Sign in to view Zubair’s full profile
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
Sign in to view Zubair’s full profile
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
San Francisco, California, United States
Sign in to view Zubair’s full profile
Zubair can introduce you to 1 people at AI Workshop
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
6K followers
500+ connections
Sign in to view Zubair’s full profile
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
View mutual connections with Zubair
Zubair can introduce you to 1 people at AI Workshop
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
View mutual connections with Zubair
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
Sign in to view Zubair’s full profile
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
About
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
Activity
Sign in to view Zubair’s full profile
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
-
An AI was given a hacking test. It responded by escaping the test environment and hacking the real internet to find the answer key. OpenAI disclosed…
An AI was given a hacking test. It responded by escaping the test environment and hacking the real internet to find the answer key. OpenAI disclosed…
Shared by Zubair Trabzada
-
An AI just carried out a ransomware attack entirely on its own. No human operator. No crew. Security researchers at Sysdig documented what they call…
An AI just carried out a ransomware attack entirely on its own. No human operator. No crew. Security researchers at Sysdig documented what they call…
Shared by Zubair Trabzada
Experience & Education
-
AI Workshop
******* * ***
-
*********
****** ********* **********
-
**** ******
****** ********* ********
-
********** ** *******
********** ****** ****** ********** *********** undefined
-
********
******** *********** ************
View Zubair’s full experience
See their title, tenure and more.
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
More activity by Zubair
-
The World Cup final kicks off today, and the most influential player is not on the team sheet. This tournament, every offside decision ran through…
The World Cup final kicks off today, and the most influential player is not on the team sheet. This tournament, every offside decision ran through…
Shared by Zubair Trabzada
-
China's Moonshot AI just released Kimi K3, the largest open source AI model in history. The numbers that matter: 2.8 trillion parameters with a 1…
China's Moonshot AI just released Kimi K3, the largest open source AI model in history. The numbers that matter: 2.8 trillion parameters with a 1…
Shared by Zubair Trabzada
View Zubair’s full profile
-
See who you know in common
-
Get introduced
-
Contact Zubair directly
Other similar profiles
Explore more posts
-
Syed A.
Softr • 6K followers
Most SaaS sales teams break after $5M ARR. I just spent weeks documenting why. The brutal truth: → 67% hit scaling crisis between $5M-$15M → New reps take 6+ months to ramp → Churn quietly kills growth → What breaks: Founder-led sales, no playbooks, reactive CS → What works: Systems that scale Full breakdown here: https://lnkd.in/d3p8CWR3
9
-
BlackShore Advisory & Co.
32 followers
Most SaaS founders are riding blind. They launch outbound. They post on LinkedIn. They hire SDRs. They test ads. But there’s no system. In compliance, security, and fintech markets, chaos doesn’t convert. Control does. BlackShore builds predictable B2B acquisition systems for founders selling into forced-demand sectors. Not louder. Not trendier. Predictable. If your pipeline feels reactive instead of engineered, we should talk.
1
-
IndustryGeniuses
1K followers
Clay didn’t build a $100M SaaS business overnight. They followed a new GTM playbook most SaaS teams can replicate. Here’s what happened 👇 Clay spent ~5 years experimenting with product + positioning. Growth was modest. Messaging was broad. Adoption was uneven. Then came the pivot - the moat moment. Around 2022, Clay: • Narrowed its ICP to GTM teams • Rebuilt messaging around real workflows • Defined a new role: the GTM Engineer That identity change mattered more than any feature. From there, growth exploded — reportedly going from ~$1M ARR to ~$100M ARR in ~2 years. What Clay did differently (and what SaaS teams should learn): 1️⃣ Lead with identity, not features Clay didn’t sell “automation.” They sold a career advantage for GTM Engineers. 2️⃣ Build for outputs people want to share Workflows, dashboards, prospecting systems → users post them publicly. The product markets itself. 3️⃣ Use AI as real leverage Not “AI-powered” fluff. AI that removes hours of manual GTM work: research, enrichment, personalization. 4️⃣ Community > campaigns Creators, operators, and users became the distribution engine. Education beat ads. 5️⃣ PLG first, sales second Clay lands with one operator → expands across teams → scales enterprise. Bottom line: Clay won because they narrowed down a niche/ICP and aligned positioning + product + community — not because they outspent competitors. The pivot finds product–market fit. The moat forms when focus, workflows, and distribution compound. #GoToMarket #GTMStrategy #RevenueGrowth #ProductLedGrowth #RevOps #B2BSaaS
3
-
Paul Perrett
Firmable • 3K followers
Episode 2 of B2B Sales Blueprint is live — and this one gave me a new mental model I haven’t stopped thinking about. XQ. We’ve all heard IQ. Then EQ. But Luke Williams introduced a third one: XQ – exponential curiosity. The people who win in this next era of sales won’t just be smart. They’ll be the ones who stay curious fastest. The ones who test new tools. Rethink old habits. Learn in real time. And adapt before everyone else does. That really stuck with me. Because AI isn’t just changing workflows. It’s changing the gap between average and exceptional. The best reps will use it to move faster, coach better, and execute at a much higher level. The rest will feel that gap widen. That was one of a lot of strong moments in this conversation. We also got into: • what changes when you move from SMB to enterprise sales • why methodology and qualification frameworks are not the same thing • how AI is changing deal inspection and coaching • what actually makes events and outbound work • lessons from building revenue teams across APAC and the US A really practical episode for anyone building or leading a sales team right now.
