Best Podcast Episodes About Salesforce
Everything podcasters are saying about Salesforce — curated from top podcasts
Updated: Apr 24, 2026 – 21 episodes
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Ridealong has curated the best and most interesting podcasts and clips about Salesforce.
Top Podcast Clips About Salesforce
“But that, in my mind, is firmly discounted when you look at Salesforce trading at 14 times earnings. This thing is never traded at a P.E. below 30 until we got in this whole like software is going to be eaten by AI narrative. And so, yeah, OK, I take that at its face and say, yeah, there's going to be a slowdown in some of the seat based economics. I think over time that's going to be overwhelmed by the hybrid approach that software companies are going to take, you know, some seat based sales and then some …”
“But that, in my mind, is firmly discounted when you look at Salesforce trading at 14 times earnings. This thing is never traded at a P.E. below 30 until we got in this whole like software is going to be eaten by AI narrative. And so, yeah, OK, I take that at its face and say, yeah, there's going to be a slowdown in some of the seat based economics. I think over time that's going to be overwhelmed by the hybrid approach that software companies are going to take, you know, some seat based sales and then some consumption based. I mean, if you look at talk in my own book here, though, if you look at Salesforce, I mean, they they've been out in front of this. You know, Agent Force, they've been doing that for a couple of years. And Benioff's been pushing that since like the fall of 2024. And so you hear like some analysts say, well, but the enterprise software …”
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Salesforce's stock is trading at just 14 times earnings, a stark contrast to its historical P.E. ratio above 30, showcasing how AI fears have impacted valuations. Despite concerns about software being overshadowed by AI, Salesforce's hybrid strategy and impressive growth in its Agent Force product suggest a resilient future. This insight highlights the potential for companies with the right strategies to navigate economic uncertainty successfully.
“And we're back. Speaking of ice and surveillance and not meeting the moment, to put it lightly, the Salesforce ice joke. I, oh my God, I, I mean, do you ever have secondhand, it's not even embarrassment, it's secondhand, I don't even know the word for it because of someone else's, I'm putting it in air quotes, joke. I have that times a hundred. Basically, Mark Benioff, he's the CEO of Salesforce, he was giving his keynote address at Salesforce's internal conference in Las Vegas. He asked all of the international employees who had traveled to the United …”
“And we're back. Speaking of ice and surveillance and not meeting the moment, to put it lightly, the Salesforce ice joke. I, oh my God, I, I mean, do you ever have secondhand, it's not even embarrassment, it's secondhand, I don't even know the word for it because of someone else's, I'm putting it in air quotes, joke. I have that times a hundred. Basically, Mark Benioff, he's the CEO of Salesforce, he was giving his keynote address at Salesforce's internal conference in Las Vegas. He asked all of the international employees who had traveled to the United States for this event specifically, he asked them all to stand. So these are people who are probably a lot of immigrants, probably a lot of them working on visas, not living in the United States. He asked them all to stand before joking that ice agents were present and This joke, I'm going to put that in quotes, drew booze from the crowd. Several …”
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Salesforce CEO Mark Benioff made a controversial joke about ICE agents during a keynote at an internal conference, drawing boos from the audience of international employees. The backlash was so significant that a recording of his speech mysteriously omitted the joke, raising eyebrows about the company's handling of the situation. This incident highlights the disconnect between leadership and the diverse workforce at Salesforce.
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During the pandemic, a struggling theater artist faced a financial crisis after losing his job selling tickets on the streets of New York. Forced to move back in with his mom and navigate a mental health spiral, he eventually found a new job in sales, revealing the unexpected twists of early career struggles and family dynamics during a global crisis.
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Want to close great deals? Sometimes the best strategy is to simply shut up. By asking others what they need and then embracing silence during negotiations, you can uncover valuable insights and avoid losing deals due to excessive talking.
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Salespeople can earn trust by genuinely listening to client needs instead of pushing their product. In a conversation, a CISO emphasizes the importance of understanding problems first, illustrating how this approach fosters a collaborative relationship. This shift from selling to partnership is crucial in the sales process.
