Revenue Operations Manager, Kernel AI

• 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

Desirable

• 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
• You'll report to the Head of Sales and work closely with our marketing and founding team day-to-day

• 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 Kernel is the right place for that
• If there is mutual fit, we move to references and offer