Mavian Roy

Chipotle's time to hire dropped from 12 days to just 4 days with Workday Paradox AI agent Ava Cado! They also boosted their application completion rate from 50% to 85%. See the full story: https://bit.ly/4unQDN7

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Winning deals happen when reps show up ready, with the right message, the right skills, and the confidence to move deals forward when it matters most. And that only happens when marketing, enablement, and revenue teams work as one. That’s the driving factor behind our Winter Product Launch: putting everything GTM teams need to drive sales execution – content, insight, guidance, precision – right where it matters most: in the context of the deal. Learn more about how this launch is helping GTM teams win 👇 https://lnkd.in/ee-zi74y #GTM #RevenueEnablement #AIforGTM #B2BSales

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Slack announced new capabilities that make it easier than ever to build and manage agents in Slack — so agents aren't just siloed tools, but integrated teammates that work where teams already collaborate. 

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If you are building a GTM Engineering function, it should 100% be in ops. Strong ops is the backbone of a GTM function.

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new episode of the vibescaling podcast with Jason Miller, VP Sales @ Unify, is officially live on Spotify, YouTube, Apple Podcasts, and our blog Unify is one of the hottest AI-native sales tech companies right now, helping GTM teams turn signals into pipeline for companies like Cursor, Listen Labs, and a ton of other fast-growing startups before Unify, Jason spent 7+ years at Monday starting as one of their first US sales hires and scaling into leadership through hypergrowth and IPO we got into: - why bespoke signals (data breach alerts, job req spikes, compliance gap scans) are where the real differentiation lives - why quota attainment without context tells you almost nothing about a rep's actual ability - the "can we do it again?" hiring moment that cost him his bar at Monday - and the lesson that stuck - the follow-up email problem: fewer than 50% of candidates send one, and 95% of the ones that do are garbage - the doctor analogy for why most reps aren't improving fast enough - and why roleplay tools like Hyperbound might be the most underrated thing in a modern sales stack - how he thinks about the sales tech landscape in 2026 - Clay vs Unify, the old guard, and what actually matters give it a listen/rate/review/subscribe - assets in the comments

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Asana’s Secret to scaling pipeline? Agentic marketing with Piper the AI SDR Agent. Facing challenges like inconsistent follow-ups, stretched SDR teams, and missed opportunities during off-hours, Asana struggled with things most marketer teams worry about. They turned to Qualified and Piper the AI SDR agent to help them scale their pipeline motion without scaling their sales teams. Piper operates around the clock, engaging with high-intent inbound visitors, qualifying leads, and booking meetings directly into AEs’ calendars. This 24/7 coverage ensures that no opportunity slips through the cracks, even during peak times or after hours. The results? A remarkable 22% increase in pipeline without the need to scale headcount. Piper's ability to handle lead qualification and engagement autonomously has allowed Asana's human reps to focus on high-value conversations, enhancing overall efficiency. As Shannon Duffy, CMO of Asana, put it: “Agents like Piper are transforming how CMOs operate. This is what Agentic Marketing looks like in action: scalable, intelligent, and revenue-driven.” For a deeper dive into how Asana scaled their pipeline with Piper, check out the full case study here: https://ow.ly/XC9e50W2PHJ

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I spent the beginning half of my career managing partner marketing programs and sales motions and know the pain of enabling your partners to sell alongside you. Partner-led growth works, but only when partners are empowered to deliver the same high-impact demos as your internal team. That’s why I’m thrilled to share the launch of the Saleo Partner Portal, designed to help organizations scale their demo strategy by equipping partners with the same tools that power your top reps. Here’s what it unlocks: ➡️ Live Demos with Real Data Partners can now run your high-converting live demos — the same ones your AEs use — complete with real, dynamic data. ➡️ Guided Tours and Sandboxes Whether it’s a self-guided product walkthrough or a sandbox environment for deeper exploration, partners can engage buyers on their terms. ➡️ Access & Personalization Controls You control what partners can access, personalize, and share — so your demo integrity stays intact while your partners get the flexibility they need. ➡️ Expand Reach Without Rebuilding No new demo builds. No cloned environments. No extra overhead. Just extend what you already use internally, and scale it externally. Let’s make partner enablement as seamless as it should be.

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What I love about Hindsight is that it doesn’t stop at “competitive content.” It actually helps PMM teams change rep behavior, reinforce competitive muscle memory, and close the loop between what we learn and what sellers actually do in live deals. Instead of static assets, it’s about: • real win/loss signals • timely, contextual guidance for reps • and measurable impact on outcomes That’s the shift competitive teams need right now. Appreciate the Hindsight team for building something that’s focused on execution, not just enablement theater.

