Mid-Market Account Executive

About Kernel:

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AI only works when the underlying data is accurate — but most CRMs are filled with duplicates, broken hierarchies, and outdated information that undermine forecasting, territory planning, and AI deployments.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.

The Role:

• We are looking for our first Account Executives.

• Our first ramped AEs are far exceeding quota, so we know the motion works.

• We are currently booking more meetings than we can handle. You’ll immediately have a book of exceptional opportunities.

• Our targets call for millions of additional ARR this year. You will play a major role in that.

Important to Know:

• Hours - This will be an exciting but intense job. Kernel is growing extremely fast and hours can often be long. Many of our customers are on the West Coast, and meetings can be held late in the evening.

• Working location - Minimum 4 days a week in the London office (most people do 5).

Responsibilities:

• You’ll manage complex sales cycles with some of the best mid-market and emerging enterprise businesses out there (~500-5,000 employees), from mid-five through to six-figure deals.

• Most opportunities will be sourced for you by the SDR team, however sourcing additional pipeline is expected.

• You’ll collaborate with the wider team on GTM strategy as we expand our ICP & experiment in other verticals.

• You’ll help to create our sales processes as you build them.

• You’ll become the best person in the company at explaining & pitching the product.

• You’ll work closely with product, engineering, and customer success, bringing in insights from across the company and performing an essential part of our product feedback loop.

Your Traits:

• Entrepreneurial: creative, resourceful, generalist.

• All-in: hard-working, excited to stretch yourself, willing to take out the trash.

• Clear thinker, good writer: you can crisply articulate your ideas, goals, and plans and help our customers make sense of hairy consulting-like problems.

Essential Qualifications:

• 3-7 years of experience.

• At least 1 year consistently closing deals worth $50k+/year in a multi-stakeholder sales process, consistently hitting six- to seven-figure targets.

• Ability to execute on a consultative, solutions-oriented, value-based selling methodology.

• Track record of consistent over-achievement in past sales roles.

• Ability to discuss technical concepts with prospective customers and translate requirements into a demonstrable product.

• Comfort negotiating and navigating contracts, security and legal discussions without support.

• Strong verbal, written, and interpersonal skills.

Nice-To-Have:

• Startup/scale-up experience is a plus.

• Experience selling to Revenue Operations, GTM and/or Sales teams.

• Familiarity with Salesforce.

What we offer:

• Working directly with the founding team.

• Dinner: Free when working past 6 pm.

• Holidays: 24 days plus bank holidays.

• £140k-160k OTE + meaningful equity (our first AEs are on track to exceed this)

• Equity: Option grant on employee-friendly terms.

• Ability to work abroad for 2-weeks a year

Interview Process

Stage 1 – 30-minute intro call with Zak. You’ll discuss your sales experience and motivations.

Stage 2 – Discovery role play (≤ 2 hours prep).

Final Stage – Founders interview with Anders (CEO) and Marcus for culture and values alignment.

If there is mutual fit, we move to references and offer.

Bots need not apply. If you're a human, include the number of high-value accounts that were added to Remote's CRM from using Kernel (in the Remote case study on our website) in your application.