Enterprise AI only works when the underlying data is accurate - but most CRMs are filled with duplicates, broken hierarchies, and outdated information that undermine forecasting, territory planning, and AI deployments.
We've raised a $14M Series A from top VCs and operators at Plaid, OpenAI, Slack and others to solve this with Agentic Company Data — the AI-native alternative to Dun & Bradstreet.
RevOps teams at Gong, Navan, Mistral, AlphaSense, and Zip use Kernel to eliminate duplicates, fix hierarchies, and deliver the accuracy they need to operate with confidence. What a RevOps expert can do manually for a single record, Kernel can do safely at scale for an entire CRM. Our platform gives teams confidence in the data foundation that powers enterprise decision-making and AI.
Kernel is building the data foundation that makes enterprise AI work and we need someone exceptional to do the same for our own revenue engine. As our Revenue Operations Manager, reporting to the Head of Sales, you'll own the systems, processes, and data infrastructure that power our entire go-to-market motion: from first marketing touch through to closed-won and beyond.
This is a high-ownership, full-funnel role. You'll sit at the intersection of sales, marketing, and finance - keeping our Salesforce instance clean and battle-ready, building the automations and workflows that eliminate manual work, and owning the reporting that drives our commercial decisions. Crucially, you'll also be responsible for standing up and running our marketing CRM capability: forms, lists, attribution, and campaign infrastructure.
What makes this role unusual and genuinely exciting is that we're a Kernel customer ourselves. The CRM hygiene problem you'll be solving internally is exactly the problem our product solves for our customers. You'll use Kernel day-to-day, develop a deep intuition for the product, and feed that back into how we sell and market it. Beyond ops, you'll also own GTM engineering: building integrations and automations using tools like Nooks, Unify, and Claude to give our sales and marketing teams a real edge.
Own Salesforce end-to-end — administer the CRM with a focus on data integrity and hygiene, build and maintain workflows, lead routing logic, validation rules, and object configuration; be the person the team relies on to keep it accurate and fast
Build our marketing CRM infrastructure — set up and maintain forms, contact lists, segmentation, and campaign tracking; own the connection between marketing activity and the sales pipeline
Drive GTM engineering — build and maintain automations and integrations using tools like Clay, Unify, and Claude to enrich data, trigger workflows, and reduce manual effort across the revenue team
Own revenue reporting — design and maintain sales and marketing dashboards; run pipeline reporting, influenced pipeline attribution, and support the forecasting cadence with clean, structured data
Enable the GTM team — manage vendors, run tool onboarding and training, own territory allocation logic, and ensure the team is getting full value from the stack
Ensure accuracy of reporting by building Salesforce requirements so that we can consistently report from finance to product and delivery
Building and maintaining lead routing workflows in Salesforce, ensuring the right leads reach the right rep at the right time
Setting up and iterating on marketing forms, nurture lists, and campaign tracking to support demand generation
Using Unify, and Claude to build outbound and enrichment automations that help the team work smarter
Maintaining multi-touch attribution models to track influenced pipeline across sales and marketing activity
Running territory design and allocation as we grow headcount and expand into new segments
Acting as a power user and internal champion of Kernel's own product - your Salesforce is the test case
3–6 years of experience in Revenue Operations or Sales Operations at a B2B SaaS company
Salesforce admin-level proficiency - you can build what you need from scratch, not just report on what exists
Hands-on experience with marketing CRM and campaign infrastructure: forms, lists, segmentation, and attribution
Comfort with GTM tooling and automation — you've built workflows in n8n, Unify, Zapier, or similar, and you're excited about what AI-native tools like Claude unlock for GTM engineering
Strong analytical skills: you can build a funnel model, design an attribution framework, and present it clearly to a non-technical audience
Experience as an early RevOps hire at a Seed-to-Series B startup
Salesforce Administrator certification
Exposure to outbound and ABM tooling (e.g. Outreach, Salesloft, 6sense)
Prior experience using or selling a data enrichment or CRM intelligence product
Want a clearly scoped role with established playbooks — you'll be writing them
Prefer to sit on one side of the funnel; this role spans sales and marketing ops in full
Are more comfortable as an analyst than a builder — most of your output here will be things you've shipped, not slides you've made
Think CRM hygiene is someone else's problem — it's core to everything we do and core to this role
Aren't genuinely excited about AI-native tooling and what it means for how GTM teams operate
We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling.
💰 Salary: £70k - £100k + equity
🗓️ 24 days holiday per year + bank holidays + 2 weeks work-from-anywhere
💼 Pension plan
💻 Top-spec equipment and central London office
🍽️ Dinner provided when working past 6 pm
🎉 Team events and dinners when we hit weekly targets
🚀 A fast-paced ride in the early innings of a new technology wave
CRM: Salesforce
GTM Engineering: Clay, Unify, Claude
Reporting: Salesforce dashboards + TBD BI tooling
Marketing automation: TBD
Enrichment: Kernel (naturally)
You'll report to the Head of Sales and work closely with our marketing and founding team day-to-day.
We generally require candidates to have the right to work in the UK. However, for exceptional candidates, we may offer visa sponsorship.
Stage 1 – 30-minute intro call with our Head of Sales. We'll cover your background, how you think about RevOps, and what draws you to Kernel.
Stage 2 – A take-home task. We'll share a realistic scenario — expect something involving CRM data, a workflow design, or an attribution problem — and ask you to walk us through how you'd approach it.
Stage 3 – On-site in London. You'll present your Stage 2 work, go deeper on your experience, and meet key members of the team.
Final Stage – A conversation with our founders. We want to understand how you think, what you're building towards, and whether Ke
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