. Fain calls Claude "amazing for this."

The second step is to go in to learn, not to convince, and to do it early. Webflow has "office hours" for aligning on strategic direction, sometimes before a one-pager even exists. At Slack, teams had been bringing Stewart finished designs that didn't match what was in Stewart's head. Early employee Ali Rayl set up a format called "Hey Stewart, what do you think": half an hour to ask Stewart's beliefs and past experience on a topic, run like a user interview. Fain says people often fail by not asking for this time. They're afraid to take up busy executives' calendars, and then miss the point.

22:03

Having a Point of View Versus Showing Too Much Work

Rachitsky asks how to hold a point of view while going in to learn. Fain's answer is that people err in both directions.

The first error is showing too much work: "We talked to 16 participants from these 15 geos and this is statistically significant." Fain recalls doing exactly this in a review. The person they most needed to convince glazed over and got on their phone, and Fain says they "totally blew the meeting" by trying to prove they'd done their homework. The baseline expectation is that you did your job. Put the detail in the appendix.

The opposite error is offering only one option. Fain compares it to classic pricing strategy: present three options with a Goldilocks choice in the middle. More importantly, showing alternatives signals that you considered what the executive might think you missed. In a recent review with Rachel Wolan, Fain's team brought a single reasonable approach. It didn't match Rachel's expectations. The feedback, which Fain calls exactly right, was that Rachel couldn't see how the team was thinking about the possible permutations. The team asked to meet again in two days and returned with a new doc laying out every option they had considered, why each would or wouldn't serve the target outcomes, and the technical complexity of each. With that, Rachel agreed the proposed solution made the most sense. Fain's takeaway: you don't need to present all 15 options, but have them ready in an appendix or a draft Figma file.

At Slack, the team had a rule after design reviews called "Stewart plus two more." When Stewart specified exactly what he wanted, and Fain says Stewart usually had better ideas, the team built that version plus two others they believed in. This created a forum to debate the merits of each approach.

Rachitsky brings up Barbara Minto's pyramid approach: lead with the recommendation, then what you explored, then the evidence. Fain hadn't heard of it but thinks it works. Fain's caveat is that executives differ. Some hate PowerPoint. Some want only data and no qualitative research. Some will do pre-reads and some won't. Fain directly asks executives to state their preferences, for instance "I prefer a doc, no upfront explanation, ten minutes of quiet reading." Fain says that format works especially well for busy people, short meetings, and remote work, where presentations don't land well.

29:34

Skip "What's Top of Mind?" and Find the Incentives

Fain offers what they call a hot take: they dislike the question "What's top of mind for you?" It has become a trope, the title of generic weekly exec write-ups, and it draws neutralized answers. If you were researching users, you wouldn't ask that. You'd ask how they spent their day, what urgent priority they're scared of messing up, what pressures they face. Fain recently asked their CEO, "Tell me what the board is pushing you on." Everyone has a boss, Fain notes, including a CEO who seems all-powerful.

This leads to incentives. Executives want to be successful and good at their jobs too. Ideally your team's incentives already align with theirs. If not, Fain says you need that conversation, or you'll be misaligned from the start. If they do align, make the connection explicit: how does your proposal move their metric, their OKR, or the board pressure they're under? Fain adds that in product work, incentives shouldn't be reduced to promotions or not getting fired, though those are real. At best they're about making users successful, and through that the business. So you need to understand the executive's strategic beliefs about what will move the business.

Fain's example is from leading Slack's core product team (channels, emoji, search, messaging) after the chief-of-staff role. Leadership felt Slack had lost some of its "mojo" around craft, its habit of "painting the insides of the cabinets." The team launched a "customer love sprint": engineering stopped regular work for two weeks, engineers chose what to work on from ideas supplied by PM, design, and customer support, and the only rule was that each had to ship something good for users. Fain acknowledges this could be called a bug bash. The difference was making it a big, fun event, with a judging competition that executives joined. The team shipped 65 improvements and, in Fain's account, restored part of the culture and spoke directly to what executives believed differentiated Slack.

