20
Talent Advisor · AI Founders · US–India

The first 20 hires
decide everything. I help founders get them right.

Most founders make the first 20 hires reactively – filling roles as pressure builds, not as strategy demands. The gap between companies that get this right and those that don’t is rarely talent. It’s almost always process, timing, and the willingness to be deliberate when everything is moving fast.

The Proprietary Framework
The
Density
Stack.
Five layers. One outcome.

The first 20 hires matter more than most founders expect – not because of any one decision, but because they establish a pattern that compounds. Who you hire early shapes who wants to join next, what the culture actually is, and how fast you can move.

Five layers that compound when right – and create drag when even one is misaligned. Every hiring decision, compensation structure, and culture choice has a position in the stack.

The goal is not to hire fast. It’s to hire so well that you never have to re-hire.

Layer 01
Founder Alignment
Do the first hires actually believe in what you’re building – or are they just between jobs? Hard to tell in an interview. Usually shows up six months later when priorities diverge.
Conviction density
Layer 02
Technical Hiring
AI-native hiring – engineers, researchers, and applied scientists who build, not just talk. For US–India teams where the pool is deep but the signal is noisy. I’ve been assessing this category since before most companies were hiring for it.
Technical density
Layer 03
GTM & Revenue
Revenue and GTM people who can sell something buyers are still learning to understand. The wrong sales hire doesn’t just miss quota – it sets back the entire go-to-market motion by a year.
Revenue density
Layer 04
Early Leadership
First VP of Sales. First Head of Product. First country lead. These take longer to assess, longer to close, and longer to recover from if they don’t work out. Most founders do this once before they get good at it.
Leadership density
Layer 05
Cultural Infrastructure
What keeps a team coherent across India, US, and beyond. Not perks. The systems, rituals, and norms that make distributed people feel like they belong to something real – and stay long enough to compound.
Cultural density
What I Do

Four ways I work
with founders.

Four engagements. One owner — me.
01
Talent Architecture
Mapping the first 20 roles against the company’s actual trajectory – not just what you need today, but the org you’re building in 18 months. Most founders hire for the problem in front of them. I help you hire for the company you’re trying to become. Role sequencing, hire-or-promote decisions, comp structures that hold at scale.
Org designRole sequencingComp architecture
02
Technical & AI Hiring
End-to-end search for AI engineers, ML researchers, applied scientists, and AI GTM specialists – without agencies. I’ve been hiring in this category since 2018, before most companies knew they needed to. I can have real technical conversations that generic recruiters can’t.
AI engineersML researchersAI GTMNo agencies
03
People Operations
The infrastructure that lets a team of 20 feel like one. Onboarding, performance systems, variable pay tied to business outcomes, cross-border compliance, employer brand. Built lean, using AI automation where it actually makes sense.
US complianceVariable payOnboardingAI automation
04
Founder Advisory
A thought partner for the people decisions that don’t fit a framework – the hire that needs to go, the comp negotiation going sideways, the culture problem nobody’s naming. I’ve been through the founder’s grind myself. I know what these moments actually feel like.
Difficult decisionsCulture designFounder coaching
Who This Is For

Three types of founders
I work with.

Three profiles. One gap.
US–India Founders
Expanding into the US for the first time
You have product-market fit at home. Now you’re hiring in the US – different comp expectations, employment law, equity norms, candidate behaviour. Most founders find out what they don’t know only after a bad hire or a declined offer.
AI-Native Companies
Building technical products that need technical people
ML engineers, applied scientists, AI GTM specialists – roles where most recruiters can’t assess quality. I’ve been hiring in this category since 2018. India has some of the deepest AI and engineering talent in the world right now. US founders who build their own dedicated technical team there – not outsourced, but genuinely theirs – get a structural advantage most competitors don’t have.
Early-Stage Teams
5 to 50 people – where foundations get set
Your first people person doesn’t need to be a full-time one. But you need someone who has done this before. The decisions you make between 5 and 50 people are hard to undo. Getting them right early is much cheaper than fixing them later.
The Record

Numbers that come
from doing the work.

Built in, not bolted on.
0
People hired across 6 countries over several years of building and consulting. All in-house. Always lean.
0
External agencies used. Ever. Across six years and six countries at a Sequoia-backed AI company.
0
Offer acceptance rate across all markets – including during COVID-era hiring when everyone else was losing candidates.
0
eNPS at Wobot AI. Glassdoor 4.4. Great Place to Work certified. Fully remote, six-country team.
“The first 20 hires are a bet on your company’s entire future. Most founders don’t get to make that bet twice. Everything after – culture, execution velocity, who wants to join you next – compounds from those early decisions.”
How It Works

Simple pricing.
No surprises.

Two packages. No agency math.
Fractional CPO · Monthly
People Leadership + Hiring
$5,000
per month · cancel anytime after 3 months
Full fractional CPO coverage – strategy, operations, compliance, culture – plus active recruiting for up to 2 openings a month.
  • Talent architecture and org design for your first 20
  • US employment law, compliance, cross-border ops
  • Compensation design, benchmarking, equity structures
  • Offer strategy, structuring and negotiation
  • Remote team culture, onboarding, performance systems
  • AI-powered HR automation – set up once, runs itself
  • Up to 2 active hiring openings per month included
+ 5% flat on annual CTC per successful hire
Start the Conversation
Hiring Only · Monthly
Hands-On Hiring
$2,000
per month · up to 2 active openings
Sourcing, screening, and closing for up to 2 roles. No people leadership overhead – just the hiring, done well.
  • Up to 2 active openings worked simultaneously
  • Sourcing, outreach and pipeline management
  • Structured interview design and screening
  • Offer strategy, closing and onboarding handoff
+ 5% flat on annual CTC per successful hire
Start Hiring
Why this pricing exists
Shared risk.
Smaller reward.

