Open to AE or GTM Engineering roles | Call me: 727 637 2778 | Follow to find out what the heck Clay.com actually does | Will do a paid post for $1,000,000

Full cycle AE  and GTM Engineer specializing in early stage SaaS companies going from 0 -> Unicorn status.

Worked for companies backed by the biggest names in VC. Base10, Ridge, Susa Ventures, Altos, Alt Capital, Greylock and Microsoft. 

Taking big swings :)

🏍benyamin ‎

I'm joining AirOps as a GTM Engineer.

I gotta say this was a weird one, I had at least 3 people reach out to me separately, maybe more, telling me they were hiring for this role and that I should look into it. Once I did it became very obvious I should seriously consider talking to these folks. 

If you've followed me for a while, you know I've avoided purposefully GTM tech. The market is fickle. Costs are deflationary. And I think seat-based SaaS pricing is going to buckle under the weight of headless tools and agents operating APIs way more efficiently than humans ever would. 

So why break my own rule?

Because AirOps isn't selling more seats or licenses or a fancy workflow, they're solving for how businesses get discovered in a world where brands are found through prompting and not SEO. 

Google built the infrastructure for how we found information for 25 years. It's not dead yet, but when you look at the buyers of the next five years, they will not be relying on the first page of Google anymore. 

ChatGPT, Perplexity, Gemini, Copilot, Rufus on Amazon. The way people find answers is fragmenting across general-purpose AI, shopping AI, and proprietary search engines we haven't even seen yet. Most companies have no idea how to show up in those contexts.

AirOps is building the workflows that help them figure it out. And as more AI search vectors emerge, I think we're positioned to capture that market.

People have asked me why I decided to make this move. The reason is simple. if AirOps gets the technology right and grabs enough land early enough, this is a chance to ride one of the biggest technological shifts of the modern era.

Thank you to Eoin Clancy and Lucas Hulleberg for the opportunity. And to all the other team members I haven't met yet who have built something that I will get to grow. 

Travis Tyler accepting a role here had a non-zero effect on my decision. I was mulling over whether to make a move when I heard he started here, and I figured there must be something to it. He's a pretty discerning guy. 😉

AirOps is looking to grow headcount very aggressively this year. If you are looking for a new role with high performing folks - please reach out to me, I will connect you with the right person.

P.S. Sweater not real

No alternative text description for this image

📂 GTM Engineering
  ┃
  ┣ 📂 Prospecting & Enrichment
  ┃ ┣ 📂 Contact Discovery
  ┃ ┣ 📂 Multi-Source Enrichment Chains
  ┃ ┣ 📂 ICP Fit Scoring
  ┃ ┗ 📂 Intent Signal Detection
  ┃
  ┣ 📂 Outbound Engine
  ┃ ┣ 📂 Email Sequencing
  ┃ ┣ 📂 Sender Infrastructure & Warmup
  ┃ ┣ 📂 Persona-Based Copywriting
  ┃ ┗ 📂 Reply Classification
  ┃
  ┣ 📂 CRM Automation
  ┃ ┣ 📂 Salesforce Operations
  ┃ ┣ 📂 HubSpot Sync
  ┃ ┣ 📂 Pipeline Reporting
  ┃ ┗ 📂 Data Hygiene
  ┃
  ┣ 📂 Meeting Intelligence
  ┃ ┣ 📂 Transcript Processing
  ┃ ┣ 📂 MEDDPIC Extraction
  ┃ ┣ 📂 Follow-Up Generation
  ┃ ┗ 📂 Deal Stage Automation
  ┃
  ┣ 📂 Account Research
  ┃ ┣ 📂 Prospect Briefs
  ┃ ┣ 📂 Tech Stack Detection
  ┃ ┣ 📂 Web Scraping & Crawling
  ┃ ┗ 📂 Competitive Analysis
  ┃
  ┣ 📂 AI Visibility
  ┃ ┣ 📂 Answer Engine Optimization
  ┃ ┣ 📂 Structured Data / JSON-LD
  ┃ ┗ 📂 AI-Search Publishing
  ┃
  ┣ 📂 Workflow Orchestration
  ┃ ┣ 📂 Task Management
  ┃ ┣ 📂 Visual Dependency Boards
  ┃ ┣ 📂 EOD Reporting
  ┃ ┗ 📂 Team Dashboards
  ┃
  ┗ 📂 Self-Healing Infrastructure
    ┣ 📂 Auto-Correcting API Docs
    ┣ 📂 Reusable Script Library
    ┣ 📂 Automated Smoke Testing
    ┗ 📂 Persistent Memory

I started putting my GTM work in a GitHub repo. Not code in the traditional sense. Operational logic. API schemas, enrichment routing, slash commands, context files that teach my AI copilot how to do my job.

