Prelude

• Build AI-powered marketing workflows for content creation, segmentation, personalization, lifecycle marketing, and reporting. • Execute campaigns across paid, organic, email, events, and partnerships. • Develop prompt libraries, editorial standards, and evaluation frameworks that maintain a high quality bar. • Run rapid messaging and content experiments across channels. • Create technically credible content for security and infrastructure audiences. • Partner with RevOps and Sales to improve attribution, reporting, and pipeline visibility. • Maintain and optimize the marketing stack while continuously evaluating new tooling. • Help internal teams understand how AI can improve operational leverage.

• Serve as the primary technical point of contact for customer accounts, ensuring successful deployment and long-term satisfaction. • Lead product demonstrations, proof-of-value engagements, and technical workshops for customers and partners. • Translate customer requirements into scalable implementation plans, coordinating with internal teams to deliver results. • Troubleshoot and resolve technical issues, leveraging internal engineering and security teams as needed. • Develop and maintain technical documentation to support customer implementations and best practices. • Act as a customer advocate by feeding insights and enhancement requests back to product and engineering teams.

• Own sales architecture, workflows, reporting, and CRM hygiene. • Build dashboards and KPI reporting for pipeline, forecasting, conversion, and revenue visibility. • Run forecasting and deal review cadences with sales leadership. • Support territory planning, quota management, and operational planning. • Administer and optimize the broader GTM technology stack. • Improve lead routing, pipeline workflows, and handoff processes across teams. • Support onboarding, enablement, and documentation for sales processes. • Partner closely with Marketing, Operations, and Customer Success to maintain operational alignment.

• Own full-cycle recruiting across technical and GTM/Sales roles including sourcing, screening, coordinating interviews, managing offers, and closing candidates. • Partner closely with hiring managers to understand role requirements, define hiring criteria, and move searches forward with speed and precision. • Build and maintain a strong candidate pipeline through proactive sourcing across LinkedIn, job boards, referrals, and other channels. • Serve as a brand ambassador for Origin, by creating a warm, professional, and memorable candidate experience at every stage. • Keep our ATS (Ashby) accurate and up to date, ensuring hiring data and candidate communications are timely and well-documented. • Track and report on recruiting metrics including pipeline health, time-to-fill, and offer acceptance rates. • Partner with the People & Operations team on employer branding, job postings, and process improvements as we scale. • Collaborate with the HR Coordinator to ensure a seamless handoff from offer acceptance through onboarding.

Role Description Origin is hiring software engineers to help us build across our stack: the agent that collects the data, the service that makes sense of it, and the interface that presents it to customers. - You will own design and implementation from idea through release. - The role demands a high degree of agency, product taste, and raw technical aptitude. - You will work across all of it, from high-performance data ingestion through inference pipelines to the API design and customer-facing surfaces on top. - You will be a heavy user of the product you are building, and the friction you feel in your own workflow becomes the next thing we ship for customers. This is an AI-native engineering team: most of the code we ship is written by agents. You should already be fluent in the agentic coding tools (Claude Code, Codex, OpenCode) and able to build your own when an existing one does not fit. Responsibilities - Obsess over customer problems and ship for velocity and impact over technical pedantry. - Ship across the stack - agent, backend, infrastructure, and frontend - wherever the work is that week. - Build internal agents that automate the repeatable parts of engineering and distribute them across the team. - Define how AI-native engineering works at Origin: the context, permissions, and tooling our agents need to do real work. - Design and operate distributed systems using AWS, EKS, Clickhouse, and Kafka against real production SLAs. - Drive technical decisions on storage schemas, API contracts, and the patterns that hold up at scale in a multi-tenant environment. - Work alongside research and systems-internals engineers to turn their work into reliable production software. Qualifications - AI-native engineering practice: prolific use of Claude Code, Codex, and OpenCode, with the judgment to know when an agent will go off the rails and the skill to redirect it. - Track record of building data-intensive systems at scale (millions of concurrent operations, high-throughput event processing, distributed coordination). - Deep understanding of distributed systems principles: streaming, batching, backpressure, recovery, and consistency models. - Performance engineering mindset: complexity analysis, profiling-driven optimization, and discipline under resource constraints. - Modern systems programming experience, Rust preferred (we value problem-solving ability over specific language expertise). - Strong working fluency in Python across services, inference pipelines, and tooling. - Production experience with cloud infrastructure (AWS preferred), Kubernetes (EKS or equivalent), and event streaming (Kafka or equivalent). - Comfortable working in our React frontend to deliver functionality to end users. - High agency, with a track record of identifying important work and finishing it. Nice to Haves - Background in real-time monitoring or observability infrastructure (Palantir, Datadog, Honeycomb, Chronosphere, the data side of Stripe or Cloudflare). - Background in high-throughput systems (high-frequency trading, real-time telemetry, low-latency distributed systems). - Background in AI infrastructure or applied ML, particularly inference pipelines, embedding and topic systems, or agent orchestration. - Prior founding-engineer or early-stage startup experience. - Open-source contributions or published research in AI tooling, agent frameworks, or developer infrastructure. - Data engineering experience with columnar databases or OLAP / time-series systems. - Deep OS internals knowledge (Windows ETW, Apple ESF, eBPF). - Cross-platform systems expertise (Windows and macOS). Benefits - Fully remote team across the US & Canada. - Built on trust, autonomy, and excellence. - Generous healthcare. - Flexible PTO. - Home-office support.

