Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
SaaScend is seeking a Revenue Operations Consultant to help clients fix how revenue moves through their business. You’ll work across sales, marketing, finance and operations to design better processes and translate them into scalable technology solutions.
You will own projects from discovery through implementation, collaborating with clients and using AI-assisted delivery to automate repetitive work while focusing on strategic problem solving.
Our clients usually don’t come to us saying, “our revenue architecture is broken.”
They say things like:
Your job is to figure out what’s actually broken.
You’ll work across people, process, data and technology to understand how revenue moves through a business, design a better way of operating, and turn that design into systems that actually work.
You’ll own projects from discovery through implementation and get hands‑on with the technology along the way.
We run an AI-assisted delivery model.
Approved designs become structured build specifications that can be executed across our delivery team and increasingly through AI-assisted build agents — from data models and automation through QA and UAT.
That changes the role of the consultant.
You need to understand the business problem well enough to design the solution and the technology well enough to know whether it will actually work.
A requirement like “automatically route leads to the correct rep” isn’t finished.
What determines the correct rep? Territory? Segment? Account ownership? Geography? Product? Existing relationship? What happens when two rules match? What happens when none match?
Precision matters.
You should spend more of your time on discovery, architecture, experimentation, clients and difficult problems — and less time manually creating the same 40 fields.
You understand RevOps as an operating model, not a collection of software tools.
You understand how Marketing, Sales, Customer Success and Finance connect and where processes commonly break between them.
You should be able to take a whiteboard and draw how revenue moves through a business before opening Salesforce.
You need strong hands‑on experience with at least one major CRM.
Salesforce is strongly preferred. HubSpot experience is valuable.
You don’t need to be a Salesforce developer, but you shouldn’t be afraid of opening an org and figuring out what’s happening.
You understand how marketing systems connect into the wider revenue engine.
Experience with platforms such as HubSpot, Marketo, Account Engagement (Pardot) or Marketing Cloud is valuable.
You understand forms, campaigns, scoring, segmentation, nurture, consent, attribution and lifecycle management.
Most importantly, you understand what happens to the data after somebody clicks Submit.
You’re comfortable working with the wider GTM stack.
That might include tools such as Gong, Outreach, Salesloft, Apollo, ZoomInfo, Clay, LinkedIn Sales Navigator, Calendly, Chili Piper and other sales engagement or conversation intelligence platforms.
We don’t expect you to have used every tool.
We do expect you to understand the problems they’re trying to solve and how they should interact with the CRM.
You naturally look for opportunities to remove manual work.
Experience with n8n, Make, Zapier, Workato or MuleSoft is valuable.
You don’t need to be a software engineer.
But JSON shouldn’t scare you.
You’re comfortable getting into the data rather than relying entirely on dashboards.
You can work with spreadsheets and large datasets, investigate inconsistencies and identify why two systems are producing different numbers.
SQL experience is valuable.
You understand deduplication, transformation, field mapping, migration, enrichment, governance and reporting architecture.
When somebody tells you “Salesforce is wrong,” your first instinct is to work out why.
We expect AI to become a normal part of RevOps delivery.
You should be comfortable using AI tools to accelerate analysis, documentation, configuration, development and QA.
Even better if you’ve experimented with AI agents, Claude, ChatGPT, Cursor, APIs, MCP, n8n or similar tools to automate real operational work.
We don’t expect you to arrive knowing our AI delivery model.
We do expect you to be curious enough to learn it quickly.
Technical ability alone isn’t enough.
You’ll regularly be dropped into businesses where five people have five different versions of how the process works.
Your job is to find the sixth version: what actually happens.
When someone says, “We need a new field,” you ask what decision that field enables.
When they say, “We need another automation,” you ask why the process requires it.
When they say, “Salesforce can’t do this,” you investigate before agreeing.
And when they say, “We’ve always done it this way,” you don’t treat that as a requirement.
You can challenge clients constructively, explain technical concepts to non-technical stakeholders and turn messy conversations into clear decisions, processes and technical specifications.
Small, highly collaborative and remote‑first.
There aren’t layers of project management between you and the client. You’ll own problems rather than tickets.
Some weeks that means running discovery with a CRO.
Another week it might mean designing a lifecycle model, debugging a Salesforce Flow, mapping an integration, analysing 100,000 CRM records or building an automation in n8n.
We’re deliberately building an AI-assisted RevOps practice.
Our goal is to automate the repetitive parts of consulting and implementation so our consultants can spend more time understanding businesses, designing better systems and solving difficult problems.
We want people who are excited about what that makes possible.
$120,000—$150,000 USD (Healthcare included)