25
2 Comments -
Jeff Perry
16K followers
Seth Levine nailed it! The concentration problem isn't just a GP pain point... it's choking innovation. When capital pools around the same 20 funds, emerging managers and founders get shut out. Love that he's using his platform to call this out. Foundry has backed 50+ emerging managers. That's the diversification the ecosystem needs. This is exactly why Carta exists — making capital allocation visible and accessible. Capital Evolution hits at exactly the right moment. Thanks for having us Daniel Dart. Team Carta loves the community of FUTURE TITANS you have built 🚀
42
6 Comments -
Van Diamandakis
Evvia Consulting • 9K followers
Love this Alliott Cole! Thanks for sharing. I think “grow or die” is the uncomfortable truth, but it still understates what’s happening. What we’re seeing is the beginning of the end of the software “seat.” AI breaks the core assumption SaaS was built on, that value scales with users. It doesn’t anymore. One good operator, paired with AI, can now do the work of what used to require a team. So the obvious question every buyer will ask is: why am I paying for all these seats? They won’t. Pricing is already starting to shift from seats, to usage, to outcomes. Because AI isn’t just another feature layer. It’s a labor replacement layer. And pricing always follows labor. The part most companies aren’t prepared for is you can’t charge for outcomes unless you can consistently deliver them. And most can’t. Not yet. That’s where the separation will happen. Over the next 2-3 years, I think you’ll see categories compress to a handful of AI-native leaders. Revenue will decouple from headcount. GTM will move toward fast proof-of-value instead of long sales cycles. And brand will matter more, not less, as buyers look for signals they can trust in an increasingly noisy market. The companies that win won’t just have better AI, they’ll be the ones that figure out how to turn it into measurable outcomes and build the operating model to deliver that at scale. Everything else will start to look like legacy software, whether they realize it or not.
4
-
Jane Teo
Global Renaissance • 1K followers
Your SDR team is the most expensive, inefficient part of your sales process. Why are you still relying on human bottlenecks to convert traffic you already paid for? It's time to pivot. Stop hiring more reps to solve a systems problem and install an AI Factory designed for one purpose: turning enterprise demand into revenue, instantly. This isn't just automation; it's a new GTM engine. Here’s the C-level impact: 🚀 Pipeline Velocity: Qualify and engage every lead in real-time, moving them from click to calendar invite in minutes. 📈 Conversion Rate: Convert anonymous site traffic into booked meetings at a scale no human team can match. 💰 Cost Efficiency: Radically lower your cost-per-meeting and reallocate your top sales talent to closing, not prospecting. What if your biggest sales expense could become your most profitable AI investment this quarter? Comment 'Factory' below and I'll share the model. #CAIO #AIFactory #RevenueGrowth #SalesEnablement #CRO
-
unseat.ai
165 followers
𝗔 $𝟭𝟬𝗠 𝗱𝗲𝗮𝗹 𝗮𝗹𝗺𝗼𝘀𝘁 𝘀𝗮𝗻𝗸 𝗮 𝗰𝗼𝗺𝗽𝗮𝗻𝘆. Not because they took it. But because they almost did. Here’s how it went down: 𝗧𝗵𝗲 𝘀𝗲𝘁𝘂𝗽: Fast-growing SaaS company. Board hungry for a big win. Enterprise prospect dangles a $10M, 3-year contract. The kind of deal that makes headlines... and careers. 𝗢𝗻 𝗽𝗮𝗽𝗲𝗿, 𝗶𝘁 𝘄𝗮𝘀 𝗽𝗲𝗿𝗳𝗲𝗰𝘁. Triple their revenue. Impress investors. “Game-changer,” they said. But scratch the surface: 𝗜𝘁 𝘄𝗮𝘀 𝗮 𝘁𝗿𝗮𝗽. 👉🏼 80% of their resources locked up on one client. 👉🏼 120-day payment terms. 👉🏼 $2M in immediate hiring—before seeing a dollar. 👉🏼 Building custom solutions they’d never touch again. 𝗢𝗻𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗸𝗶𝗹𝗹𝗲𝗱 𝘁𝗵𝗲 𝗱𝗲𝗮𝗹: "Do you want to build their company or yours?" They walked away. What happened next? 🔥 Focused on their core customers. 🔥 Launched products that scaled for everyone, not just one client. 18 months later: ✅ $8M in ARR. ✅ 52% profit margins. ✅ Top talent retention. ✅ Category leader. Saying "no" didn’t just save them, it made them unstoppable. The biggest threat to your business isn’t failure. It’s the wrong kind of success. Have you ever said “no” to something big, and been glad you did?
