Sales · Chapter 1 of 5
What sales postings actually ask for
2,173 postings. Quota in 87%, pipeline in 84%, enterprise in 84% — and AI in 77%.
A note on how this book is written
Lakshya's claim is that every statement traces to a posting or to practitioner knowledge. For engineering fields this book's author has both. For sales craft — negotiation, running a close, carrying a number — there is posting data but not lived experience, so this book reports what employers ask for and stays out of coaching territory it cannot back. Where a claim is inference rather than evidence, it says so.
If you sell for a living and something here is wrong, that is worth more to this site than anything else you could send.
The measured picture
| Named in postings | Share | What it tells you |
|---|---|---|
| quota / target / bookings | 87% | Nearly all of these roles carry a number. Ask whether it is individual or shared |
| pipeline / prospecting / outbound | 84% | Self-generated pipeline is expected, not just inbound |
| enterprise / strategic account | 84% | The corpus skews heavily enterprise rather than SMB |
| management / hiring / leading | 91% | A seniority artefact — this sample is senior-weighted |
| AI or LLM | 77% | Either selling AI products or using AI tooling. Read the responsibilities |
| technical | 56% | More than half expect real product understanding, not a pitch deck |
| CRM tooling | 49% | Salesforce, and increasingly Gong and Outreach, named explicitly |
| a named methodology | 19% | MEDDIC, Challenger and similar are named far less than the training market implies |
| travel | 27% |
Two findings worth acting on
- Technical depth at 56% is the differentiator. More than half of these postings want someone who can hold a real product conversation. For anyone crossing over from an engineering or technical background, that is the door.
- Named methodologies at 19% are much less load-bearing than the certification market suggests. Knowing MEDDIC will not distinguish you; being able to describe how you actually qualified and lost a specific deal will.
Compensation, and reading it correctly
Published US figures in this corpus run from roughly $83k at the tenth percentile to $180k median and $320k at the ninetieth — a far wider spread than any engineering field here, because these are frequently base-only figures against an on-target total that may be double. Always establish base, variable, the split, and whether the quota was hit by the team last year — the last one is the number that actually predicts your earnings and candidates routinely fail to ask it.