Business development jobs: how to read a pay plan

In most jobs your pay is a number. In business development jobs, a portion of it is a bet, and the terms of that bet are set by a document most candidates barely read before signing.

Published figures for the field are close to useless. A single number for a role with a large and variable share of contingent pay describes no one's actual income.

It averages people who hit their targets, people who missed, people who left before finding out, and people whose plan paid on a different event.

What to take away

The roles cover a wide spectrum

Before any figure means anything, work out where on this range a specific role sits. The work at either end has little in common.

At one end are sales development representative (SDR) and business development representative (BDR) roles: high volume, short cycles, an activity-based target, and success measured by how many qualified conversations you hand to somebody else. At the other end are partnership manager and business development manager roles: long cycles, few opportunities, heavy dependence on internal approval, and a result that may take a year to appear.

Between them sit account executive roles that own a full cycle from first contact to signature, and account manager roles that manage existing relationships and are measured on growth within them.

Employers use overlapping titles across all of these. The reliable way to tell them apart is to ask what the target is counted in and how long a typical cycle takes. Those two answers place a role on the range immediately, and they usually reveal that the job differs from the impression the title gave.

The plan is the job description

Whatever the plan pays for is what the role actually is, and where the plan and the job description disagree, the plan wins. Every incentive in the building is pointing at what gets counted.

Read it for these things specifically.

What event triggers payment. A signature, a first payment, a delivered service, or a customer still present after some period. The later the trigger, the longer you wait and the more can go wrong in between for reasons entirely outside your control.

Whether it can be taken back. Some plans reclaim payments if a customer leaves or does not pay within a window. That is a legitimate arrangement and it is also a risk you are carrying, so you need to know how far back it can reach and what the actual rate of such events has been.

Who sets the target and how often it moves. A target set by someone who has seen the territory perform is a different proposition from one derived from a company-wide number divided by headcount. Ask what happens if the whole team misses it, and whether it has been revised mid-period before.

Whether there is a ceiling. Some plans cap what can be earned, or reduce the rate above a threshold. This matters most in exactly the years you would otherwise do well.

What happens on the way in and the way out. A ramp period with a guaranteed element protects you while a pipeline is built, and its absence in a long-cycle role means several months of the lower figure. At the other end, plans differ on whether work that closes after you leave is paid at all.

What the split is. The ratio of guaranteed to contingent pay is the single most important line in the document, because it determines how much of your income is a forecast. Two offers with the same headline can carry completely different amounts of risk.

Most of your number is handed to you

There is a persistent belief that outcomes here reflect individual ability. Ability matters, and it matters considerably less than four things you are simply given.

Territory or segment. Two people on identical plans, with identical skill, working different segments will produce different results, and the difference can exceed anything effort accounts for. Ask how territories are assigned and how often they are redrawn.

Inbound flow. Whether interest arrives on its own or has to be created is the largest single determinant of how a year goes. It is also the thing most likely to be overstated in an interview, so ask what proportion of last year's closed work started as inbound.

How quota was set. A target derived from what the territory has actually done is achievable. One derived from what the organization needs to report is a wish with your income attached to it. Ask what percentage of the team hit target in each of the last two periods, and treat a reluctance to answer as the answer.

The product's position and the length of the cycle. Whether the thing being sold has a natural buyer, and how long approval takes on the other side, sets the ceiling on what any individual can do. This is largely outside your influence in a way that discussions of technique tend to ignore.

None of this is an argument that the work does not matter. It is an argument that when you are comparing offers, you are comparing situations at least as much as you are comparing yourself.

Why an average misleads worse here than elsewhere

Published figures for this field carry every ordinary problem and two additional ones.

A broad occupational category mixes distinct jobs. Distributions with a long upper tail put the average above the middle, so a typical person earns less than the average. And official category definitions are written for statistical comparability rather than for your career, so the boundary may not match the job you are considering.

The two extra ones apply to contingent pay: variable earnings mix good years with bad, and their spread is far wider than in salaried work, so the average carries much less information about any individual.

Second, people who did badly leave, so surveys and self-reported figures draw disproportionately from people it worked for. Neither problem is visible in the number.

For data rather than an impression, take it from the US Bureau of Labor Statistics' Occupational Employment and Wage Statistics (OEWS) program, read the occupational definition—and the Standard Occupational Classification (SOC) code behind it—before the figure, and look for a distribution rather than a single value. Treat it as background, not as an answer about a specific offer.

What to ask before you sign

Overtime exemption under the Fair Labor Standards Act (FLSA) turns on duties, not the payment method. The outside sales exemption is one of the white-collar exemptions the US Department of Labor describes in Fact Sheet #17A, which also cites the governing regulation at 29 CFR Part 541.

For an inside role with long hours, establish that classification before the plan is even discussed.

Ask for the plan document itself rather than a summary of it. A reluctance to share it before you accept is informative, and reading it is the only way to find the clauses that a verbal description leaves out.

Common questions

Is a higher contingent share a good sign or a bad one?

Neither on its own. It is a statement about who is carrying the risk. A large contingent share is reasonable where you genuinely control the outcome and the targets are set honestly. It is a poor deal where the outcome depends mostly on inbound flow and territory, because you are being paid in proportion to something you were handed.

Should I negotiate the base or the plan?

The plan, if you can only have one. Base is a single number and the plan governs everything else, including how much of your year is predictable. The clauses on triggers, reclaim and ramp are frequently more negotiable than people assume, because they are less visible than the headline.

How do I compare two offers with different structures?

Compare the guaranteed portions directly, then treat the contingent portions as ranges rather than points. Ask for the actual distribution of outcomes on the team last year and build a realistic case, a poor case and a good case. Comparing two on-target figures as though they were salaries is the most common way people end up disappointed.

Does experience in one segment transfer to another?

The craft transfers. The relationships and the instinct for a particular buyer often do not, and a move across segments frequently resets both. That is worth pricing into a decision, because the first period after such a move tends to look like a worse year without reflecting a worse performer.

How does this compare with a function that has no variable pay at all?

Very differently, and the comparison is worth making explicitly. Work in operations—roles such as operations manager, supply chain analyst, or customer operations specialist—is measured by what it prevents rather than what it closes, and is leveled and paid on a completely different logic, which is set out in operations careers. Anyone choosing between the two is choosing between forms of risk as much as between kinds of work.