Sean Valentine
San Jose, California, United States
4K followers
500+ connections
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As Director of Enterprise Sales at JFrog, I leverage over seven years of experience in…
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4K followers
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Sean Valentine shared thisI spend eight minutes a day reviewing everything my AI agent did. I do not re-read the output. Here is exactly what I look at, and why that discipline is how the system actually runs. Every evening at six, the agent produces a wrap report. Four sections: what shipped, what is half-done, what is blocked, what the first action is tomorrow. I read the last two first. Blocked items and first action. If something is blocked and it is on me, that is where the day breaks. If it is on someone else, the agent already sent the nudge. The shipped section I skim. I do not re-read the cold emails it sent. The titles and counts are enough. Trust the system enough to not re-do the work. If I reread every output, I am not running an agent. I am running an expensive tool. With a human, I review people. With an agent, I review the system. If shipped trends down three days in a row, the agent is not tired ΓÇö something upstream broke and I have to find it. How do you review work done by others ΓÇö AI or human? Curious. #AIAgents #AIGovernance #BuildInPublic
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Sean Valentine shared thisMost teams don’t need more AI tools. They need an AI operating rhythm. I spend 8 minutes/day reviewing what my AI agent did. At 6:00 PM, I get one wrap report with 4 buckets: • Shipped • Half-done • Blocked • First move tomorrow The key rule: If something is blocked for 2 days, it escalates. That’s the shift: Less AI hype. More execution discipline. Manage AI. Don’t let AI manage you. How are you reviewing AI output without doing the work twice? #AIAgents #AIGovernance #CMO #Leadership #Automation #CarbonHelm
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Sean Valentine shared thisI've heard it from CISOs at companies with over 10,000 employees: "We have a no-AI policy." What they mean is: "We haven't approved any AI tools." What that actually means: their employees are using ChatGPT for first drafts, Copilot for code, and consumer Claude for summarizing meeting transcripts - on personal devices where the CISO has no visibility. A no-AI policy doesn't stop shadow AI. It just guarantees the organization has no logs, no contracts, no data handling agreements, and no clue what's going out. The organizations building AI governance frameworks right now aren't the reckless ones. They're the ones who decided "we're going to get visibility before this gets away from us." The CISO who says "we don't use AI" is the one who's going to be on the wrong side of a breach investigation asking why there's a trail of corporate data in a consumer model's training set. How is your organization handling shadow AI visibility? Have you found tools that actually work for detection, or is this still mostly honor system? #AIGovernance #ShadowAI #CISO
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Sean Valentine shared thisMy AI agent rejected my own proposal last week. It was right. I'd written a client proposal that hit all the notes I usually hit - scope, timeline, pricing, credentials. Looked clean to me. I sent it through my internal review pipeline before submission, same as any other. The agent flagged it. Said the scope was vague enough that the client could interpret the deliverable two different ways. And the pricing didn't account for a dependency I'd glossed over because I was moving fast. I pushed back for about ten seconds. Then I reread the proposal through that lens and realized the agent caught something I would have missed until the client called me on it. Here's the thing nobody talks about when they talk about AI agents: the best ones don't just do what you tell them. They become a quality gate you didn't know you needed. The relationship goes both ways. I built this system to handle execution. Turns out it also handles accountability - mine included. That's not a criticism of how I work. It's a feature of how the system works. When your operating partner catches your blind spots before a client does, that's not automation. That's an edge you can't hire. If you've built a system that's made you better at your own job - not just faster, actually better - I want to hear about it. What did it catch that you missed? #AIGovernance #AIAgents #Automation
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Sean Valentine reposted thisSean Valentine reposted thisI've used JFrog products for years. Finally got around to taking a course and I'm glad I did. Through out the course I was able to confirm what I already knew as well as learn new tips & tricks for Artifactory & Xray. Thanks Anthony for the help! If you routinely use a piece of software, I encourage you to take a course on it. You might learn a thing or two!JFrog Artifactory for Repository Management was issued by JFrog to Austin Derbique.JFrog Artifactory for Repository Management was issued by JFrog to Austin Derbique.
