---
title: 'MTS at Attention Engineering'
canonical: 'https://feeny.ai/job/mts-attention-engineering-palo-alto-ms5nedt51mcb'
type: 'job'
last_seen: '2026-09-07'
---

# MTS at Attention Engineering

- **Company:** Attention Engineering
- **Location:** Palo Alto, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-08-08
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/attention/d6749927-d4e9-4e37-819a-0efeb28e8180

## Job description

## About Attention Engineering

The gap between how top engineers around the world use AI systems today - elaborate coding agent configs, massive context files, and engineered workflows - and how everyone else uses it is only growing.

We think the company that bridges the gap to create a sovereign product that understands and multiplies the rest of the worlds output will be one of the most important companies built in this decade.

The Team

We’re a small team of builders/researchers. We’ve worked at companies like Citadel, Jane Street, and Optiver, published papers at the top AI conferences, won IOI gold medals, and more.

If your background doesn’t fit cleanly into one of the buckets above, that’s fine. We care about ownership, experience building, and slope, rather than your pedigree.

## The Role

We are hiring one title across multiple strengths. You will own large, critical parts of the system. We hire across a few different spikes, but the bar is exceptional individuals. You’re spike may be:

- AI Runtime & Agent Orchestration: context management, tool use, VLMs, model selection, output quality in production.
- Search, Retrieval, Vector Systems & Data Infrastructure: Embedding pipelines, ranking and retrieval architecture, and data infrastructure underneath.
- Evals, Applied ML & Model Quality.
- Backend Systems & Workflow Architecture: PostgreSQL, Redis, Pub/Sub, FastAPI
- Infrastructure, Cloud Platform & Reliability: GCP, Terraform, Docker, Cloud Run.

You will work directly on the product, platform, and infrastructure with no layers between you and the decisions that matter.

## About Attention Engineering

## Company Overview
- **One-liner**: Attention Engineering develops an AI-powered desktop assistant that learns from user behavior to automate repetitive, multi-app digital workflows.
- **Entity Type**: Private (Pre-Seed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2025
- **Founders**: Aidan Guo and Julian Windeck

## Core Business
- **Primary industry/industries**: AI Productivity, Desktop Automation, Personal AI Assistant
- **Target customers**: Knowledge workers and enterprise businesses seeking to reduce manual data entry and operational friction
- **Mission or purpose statement**: "To change the world, you need attention." The company aims to turn observation into action by building an AI co-pilot that understands users personally and automates their digital workflows.

## Products & Services
- **Attention AI Co-pilot**: An intelligent desktop assistant that proactively supports users in managing and automating their digital workflows. The software observes user behavior to anticipate actions, streamline sequences, and eventually handle certain tasks autonomously across multiple desktop applications. It is designed to understand users personally, surface insights about how they use their time, and reduce manual data entry and operational friction.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding of $1.3M (reported as $1.25M in some sources) raised in a single Pre-Seed round in November 2025
- **Notable Investors/Partners**: Lukas Haas (Google DeepMind, Sequoia Scout), Village Global, Liquid 2 Ventures, Bryan Pellegrino (LayerZero), Marvin von Hagen, Felix Schlegal, Silas Alberti (founding team, Cognition), Everyday Intelligence
- **Growth Signals**: The company is actively hiring for engineering roles, planning enterprise pilots with early adopters, and expanding engineering capacity in machine learning, systems, and privacy. It maintains distributed engineering hubs in Cambridge, Zurich, and Munich, with product and go-to-market teams in San Francisco and London.

## Competitive Advantages
- **Behavioral Learning**: The system observes user behavior to replicate sequential processes without requiring explicit programming, making it highly personalized and adaptive.
- **Founding Team Depth**: Founded by a 19-year-old serial entrepreneur (Aidan Guo) and a 23-year-old Cambridge graduate with research experience from MIT and Berkeley (Julian Windeck), bringing a mix of business acumen and deep technical expertise.
- **High-Profile Backing**: Attracted investment from notable figures at Google DeepMind, Sequoia, LayerZero, and top-tier funds like Village Global and Liquid 2 Ventures, signaling strong industry confidence.
- **Distributed Engineering Model**: Plans to maintain engineering hubs in Cambridge, Zurich, and Munich, allowing access to top European AI talent.

## Strategic Focus
- **Product Development**: Further developing its AI desktop assistant, with a focus on machine learning, systems, and privacy.
- **Enterprise Pilots**: Beginning enterprise pilots with early adopters to validate the product in real-world business environments.
- **Talent Expansion**: Actively hiring to expand engineering capacity across its distributed hubs, with a focus on machine learning engineers, systems engineers, and privacy specialists.
- **Go-to-Market**: Building product and go-to-market teams in San Francisco and London to drive adoption among knowledge workers and enterprise customers.

## Why Work Here
- **Early-Stage Impact**: As a pre-seed startup, employees have the opportunity to shape the product and company culture from the ground up.
- **Distributed Engineering Hubs**: The company maintains engineering teams in Cambridge (UK), Zurich, and Munich, offering flexibility for top European AI talent, while product and go-to-market teams are based in San Francisco and London.
- **Founding Team**: Work directly with a young, ambitious founding team (founders aged 19 and 23) backed by high-profile investors from DeepMind, Sequoia, and LayerZero.
- **Cutting-Edge AI**: Tackle challenging problems in behavioral AI, desktop automation, and privacy-preserving machine learning.
- **Culture**: The company emphasizes "attention to details" and a mission-driven approach to changing the world through productivity. The team includes graduates from Cambridge, ETH Zurich, and Carnegie Mellon.

## Sources
1. [attention.inc](https://attention.inc/)
2. [thesaasnews.com](https://www.thesaasnews.com/news/attention-engineering-raises-1-25m-in-funding)
3. [businesscloud.co.uk](https://businesscloud.co.uk/news/cambridge-graduate-launches-ai-firm-with-teen-in-san-francisco/)
4. [startupintros.com](https://startupintros.com/orgs/attention-engineering)
5. [ventureradar.com](https://www.ventureradar.com/organisation/Attention_[dot]_inc/458dce29-44c8-40fe-8c1c-6d10a32415fc)
6. [businessinsider.com](https://www.businessinsider.com/attention-engineering-gen-z-startup-founders-fundraising-advice-2025-10)
7. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/attention)

## Other roles at Attention Engineering

- [MTS - Design Engineer](https://feeny.ai/job/mts-design-engineer-attention-engineering-san-francisco-bay-area-rkc15z875h46) — San Francisco Bay Area, CA
- [MTS](https://feeny.ai/job/mts-context-san-francisco-16e7633nekf9) — San Francisco, CA