Cosmo Tech | The Decision Twin Platform for Supply Chain, Finance & Asset Leaders at Fortune 500 Scale | Simulate Tomorrow. Decide Today.

I specialize in the messy middle of B2B SaaS scaling—taking companies from erratic growth to a disciplined, high-performance revenue engine.

Most sales teams don’t fail because they lack talent; they fail because of ambiguity.
When forecasts can’t be trusted, pipelines move only through founder heroics, and managers report activity instead of owning outcomes, you don’t need another playbook—you need an operating system.

My operating philosophy: Cadence | Ownership | Process

I install a repeatable flywheel of operational excellence:

Cadence
A rigorous Rhythm of Business—daily, weekly, and monthly operating cadence that surfaces execution risk early, before it becomes a board-level surprise.

Ownership
Managers own outcomes, not just activity. Forecasts are built bottom-up so leadership can commit without caveats.

Process
Qualification and execution are standardized before adding headcount, ensuring hiring is tied to capacity and real revenue impact—not hope.

The proof (Ekahau — SVP, Global Sales, 2019–2024)
	•	Revenue: Scaled $25M → $65M ARR in five years
	•	EBITDA: Increased $7M → $32M (margins ~20% → ~50%)
	•	Team: Built a 130-person global organization while reducing per-employee cost 25%

Selected wins
	•	Healthentic: Doubled ACV ($5M → $10M) and drove 10× pipeline growth through GTM transformation
	•	ControlCase: Delivered 34% YoY growth and 300% expansion revenue growth

Currently

Available for VP of Sales or Fractional GTM leadership with B2B SaaS companies $5M–$30M ARR. I also lead SalesGSS (revenue operating frameworks) and DigitalRegIntel (regulatory intelligence for AI/fintech).

The Senator perspective

Two terms as a Washington State Senator taught me the value of high-stakes negotiation and public accountability. I bring that same discipline to sales: clear ownership and execution when the pressure is real.

“Steve is ‘Instant Offense’ for sales—rare and valuable. World-class at creating strategic, data-driven sales teams.”
— Jeff O’Mara, CEO (Healthentic) / GM (Ekahau)

Steve Litzow

If revenue per employee is flat while headcount rises, you’re not scaling. You’re diluting.

Most $10M–$50M ARR teams are measuring the wrong thing.
They celebrate hiring.

Elite teams watch revenue per employee.

Here’s what 2026 is quietly proving:
Growth doesn’t stall because opportunity disappeared.

It stalls because attention fragmented.
New ICP.
New vertical.
New pricing model.
New feature set.
New partnership.
All rational.
All defensible.

Collectively? Expensive.

Revenue per employee isn’t a finance metric.
It’s a focus metric.

Bootstrapped SaaS companies at $1M–$3M ARR average ~$110K per employee.

Equity-backed peers average ~$94K.

Capital didn’t create the gap.

Discipline did.

Fragmentation increases decision latency.

Decision latency expands Signal-to-Action Time.

And once SAT expands, velocity stops compounding.
You don’t lose because you’re wrong.

You lose because complexity expands faster than discipline.

Pressure test your system:
• If you asked three reps to define your ICP, would they say the same thing?
• Do your top 20 deals look similar — or random?
• Has revenue per employee improved in the last two quarters — or are you hiring into flat output?
• When was the last time you killed an initiative?

Elite teams don’t run more plays.
They run fewer — with intensity.

Focus multiplies revenue per employee.
Complexity multiplies meetings.

Week 7 of the 2026 Operating Series.

Link in comments.

VP of Sales | Scaled $25M → $65M ARR | Operating Discipline for Growth & Scrutiny

FinCEN just made compliance easier.

That’s exactly why your documentation burden increased.

On February 13, FinCEN eliminated beneficial ownership verification at every account opening.

The same day, SEC Chairman Atkins testified that current crypto guidance isn’t “future-proof” without legislation.

That’s not regulatory confusion.

It’s the new supervisory model.

Fewer procedural checkboxes.
Higher expectations for documented judgment.

When regulators give you discretion, they’re not giving you a pass.

They’re giving you a decision to defend.