Fain extends the idea beyond new pitches to the regular roadmap. Understand how the OKRs and positioning got to be what they are, and embed that in the team's culture. The same applies to metrics. Using leading and lagging indicators, which the nonprofit world calls "theory of change," a team that can't directly move enterprise revenue can still show how its metrics ladder up to the company's beliefs about retention, conversion, or satisfaction, and get the executive to agree to that chain.

38:02

Following the Breadcrumbs, Quickly

Fain says many executive asks are subtle, such as "I wonder if…" or "Have you considered…?" Most people don't take the bait, and the best people do. Last week, Rachel remarked to Webflow's head of design, Kev, that as skills get democratized and everyone can design, ship code, and write PRDs, "we're going to have to think about design reviews at some point." Within an hour, Kev had a Loom proposing a framework: high- versus low-risk design changes, blast radius, release processes, and how anyone in the organization might ship designs to production. Nobody asked for it or set a deadline. Fain says Kev recognized the organization's incentive to keep people empowered and moving fast.

The counterexample is from Fain's own past. In a quarterly strategy review, Tamar asked for the fourth time to see the top 10 use cases on a topic. The fourth time, Tamar got frustrated that it still wasn't documented. Fain's interpretation is that people missed the cue that something important lay underneath. If you think the request isn't important, ask why the executive thinks it is. Letting it drop costs you their faith that you'll follow up on what they care about.

To show up as more senior, Fain says, "you have to act like a CPO": come with a solution, follow the thread, and do it quickly. Waiting a week on follow-ups means the executive has moved on. Keeping the ball rolling gets you more of their enthusiasm and brainpower.

Rachitsky raises the opposite risk: executives sometimes say things in passing that everyone treats as orders. Fain suggests asking how strongly they feel, how urgent it is, or whether it outranks current priorities. If they say yes, do it. Often, Fain says, they'll answer that it was just a random idea for the backlog. Executives move too fast to always signal urgency, so you have to ask. Fain admits that as a leader they are still working on labeling their own ideas as "just an idea" versus "a mandate."

43:39

Running the Meeting: The 60-Second Opening

Asked what the opening should contain, Fain gives a compact script: we're here to discuss X, last time we left off here, today's goals are Y, here's how we'll run the meeting. Then stop talking, because past 60 seconds you've lost them. Fain adds one more question: "Was there anything else you were hoping to cover today?" Rachitsky notes that "60 seconds" often turns into five minutes, and Fain agrees that you have to actually hold to it.

For Webflow's common format of silent reading or watching a Loom before discussing, Fain handles the flood of comments a leader may leave on a doc by adding a "themes for discussion" section at the top. It surfaces the biggest and most controversial issues that can only be resolved live. Questions about timeline or staffing can be answered offline. What can't be recovered is discussion time with that group. Fain checks with the leader ("Rachel, did I get your thoughts right?") and then moves to what Fain calls "the really good stuff."

47:03

It's Your Job, and Asking for What You Need

Rachitsky returns to people who resent this "meta work." Fain says it's literally the job. PMs get funding for ideas in the form of engineering, design, and cross-functional resources, which Fain likens to VC money from a CFO, CPO, or CEO who expects a return. Being a solo startup decision-maker is valid, but if you work with others, their buy-in makes everything easier. Beyond that, Fain says, motivated people who feel purpose work harder, support you more, and "talk about you in rooms that you're not in."

A further misunderstanding is constraints. Executives aren't bound by the budget, headcount, and timelines you feel. They can move people, ask for resources, elevate or kill projects. So when an ask seems impossible with your "pizza team" of four engineers, tell them why and say what you need: eight more people, an hour of their time twice a week, closer alignment with marketing. Fain says people miss this constantly, especially when the executive's request seems unreasonable. Fain still grounds this in company goals: would adding a dozen people actually do more for the company's priorities, or is something else more important?

