Senior Product Engineer, Kernel AI

£120-140k

Meaningful option grant on employee-friendly terms

Kubernetes

Senior and Expert level

London

More information about location

4-5 days a week in office (Borough High Street, London)

RevOps Agents for the world's best GTM teams

Job no longer available

RevOps Agents for the world's best GTM teams

21-100 employees

B2BArtificial IntelligenceEnterpriseInternal toolsBusiness IntelligenceSaaSSales

Job no longer available

£120-140k

Meaningful option grant on employee-friendly terms

Kubernetes

Senior and Expert level

London

More information about location

4-5 days a week in office (Borough High Street, London)

21-100 employees

B2BArtificial IntelligenceEnterpriseInternal toolsBusiness IntelligenceSaaSSales

Company mission

To enable revenue teams to research companies as if they had unlimited time.

Job

Company

Role

Who you are

6+ years of software engineering experience
Experience working in an early stage start-up
A well-rounded product engineering toolkit
The ability to work independently and autonomously
The ability to operate in a small team with shifting priorities
Some experience working with Kubernetes
Experience working with large volumes of data
You’re a well-versed “T-shaped” product engineer with a spike in backend engineering
You don’t have to be a DevOps wizard, but some experience working with AWS and Kubernetes would very helpful
You’re adaptable, often taking initiative to identify and tackle tasks autonomously, and you enjoy making valuable contributions at pace
The lean nature of the team means you thrive in a low-structure environment, and having the ability to communicate clearly is very important

Desirable

LLM experience, such as building RAG-models and prompt engineering and familiarity with the main foundation models on the market
Some front-end experience

What the job involves

You’ll be working with the product and engineering team on building the product in general, but will help support our existing infrastructure, ensuring we can scale in an efficient manner
Kernel provides customization at scale, which means we process millions of accounts, collect terabytes of data, and run tens of thousands of executions in parallel
Your role will be to own our back-end infrastructure - everything from AWS to our workflow automations in n8n - helping us scale from $1M to $10M ARR
We are still in early stages of building out our infrastructure which means you have the opportunity to play a key role in shaping what we build and how we build it
Working on ensuring a world-class, scalable back-end infrastructure
Working daily with the team to move us toward our next goal
Rapidly shipping features to users and to our internal team
Continuously evaluating our code, infrastructure, and processes to see if they meet our needs, always looking for ways to improve
Automating our manual processes
Sharing feedback on roadmap direction and ideas on bets to place / potential solutions
️ Tech stack:
Back-end (AWS): NodeJS, Typescript, Postgres
Front-end: NextJS, Typescript, Tailwind
Workflow automation: n8n

Application process

1. 30 minute intro call with our Product Manager, Marcus (Hiring Manager).
2. Take-home task where you’ll be asked to solve a real-world problem (max 2 hours)
3. System architecture white-boarding interview
4. Values interview our founder and CEO
(Reference calls)

Salary benchmarks

Our take

Company revenue and sales teams spend considerable time manually researching potential leads and customers, ascertaining if these potential clients are suffering from the problem their product is solving. Trawling through lead job descriptions and non-public financial data is a lengthy process, especially if you’re trying to infer information from them. Kernel.AI, formerly known as Momentum AI, saves revenue and sales team time with its fleet of AI Agents.

Kernel’s AI agents can be synced to Salesforce accounts to automate research into potential leads. The software maximises revenue and saves teams insurmountable time by building lists of potential customers. Growing enterprises such as GoCardless and FlatPay use Kernel to speed up their lead list.

The AI sales agents market was valued at $5.1 billion in 2024. By 2030, it’s expected to grow to $47.1 billion, indicating a lucrative space for Kernel. Launched by a founder who has already successfully launched two companies, Kernel shows plenty of promise as it builds itself up from 2023 seed funding.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

May 2025

$9m

Series A

Dec 2023

$5m

Seed

Total funding: $14m

Company benefits

Working directly with the founding team
Dinner: Free when working past 6 pm
Holidays: 24 days plus bank holidays
Equity: Meaningful, option grant on employee-friendly terms
Ability to work abroad for 2-weeks a year + flexibility during the working week for appointments (or anything else)
Regular team, office, and company-wide celebrations
Enhanced Parental Leave
Company provided MacBook

Company values

Unreasonably Customer-focused
Silly Ambitious
Transparent by Default

Company HQ

Borough High St London

Leadership

Anders Krohn

(Founder)

Also a Member of RevGenius. Previously CEO for and Co-Founder of Aula Education and was the Co-Founder and Managing Director of Ublend.

Marcus Henglein

(Co-Founder)

Previously a co-founder and Advisor at projectaccess.co. Prior to that, they worked in Light Reconnaissance for Forsvaret and in Consulting at The Boston Consulting Group.

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