24–36 months from now, no one will ask:

“Did you follow the rule that no longer exists?”

They’ll ask:

• Why did you reduce controls?
• What risk assessment supported that?
• Who reviewed it?
• Where is the record?

Relief does not eliminate supervisory liability.

It reallocates it.

This week’s DRI Supervisory Brief covers:

→ FinCEN CDD relief and the judgment gap it creates
→ SEC-CFTC coordination that lacks statutory permanence
→ FinCEN’s data-driven enforcement model
→ EU AI Act entering pre-enforcement phase

Link in comments.

No new rule last week.

That’s the risk.

On Feb 13, FinCEN quietly operationalized its whistleblower portal.

Now AML, AI governance, and digital asset supervision gaps can be reported directly to enforcement — before an exam ever starts.

This changes the timeline.

Enforcement is no longer tied to regulatory cycles.

It’s tied to internal observation.

An email.
A Slack message.
A deferred monitoring upgrade.

Those can now become time-stamped federal evidence.

The real shift isn’t rulemaking.

It’s attribution infrastructure.

When regulators look back 24–36 months from now, the question won’t be:

“Did you know the rule?”

It will be:

“Can you prove you supervised in real time?”

Documentation is no longer defensive.

It’s existential.

Full breakdown in this week’s Brief. (Link in comments.)

US enforcement is accelerating through whistleblower infrastructure.

EU regulation is accelerating through statutory documentation and logging requirements.

Different systems.

Same burden.

You must be able to prove:

• What management knew
• When it knew it
• How it assessed applicability
• What action (or deferral) followed

Frameworks don’t fail companies.

Missing chronology does.

Your deal didn’t lose to a competitor.

It died in a conference room.

40–60% of B2B deals end in “no decision.”

Not lost.

Just never aligned.

At $10M–$50M ARR, most teams still sell to a champion.

But the real sale is to the committee.

If a deal is single-threaded beyond day 45, your forecast isn’t aggressive.

It’s structurally optimistic.

This week’s issue breaks down how elite teams prevent ghost pipeline.

Comment PLAYBOOK and I’ll send it.

Ike Singh Kehal

Cofounder Synnc (B2B Creator Marketplace) | Social27 Event Tech | Trusted by Fortune 1000 customers

If you're an AI startup or enterprise brand — I built Synnc for you.

Synnc connects you with LinkedIn's most credible B2B creators: operators, builders, and executives with the audiences your buyers actually trust. 

No influencer fluff. Paid content that converts.

AI companies are spending millions on ads that get ignored. 
The ones winning are showing up in the feeds of decision-makers through voices they already follow. That's what Synnc does.

Customers include: Synthesia, Riverside, Microsoft.

The track record:
→ Co-founder & CEO, Synnc — B2B creator marketing for AI companies and enterprises. 
Powered by HiveGPT AI Agents.

→ Co-founder & CEO, Social27 — $12M ARR. Grew from 2 people to 150+ employees.
 Clients: Microsoft, UN, CapGemini, UW. 

→ Co-founder & CEO, HiveGPT — AI Agents for personalized B2B marketing at scale.
 The engine behind both Synnc and Social27.

→ 7+ years at Microsoft — partner programs, ISV/VAR channels, enterprise GTM.

→ Led a $60M+ acquisition as CEO of Indiabulls Retail.

Want to maximize B2B Distribution? 
Let's talk: hello@synnc.us

CEO, Enterprise AI, EventTech to accelerates sales and build community

Focus on meeting my customers needs for business acceleration with Virtual and Hybrid Events. 
Grow the team and keep them motivated and happy!! More at: http://social27.com

I watched a friend send out 100+ job applications last month.
Not a single callback.

Meanwhile, a Salesforce admin I know posted one breakdown of how she automated a reporting workflow.
Three DMs from hiring managers within 48 hours.

Same job market. 
Completely different approach.

Here's what's wild:
Her "content" was literally just her Tuesday afternoon.
↳ No fancy production
↳ No personal brand strategy 
↳ Just documentation of what she already does

The job market didn't break overnight. 
But the way people get discovered did.

