Tech Sales Mentor & Educator | 2 x Top 1% Tech Seller & Cisco #1 Virtual Seller '23 | LinkedIn Top Tech Sales & Account Management Voice

I'm a multi-dimensional human: conscious technologist, emerging health technologies executive, comedian, musician, & mentor teaching tech sales to non-technical sellers.

During the day I'm transforming the future of Australian healthcare as the National Solutions Executive for Signs of Life - Australia's first remote contactless vital sign monitoring solution for remote healthcare & aged care.

Signs of Life aims to positively impact Australians by enabling remote & scalable clinical care using cutting-edge radar technology, allowing providers to immediately respond to acute health events in aged care, corrections and healthcare-in-the-home.

If you're interested in learning more please feel free to send me a message!

At night I coach & mentor emerging tech sales talent through my business Tech Sales Academy - transforming non-technical sellers into trusted technology advisors.

With over 10 years of unbeaten B2C and B2B Tech Sales & Account Management experience, I have been recognised by some of the world's leading tech companies including: 

 → Microsoft
 → Cisco
 → AWS
 → Nutanix 
 → Telstra Enterprise

Some of my Tech Sales career highlights include: 

 → Cisco's #1 Mid-Market AE Worldwide in 2023
 → Club Cisco 2023 - Top 1% Seller Globally out of 20,000
 → Top 1% in Sales & Leadership at Telstra Enterprise in 2020
 → Never missing quota in 10 years of sales, average quota achieved 152%
 → Coaching 50+ Tech AEs & BDMs
 → Featured in Business Insider, Daily Mail UK, Channel 7 Australia, New Zealand Herald and more

But what's more important is where I came from:

 → NO IT background
 → NO B2B Experience
 → NO Account Management Experience

I give you authentic and unfiltered insights into how to master the game of sales consciously, sell millions with integrity and build your abundant future.

Here's how I can help you (links in Featured section):

1️⃣ Get my free Vibe Selling - Emotional Intelligence in Sales Masterclass. A free 7-day email course that teaches you the fundamentals of EQ and how it applies to every step of a B2B sales process.
2️⃣ Check out my fun Cisco's President's Club Vlog, showing you all the perks of being a Top 1% tech seller!

Jameel Rehman

I Help Corporate Professionals Gain Career Clarity & Fulfillment | Founder @Amplify Your Home | Global AI Tax Copilot Strategist @EY

Don't be fooled by my appearance. Quiet, Asian, tiny girl.

In the last decade, I've...

Successfully navigated the corporate giants: Goldman Sachs, PwC, Deloitte and EY.

Built communities, tax and financial models, and automations. (Excel wizard here)

Empowered employees to own their damn careers,

Challenge their norms to do something special.

That's when Problems become Opportunities,

Strategies into Actions.

You are not Alone.

Ready to redefine your career? Let's make it happen.

Mary Fung

For years, power favored the loudest voice in the room.
The extroverts, the natural sellers, the people who could command attention.

AI flips that.

It gives leverage to the quiet operators -
the ones who think deeply, build patiently, and let their work speak louder than they do.

In the age of AI, introverts don’t need to pull the cart anymore.
They build the engine.

Own Your Damn Career | Founder @Amplify Your Home | Head of Synthetic Data & Simulations @EY

Everyone’s trying to sell “cutting-edge AI.”
But that’s not what enterprise buyers want.

MIT asked 153 execs with enormous AI budgets what they actually look for in a partner.

Not a new model.
Not a revolutionary platform.

They just want someone who:
• Understands their actual workflows
• Minimizes disruption
• Builds trust
• Evolves with them over time

The irony?

Most AI vendors want to transform the enterprise...
but the ones who’ll win are the ones humble enough to fit into it first.

Accenture and Snowflake just formed a joint business group. 5,000+ certified consultants dedicated to AI and data transformation.

That's not a partnership announcement. That's a statement about where enterprise AI is heading.

Reading between the lines:

- The big consultancies are betting hard on data infrastructure as the AI bottleneck
- 'AI transformation' is becoming 'data transformation with AI capabilities'
- If you don't have your data house in order, no amount of AI magic will save you

What this means for enterprise buyers:

The consulting giants are building massive practices around making AI actually work. They're not selling AI hype anymore - they're selling the boring stuff. Data quality. Governance. Integration. Infrastructure.

They learned something from the last 2 years: Executives buy AI demos. But they pay for data cleanup.

If Accenture is deploying 5,000 people to this, ask yourself: Is your organization investing anywhere close to proportionally?

Boomerang hiring is getting popular because companies are realizing something embarrassing:

They fired the wrong people.
And underpaid the right ones.

Now they want the “safe hire” back - proven, fast ramp, no surprises.

But you don’t get boomerangs if you treat exits like betrayal and loyalty like a discount.

If someone is worth rehiring later,
they were worth keeping (or paying) earlier.

10 AI Predictions for 2026:

1. Gemini will quietly become the default AI model — not because it's best, but because it's baked into Google Workspace and enterprises buy whatever comes with the contract.

2. AI agents will be the buzzword of 2026, but 90% of enterprise "agents" will just be fancy if-then workflows with a chatbot wrapper.

3. Middle management will shrink faster than anyone expected. If your job is routing information between people, start upskilling now.