About Origin by Prelude Origin is building the next generation of endpoint security for the Semantic Era. As AI agents and LLMs fundamentally change how humans interface with computers, legacy signature-based defenses are failing. We are pioneering a new approach - moving from "known bad" detection to "contextual intent" understanding - to ensure enterprises can safely adopt the productivity of AI without the risk. Our platform monitors and protects some of the most important organizations in the world. We are backed by Sequoia Capital, Brightmind Ventures, IA Ventures and other top firms. Role Origin is seeking a Forward Deployed Engineer to be the bridge between our technology and the customers we protect. This is a customer-facing engineering role where you'll embed directly with customers to build bespoke solutions using Origin's endpoint observability platform. You'll spend 70% of your time building - integrating new telemetry sources, adding custom AI agent observability, extending the agent for unique environments, and developing capabilities tailored to customer needs. As a Forward Deployed Engineer, you'll work at the intersection of full-stack engineering and customer success. You'll be the technical expert who understands both our platform's capabilities and the customer's operational reality. This role requires someone who genuinely enjoys solving hard problems alongside customers. You'll collaborate with our research and development teams to translate field insights into product features, but your primary focus is hands-on engineering: building the custom integrations, workflows, and extensions that make Origin work perfectly in each customer environment. Travel may be required for this role, up to approximately 20%. Responsibilities - Partner directly with customers to understand their unique environments, operational constraints, and capability gaps - Design and implement custom telemetry integrations: extend Origin's platform to ingest customer-specific data sources, proprietary log formats, and external threat intelligence - Build bespoke detection and analytics capabilities: develop custom correlation logic, confidence scoring models, and automation workflows tailored to customer needs - Extend the agent for unique environments: ensure Origin works flawlessly in specialized infrastructure, performance-constrained systems, and customer-specific deployment scenarios - Develop full-stack solutions: build custom dashboards, API integrations, data pipelines, and frontend experiences that solve specific customer problems - Gather customer feedback and field insights: translate real-world challenges into product requirements and engineering priorities - Collaborate with research and development teams: share field learnings that drive platform innovation and new capabilities - Support customers through deployment, troubleshooting, and optimization: ensure successful adoption and long-term value realization Skills & Experience - Strong full-stack engineering capability: comfortable building across frontend (React, TypeScript), backend (Rust, Python), and endpoint agent systems - Proven problem-solving ability: creative approaches to novel technical challenges, especially in customer environments with unique constraints - Experience integrating external systems: building data adapters, API integrations, custom telemetry collection, or extending existing platforms - Operating system fundamentals: understanding of Windows and/or macOS internals, process management, memory architecture, and system security mechanisms - Strong communication and interpersonal skills: ability to explain complex technical concepts to both technical and non-technical stakeholders with clarity and patience - Customer empathy and business acumen: genuine interest in understanding customer operational challenges and translating them into technical solutions - Innate aptitude for customer-facing work: you're cool, confident, capable, and genuinely likable - customers should love working with you - Comfortable in fast-paced startup environments with evolving priorities and hands-on execution Nice to Haves - Prior experience in customer-facing engineering roles: professional services, solutions engineering, or forward deployed engineering - Early-stage startup experience: comfort with rapid iteration, ambiguity, creative problem-solving, and wearing multiple hats - Background in security operations, incident response, or red teaming: practical understanding of how security tools are used in real operational environments - Deep knowledge of endpoint security products (EDR/XDR platforms): understanding of how they work internally and how customers use them - Cross-platform systems expertise: experience developing for both Windows and macOS at the OS internals level - Experience with cloud infrastructure and modern DevOps: AWS/GCP/Azure, Docker/Kubernetes, Infrastructure-as-Code (Terraform) - Agent or systems-level development experience: building high-performance native software with resource constraints - Domain expertise in customer industries: supply chain, finance, technology, manufacturing, or other sectors with complex security requirements Working at Origin Origin is a fully remote team across the US & Canada, built on trust, autonomy, and excellence. We empower our team to take ownership, move with purpose, and continuously improve. Our culture values top performers who align with our mission and embrace high standards. We offer generous healthcare, flexible PTO, and home-office support, ensuring our team has the freedom and resources to thrive. While we move fast, we prioritize quality, collaboration, and remain committed to building impactful security solutions with precision.