Algorithms delete resumes. 
They amplify expertise.

The professionals I've been watching win right now aren't applying harder.
They're sharing what they already know — and letting opportunities come to them.

↳ Same skills they had before 
↳ Some earning $5-10K/month doing it 
↳ They just made their expertise visible

That shift is exactly why I built Synnc.

Ike Kehal

I've been obsessing over why
some AI startups hit $2B in revenue
while others burn through $450M and disappear.

The pattern? 
It's not the tech.

The failures all share one thing: 
They built first. 
Then hoped distribution would follow.

The graveyard:
Builder.ai: $450M raised. Bankrupt May 2025. 
↳ Claimed $220M revenue. Real number: $55M.
↳ No distribution. Just 700 engineers pretending to be AI.

The winners:

Cursor: $2B ARR. Fastest SaaS ramp in history. 
↳ Built inside the tools developers already used. Zero marketing spend.

Notion: $600M ARR. 50%+ of Fortune 500.
↳ 100M users first. AI features second.

Claude Code: Launched May 2025. $500M run-rate by September. 
↳ Shipped inside ecosystems developers already lived in.

The pattern nobody talks about:
Cursor didn't build a better model. 
↳ They built where developers already lived.

Notion didn't rush AI. 
↳ They captured the audience. Then monetized it.

Claude Code didn't need a go-to-market. 
↳ The users were already there.

Distribution-first means: 
→ Your tech rides existing behavior 
→ Growth comes from ecosystems, not ad spend 
→ Your moat is relationships, not algorithms

This is exactly why we built Synnc. 
Corporate creators already have the audience and the trust. 
Brands just need the connection.

What's your distribution strategy?
(Just building better tech isn't an answer)

I've been staring at this chart for 20 minutes.
Anthropic dropped new labor market research. 

The blue area is what AI can theoretically do across every job category. 
The red area is what's actually being used.

The gap is the story.

Management. Business & finance. 
Legal. Office & admin. 
↳ AI could automate a significant share of the work 
↳ Actual adoption is a fraction of that

This isn't a blue-collar disruption story. 
It's a white-collar one.
And most white-collar professionals haven't felt it yet.

Two ways to read this chart:
↳ If you're a founder, that gap is your market. 
The underpenetrated categories are a roadmap. 

↳ If you're a professional, the question isn't whether AI reaches your role. 
It's whether you're ahead of it when it does.

The professionals who are already sharing how they work, what they know, and how they think?
They're not just ahead of the curve. 
They're building audiences while the gap still exists.

Agree?

I pay my employees to post on LinkedIn.
here's why…

Last year, our mkt team built an employee advocacy program.
Polished graphics. 
Approved messaging. 
A Slack channel begging people to share.

Result:
Out of 40+ employees, three posted.

Those posts? 
Corporate copy-paste from someone doing their manager a favor.

Action:
I stopped asking and started paying.
↳ $300-500 per post 
↳ Their voice, their angle 
↳ No scripts. No "approved messaging."
Result? 4x our brand page performance.

And...
Why stop at your own employees?

↳ That Salesforce admin who knows your buyers' daily pain? 
↳ That Microsoft engineer in the same Slack communities as your prospects?

Not on your payroll. 
More credible than your marketing team. 
90% cheaper than your agency.

This is exactly why we built @Synnc.
Connecting brands with corporate creators 
— professionals with real expertise and real audiences.

Not influencers. 
Not agencies. Practitioners.

PS — LinkedIn killed their own Employee Advocacy tool. 

Agree?

BREAKING: 
I watched Block's stock jump 24% yesterday.

Because they fired half their company.
4,000+ people. Gone.

Jack Dorsey didn't sugarcoat it either:
↳ We're reducing Block from over 10,000 to just under 6,000" 
↳ Smaller, highly talented teams using AI to automate more work
↳ Within the next year, the majority of companies will reach the same conclusion

And Wall Street rewarded it instantly.

Here's what nobody's talking about though:

Those 4,000 people didn't lose their jobs because they were bad at them.
They lost them because the work itself changed.
The companies that survive this aren't just cutting headcount.
They're rethinking what "team" even means.