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Felix, an automated assistant, improves sales processes nightly by analyzing past performance and making small adjustments. Utilizing two cron jobs, he reviews mistakes and enhances his system, ensuring continuous growth without direct oversight. This innovative approach not only boosts efficiency but also transforms the sales team's performance.
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In the world of sales, desperation can be a dealbreaker. Reflecting on their early careers, two sales veterans reveal how they learned that projecting confidence, rather than neediness, can dramatically improve sales outcomes. By adopting a more relaxed approach, they found that customers responded more positively, leading to greater success.
“… goes and tries to go on merchant a or B You can do this or you sign a new contract and you say I'm going to spend ten thousand dollars only With Salesforce and on the ten thousandth and one dollar they try to charge you It declines and what gets to happen you get to have a conversation with their sales team who really wants to make their budget And if you look at this mathematically For most companies that come over a low-end Maybe a very hygienic company that is more giving out a few cards in the old world You know could durably cut their expense about 2% a year by doing this some of these very …”
“… more than that merchant blocking So you can whether it's on one card or ten thousand cards at once building a kill switch to say, okay We've signed this new deal with this merchant. We're only on uber We are no longer taking lifts and anytime someone goes and tries to go on merchant a or B You can do this or you sign a new contract and you say I'm going to spend ten thousand dollars only With Salesforce and on the ten thousandth and one dollar they try to charge you It declines and what gets to happen you get to have a conversation with their sales team who really wants to make their budget And if you look at this mathematically For most companies that come over a low-end Maybe a very hygienic company that is more giving out a few cards in the old world You know could durably cut their expense about 2% a year by doing this some of these very laissez-faire Businesses are saving just 10% Just through these some things Next you start ending with these more fine-tuned kind of controls where you can say like under these circumstances I want to go and have kind of charges occur. Maybe you have an Engineer stay till 8 p.m. At night. You can go and you know buy a meal But if you take an uber on …”
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Businesses that adopt new technologies can save up to 10% on expenses by implementing smart spending controls. By using tools like single-use cards and merchant blocking, companies can prevent unnecessary charges and free up valuable employee time. This approach not only cuts costs but also empowers procurement teams with data-driven insights for better decision-making.
“… in Toronto in 2019, Cohere develops models and builds software tools for businesses. The company is backed by investors, including Nvidia and Salesforce Ventures, and its valuation has swelled to roughly seven billion dollars. Cohere's investor memo comes after CEO Aiden Gomez said in October that the startup hopes to make its public market debut, quote, soon. He told Bloomberg that he thinks investors would welcome a, quote, pure play AI investment opportunity. Cohere told investors that its capital efficient model sets it apart from its rivals in the industry. The company primarily generates …”
“… 2025, the memo said. Our thesis is clearly resonating in the market, the company wrote. Our sales pipeline continues to grow as global organizations across regulated sectors choose Cohere as their trusted partner for secure AI adoption at scale. Founded in Toronto in 2019, Cohere develops models and builds software tools for businesses. The company is backed by investors, including Nvidia and Salesforce Ventures, and its valuation has swelled to roughly seven billion dollars. Cohere's investor memo comes after CEO Aiden Gomez said in October that the startup hopes to make its public market debut, quote, soon. He told Bloomberg that he thinks investors would welcome a, quote, pure play AI investment opportunity. Cohere told investors that its capital efficient model sets it apart from its rivals in the industry. The company primarily generates revenue from software, and it said it can avoid hefty infrastructure costs because customers can run its models through their managed cloud services or on their own hardware directly. This approach allows Cohere to invest more aggressively in customer acquisition and research and development, according to its investor memo. Cohere's gross margins …”
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Cohere's annual recurring revenue skyrocketed to $240 million, surpassing its $200 million target, with a quarterly growth rate exceeding 50%. Founded in 2019, this Toronto-based startup is backed by major investors and is poised for a public market debut, thanks to its capital-efficient model that allows customers to run AI models on their own infrastructure. This strategic approach positions Cohere for sustainable growth in a rapidly evolving AI landscape.
