About Hyperspell

Hyperspell is the Memory & Context Layer for AI Agents.

AI agent are clueless geniuses.

AI agents are crushing humans on any standardized test, but wouldn't last a day at a real job. What today's super-intelligent agents are missing is the real world context they are operating in. A context that humans stitch together from hundreds of data points across dozens of interactions and channels. A context that grows with their tasks.

Hyperspell gives AI agents this context by connecting to their user’s workspace data and building a personalized memory and context layer.

Our Values

We believe the future is shaped by those with the boldest ideas. Our mission is to become the default context layer for all organizations that all their AI agents can connect to. We’re not doing this because it’s easy, but because it’s worth it.

We care deeply. We care about our customers and their success, about the future of AI and its contribution to society, and most of all, about each other. Building the frontier of AI, we are de facto one of the most technologically advanced companies in human history — and because of that, not despite that, want to be the most human company too. A place where we can enjoy shaping the future together.

Our Investors

We're backed by incredible investors including Y Combinator, Afore Capital, Scribble Ventures, and Pioneer Fund. Our angel investors include technical staff from OpenAI, Anthropic, xAI, and DeepMind, as well as some of the most well-respected founders in Silicon Valley, including Siqi Chen (Runway) and Julian Weisser (On Deck)

Our Founders

Hyperspell was founded in 2024 by Conor Brennan-Burke and Manu Ebert. Conor previously lead growth at Checkr and managed their $30m API product portfolio and is generally known as "the most helpful founder in YC".

Manu has over 15 years of experience in machine learning and AI, sold two prior companies, led high-growth engineering teams at Airbnb, and bought his first .ai domain in 2014 (he had to send a fax (!) to the domain authority in Anguilla to do so).

About the role

As our founding platform engineer, your mission is to build the infrastructure that makes Hyperspell feel like magic — fast, reliable, and effortlessly scalable. You'll own the foundation that our entire product is built on, ensuring that when customers trust us with their data, we never let them down.

You'll tackle challenges like:

• Scaling to the next order of magnitude: We're growing fast. You'll design and evolve the systems that let us absorb 10x traffic increases without anyone noticing

• Bulletproof data pipelines: Millions of documents flow through our platform. You'll build the concurrency control, deduplication, and fault tolerance that ensures every single one is processed correctly, exactly once

• Making it fast: You'll profile, benchmark, and ruthlessly optimize — shaving latency from search queries, eliminating bottlenecks, and making every API call feel instant

• Observability that tells a story: Building the dashboards, traces, and alerts that let the team understand what's happening in production at a glance — and get paged before customers notice

• Infrastructure as a product: Our platform is our product. You'll treat uptime, performance, and developer experience as features, not afterthoughts

This is a high-autonomy role where you'll own problems end-to-end: from diagnosing a production incident, to shipping the fix, to building the systems that prevent it from ever happening again. You'll work directly with founders and have outsized impact on the company.

What you'll do

• Within 30 days, you will map out our biggest bottlenecks and help us migrate legacy services to scalable alternatives

• Within 60 days, you'll have spun up a continuous monitoring across environments and use agentic AI to resolve problems before they arise

• Within 90 days, you will have built a scalable, distributed ETL pipeline for our continuous ingestion and memory extraction that works for our smallest startup customers and large enterprises alike.

Requirements

• 3-5 years of experience in backend, platform, or infrastructure engineering

• Strong fluency in Python

• Deep understanding of databases, networking, and distributed systems

• Experience operating production services on cloud infrastructure

• Clarity of thought, excellent communication

• Ability to work on location in San Francisco

Compensation

• $150-250k base salary

• 0.5-1.5% equity

• $10,000 to build your dream work setup

• Health, dental, and vision coverage and generous health benefits