It started as a practical problem. Everything I'd built at Cyft lived on my local machine. If my SSD died, a huge chunk of how I actually worked would die with it. GitHub was the obvious fix.

But it turned into something bigger. When I accepted my offer at AirOps, I had three weeks before my start date. So I started prepping a brand new repo for the new environment. Currently I'm building the scaffolding for all new and improved raw code and slash commands that I'll be running in Claude Code at Airops

Example of things I'm building: When I was at Cyft I had a growth meeting command that would pull from three APIs and compiles a structured agenda. Salesforce, Email Bison and Typeform to form a holistic picture of our funnel. At AirOps, the tools will be different. The architecture and ideology transfers. 

I think GTM engineers are going to start maintaining repos the way software engineers always have. I think highly technical revops teams are already started to resemble SWE teams more than the revops of 2015. 

If I were interviewing a GTM engineer today, I'd ask if they have a Github I could look at. I wouldn't expect it. But I'd ask. Not because the code matters that much, but because it signals how someone thinks about their work. Systems vs. tasks. Reusable vs. disposable.

Wrote the full breakdown 👇

Toward the tail end of my time at Cyft, I started seeing an existential threat to my work. All of the workflows, Claude Code slash commands, API integ

Open article: GTM Engineers Should Have Github Repos by 🏍benyamin ‎ • 6 min read

if you sell API-based SaaS and you're not optimizing your site for Cursor, Claude Code, and the other coding agents... you're about to get cooked by those who are.

I believe in the future these agents will sign up for services on my behalf, run test queries against real data, and benchmark outputs head to head. The evaluation stage of buying dev tools is about to skip humans entirely. And honestly I trust Claude Code to evaluate many of these outputs much better than I'm able to. 

This is what we're building for at AirOps. AI search isn't just ChatGPT and Perplexity anymore. 

Buying decisions are happening inside coding agents, IDE environments, SaaS-embedded chatbots. 

If your content isn't structured for machines to read and evaluate, you're invisible to an entire buying motion that's growing faster than any of us expected.

There's already more agents on the internet than humans. Soon they won't just be reading and reporting, but making decisions. Real business decisions with real dollar amounts attached to them. This is already happening at small scale. 

I had Claude Code buy some domains for me on Dynadot earlier this week. Now this is a small example, right? But an example nonetheless. I loaded up some money to Dynadot, fed Claude all the domains we currently owned and asked it to make some new ones and then go buy them throug the Dynadot API... That's a microcosm of what's about to start happening at many companies. 

Hope you're getting ready for it :)

how to source candidates from your own linkedin network for $40 and make 5k in commissions
 
if you're a seller with a big linkedin network, you're sitting on a recruiting side hustle. most recruiters charge 15-25% of base salary per placement. that's $20-40K per hire. you can do the same thing with your own connections and a claude subscription.
 
here's what I'm building right now to support AirOps 3x headcount growth this year and hopefully pick up some fat checks :)
 
𝘀𝘁𝗲𝗽 𝟭: 𝗲𝘅𝗽𝗼𝗿𝘁 𝘆𝗼𝘂𝗿 𝗹𝗶𝗻𝗸𝗲𝗱𝗶𝗻 𝗱𝗮𝘁𝗮
 
go to settings, data privacy, get a copy of your data. linkedin gives you a full dump. every connection, their title, company, location. takes about 2 or 3 hours to process. load it into a SQLite database so you can actually query it without spending 9000 tokens on looking for a contact
 
𝘀𝘁𝗲𝗽 𝟮: 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘆𝗼𝘂𝗿 𝘁𝗮𝗿𝗴𝗲𝘁 𝗿𝗼𝗹𝗲𝘀
 
i scraped 31 job descriptions from our Ashby careers page and broke each one into structured criteria. required skills, seniority level, relevant companies, tech stack, years of experience. this becomes your matching rubric.
 