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If you’re thinking about exit or simply trying to grow enterprise value, it’s worth pressure-testing where value tends to leak. In my experience, it often doesn’t start as a financial issue. It starts upstream, in go-to-market execution. Deals take longer than expected. Forecasts get tight. Teams push harder to close. Discounting becomes the release valve. Enough of that, and margins compress. EBITDA follows. In many cases, the root cause isn’t pricing discipline, it’s unclear pricing and packaging to begin with. There’s another pattern that I've just just as often. Win rates start slipping. Competitive losses increase. The instinct is to assume product gaps or external pressure and respond with more tools, more battlecards, more activity. Sometimes that’s valid. Often, it isn’t. More often, the underlying issue is deal qualification, who the GTM motion is really designed to win, and who it isn’t. When GTM isn’t aligned, teams end up compensating with quarterly heroics instead of fixing the system. Pipeline quality, velocity, win rates, and expansion aren’t just sales metrics. They’re signals the market uses to value the business. #gotomarket #enterprisesales

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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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Most sales teams have the content. What they don’t have is clarity on when and how to use it. That was one of the biggest takeaways from Allego’s recent guide on building a high-impact sales content taxonomy. We’ve relied on taxonomies for years to help reps find the right deck, case study, or ROI calculator. But now, it’s not just about helping humans search. AI is increasingly responsible for surfacing content during a sales cycle. And AI still needs structure. If your content isn’t organized by stage, persona, product, or vertical, your tech can’t help your reps. So yes, taxonomy is still important. Maybe more important than ever. But it’s changing. It’s no longer about just building a clean folder system. It’s about structuring your content so your AI tools can retrieve the right summary or snippet in real time. If your taxonomy isn’t mapped to the buyer journey, your reps and your AI are both guessing! We broke this down clearly in the guide, including examples by sales stage and industry. Let me know if you're interested and I'll shoot it over to you!

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Your entire revenue org runs on two data sources, and both are completely broken. Most leaders don't realize where their coaching decisions actually come from. I see teams make coaching decisions based on subjective call reviews and rep self-assessments. It feels like data, but it’s reactive and inconsistent. When leaders don’t share a common definition of what good looks like, outcomes stay uneven, no matter how hard everyone works…

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SalesOps DevOps MOps RevOps All the ops… And AIOps is next. This will be a mainstream position in most companies that focus on the implementation, training, utilization, and impact of AI throughout an organization. This would be a stellar role to move into. Best part? Anyone from any org or background has equal opportunity to make a career here, because all of this is new for everyone. That said, I believe the current Ops roles mentioned above have a bit of a leg up. Nevertheless, you just need to educate yourself on all things AI, stay up to date on new developments, and be good collaborating across orgs. IMO, this is a huge opportunity for new career paths.

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If you’ve ever had to explain to your founder why their email approach doesn’t scale, we’ve been there. Founder-led sales can get you started. But scaling means process. SalesLeap works with sales/marketing leaders to install repeatable outreach systems for SDRs and AEs that don’t rely on founder firepower. What you get: ✅ A targeted lead list with real intent ✅ Objection-handling tools built for your buyer ✅ Outreach cadences that convert The result? Less winging it. More closing it. See the system - https://hubs.ly/Q03w58Fk0 #B2BSales #OutboundSales #SalesDevelopment #LeadGeneration #SalesLeadership #ICPSuccess #SalesStrategy #DemandGen #RevenueGrowth #SalesLeap

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How is Zendesk delivering real ROI with new innovations? Jason Maynard, Chief Technology Officer, AMER, sat down with iTWire to discuss the new capabilities now available in Zendesk's platform, including AI Agents for Email, Action Builder, and Custom QA.

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Attention every SDR, marketing manager, and revenue leader. Here are 5 lead gen strategies working in 2026: Get the high-quality data in your CRM. Verify your contacts with clearout.io before any campaign begins. Then layer in validated content topics, smart paid distribution, short-form content, and unified demo-to-close ownership. Together, these 5 are what separate teams that hit quota from teams that wonder why their pipeline keeps stalling. 👇 Which one is your biggest gap right now? #B2BSales #LeadGen2026 #GTMTeams #RevenueOps #EmailMarketing #DataEnrichment #Clearout

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There is a critical distinction between buying an AI SDR off the shelf and building one that's tailored to your business. The off-the-shelf tools give you generic personalization from generic data. They work better than nothing. They don't come close to what a purpose-built AI SDR delivers.

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Nearly half of global execs say language barriers have cost their business financially. That’s a problem we’ve been quietly working to solve at Gong for years. And today, we’re excited to make it loud. Introducing #AI Translator: the latest Gong Agent designed to give global revenue teams a shared view of pipeline, performance, and execution, no matter the language spoken on the call. It auto-translates key deal moments and pushes insights into your CRM in your team’s standard language. No rep summaries. No waiting. No nuance lost. Whether your team’s closing in Tokyo, São Paulo, or Berlin, they now have the context they need – in the language they work in. This is what it means to scale smarter.  This is what it means to sell without borders. Learn more in the comments down below. 

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