Employer branding · Technology
Every company says AI now, so the word tells a candidate nothing at all.
Every business claims to do artificial intelligence, so employer branding for an AI, machine learning or analytics company mostly means proving otherwise: what your models do, on what data, and whether any of it runs in production. GullySales writes that from your own engineers and what they have shipped.
In one paragraph
Every business claims to do artificial intelligence, so employer branding for an AI, machine learning or analytics company mostly means proving otherwise: what your models do, on what data, and whether any of it runs in production. GullySales writes that from your own engineers and what they have shipped.
Also written for
AI companies, ML companies, Data analytics companies.
Where this sits
For AI, ML and data analytics companies
Where it usually goes wrong, and what we would do.
“The word AI has stopped carrying information”
A dashboard company, a data labelling operation and a team training models all use it. Anybody with real modelling experience has learned to discount the word and hunt for something concrete.
“Whether a model ever shipped is the question”
Research that never left a notebook is a familiar story and candidates have heard it twice. What went into production, what it decides, and what happens when it gets something wrong.
“The post asks for a doctorate and offers reporting work”
Plenty of good analytics jobs exist. Advertised as research, they attract people who resign in six months, while the people who would have been happy in them never applied.
“Data access and compute go unmentioned”
An engineer wants to know whose data they get to touch, how dirty it is, and who signs off a GPU bill. Silence suggests the answer is a shared laptop and a pending approval.
What we do
What we deliver for AI, ML and data analytics companies.
Every deliverable, what it covers for you, and the result it is there to produce. Nothing here is an extra.
A careers page about the models, not the category
What your systems predict or generate, what data sits behind them, where they run and who uses the output. Drawn from an hour with the team that built them.
Result: Engineers can judge the work instead of guessing at it.
Honest splits between research, engineering and data work
Separate posts for modelling, for the platform around it, and for annotation and pipeline work, each saying how much of the job is cleaning data.
Result: Nobody joins expecting papers and inherits a spreadsheet.
Publication and open-source policy
Whether people can publish, speak at a meetup or release code, who approves it and what your customer contracts allow. Confirmed with whoever handles those agreements.
Result: Researchers know what they can put their name to before they sign.
The take-home, described before it is sent
Whether there is one, how long it should take, who reviews it and whether you pay for the time. Agreed with your hiring managers so every candidate gets the same version.
Result: Fewer strong people disappearing between the second and third round.
Engineer accounts of a model that failed
One short piece on something that did not work and what you changed afterwards, reviewed by the engineer who lived through it.
Result: Credibility with the exact people who can tell a real team from a slide.
How the result is measured
- Applications received per open role
- Careers page engagement and time on page
- Candidate drop-off during the interview process
- Referral hires as a share of total hires
Recorded as a baseline before work starts, then reported every month against it.
How it works
From your first message to the first monthly report.
No open-ended retainer. Each step has a point in time and something you receive.
01 · Day 1
Free audit call
45 minutes with whoever handles your enquiries: how they arrive, how fast they are answered, where they are lost.
02 · Within a few working days
Written, scored report
Six areas scored, fixes ranked by return and cost. If you want our help, the scope and fee come with it, in writing.
03 · Before work starts
Baseline recorded
Enquiries by source, reply time, conversion and cost per order, written down so every later month has an honest comparison.
04 · Month 1
The first fix goes live
Usually the cheapest one on the report: reply time, a follow-up sequence or the marketing-to-sales handover.
05 · Every month
Report against the baseline
What moved, what did not, and what changes next, in plain words.
06 · Month 3 to 6
Renew on the numbers
The term ends and you decide whether to continue from the results. No twelve-month lock.
How the work runs for AI, ML and data analytics companies
- 1
Talk to current employees
We interview a cross-section of staff honestly, including some who might raise uncomfortable points.
- 2
Find the genuine reasons to join
We identify what is actually true and attractive about working there, rather than generic claims that could apply anywhere.
- 3
Build the careers content
The careers page, job post templates and employee stories are written from what staff actually said.
- 4
Review the candidate experience
We check what happens between application and offer, since branding cannot fix a process that loses candidates through delay.
- 5
Hand over and refresh periodically
Content is handed over for ongoing use and revisited periodically as the team and roles change.
Why us
Why owners pick GullySales over an agency.
Marketing and sales, as one job
Most agencies stop at the enquiry. We also fix what happens after it: the reply, the follow-up, the quote and the CRM.
The person on the first call does the work
No account managers in between. You are never handed to someone you have not met.
A baseline before anything starts
Your numbers are written down on day one, so every monthly report compares against something honest.
The fee in writing, split three ways
Our time, your media spend and production on separate lines. You always see what goes to us.
No lock-in, no guarantees we cannot keep
Three to six months at a time. We never promise a ranking or a lead count, because nobody controls those.
One office, and we say so
Nagarbhavi, Bengaluru. We work across India by call and WhatsApp and travel when a session needs to be in person.
#257, 3rd floor, Sri Nanjundeshwara Complex, Nagarbhavi 8th Block, Outer Ring Road. How we work.
The offer
Start with a free audit of how you sell.
It is useful on its own, whether or not you hire us.
What you receive
- A 45-minute call with the person who will do the work
- A written, scored report on the six places orders leak, within a few working days
- Every fix ranked by what it returns and what it costs
- The one thing to do first, and why
- An honest line on whether you need outside help at all
- If you do, the scope and the fee in writing
No invoice. No obligation. No sales script.
FAQ
Questions owners ask before they call.
Not here? More answers, or ask on WhatsApp.