4. LinkedIn will be flooded with AI slop, which will make authentic human writing easier to spot and more valuable.

5. The companies that win with AI won't have the best models — they'll have the cleanest data and fastest approval pathways.

6. Most "AI transformations" announced in 2025 will be quietly walked back, rebranded, or buried in footnotes.

7. Copilot will be on every enterprise desktop, but 80% of employees will use it the same way they use Excel — poorly and rarely.

8. The Chief AI Officer title will peak and then quietly disappear because nobody figured out what it was supposed to do.

9. Prompt engineering will stop being a job title and become a baseline skill, like knowing how to Google.

10. The people who actually ship AI in 2026 will be the same ones who shipped software in 2016 — builders who know that technology is 20% of the problem.

Everyone keeps saying, “AI needs better foundations.”

That’s true.
But it’s not the part people think.

KPMG isn’t warning about missing tech.
They’re warning about missing discipline.

Most enterprises want AI to move fast
on top of systems that were never designed to be trusted.

Bad data.
Unclear ownership.
Processes built for humans to patch gaps with judgment.

So when AI breaks, leaders don’t ask:
“Why was this workflow fragile to begin with?”

They say:
“AI isn’t ready.”

AI doesn’t fail in enterprises because it’s too powerful.
It fails because it refuses to hide the mess underneath.

Foundations aren’t glamorous.
They don’t demo well.
They don’t win internal applause.

But without them, AI just scales dysfunction faster.

The companies that actually win with AI won’t be the loudest adopters.
They’ll be the ones willing to do the unsexy work first:
clarify ownership, clean data, redesign workflows, define accountability.

Everyone else will keep running pilots —
and blaming the tech when reality shows up.

Enterprises keep saying “AI upskilling.”

Then they quietly change the pyramid.

AI is now cited in layoff plans
as a literal reason code.

Not “restructuring.” Not “macro.”
AI.

Meanwhile, the firms selling AI work
are bragging about bookings, not jobs.

That’s the tell.

The bottom of the org chart
is where the inefficiency lived.

Junior analysts doing prep work
that never should’ve taken 40 hours.

Tax, audit, close, controls testing.
All the work that exists
because nobody wanted to delete data
or kill a template.

Now AI compresses the doing.

So leadership does what leadership does.
Protect the narrative.
Shrink the leverage.

The doers feel it first.
The deciders call it modernization.

Most companies don’t hire talent.
They hire job descriptions.

And then they’re shocked when they end up with average people doing average work.

Cursor does the opposite.
They don’t ask “What role do we need?”
They ask “Is this person undeniable?”

If the answer is yes, they bend the org around them.
They don’t wait for headcount approvals.
They don’t debate leveling.
They don’t hide behind process.

They move.

Because:
> Elite talent is rarer than clean org charts.
> Process is cheap. People aren’t.

Most companies optimize for order.
The best ones tolerate chaos to secure leverage.

If you hire roles first, you get replaceable people.
If you hire people first, they create roles you didn’t know you needed.

That’s how you build an org of superstars.
Not by perfect hiring processes but by having the courage to recognize greatness
and act before it’s gone.

Goldman’s CEO said AI can now do 95% of an S-1 in minutes.

Everyone keeps asking what happens to the jobs.

That’s the wrong question.

The real question is:
What is the 5% that still matters?

It’s not formatting.
It’s not drafting.
It’s not models, footnotes, or precedent decks.

The 5% is:
• deciding what risk actually matters
• knowing what to leave out
• framing the story regulators and investors will believe
• understanding where this deal breaks under pressure
• making judgment calls no template can defend

The 95% was always execution theater.
The 5% was always the job - it was just hidden behind process and headcount.

AI didn’t remove human value.
It stripped it down to the part you can’t fake.

If your role was built on producing the 95%,
you weren’t senior...you were insulated.

Now the insulation is gone.

What’s left is judgment, taste, and accountability.
And that’s the part most people were never trained for.

That’s the real disruption.

Will large enterprises ever lose their ego?

Most still design products in isolation
and assume the market will adapt.

They don’t co-build.
They don’t listen deeply.
They ship… then push.

That’s not innovation.
That’s arrogance with a roadmap.

The next generation of winners won’t “educate the market.”
They’ll build with it.

Talk to users.
Co-create.
Stop assuming demand exists just because you funded a solution.

Product-market fit isn’t something you force.
It’s something you earn by letting go of ego first.

5 Things I Learned Implementing AI at Enterprise Scale:

1. Your data problem is bigger than you think. Every executive says 'our data is pretty clean.' It never is. Plan for 60% of your timeline to be data work.

2. The pilot trap is real. Successful POCs die in production because nobody planned for security reviews, compliance checks, and the 47 stakeholders who need to approve everything.

3. Change management eats AI for breakfast. The technology works. The humans resist. Budget 3x more time for training, communication, and handling the 'but we've always done it this way' crowd.

4. Start with the boring use cases. Everyone wants the sexy AI chatbot. The real ROI is in automating the mind-numbing document processing that costs you 200 hours/week.

5. Your AI strategy needs an AI exit strategy. Models change. Vendors pivot. Build for portability or you'll be rewriting everything in 18 months.

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