On big ideas that get no traction, Fain says it depends on the organization and whether you can build it yourself. For large investments, the key lies around the executive. They'll want to hear from peers and experts. If customer success thinks it will accelerate expansion, or marketing thinks it will multiply signups, that cross-functional support helps. Fain notes PMs can now prototype a messy V1, gather feedback, and socialize it into "a groundswell of buy-in" that makes the funding hard to refuse.

Rachitsky suggests rejection often comes down to each side having different information. Fain cites a technique from April Underwood: in strategy sessions with Stewart, April always held the whiteboard marker. April drew out Stewart's instincts about the market and the business, while packaging them into actionable frameworks Stewart might not have had in mind. Fain also stresses relationship phases. When you're new, casual time together, when you're not pitching, builds the trust and candor that pays off in later pitches, and people undervalue it.

56:50

Building Trust: Shrink the Change and Kill Things

On trust, Fain's first advice is to ground ideas in what the executive already believes. If an idea is wildly at odds with their beliefs, "don't bother." You probably have nine other good ideas that fit better. You can push back once or twice with data, but if they still feel strongly, you probably have to drop it. Long-term trust comes from hearing them out, acting on past feedback, and delivering results. Reporting back that "we worked with you on this, we shipped it, here are the results" builds momentum for bolder proposals later.

Fain cites Switch, one of the few business books Fain likes, and its idea of "shrinking the change." Turn something scary into an experiment or a one-week proof of concept, so nobody has to commit six months up front. Fain applies this to any project longer than a month: define milestones and show outcomes along the way.

Fain recommends asking what kind of risk the executive fears most, whether wasted time, time to market, or doubt that customers will want it, and what failure would look like to them. Fain mentions red teaming, originally a military tactic, as a way to see your idea from outside. Fain says obsession with one's own idea is getting worse with prototyping. You build something beautiful you never could have built before and become unwilling to accept it might fail.

"One of the biggest things you can do to build trust is kill things," Fain says, or deprioritize them. It shows your incentives match the executive's concern for company and user outcomes. Rachitsky agrees, since most people only try to acquire more resources. Fain adds the structure: here's how I'll know it's not working, and here's when I'll come back with a decision. Many outcomes are unknowable, especially for AI-native products, and people crave certainty. A trick Fain learned working with engineers, who often want high certainty, is to say "I don't know the answer right now" but commit to a check-in date. At least the next checkpoint is certain, which Fain says de-escalates fear around an initiative.

1:02:30

Broad Context and Growing Into the Next Role

Asked about common mistakes, Fain points to the broad context executives carry. They know what other product teams are doing, what's discussed at the executive staff level, and what they hear at executive roundtables. Part of your job is extracting that and applying it to your ideas. Fain calls the chief mistake not caring about it.

That breadth is also how leaders get promoted. Keep your domain expertise, Fain says, but widen your view to the whole organization and industry, and you'll be seen as a strategic thinker who cares about the company's success. When pitching April on the chief-of-staff job, Fain said they wanted to find out whether they wanted to be a CPO someday. Fain still doesn't know, calling it a very hard job they respect far more now.

Rachitsky offers Jeff Weinstein at Stripe as an example: a PM who constantly thinks and posts about Stripe as a business. Fain, who worked with Jeff at Box, agrees and describes Jeff as charismatic and good at taking others' perspectives. Fain recently led a rewrite of Webflow's PM career ladder, which names "product citizenship" as a trait of seniority: giving best practices back, mentoring, and broadening others' horizons on tooling, storytelling, and strategy. Fain says they often see docs whose key result is "ship this thing" with no explanation of why it matters or why the CEO would care. The flip side, if your work doesn't move an important outcome, is to say so and propose something more effective. Fain references Stewart's comment on the podcast that CEOs are often the only ones who can kill existing things, and says it's a cultural mistake if others don't also raise such opportunities to "amplify the business or save it from itself."