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Sean Valentine shared thisWhat an incredible year! I want to say a big thank you to my entire North American team for their continued efforts to empower developers across the globe. This year, the JFrog organization has made remarkable strides throughout the DevSecOps marketplace. I wanted to take a moment to acknowledge and thank my leading/exemplary soldier. Anthony Brown. The consistency demonstrated as the Top Rep each quarter is nothing short of incredible. Achieving the top performer status for one quarter is already a rare feat, but Anthony has consecutively secured this position in Q1, Q2, Q3, and Q4. Anthony, a heartfelt thank you for your dedication and attention to detail with every contract and client interaction. I am looking forward to seeing you lead the pack again in 2024 and beyond. #bettertogether Anthony Brown JFrog
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Sean Valentine reposted thisSean Valentine reposted thisThis past weekend, the world was shocked by an unprecedented surprise attack by Hamas militants on Israel during the 50th anniversary of the 1973 Yom Kippur war and the end of the Jewish Sukkot holiday. Hamas terrorists infiltrated communities in southern Israel, killing hundreds of civilians, as well as taking dozens of hostages back to Gaza - including women, children, active Israeli military officers and civilians that are citizens of Israel and many other global countries. This coordinated, murderous attack has prompted the Israeli government to declare war on the Hamas militant group, who currently control the Gaza Strip. We send our deepest condolences, prayers, and warmest thoughts of hope to all those who have been impacted by this tragedy, including JFrog employees called up for service, their families, our customers, and partners around the world. Our hearts are with you, and we will continue to support you with any assistance needed during this difficult time. We will also continue to support JFrog customers and partners with minimal disruption across our global business. We stand with Israel. We stand for peace. We stand against terror and destruction, and hope for better days ahead.
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Sean Valentine shared thisView my verified achievement from JFrog.JFrog Security Sales Certified was issued by JFrog to Sean Valentine.JFrog Security Sales Certified was issued by JFrog to Sean Valentine.
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Sean Valentine liked thisSean Valentine liked thisChatGPT vs Grok vs Gemini vs Claude vs Perplexity Everyone keeps asking which AI tool is the best. But the truth is they’re not built to replace each other. They’re built for different kinds of work. → Some help you think. → Some help you write. → Some help you research. → Some help you move faster. The real advantage today isn’t picking one. It’s knowing when to use each one. Because once you understand that, AI stops being a tool, and starts becoming your system. 1. ChatGPT Best for daily productivity: writing, brainstorming, coding, even planning your tasks. Basically your all-rounder work assistant. 2. Grok If your work involves trends, social media, or staying updated with what’s happening RIGHT NOW, this is your go-to. 3. Gemini Perfect if you’re deep in Google Workspace (Docs, Sheets, Slides). Great for collaboration and real-time info. 4. Claude Handling long reports, policies or deep reading? Claude is strong in understanding and summarizing complex stuff. 5. Perplexity Need accurate info with sources? This one is solid for research, fact-checking, and quick, reliable answers. The shift happening right now is simple: We’re moving from “one tool does everything.” To “each tool does one thing exceptionally well.” The advantage no longer comes from using AI. It comes from knowing which AI to use, when. → Remotive Curates active, fully remote tech jobs Trusted by top global tech companies https://lnkd.in/d8yRt6FQ (𝗚𝗼𝗼𝗴𝗹𝗲) 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗿𝗲𝗴𝗿𝗲𝘁 𝗻𝗼𝘁 𝘁𝗮𝗸𝗶𝗻𝗴 𝗶𝗻 𝟮𝟬𝟮6. 