𝘀𝘁𝗲𝗽 𝟯: 𝘁𝘄𝗼-𝘁𝗶𝗲𝗿 𝗺𝗮𝘁𝗰𝗵𝗶𝗻𝗴
 
tier 1 is keyword matching. titles, companies, skills. fast and free. filters 10K connections down to a few hundred plausible candidates per role.
 
tier 2 is where it gets good. i use exa to pull enriched linkedin data on tier 1 matches, then feed those profiles into claude code to score against each role. work history, tenure patterns, location, tech stack overlap. things a keyword match misses.
 
𝘀𝘁𝗲𝗽 𝟰: 𝗲𝗻𝗿𝗶𝗰𝗵 𝗮𝗻𝗱 𝗱𝗿𝗮𝗳𝘁 𝗼𝘂𝘁𝗿𝗲𝗮𝗰𝗵
 
top-scoring candidates get deeper enrichment through leadmagic. the system drafts personalized linkedin DMs based on why that specific person fits. not "i saw your profile" messages. actual context about their career and how it maps to the role.
 
took an hour to build. these people already know you. a warm DM from a real connection converts at a completely different rate than a cold InMail from a recruiter. 
 
the system tells me "Maya is a 47/50 match for Senior AI Engineer because she built RAG pipelines at Notion and has 7 years in ML." i review the context and hit send.

If you're hooked up to your apollo API key you could then use the peoplefinder endpoint to expand on this process if you're having luck with it
 
any seller with 5K+ connections and a $20/month claude subscription is sitting on $2-6K commissions per placement in warm leads they already have.

P.S. screenshot is fake for educational purposes :)

𝗛𝗼𝘄 𝘁𝗼 𝗕𝗹𝗮𝗰𝗸-𝗣𝗶𝗹𝗹 𝗬𝗼𝘂𝗿 𝗦𝗮𝗹𝗲𝘀 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 𝗔𝗯𝗼𝘂𝘁 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲
 
An SDR I shared some tips with messaged me after starting a new role and said they've been totally blackpilled about the status quo after implementing Claude Code and Cursor workflows for the GTM team at their previous company. 

They can't unsee the efficiency gains, and they can't unsee the insanity of all the manual processes around them.

They'd asked their new manager if they could hook up the Apollo API to Cursor to automate some of their longer-form workflows, specifically around lead list building. They were told no without much explanation.
 
I get why. If somebody with six months of sales experience says "let me hook up the most sensitive part of the GTM stack to an AI tool with a dubious level of security," "Fuck No" is a reasonable first reaction. There are real security concerns. But you're shooting yourself in the foot by hand-waving about security when the mitigations are really quite simple. Fix it, move on, and start utilizing the efficiency gains.
 
If you're relating to this, that frustration is a signal. You're early. And there's still time to save yourself from the impending white collar job collapse. 
 
They went on to ask how to socialize this stuff within their new team. Here's what I told them:
 
The play - treat institutional change like a sales cycle.
 
Don't walk into your manager's office and pitch a revolution. That's how you get a polite "no" and a reputation as the weird one. I learned this the hard way when a past CEO told me, "Ben, you have good ideas, but you don't know how to leverage political capital." He was right.
 
Instead, multithread. Sell bottoms-up. Drop an article in the team Slack. Share something in a meeting. Get two or three peers curious. Let them start asking their own questions.
 
If you do this, your manager starts getting the same questions from multiple people. It's no longer one person asking about weird shit, it's a pattern. It makes its way to the director meeting, and now the conversation is happening at a level where things actually change.
 
If you zoom out, the cost of building software is going to zero. Distribution, security, compliance, customer service, all the enterprise readiness stuff, that's what's becoming the real challenge. The playing field is being leveled. 

A lot of people are being lulled into a false sense of security while their competition gets leaner. Smaller teams are producing the sales output of much larger ones across pipeline management, outbound activity, and post-sales support. They're building a compounding velocity advantage and they are going to use it to destroy you.
 
