Hyperspell

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 ML engineer, your mission is to advance what's possible with AI agents. You'll be working at the frontier of how AI systems understand, remember, and reason about information. You'll tackle challenges like: Contextual knowledge: Building systems that extract entities and relationships from unstructured data, enabling agents to traverse connections, surface insights, and provide context across organizations Smarter retrieval: Developing hybrid search strategies that combine semantic similarity, graph traversal, and other heuristics Memory that evolves: Creating systems that don't just store information but understand when facts change, determine what’s relevant, and intelligently forget what's no longer valid. Query understanding: Teaching our system to expand and rewrite queries, understand user intent, and retrieve information the user needs but didn't know to ask for Multi-modal pipelines: Improving how we parse, chunk, and represent complex documents, structured and unstructured data, tables, images, call recordings, hierarchical content. This is a high-autonomy role where you'll own problems end-to-end: from researching approaches, to prototyping, to shipping production systems that handle millions of documents. You'll work directly with founders and have outsized impact on the product and company direction. You don't need experience training models from scratch, but you need a deep understanding of LLMs, embeddings, NLP, and agentic architectures; as well as an innate intuition what actually moves the needle on agentic quality. What you'll do Within 30 days, you'll own our core agentic query loop — the experience of serving our customer's AI agents the right context at the right time. Within 60 days, you'll work on our most ambitious projects: building a continuously updating, self-referential memory network; building procedural memory and memory f

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 forward deployed engineer, your mission is to set our customers up for success, and work advance what's possible with AI agents. You'll be working at the frontier of how AI systems understand, remember, and reason about information. You'll tackle challenges like: Evolving the world’s first self-integrating SDK: Improving how developers connect their apps to Hyperspell, making integration feel like magic Owning relationships: You’ll be the face of the company to many of our customers. You’ll respond to their feature requests and their bug reports, and will fix many yourself before they even hit our ticket system. Customer deep-dives: Embedding with customers to understand their business, their data, their users — then finding opportunities to solve problems they didn't know they had Full-stack feature ownership: Building new integrations, API endpoints, dashboard features, and analytics tools end-to-end. Shaping the product: Translating customer pain points into product direction. Your insights from the field will directly influence our roadmap Technical enablement: Helping customers architect their implementations, debug tricky issues, and get the most out of our platform What you'll do In the first 30 days, you'll take over new accounts, own onboarding customers to Hyperspell, and build and ship smaller features they request. In 60 days, you'll ship internal tools and dashboards to help us manage workflows. You'll deploy custom AI agents to work alongside you to help our customers succeed. In 90 days, you'll own larger projects that touch all parts of our stack and affect both current and future customers. Requirements 3+ years of experience product engineering Fluency in Python and Typescript Clarity of thought, excellent communication A genuine joy in helping other engineers succeed Ability to work on location in San Francisco Compe

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 wor