↳ Fewer full-time roles 
↳ More fractional expertise 
↳ AI handling the repetitive work 
↳ Humans handling the creative, strategic, relationship-driven work

The survivors of 2026 layoffs 
will be the ones who went public with their knowledge
⟶ before the pink slip.

................................
➔ Look into Synnc.us
The first corporate creator network

BREAKING! The best news I read this week, 
isn't about my company.
Anthropic just launched the Claude Marketplace!

Enterprises can now access Harvey, Replit, Snowflake and more directly through Claude, existing spend counting toward it.

Distribution problem: solved?
But here's what most are missing:

Every partner on that list works because of the domain expertise baked in, not the UI.
↳ Harvey works because lawyers trained it 
↳ Rogo works because finance pros shaped it 
↳ Replit works because developers validated it

The AI is the delivery mechanism. 
The professional expertise is the product.
That's the entire corporate creator economy in one launch.

The enterprises winning in 3 years:
Won't be the ones who bought the most AI tools.
But the ones who turned their internal experts into the product.

Agree?

That's why we built Synnc

PS: If you want to master Claude, save these.
(Thanks to Rubén Domínguez Ibar for this list)

▫️ Claude Opus 4.6 Explained → https://lnkd.in/eTmftGgr
▫️ How Serious Builders Co-Work With Claude → https://lnkd.in/ei7n7s32
▫️ The Claude Cowork Setup That Actually Works → https://lnkd.in/d6iF42qq
▫️ 10 Claude Cowork Workflows That Actually Work → https://lnkd.in/dipzF2MP
▫️ Every Way to Make Slides with Claude in 2026 → https://lnkd.in/ekKaqTFP
▫️ Claude in Excel: 30 Prompts to Audit Any Financial Model → https://lnkd.in/eXGBd2Sz
▫️ Claude Cowork: The Tool That Triggered a $285B Software Selloff → https://lnkd.in/dWvrqqCc
▫️ Claude Can Now Do SEO Like a $10K/Month Agency (For Free) → https://lnkd.in/eT3qsxgD
▫️ Sonnet 4.6 Breakdown → https://lnkd.in/ef6hWdRz

I just read Anthropic's guide on building Skills for Claude.
One stat stopped me cold.

Without a skill: 
15 messages. 
3 failed API calls. 
12,000 tokens. 

With a skill: 
automatic execution. 
0 failures. 
6,000 tokens.

Same workflow. Half the cost.

Here's the mental model that clicked:
MCP gives Claude tools. 
Skills teach Claude how to use them.

The setup takes 15 minutes: 
↳ Create a folder 
↳ Add a SKILL.md file
↳ Write your workflow in Markdown 
↳ Claude executes it automatically. Every time.

Two things worth knowing before you start:
↳ Skills are an open standard 
↳ Anthropic built a skill-creator tool that walks you through it step by step

Start with your most repetitive agent workflow. 
The one you keep re-explaining from scratch every session. 
That's your first skill.

What would you automate first?

Claude Skills Guide 

I hired an AI PM last month.
didn't look at her resume once...

Here's what I looked at instead.

Her LinkedIn.

↳ A post on how she cut API costs 70% using token optimization 
↳ A case study on the observability stack she built in production 
↳ A 5-minute Cursor demo that got 80K views

She had 3 competing offers before we even called her.
This is happening everywhere right now.

Recruiters are skipping resumes. 
They're saving LinkedIn posts instead.

The AI PMs getting recruited fastest aren't applying.
They're posting.
↳ Their eval frameworks 
↳ Their debugging workflows 
↳ Their AI-enhanced productivity systems
And companies are paying 40% premiums for them.

The best part?
These same PMs are earning $5-15K/month in consulting from the content they post.

Your next role won't come from an application.
It'll come from the post that proves you can do the job.

This is exactly why we built Synnc
connecting professionals who build in public with brands who need real expertise.

Agree?
Comment / Follow for similar content.

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The Battle

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Ike Singh Kehal

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The Battle

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Ike Singh Kehal

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Steve Litzow's LinkedIn Performance

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