If you're a sales director, a RevOps leader, and you haven't used Claude Code or Cursor, you need to go familiarize yourself. Google it. It's not hard to find.
 
I write about this stuff regularly. If you need talking points to socialize these ideas, just send them one of my posts :)

Florin Tatulea

Sales Leader | LinkedIn Top Voice 2023 | GTM Advisor | Focusing on Seed → Series B

I'm a passionate leader that lives and breathes all things sales.

I was lucky enough to be the first sales hire at Loopio and have had the opportunity to be a part of and contribute to the exponential growth that had led us to a sales team of ~50 strong. In my 6.5 years at Loopio we grew revenue by 65x. 

I am now doing it all over again at Common Room

Whether it's been as an SDR, AE, Manager or Director, I'm constantly looking for ways to reinvent myself and my team.

I'm a people-first leader that understands that leading a team is not about me. It's about lifting others up and seeing them succeed. My success is simply a bi-product of my team's success. 

As a sales leader, I'm curious about scaling sales teams, generating pipeline, increasing win rates and lowering ramp times in a remote world.

As an individual, I'm passionate about copywriting, sequence/cadence building, leveraging social selling and the future of sales technology.

Director of Sales

Last month, after 20 months of building at Common Room, I took some time away from being a full time operator. 

It’s been an absolutely EPIC journey. 

In a relatively short timeframe that I’ve been there: 

-We 4x’d ARR 
-4x’d the size of the SDR team
-Sourced 7-Figures in outbound revenue
-20x’d monthly outbound pipeline $ and built the outbound engine from scratch
-Re-architected our internal Common Room instance. This involved “GTM Engineering” the brain behind our outbound program using our AI agents
-Recruited and worked with the best operators I’ve ever had the chance to work with in my career. 
-Opened career paths and had our first rounds of SDR to AE promotions (this is a really important one for me)

The program is now in fantastic hands with Sara Hanegby . 
 
There aren’t enough words to say how grateful I am for everybody on this journey. You know who you are!! 

On the side, I’ve also been running my own 6-figure media company. 

I’ve given my career my all over the last decade and needed to slow down to focus on some other aspects of my life. 

It’s why I’ve been quiet on here the last month as I've stepped away from the tech echo chamber.

But… I am baaaack!!! 

I have some really exciting projects in the works and I’m looking forward to doing some advisory work and helping the start-up ecosystem over the next few months. 

If you are a company < $20M ARR and are thinking about scaling your outbound program I’ve figured out quite a few things over the last 12 years in B2B SaaS: 

1. I've built outbound from scratch at 4 companies and 3 have already been acquired.

2. I’ve designed and scaled sales programs, selling into SMB to large enterprise (Fortune 100 companies). 

3. I’ve cracked the code selling into Sales, Marketing, Rev Ops, Engineering & HR Leadership and have built systems that work across industries.

Im also excited to work with orgs on the content and thought leadership side. If you are selling to GTM leadership, I’ve built a curated audience of ~90,000 across LinkedIn, Substack & X. 

I’m only a DM away. 

It’s the most exciting time EVER to be building. 

LETS GOO!

GTM Leader | LinkedIn Top Voice | Advisor

I just took a look at the new Nooks launch.

Users of Outreach and Salesloft are going to want to take a look after what I saw with the their new AI Sequencer.

I believe they are going to seriously shake up the legacy sequencing space. 

Not a lot of people know this, but I was one of the first 10 customers of Nooks when the company was still just Dan, Rohan & Nikhil and a virtual sales floor.

As a multi-time customer, not even I could have predicted the level of execution that their team was going to put forth.

Apart from building a quality product FAST, Nooks did something (intentional or not) that is going to give them a massive competitive advantage over the next couple of years.

They owned the action/execution layer FIRST, and have now built the Data Foundation layer (Account Research, Signals, etc.) around it.

Most GTM tech orgs in the market today are doing the exact opposite.

They built the data foundations and are now trying to build an execution layer.

Why is this important?

Because the action layer is where the rep lives. If you own the action layer and do it well, it’s VERY sticky.

Reps will kick and scream if you take it away from them. Re-training tens or hundreds of reps on a new system of action is a nightmare for enablement.

Trust me, I’ve lived through the kicking and screaming.