🔃10000+ courses from industry leaders: https://lnkd.in/gHy3Bu-6 Google Data Analytics https://lnkd.in/dF69UPKS Google Project Management https://lnkd.in/dyDdPT3C Google AI Essentials https://lnkd.in/gefFuz8P Google Prompting Essentials https://lnkd.in/gFtm_NdX Google Introduction to Generative AI https://lnkd.in/dBpavRzd Google Cybersecurity https://lnkd.in/dEkKJA57 Google UX Design https://lnkd.in/d8DCCrT9 Google Digital Marketing & E-commerce https://lnkd.in/d2dcwWyJ Google IT Support https://lnkd.in/gj7SEh22 Web Applications for Everybody https://lnkd.in/d7J_urhb Data Analysis with R Programming https://lnkd.in/dHqdPBVz IBM Full Stack Software Developer https://lnkd.in/dxg6NYns IBM Python for Data Science, AI & Development: https://lnkd.in/dxjgY8mx Microsoft Cybersecurity Analyst https://lnkd.in/g_WYd7iw Microsoft Power BI Data Analyst https://lnkd.in/gi2FQkf7 Generative AI for Cybersecurity https://lnkd.in/gyicuxb5 Generative AI for Data Engineers https://lnkd.in/gTBzGWB2 Generative AI for Data Scientists https://lnkd.in/gPUcZRRq Generative AI for Data Analysts https://lnkd.in/g-mCEN64 Microsoft Azure Data Scientist Associate https://lnkd.in/gaX-nhS3 Prompt Engineering https://lnkd.in/gZ79X7Ta Excel Skills for Business https://lnkd.in/gMPkSUkU Navigating Generative AI https://lnkd.in/gYqN7Wxs Leading Teams https://lnkd.in/gV7BthuX The Structured Query Language https://lnkd.in/gQuEKtHa
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3Sixty Insights
A $2B enterprise software provider just modernized its GTM stack—and the results speak volumes. With Gong (conversation intelligence), Outreach (sales engagement), Demandbase (ABM), Salesforce (CRM), and Adobe Marketo (marketing automation), they built an integrated, insight-driven revenue engine. Cross-functional alignment Streamlined MarTech Scalable seller adoption The full transformation? It’s a masterclass in strategic stack selection. Read the full #AnatomyOfADecision by Kyle James: https://hubs.la/Q03Bj__c0 #SalesTech #MarTech #B2BMarketing #RevOps #SalesEnablement #GTMTransformation
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Momentum Outbound
Most companies in competitive markets aren’t losing money because of bad sales teams… They’re losing money because of how long it takes to FIND customers who are ready to buy. And the cost of that delay? Far more damaging than you think. In our latest breakdown, we explain why remote BDR teams are becoming the secret weapon in high-competition industries like Energy, Telecoms & MSPs — and how they drastically reduce acquisition costs without hiring internally. Read the full breakdown here 👇 https://lnkd.in/e_gi65K6
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Homerun Presales
Presales Leader: “We want to show our impact.” Homerun: “How are you sharing your presales data across the org?” Presales Leader: “We have 3 SE fields in SFDC.” Homerun: “We need to chat…” Your SE/SC/SA team learns incredibly value information as they work their deals. That means you should be sitting on TONS of 'presales data' that no one else in your company has… but everyone wants. Examples? ----- 💰 SALES: What are the technical blockers putting deals at risk so we can strategize before we lose them? 🛠️ PRODUCT: What are the product gaps that are losing us deals so we get you work-arounds before we lose them... and so we can prioritize our roadmap to be more competitive? 🤝 POST-SALES / CUSTOMER SUCCESS: We want a pre-sales to post-sales transition that doesn't kill all the goodwill that you built up getting them to close... so tell us EVERYTHING you did, showed, talked about, tested, proved, are concerned about, and committed to during the entirety of the technical sales cycle! We want it ALL! 👋 PRODUCT MARKETING: What defines good vs. bad ‘technical fits’ to guide our ICP definitions, collateral creation, and lead gen efforts? 📈 C-SUITE: How can we close more deals, faster as a company to hit our revenue targets and growth goals? ----- You have the Presales Data to help all these teams be more successful… so… 💬 Share it 💪 Make an impact 💸 Show your value 🪑 Earn your seat at the table ----- Not sure how to capture all this presales data? Or even what data to capture? Worried about adding ‘admin burden’ to your SE/SC/SA team? Request a demo of Homerun Presales and let us show you the way: https://lnkd.in/g_85xBB2 There’s a reason Homerun is the #1 presales platform... that customers call Homerun "world-class presales in-a-box" with all the ‘presales AI’ you need... that we have an 8-year track record of success working with your fellow presales peers from publicly-traded companies to startups. Let’s chat. 😎