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Many founders struggle with the concept of 'sell before you build' because they often see sales as a dirty word. A successful marketing agency owner shared her discomfort with sales, despite her achievements, highlighting a common fear among business owners: the belief that a good product should sell itself. The reality is that without embracing sales, many entrepreneurs remain stuck and unable to scale their businesses.
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Asking deeper questions can transform your connections and communication. By using a technique called the 'five reallys,' you can foster genuine empathy and understanding, especially in relationships and sales. This simple practice not only makes others feel heard but also reveals their true feelings and needs.
“… or so they think. So go meet with them. That's the interrupt part. The process part is like, I'll give you a good example. Somebody is going to out-Salesforce Salesforce, not for the hostages that they have, but is going to build the Greenfield version of Salesforce. Because how is that possible? Everybody hates using Salesforce. There's a new company that's going to do this better that's going to be AI native. How do we make sure that we are adept at finding, picking, and winning, and supporting that investment? Well, we believe in adverse selection versus positive selection. So a very inexpensive …”
“… from my wife and children's perspective, like a weekly occurrence right now where it's like, ah, gotta cancel this. I have to have dinner with this entrepreneur who has discovered that the fountain not of youth, but of perpetual motion, or so they think. So go meet with them. That's the interrupt part. The process part is like, I'll give you a good example. Somebody is going to out-Salesforce Salesforce, not for the hostages that they have, but is going to build the Greenfield version of Salesforce. Because how is that possible? Everybody hates using Salesforce. There's a new company that's going to do this better that's going to be AI native. How do we make sure that we are adept at finding, picking, and winning, and supporting that investment? Well, we believe in adverse selection versus positive selection. So a very inexpensive deal that has been hanging around the hoop for six months, that's probably bad. We don't want to meet with them. We want to meet with the best company. If it's the best company, every other venture firm also wants to meet with the best company, obviously. They're going to send out their big guns to go try to win that deal. And it's very hard to win …”
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In the competitive landscape of AI, aggregators are set to outshine big tech giants like Google by offering diverse model access. Just like using Kayak to find flights across multiple airlines, investors recognize that leveraging a variety of specialized models is key to success. This trend is reshaping the investment strategy in consumer AI, focusing on partnerships that prioritize expertise and market understanding.
“… but the public markets, the valuations are not doing well, probably with the exception of folks like ServiceNow. You know, you've seen folks like Salesforce and Workday and folks like that decline here. But talk me through your thesis on, again, you'll never have the perfect data, right? You have to have your data management in place, but I do think AI will help with that. So you have a data fabric that's accessible by the enterprise, and these agents can hit that data fabric with the right security, the right access. Talk to me about your thesis of how this rolls out. We've seen some public …”
“… SaaS companies with these down the line marketing, right, human resources. And you could see the leaders in these businesses. And what's interesting is, is we have seen, at least from a markets perspective, I know you deal with a different market, but the public markets, the valuations are not doing well, probably with the exception of folks like ServiceNow. You know, you've seen folks like Salesforce and Workday and folks like that decline here. But talk me through your thesis on, again, you'll never have the perfect data, right? You have to have your data management in place, but I do think AI will help with that. So you have a data fabric that's accessible by the enterprise, and these agents can hit that data fabric with the right security, the right access. Talk to me about your thesis of how this rolls out. We've seen some public battles between, you know, Mark Benioff and Satya Nadella, right, that seem to go on for a year. So there is tension in the system for sure. And I do a lot of CIO roundtables, and they're literally telling me, we are finding a way to get off of this software vendor. Yeah, so listen, let me just provide maybe the historical sober view of this, right? So …”
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AI is poised to revolutionize how enterprises make decisions, as it begins to replace human input in technical choices. This shift will redefine roles within IT teams and challenge traditional software vendor relationships. Understanding this transition is crucial for adapting to the evolving landscape of enterprise infrastructure.
