blankspace

Monetizes AI-driven web traffic analytics

Founding Software Engineer

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeLondon, UKIn-person

About the Job

Requirements

Experience shipping models into live systems where speed and reliability matter, with the ability to distinguish a good demo from a production-ready product.
Ability to build evaluations before drawing conclusions and to prioritize measured results over impressions.
Commercial judgment to prioritize work that drives revenue, including engaging directly with brands and publishers about model value.
Comfort working in a small, high-trust team and taking on a range of tasks.
Fluency in Python and TypeScript is preferred.
At least 5 years of shipping production software, including machine-learning models and the pipelines behind them.
An agent-first approach, using agents to accelerate the loop from idea to experiment to production, while applying judgment about what to test and release.

Responsibilities

Own the models powering the citation engine and brand extraction, and future models for matching and pricing ads in the auction.
Own the AI and machine-learning roadmap, the data pipelines used to train models, and the infrastructure those models run on.
Work closely with the CTO.
Measure and evaluate models and experiments, progressing proven results into production.

Desired Qualifications

Experience in ad technology, search ranking, or recommendations is a strong plus.

Founding Software Engineer

blankspace · London, United Kingdom · Full-time · Posted 2026-10-12

Salary: GBP 80,000–120,000

Workplace: on_site

Department: Engineering

Description

We are looking for an experienced software engineer who understands AI & ML pipelines and has shipped models into production.

Everything we build depends on understanding how AI agents read, cite and recommend: which brands get cited, how well an ad fits a page and the question an agent is answering, and what an impression to an agent is actually worth. You’ll own the models behind all of it, from our citation engine and brand extraction today to the models that will match and price ads in our auction tomorrow.

You’ll work closely with our CTO, and own our AI & ML roadmap, the data pipelines your models learn from, and the infrastructure they run on. Knowing what good looks like, and proving it with measurement, is what we’re hiring for.

Our structure is intentionally flat, with influence earned through skill & context. Our codebase is shared rather than siloed, and we move fluidly across priorities as a team. We have dozens of agents working alongside us every day, so we go from an idea to a measured experiment in hours, and from a proven result to production just as quickly. It’s how a small team builds at the pace of one ten times our size.

Requirements

You’ve shipped models into live systems where speed and reliability matter, and you know the difference between a good demo and a good product.
You measure before you believe. You build the evaluation first and trust numbers over impressions.
You’re commercially minded, prioritising what moves revenue rather than what’s interesting to build. You’ll hear directly from brands and publishers on what your models are worth to them.
You’re comfortable in a small, high-trust team, happy to pick up whatever’s needed.
Python & TypeScript fluency preferred.
Experience in ad-tech, search ranking or recommendations is a strong plus.
5+ years of shipping production software, including ML models and the pipelines behind them.
You work agentic first. Agents speed up your loop from idea to experiment to production; your judgement decides what’s worth testing and what goes live.

Benefits

Early stage equity
Competitive salary

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About the Company

blankspace

Monetizes AI-driven web traffic analytics

blankspace.so helps website owners monetize and analyze traffic generated by AI agents (e.g., ChatGPT, Perplexity, Gemini). It provides an analytics layer that identifies more than 73 AI agents, tracks what AI visitors read, and spots monetization opportunities. The platform includes a marketplace to sell text-based ad placements to brands, delivering these ads in real time before the page loads without affecting human visitors. By addressing unauthorized AI scraping, it offers insights into AI agent profiles, traffic volumes, and their share relative to human visitors, effectively quantifying the value of an AI-driven audience. The overall goal is to turn AI-driven visits into revenue and make the value of AI traffic measurable for publishers.

Company size: 1-10
Company stage: Seed
Total funding: $280K
Headquarters: Maidstone, United Kingdom
Founded: 2025

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