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Market Wavegen®
𝐖𝐡𝐲 𝐒𝐃𝐑𝐬 𝐒𝐡𝐨𝐮𝐥𝐝 𝐓𝐚𝐥𝐤 𝐋𝐞𝐬𝐬 𝐚𝐧𝐝 𝐋𝐢𝐬𝐭𝐞𝐧 𝐌𝐨𝐫𝐞 Most SDR conversations fail for one reason. They are optimized to push, not to understand. When reps lead with scripts, pitches, and premature value props, they miss the most important signal in the room. Buyer intent. 𝐖𝐡𝐚𝐭 𝐋𝐢𝐬𝐭𝐞𝐧𝐢𝐧𝐠 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐔𝐧𝐥𝐨𝐜𝐤𝐬 Clearer problem definition. Better qualification. Stronger handoffs to sales. Listening reveals timing, urgency, and internal dynamics that no talk track can surface. It turns discovery into insight, not interrogation. 𝐓𝐡𝐞 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐚𝐥 𝐒𝐡𝐢𝐟𝐭 𝐓𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 High-performing SDRs do not aim to impress. They aim to learn. They ask fewer questions, pause longer, and let buyers fill the silence. That is where real opportunity shows up. 𝐓𝐡𝐞 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲 If your SDR team is measured only on activity, they will keep talking. If they are measured on insight quality, they will start listening. #marketwavegen #SalesDevelopment #B2BSales #RevenueStrategy
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Execution Discipline for CROs and VPs of Sales
Most SaaS sales organizations don’t struggle with execution rigor. They struggle with what happens after rigor is introduced. Deal standards improve. Qualification language tightens. Forecast calls sound sharper. But under pressure, something breaks. Coaching collapses back into deal inspection. Managers review what is happening, not why it keeps happening. Skill gaps stay invisible until results flatten. The system holds. The capability doesn’t. Execution rigor without enforced coaching standards eventually eats itself. Most CROs don’t see this as a leadership problem at first. It looks like noise. Or variance. Or a talent issue. By the time it’s obvious, the damage is already done.
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demandDrive
Your SDRs move slow. Your market doesn’t. In 2025, sales teams win with agility. Markets shift. GTM strategies evolve. New products launch overnight. And if your SDR team can’t keep up, your pipeline’s at risk. Bad news: Most internal teams aren’t built to move that fast. Good news: Outsourced SDRs are. Here’s why they’re built for the modern sales org: 🔄 Pivot to new ICPs without missing a beat 🚀 Launch-ready teams, no hand-holding required 📊 Real-time reporting to optimize on the fly 🎯 Performance-based models (not just warm bodies in seats) The future of SDRs isn’t in-house—it’s on-demand. Want to pick the right agency to keep your pipeline fast, flexible, and future-proof? We’ve got the guide for you 👇
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Dwight Delap
Preparation wins deals. Now there’s a smarter way to practice sales conversations anytime, anywhere. 💬⚡ The Sandler AI Roleplay Coach® tool delivers adaptive, real-world scenarios and instant feedback to help sellers improve fast. It’s an effective way to build confidence, consistency, and coaching at scale. Anytime, anywhere. 🎥 See it in action! #SalesRoleplay #SalesCoaching #SalesSuccess
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The GTM Architects