Selling GTM tech, everybody was constantly asking us… “Can you integrate with Nooks? That’s where our reps live.”

Right now there is a full-blown race to see who will own the full “Sales OS”.

Today, Nooks made this race a lot more interesting by launching their new Agent Workspace for Intelligent Outbound.

They just added:

1. Signals (Combining live web intent with your CRM and past calls)
2. Autonomous Account Research Agents (Running in the background 24/7)
3. List Building Capabilities
4. An Omnichannel Sequencer (Executing across Email, Phone, SMS, and Social)

Imagine autonomous agents that monitor web intent in the background, cross-reference it with your CRM, draft hyper-personalized emails, and then drop the warmest leads into a power hour calling block.  Because it's actually an action layer, the feedback loop makes it smarter with each engagement. 

You can argue that they have a real chance at being the MAJOR player in the consolidation of the GTM tech stack.

They also have a massive moat of call data (50% of our own outbound meetings came from cold calls)... which a lot of other data platforms simply do not have.

​​GTM Leaders: what are your thoughts on this space? Let's debate below

(PS - go check out the massive Nooks launch ). 

#NooksPartner

SDR teams are toast. 

In fact...

SDR teams are so screwed that OpenAI and Anthropic are hiring SDR teams aggressively. 

The thing is, outbound is not a game of AI and automation. 

AI is a tool. 

Outbound is a game of: 

Precision

Timing

Deep industry expertise

Human relationships

It's why orgs like Ramp recently shut off their autonomous outbound program. 

It's why the people that make these LLMs realize that humans are still necessary. 

At least for now :)

If you prospect on LinkedIn, you should watch this. 

This is something I’ve always struggled with that I’ve now found a solution for.

If you use sequencing platforms like Outreach, Salesloft and Gong Engage you’ll know that after you do the manual steps of sending connect requests, LinkedIn activity just gets lost to the void.

There is no easy way to systematically filter for:

1. New LinkedIn connections who are actually in your ICP vs general networking contacts

2. Prospects who have accepted your request but you never actually bothered to send a DM to

This has made systematic outreach that’s coordinated more difficult.

This is no longer a problem as I’ve started to use Kondo: Superhuman for LinkedIn DMs. 

I can now:

→ Filter for connections and bulk tag them as prospects

→ Search for specific personas very easily with a fuzzy search that actually works

→ Open a custom of these personas posts on LinkedIn to build more tailored outreach

SOOO much easier. 

They have a great promo running right now if you sign up by the end of the week (Feb 28):

2 months free with this code:  https://lnkd.in/gFETw84Z

You are welcome :) 

#KondoPartner

2026 is the year to double down on cold calling.

Last year, 50% of all of our qualified opps came from cold calling. 

Keep it simple.

First, get yourself a proper data provider for cold calls so you actually get connects. 

FullEnrich has been an absolute CHEAT code for us with their 20-provider waterfall. 

They now also have amazing search functionality directly in the platform so you can build proper lists. 

Then, I break this down into 3 parts (here's an example):

1️⃣ Permission Based Opener

Hey this is {NAME}, I was actually just on the customer tab on your website at
{ACCOUNT}, and had a question. Do you have a sec?

2️⃣ Menu of Pain (most important part)

Noticed you are selling to accounts like {ACCOUNT}. Typically when I talk to SDR leaders at commercial open source companies, they’re focused on one of these three things:

1. Your SDRs see tons of developer engagement but struggle to identify which users are actually ready for a sales conversation.

2. Your team relies on community signals, but it’s hard to surface and action on real buying intent.

3. SDRs waste time digging through GitHub, Slack, forums, and LinkedIn instead of working on the right leads.

3️⃣ Open Ended Question

How are you making sure your SDRs are focusing on in-market leads?

-----

I like the menu of pain, because if done correctly and the messaging is tight, at least one of the 3 challenges is something they are likely thinking about.

This then opens the conversation.

3 days left this week. Let's get it 🫡

#FullEnrichPartner

How do you feel about this take GTM leaders? 

To me it comes across as a take from somebody who doesn’t fully understand GTM. 

Sure, there are a lot of incredible things AI can do to automate TAM building, lead scoring, account research, funnel optimization etc. 