“… us a good sense of where enterprise agents are right now. The first news that we're covering in this trend came about a week ago as Mark Benioff and Salesforce announced their new Headless 360 product. Not burying the lead at all with that name, right? Benioff tweets, Welcome Salesforce Headless 360. No browser required. Our API is the UI. Entire Salesforce and AgentForce and Slack platforms are now exposed as APIs, MCP, and CLI. All AI agents can access data, workflows, and tasks directly in Slack, voice, or anywhere else with Salesforce Headless 360. Faster build, agentic everything. So again, the …”
“… categories of quote-unquote users, as what their human users and their agentic users need will be fundamentally different. Over the last week or so, we've gotten a set of announcements that all relate to this new headless paradigm and also give us a good sense of where enterprise agents are right now. The first news that we're covering in this trend came about a week ago as Mark Benioff and Salesforce announced their new Headless 360 product. Not burying the lead at all with that name, right? Benioff tweets, Welcome Salesforce Headless 360. No browser required. Our API is the UI. Entire Salesforce and AgentForce and Slack platforms are now exposed as APIs, MCP, and CLI. All AI agents can access data, workflows, and tasks directly in Slack, voice, or anywhere else with Salesforce Headless 360. Faster build, agentic everything. So again, the whole concept here is the decoupling of agentic work from human interfaces. Right, Salesforce? For 25 years, using Salesforce meant working inside Salesforce. A customer service rep opened a console, clicked into a case, and manually updated its status. A human navigating a platform to get work done. But in the agentic enterprise, humans aren't the …”
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Salesforce has unveiled its Headless 360 product, transforming how software interacts with users by eliminating the need for traditional interfaces. This shift allows AI agents to navigate and execute tasks directly through APIs, fundamentally changing enterprise operations. The move signifies a major evolution in software design, catering to both human and agentic users.
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Despite her looks, a young woman struggles with confidence in sales, earning only $2,000 in three months selling cars. Encouragement from a friend highlights the importance of self-belief and leveraging her automotive passion for a better career. This conversation reveals how personal support can push someone toward growth and success in their professional life.
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The realization that infrastructure needs to be actively sold is reshaping the tech landscape. As charging stations and sky ports won't appear without strategic rollout, understanding this sales approach is essential for future tech developments. This shift highlights the importance of proactive infrastructure investment in the tech industry.
“… of realistic tasks and environments For example with a sales agent the hardest part isn't teaching it to mash buttons in a specific database in Salesforce It's training the agents judgment across ambiguous situations How do you sort through a database with thousands of leads to figure out which ones are hot? How do you actually reach out? What do you do when you get ghosted when an AI lab wanted to train a sales agent label box brought in?”
“… would know it like, you know people in rural rural parts that might not know it but but but like We would know it We don't have that now that there's very clear as Daria was ending at to get generalization You need to train across a wide variety of realistic tasks and environments For example with a sales agent the hardest part isn't teaching it to mash buttons in a specific database in Salesforce It's training the agents judgment across ambiguous situations How do you sort through a database with thousands of leads to figure out which ones are hot? How do you actually reach out? What do you do when you get ghosted when an AI lab wanted to train a sales agent label box brought in?”
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Despite the rapid capabilities of AI, its integration into large enterprises is slower than expected. While tools like Claude code can be adopted quickly by startups, larger companies face hurdles like compliance and procurement, illustrating that even powerful AI isn't a guaranteed instant success in the economy.