Your SDR team costs $1.8M before they book a single qualified meeting. I used to hire SDRs. Now I deploy AI agents and one EA. Same output. 10x cheaper. Here's the math most revenue leaders miss: → $60-80K per rep → 40% quit after 6 months → $180K per year per SDR (all-in cost) → 10-rep team = $1.8M before first meeting booked Meanwhile, AI SDR platforms crossed a threshold in late 2025. They stopped being experimental. They started working. The result: → 7x increase in conversion rates → 500+ positive replies per month → 88% cost reduction This isn't about firing people. It's about math. Mid-market B2B companies don't have runway to burn $1.8M on headcount that takes six months to contribute. I'm writing a full breakdown of the AI agent stack that's replacing SDR teams — without breaking your GTM motion. Clay + n8n + AI SDR platforms. Real numbers. Real workflows. Real results from 2026. Subscribe to get it first: [https://lnkd.in/gUjXwTcu)
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Sales Caddy AI
Most AEs spend their days reacting. To leads. To timing. To whatever hits their inbox next. But top performers don’t just react — they *engineer control.* They protect their time. They prepare with intent. They measure what matters. And they stay on the line. Sales Caddy gives you the guardrails to make that discipline repeatable — prompts that drive action, data that reinforces habits, and clarity that compounds. Because revenue doesn’t reward effort. It rewards control. #sales #b2b #revenue #salesleadership #ai #salescaddy #revops #salesprocess #salesperformance #accountexecutive
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Legacy Executive Club
GTM success isn’t just about what you launch—it’s how your org plans and aligns before anything goes live. This month, Legacy members are opening up about how they run GTM strategy sessions: • Who’s in the room • What cadence works • What frameworks drive clarity • How they keep alignment from falling apart post-meeting No fluff. Just real operating models from senior leaders responsible for go-to-market results. If you’re looking for peers who actually share what works—Legacy might be the community for you. Learn more and request to join: https://hubs.ly/Q03vtwBm0 #GTMLeadership #LegacyExecutiveClub #CrossFunctionalAlignment #ExecutiveStrategy #RevenueLeadership #LeadershipCommunity
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S2W Media
𝗧𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗶𝘀𝗻’𝘁 𝘆𝗼𝘂𝗿 𝗦𝗗𝗥 𝘁𝗲𝗮𝗺. 𝗜𝘁’𝘀 𝘆𝗼𝘂𝗿 𝘀𝗶𝗴𝗻𝗮𝗹. In most B2B orgs today, the real challenge isn’t effort or headcount, it's focus. • SDRs spend hours chasing leads that aren't in-market • Personalization often defaults to "Hi {First Name}" • Sales cycles are longer than ever, while buyer engagement is happening behind closed tabs 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁? Wasted touches, burned budget, and pipelines that look full… until the quarter closes. 𝗡𝗼𝘄 𝗹𝗲𝘁’𝘀 𝗿𝗲𝗳𝗿𝗮𝗺𝗲 𝗶𝘁: 𝘄𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂𝗿 𝗦𝗗𝗥 𝘁𝗲𝗮𝗺 𝗼𝗻𝗹𝘆 𝗳𝗼𝗰𝘂𝘀𝗲𝗱 𝗼𝗻 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝘀, 𝗮𝘁 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗺𝗼𝗺𝗲𝗻𝘁, 𝘄𝗶𝘁𝗵 𝗺𝗲𝘀𝘀𝗮𝗴𝗶𝗻𝗴 𝘁𝗮𝗶𝗹𝗼𝗿𝗲𝗱 𝘁𝗼 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲 𝗯𝘂𝘆𝗲𝗿 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗰𝗮𝗿𝗲𝘀 𝗮𝗯𝗼𝘂𝘁? This is where intent data becomes a revenue lever, not just another tool. According to Demand Gen Report: • Companies using intent data see 2.5x conversion rates • Sales cycles shrink by 28% • 68% of marketers say it’s critical for ABM performance At S2W Media, we help marketing leaders solve this with a full-funnel, intent-driven strategy: • 𝗜𝗻𝘁𝗲𝗻𝘁 + 𝗳𝗶𝗿𝘀𝘁-𝗽𝗮𝗿𝘁𝘆 𝗱𝗮𝘁𝗮 𝗳𝘂𝘀𝗶𝗼𝗻, pinpoint buyers already researching your solution or evaluating your competitors • 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗹𝗲𝗮𝗱 𝘀𝗰𝗼𝗿𝗶𝗻𝗴, SDRs focus on verified, high-intent accounts • 𝗛𝘆𝗽𝗲𝗿-𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗼𝘂𝘁𝗿𝗲𝗮𝗰𝗵, informed by real behavioral signals, not assumptions The outcome? Predictable pipeline. Faster velocity. Higher ROI. No more guessing games. No more wasted touches. As marketers, we don’t need "more leads."We need better intelligence to drive a meaningful pipeline. If you're ready to align sales & marketing on who to target, when to engage, and what to say, let’s connect. 𝗥𝗲𝗮𝗱 𝗳𝘂𝗹𝗹 𝗯𝗹𝗼𝗴 𝗵𝗲𝗿𝗲 - https://lnkd.in/dq3Qbvzt
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