But GTM is also still one of the professions that is still deeply human. 

I doubt this person has spent a lot of time making cold calls, on demos, meeting clients in person etc. 

If you believe this, you essentially believe that robots will be selling to each other only in the near future. 

No offense to you Jay Sahnan. I respect the opinion and it’s a good discussion 🙏🏻

graphical user interface, text, application

We talk about “GTM Engineering” and “Revenue Orchestration” but how does it apply to outbound? 

Here’s how you tactically execute a strategy at scale using signal data. 

Now we have the ability to capture 100+ signals at a time, transform the data and tell us which leads are the lowest hanging fruit.

That’s a HUGE amount of context for sales reps to have in one place and it means that we can now get HYPER-specific with our messaging and sequences.

Each signal that is important to your organization should have its own purpose, messaging, and sequence built out.

Step 1: Write down all the signals that you currently have access to at your organization. 

There are standard signals everybody can use (I.e. web visits) but also very specific signals to your org (I.e. software outages for an outage tracking product) 

Step 2a: Map out where each signal implies a lead is in the buyer journey

Look at the image below. You can see that a signal and therefore message has to adapt to where somebody is in the BUYER JOURNEY.

Step 2b: Create a lead-scoring system that takes into account which signals (or combination of signals) tend to imply that an individual and account is ready to buy or at least talk to sales. 

This usually happens when they are in the “Solution Aware” and “Product Aware” stage.

Step 2c: Cross reference these leads with your account level- ICP criteria. 

Not all leads that exhibit buying behavior work at accounts that are good fits for your business. (THIS IS CRUCIAL). 

Step 3: Create messaging (i.e. email campaigns, outbound sequences etc.) for each signal.

You can get even more complex here and create messaging or sequences for combinations of signals.

Step 4: Set up alerts and workflows so that if a lead provides a certain signal or hits a certain threshold they get put into the respective “campaign”.

There are many platforms to do this in… Common Room, Clay etc. 

THREE OTHER THINGS TO CONSIDER:

1. Top of funnel leads that aren’t ready to talk to sales go in automated sequences that are more focused on education (this can either be done by marketing or SDRs)

2. Mid-to-Bottom of funnel leads are sent to the sales team and are put into the appropriate sequences (emails + call scripts + LinkedIn message templates are already built out by the team). It is up to the SDRs/AEs here to do additional research and tie your product's value to your prospect’s strategic priorities.

3. Consider the size of the account and the number of owners on the buying committee. Start multithreading into the various decision makers/economic buyers who will influence your deal so you establish momentum early.

(h/t FletchPMM  for the great visual)

#sales #outbound

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Obtained a GPA above 3.5 for the entire academic year 2011-2012

Dean`s List

E3 Business Case Competition

Top Ranked Junior Tennis Player - Canada  

Talk Master Certification 

Competed against 20 business schools across the U.S. including Wharton, Stern, Berkeley and Sloan. 
This competition asked students to choose a stock to either long or short, with the only requirement of it having a 30 day SMA of over $200m in market cap. Our team, being the only international presence in the competition,  chose to pitch Iridium (IRDM), a satellite communications company, and have received a final judgement score of 24/30 based on Stock Selection, Presentation, and Q&A. 

Georgetown Stock Pitch Competition

Cold Email Conversion Machine by Florin Tatulea

Prospecting from the Trenches | Florin Tatulea | Substack

Working with Local Food Plus, a not-for-profit aiming to drive a sustainable food model to the benefit of local farmers and retailers in Ontario

There is a very simple but important question that most sales reps miss when they are selling to GTM leaders . 

And I say this from experience as somebody that buys software. 

Put simply: 

“Is your team hitting their number…What % of attainment is your team at?” 

The harsh reality is that unless you are a SVP/EVP/C-Level exec with long term incentives, the average GTM leader doesn’t really care to change much if things are working well. It’s a massive uphill battle to sell to a leader that is crushing. 

Even most VP, Sales are just trying to survive next quarter. 

It’s very difficult to sell somebody the “future” if they are at 110% of quota as a team and in accelerators. 

Saves you a lot of time as a rep. 

Just what I’ve seen over the last decade. 

Thoughts?

taplio

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