Partnerships / channel manager — tasks, one by one
The unit of analysis is the task, not the job title. Each one below carries its direction, whether the judgement rests on evidence or on platform inference, the reasoning, and what it does not establish.
Every task on this page#
Working out which partner is real
Automating≈ Platform inferenceMapping who already sells to the customers you want, then working out which of them has actual distribution rather than a logo page and a willingness to sign.
Assembling what is publicly known about a company's customers, channels and partners, and drafting a first read on fit, is retrieval and summarisation — the work these tools crossed the professional threshold on. The weeks of desk research that used to precede a partner list largely are automated; deciding whether their salespeople will actually carry your product is not.
A longer shortlist is not more partnerships. The bottleneck in this job has never been finding candidates, it is that most signed partners never sell anything — so faster sourcing mostly produces a bigger pile of dormant agreements, and someone still has to explain the pile.
Agreeing what each side actually owes
Still human-led≈ Platform inferenceMargin splits, exclusivity, who owns the customer, what happens when it ends — and knowing which of those the other side will really fight for.
Drafting and comparing contract language automates well, and that is genuinely most of the paperwork. The binding constraint is authority: a concession on margin or exclusivity commits the company for years, and it has to be made by someone who can be held to it — inside a relationship where each side is guessing what the other will accept.
Being the hardest part to automate does not make it most of the week. In most partnership roles this is a handful of conversations a year sitting on top of many hours of research, chasing and reporting — so the role can shrink a great deal while the irreplaceable part stays exactly where it is.
Getting the two systems actually connected
Being augmented≈ Platform inferenceChasing an integration across two companies' engineering queues, neither of which reports to you, until orders can actually flow.
The build itself got much cheaper: connector code and mapping between two schemas are among the things these tools do best, so integrations that took a quarter now take weeks. What did not change is that the work sits in two queues owned by other people, and priority is a relationship problem rather than a technical one.
Cheaper integration is why the number of live connections grows and why most of them carry no volume. A connected partner and a selling partner get reported as the same milestone, and only one of them is revenue.
Keeping them selling after the announcement
Still human-led≈ Platform inferenceTraining their salespeople, being the person they call, and finding out why a partner that signed enthusiastically has sent nothing in four months.
A partner's salespeople sell what they understand and trust, and both are built by a person showing up repeatedly. The reason a channel goes quiet is usually something nobody will put in writing — a competing product pays more, a bad first deal, the champion left — and it surfaces in conversation or not at all.
This task surviving does not protect the headcount around it. One manager can nominally cover thirty partners; the work does not disappear, it thins out per partner until the quiet ones are never called — and nobody logs the calls that were not made.
Counting what the channel actually produced
Automating≈ Platform inferenceWorking out which revenue genuinely came through a partner rather than being attributed to one, and reporting it to people who would prefer a bigger number.
Attribution and reconciliation across two systems is matching and arithmetic — well within what current tooling does unattended, and it removes the reporting queue this role used to carry.
Automating the count does not settle the argument, it sharpens it. A number that is harder to flatter makes more partnerships look dormant, and the person who has to say so out loud is the same person whose role is justified by the channel being worth having.
Governing what partners say in your name
New task✓ Evidence-backedChecking what a white-label or embedded partner publishes, quotes and promises as you — including the material their own tools now generate.
White-label arrangements always carried this risk, but the volume changed: a partner whose tools draft descriptions, prices and answers can publish more under your brand in a week than it used to in a year, and nobody on either side was assigned to read it. The duty arrived with the capability.
The obligation moved and the authority did not. Your contract usually lets you object after the fact, not approve in advance — so this is a monitoring duty over someone else's output with no ability to stop it at source, and nobody has decided how much of it to sample.