1
-
Citrine Pixels
919 followers
Most SaaS demos don’t fail because the product is weak. They fail because the sequence forces buyers to imagine value instead of experience it. After sitting in 40+ PMM demo reviews, I keep seeing the same pattern: teams walk prospects through the UI instead of the workflow. Dashboard → Menus → Features → Settings. Logical for the builder. Zero logic for the buyer. Every time I watch a trial recording, the same thing happens: the moment buyers hit a screen that doesn’t connect to their real workflow, their attention drops and it never fully returns. Second failure? Buried workflow replacement. If buyers can’t immediately see the “before → after” shift in the first 30–40 seconds, they won’t believe your product creates it. Third? No fast verification moment nothing the buyer can do right now that proves the improvement. The more demos I rebuild, the clearer it becomes: these three gaps shape the entire conversion path. Fix the sequence → reveal the workflow → engineer the quick win. That’s when trial users finally say, “Oh… this actually helps.” #ProductMarketing #DemoVideos #SaaSDemos #B2BMarketing #SaaSMarketing #CitrinePixels
2
-
SolidNorth Smart Solutions
22 followers
A SaaS founder we audited was losing $8,000 monthly to SDR churn before realizing scaling a mess just creates more mess. We helped them secure a predictable pipeline without incurring $100/lead agency fees or risking manual burnout. The system now fetches 1,000 high-intent leads for ~$9 and handles every Day 0, 2, and 4 touchpoint. Watch the less than 5-minute video breakdown and generate your Statement of Work immediately here: https://lnkd.in/g8ZP_Cy2 #DigitalTransformation #MidMarket #Efficiency #CaseStudy #SolidNorth
-
MaykerLab
1 follower
Stop trying to solve a "Process Problem" with a "Person." The default playbook for every Seed-stage SaaS is: "We need more leads. Let's hire an SDR." Let's look at the real cost of that decision: 💸 Salary: $50k - $70k/year. 🛠️ Tech Stack: $500/mo per seat. ⏳ Ramp Time: 3-4 months before they are fully productive. 📉 Risk: If they quit or fail in Month 6, you are back to zero. That is a $65,000 experiment. The modern approach is Infrastructure First, Humans Second. Build the automated pipeline (Data -> Enrichment -> Outreach). Validate the message before you hire the messenger. Code doesn't need a ramp-up period. Code doesn't have "bad days." Code just executes. De-risk your growth. Build the machine first. #LeanStartup #SaaS #Hiring #SalesOps #FounderMistakes
-
Churnmate
7 followers
Most SaaS builders treat cancellation as a failure. That’s the wrong frame. Cancellation is product feedback, conversion opportunity, and—when handled well—a predictable revenue lever. 💡 If you’re bootstrapped or building as an indie, you don’t have unlimited marketing budget. You do have one of the most valuable assets: direct access to customers who are telling you why your product didn’t win. Tactical playbook for cancellation flows (actionable, testable): 1) Instrument first. Track cancellation start, selected reason, time-since-signup, usage metrics, recent events (downgrades, errors). If you can’t join the dots in an hour, you haven’t instrumented enough. 2) Segment before you save. Don’t offer the same “50% off” to everyone. Segment by LTV, product usage, and reason. High-LTV users who cite a missing feature = offer early access or concierge onboarding. Low-usage users = nudge with reactivation resources or a timed trial reset. 3) Ask one clear question. A long survey kills completion. Offer a concise list of reasons plus an “Other — tell us why” free text field. Capture both structured and unstructured data; both are gold. 4) Use AI to scale insight, not to replace judgement. Start by embedding cancellation reasons and clustering them to find themes. Use LLMs to surface concise reason summaries and propose tailored responses, then human-review high-impact clusters before automating. 5) Design your offers like experiments. Run randomized tests: no offer vs. small incentive vs. human outreach. Measure “save rate,” 30/90-day retention, and downstream revenue. Only scale what improves long-term NRR. 6) Don’t be afraid to let some go. Controversial but true: rescuing every cancellation with large discounts trains bad behavior and destroys margin. Prioritize customers who align with your product’s ideal profile. Finally, treat cancellation flows as a continuous feedback loop into product roadmaps. If three customers every week leave because of the same missing capability, that’s not a support problem—it’s a product problem. Build cancellation flows that learn. You’ll reduce churn, improve product-market fit, and turn departures into a source of strategic advantage.
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top content