Agencies have historically charged 8.33% to 25% of annual salary – and the logic made sense. They carried all the risk: working a position with no guarantee of a hire, competing with inbound pipelines and internal teams.

That model also left everyone a little unhappy. Conditions. Caveats. I spent six years inside a company that never used an agency once – because the math never felt right.

The world has shifted. Finding candidates is no longer the hard part. The hard part is filtration – because everyone now has a polished profile, shaped by an LLM. The first interview has become the most important moment.

The fixed monthly fee means you share the risk with me. In return, the reward is smaller – 5% instead of 15–25%. You know the cost upfront. No surprises when the hire lands.

Traditional agency
8–25% of CTC
This model
Fixed + 5%
About
Barkha Sharma
Outside of work

At home, my dinner table is often claimed by the future. My husband is a serial entrepreneur who started his first company at nineteen – a product visionary who lives and breathes tech. Our conversations spiral: What will the world look like for our sons? Will AI leave them any career options at all?

We have two sons. The elder has already sorted his career: soccer player or construction worker – two fields where AGI won’t be taking over anytime soon. The younger one’s primary occupation is running around his brother. Career undecided.

I love reading. Organisational psychology is the subject I keep coming back to. I want to do a PhD in it someday.

I grew up in India and live in Dublin, California. Both matter to how I see things.

Who I
Am.

I’m a talent advisor for early-stage, VC-backed AI companies – mostly in the US–India corridor – who need to get the first 20 hires right. I combine the perspective of someone who has built from inside a fast-scaling AI company with the lens of someone who has gone through the founder’s grind herself.

I spent the first six to seven years of my career across startups and corporates – building talent pipelines across technical and GTM functions, designing hiring processes from scratch, working on workforce strategy. That’s where the conviction formed: how to assess beyond the resume, how to design interviews that actually predict performance, and the belief that would define everything after – people ops isn’t overhead. It’s strategy.

In 2017, I founded BASH AI – an AI-powered HR automation platform. Seed funded. Went through a strategic acquisition. Recognised as a Top 10 Disruptive AI Startup in India. I closed enterprise deals before most buyers had a budget line for the category – every conversation started two steps back, explaining the problem before the product. You learn something doing that: about conviction, and what it costs a founder to bet on something unproven.

Later, I joined Wobot AI – a Sequoia and Titan Capital backed AI startup – as the first person in the people function, and scaled the team to 100+ across six countries – India, US, Brazil, Philippines, Vietnam, Mexico. Always had a lean TA team. Zero external agencies. 98% offer acceptance. Great Place to Work certified. eNPS 97.5.

Today I’m based out of the Bay Area, consulting early-stage, VC-backed startups on people strategy and talent acquisition. I build their core teams and people foundations from the ground up.

The US–India corridor isn’t a geography – it’s a specific operating reality. Two talent markets with different risk appetites, comp expectations, and what “a good offer” even means. Two regulatory environments with very different rules for employment, equity, and exit. Founders who have built in India and are expanding into the US often discover the gap only after their first bad hire or declined offer. I’ve lived and worked inside both – and spent several years building teams across both simultaneously. That’s the vantage point I bring.
Fifteen years · One thread
2011–2017
Talent Search & People Ops
Startups & Corporates
End-to-end hiring across technical and GTM roles. Onboarding, succession planning, first exposure to data-driven people ops at scale.
2017–2019
Founder & CEO
BASH AI
AI-powered HR automation. Seed funded. Strategic acquisition. Top 10 Disruptive AI Startup in India.
2019–2025
Head of Human Capital
Wobot AI · Consulting
Built people function from zero. 5→100+ across 6 countries. Zero agency hires. 98% offer-to-join. Great Place to Work certified.
Wobot AI · Three things worth going deeper on
01
Top-of-Funnel as Long-Term Infrastructure
Built a hiring funnel by bringing on high-potential engineers with Master’s plans from top Universities. Those alumni are now in top-10 computer vision labs globally.
02
Research Partnership That Cut Costs by Two-Thirds
Formal partnership with IIT Bombay’s CV Lab. Separated research from production. Production-ready output at one-third of typical salary cost.
03
Employer Brand Built From Nothing
Launched Woflix – 80+ hours of team-led video content across six countries. Culture made visible and sticky. Directly drove the 97.5 eNPS.
Get in Touch

Tell me where
you are.

Fifteen years. Two sides of the table.

The market you’re
entering.

Team size, what’s on your mind on the people side, where you’re trying to get to. That’s enough to start.

You’ll hear back from me directly.

Based in Dublin, California – Bay Area.
Available for founders across the US and those expanding from India.

No spam. No newsletter. Just a reply from Barkha.

Barkha Sharma
Talent Advisor · US–India · AI Founders