“… out, the more capable they are. It starts to raise questions about how fast they can recreate versions of popular but very expensive software. So Salesforce is a great example of this. There haven't been a lot of sort of alternatives in the market. And so now with a tool like Cloud Code, some people are saying, oh, we can just sort of code our own version of Salesforce. So that's sort of the context of this conversation. There's sort of this existential threat to software, and it's really been hitting some of the software stocks. Hard, right? I mean, Salesforce, Atlassian. Yeah, the sales forces, …”
“… happened? What was this throwdown and how did it come about? Okay, so I cover enterprise AI. And so for a while we've been seeing crazy releases. These new models, these new tools are coming out all the time. It's constant. So the more these tools come out, the more capable they are. It starts to raise questions about how fast they can recreate versions of popular but very expensive software. So Salesforce is a great example of this. There haven't been a lot of sort of alternatives in the market. And so now with a tool like Cloud Code, some people are saying, oh, we can just sort of code our own version of Salesforce. So that's sort of the context of this conversation. There's sort of this existential threat to software, and it's really been hitting some of the software stocks. Hard, right? I mean, Salesforce, Atlassian. Yeah, the sales forces, the work days of the world. companies like LegalZoom. There's been, I think, a trillion dollars lost in the markets over this. And you can argue about whether it's justified or not justified, but I think the idea is investors are spooked. But let's anchor this in Bloomberg. I think most people listening to this podcast may not know what the …”
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A viral debate erupted over the Bloomberg Terminal's future when tech enthusiasts claimed they could recreate its functionalities with a simple AI prompt. This $30,000-a-year software, vital for financial institutions, faced backlash from finance professionals who passionately defended its unique value against emerging AI tools. The clash highlights the tension between traditional finance and the rise of AI-driven alternatives.
“And I see that as a little bit of a bellwether because I think as Salesforce goes, so does a lot of enterprise software. And I think a lot of people are going to try and have to figure out what is the new business model in this headless world. You know, do you do you charge a little bit of a small just API tax? Is there a seat for the agent? So there's obviously some work to do with that. And Stephen, I saw one of your tweets on some of the complications there. But I think as a moment, it's a big deal because I think …”
“And I see that as a little bit of a bellwether because I think as Salesforce goes, so does a lot of enterprise software. And I think a lot of people are going to try and have to figure out what is the new business model in this headless world. You know, do you do you charge a little bit of a small just API tax? Is there a seat for the agent? So there's obviously some work to do with that. And Stephen, I saw one of your tweets on some of the complications there. But I think as a moment, it's a big deal because I think it's a recognition that software will be running in the background. It always has for machine users and applications. And now it is for these sort of probabilistic machine users or non-deterministic machine users. And what's cool and where I think this gets pretty exciting is, you know, as soon as I saw that announcement, like I had like five to 10 …”
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Headless SaaS will redefine enterprise software, allowing agents to function as users with their own permissions. This shift opens up a multitude of use cases, enabling organizations to leverage AI agents for tasks traditionally limited by human capacity. As a result, the business model for SaaS platforms must evolve to accommodate these intelligent entities.
“… The type of attributes, the fields that you track, that varies from company to company and vertical to vertical as well. Now, this is where the Salesforce platform comes in. So Propel is actually an ISV built on the Salesforce platform, right? So, and we can go into what that means. One of the key things that we derive as part of being on this platform is the extensibility of the platform. Now, what I mean by extensibility is, you know, the ability to define your domain in the most natural way for your particular vertical, right? Being able to track different attributes of different objects that …”
“… How is it flexible across all of those different verticals without becoming a big Frankenstein? Great question. Once again, you're right. The process, the kind of things that you do to manufacture each of these things is very, very different, right? The type of attributes, the fields that you track, that varies from company to company and vertical to vertical as well. Now, this is where the Salesforce platform comes in. So Propel is actually an ISV built on the Salesforce platform, right? So, and we can go into what that means. One of the key things that we derive as part of being on this platform is the extensibility of the platform. Now, what I mean by extensibility is, you know, the ability to define your domain in the most natural way for your particular vertical, right? Being able to track different attributes of different objects that are there, the relationships to be able to describe these things. And then extensibility at the process level. And also, so what I meant is the extensibility of the data model, the process, as well as the user experience level. Now, this level of extensibility is needed to be able to support different verticals, right? On top of that, MedTech …”
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Propel Software acts like Atlassian for physical products, enabling companies to manage diverse product lifecycles from med-tech to consumer goods. Their platform's extensibility allows customization for different industries while ensuring compliance and efficiency. This flexibility is crucial for meeting the unique challenges of various sectors, especially in regulated environments.
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