• Identify and qualify new opportunities through outbound outreach, inbound demand, events, and partnerships. • Run discovery and product demos, understand customer environments and gaps, manage deals through negotiation and close. • Partner closely with Technical Account Managers on demos, trials, integrations, and onboarding. • Develop strong relationships with security leaders and stakeholders, identify expansion opportunities across teams and workflows.

• Partner directly with customers to understand their unique environments, operational constraints, and capability gaps • Design and implement custom telemetry integrations: extend Origin's platform to ingest customer-specific data sources, proprietary log formats, and external threat intelligence • Build bespoke detection and analytics capabilities: develop custom correlation logic, confidence scoring models, and automation workflows tailored to customer needs • Extend the agent for unique environments: ensure Origin works flawlessly in specialized infrastructure, performance-constrained systems, and customer-specific deployment scenarios • Develop full-stack solutions: build custom dashboards, API integrations, data pipelines, and frontend experiences that solve specific customer problems • Gather customer feedback and field insights: translate real-world challenges into product requirements and engineering priorities • Collaborate with research and development teams: share field learnings that drive platform innovation and new capabilities • Support customers through deployment, troubleshooting, and optimization: ensure successful adoption and long-term value realization

• Design, build, and maintain the core infrastructure that powers Origin’s endpoint protection platform. • Develop and manage our CI/CD pipelines to automate the building, testing, and deployment of our software. • Scale our systems sustainably through automation, leveraging Infrastructure as Code (IaC) principles. • Implement and manage robust monitoring, logging, and alerting systems to ensure service health, availability, and performance. • Collaborate closely with software engineers and security researchers to improve the reliability, deployability, and operational aspects of their code. • Practice sustainable incident response and conduct blameless postmortems to drive continuous improvement. • Serve as a subject matter expert on cloud architecture, system scalability, and operational excellence.

• Architect Windows kernel telemetry pipelines • Dissect adversary tradecraft • Conduct attack scenario analysis • Define security event ontology • Perform systems research on Windows internals • Validate telemetry coverage through adversary emulation • Collaborate with engineering to translate research into production • Stay current with offensive security research