1:09:39

AI: A Golden Age of Product Management, Not Product Managers

Fain believes we're entering "a golden age of product management, not of product managers." The core skills of user empathy, curiosity, testing, and iteration matter more than ever. Organizations still need buy-in to fund not just a V1 but the costlier V2, V3, and ongoing support, and Fain says that becomes ten times more important. PMs have long built careers on being type-A Gantt-chart masters and the best note-takers. If AI beats you at analyzing data, taking notes, or running experiments, Fain says, leverage shifts from doing and synthesizing work to deciding what work survives and bringing others along. Fain finds this exciting because PMs, engineers, and designers can now produce a first version and get signal on product-market fit much faster. Influence, stakeholder management, and learning are "the 10x skill."

Fain says AI isn't yet a good "anthropologist." It draws on existing knowledge, while the best product thinkers reach novel insights through user empathy and understanding of changing business dynamics. "We're going to have so much software we won't even know what to do with it." The question is which software matters and gets marketed and sold. Rachitsky lists where humans stay necessary: deciding what to build, judging whether it's ready, and distribution, which he calls an underappreciated new bottleneck. Fain agrees strongly. Fain doesn't believe everyone can build the next Salesforce alone, and argues that attention will still go to whoever has marketing dollars, brand, and customers. Fain cites Gemini and Google's tools as the quintessential distribution example. Fain adds trust, with users and internal teams, as equally underrated, noting that even model companies are hiring heavily.

Rachitsky pushes back that people underestimate how good AI will get at judgment too, since Codex and Claude Code already give him good ideas for what to build. Fain responds that as ideas multiply, mistakes compound faster. Webflow's current strategy doc rewrite is on about 40 versions because it's so easy to revise a 15-page doc. That's why strategic clarity matters more: a shared, frequently updated set of beliefs about which problems deserve time, compute, and money lets teams move fast and build the right thing, "as opposed to just the idea that Claude had." Rachitsky ties this to Twitter claims that PRDs are dead, which he thinks are backwards. Fain calls such takes "really dumb" and "a little insufferable," saying what still matters is understanding users, business dynamics, and strategy.

On agents as colleagues, Fain says we are all "directors of work" now. If a hundred agent colleagues joined your team, you'd need to onboard them as you would junior staff who don't know your product philosophy. That means codifying what you believe about product-market fit, success, and metrics, analyzing your past wins and failures, and feeding that context in. The other half is guardrails: where you must catch hallucinations or missteps, and where your taste and judgment mean "don't do this without me." Rachitsky observes that this is essentially teaching agents to influence you. Fain describes using AI as "a really smart colleague that never gets irritated by our questions": poke holes in my ideas, tell me what you'd do differently, bring in more corporate context than I could read myself.

Fain is also concerned about protecting our brains from overwhelm. Fain describes a passage in Pachinko where, in an earlier generation, two women's day is cooking breakfast, going to market, cooking, serving, and cleaning up dinner, which Fain says was the shape of most of human history. The mental load now is "staggering," and Fain thinks one important use of AI is clearing distraction and surfacing what matters most. People will need to make hard choices about how much they can actually focus on.

1:22:47

Influence on Your Own Terms

Fain closes the main conversation with a point about authenticity. Fain identifies as a people person, an Enneagram "two-wing-three," which Fain describes as a mix of the communal people person and the achiever. Fain hears people dismiss the advice with "you're just good with people." Fain's response is that influence and trust-building aren't tied to one personality type. Someone shy, introverted, data-oriented, or deeply technical can build influence in a way that feels true to them. Early in their career, Fain was told to show up "more like a man would," more aggressive and decisive. Fain grants there were useful nuggets in that feedback, but says it took a while to see that their own way of showing up was a superpower to double down on, rather than something to replace by imitating someone else.