Intuition Machines, Inc.

Role Description We’re looking for a Technical Marketing Lead who thrives at the intersection of engineering and go-to-market strategy. In this role, you’ll take complex product capabilities and translate them into clear, compelling stories that resonate with technical audiences: developers, security teams, and decision-makers alike. If you have an engineering background and enjoy shaping product narratives, building developer-focused content, and creating programs that drive adoption, this role offers the opportunity to make a significant impact. What will you do: - Design and run technical marketing campaigns that generate qualified leads and showcase our solutions’ value. - Develop precise, technically credible messaging, positioning, and value propositions. - Create high-impact technical content: whitepapers, solution briefs, blogs, demos, webinars, and competitive insights that empower sales teams and educate customers. - Build training resources, demo environments, and competitive analyses to strengthen sales, solutions engineering, and partner success. - Represent Intuition Machines as a trusted advisor: presenting at conferences, webinars, and industry events. - Partner closely with Product, Engineering, and Sales to ensure technical roadmaps align with marketing strategies. Qualifications - 5+ years in technical marketing, product marketing, developer advocacy, or solutions engineering in B2B technology (cybersecurity, identity, or adjacent fields). - 5+ years in an engineering role (software, systems, or related technical field). - Strong track record creating demos, technical documentation, and developer-facing content. - Knowledge of modern go-to-market approaches (PLG, ABM, channel, etc.). - Familiarity with open-source communities or developer ecosystems. Requirements - Using AI: Coding agents are indisputably useful tools. We provide access to the top 3 models, and were early adopters of evals-first development flows. - Familiarity with coding using agents is part of all interviews. - Reliability and correctness are critical; you will need to read and understand every line of code with your name on it, and it will be reviewed by both people and machines. Benefits - Fully remote position with flexible working hours. - An inspiring team of colleagues spread all over the world. - Pleasant, modern development and deployment workflows: ship early, ship often. - High impact: lots of users, happy customers, high growth, and cutting-edge R&D. - Flat organization with direct interaction with customer teams. - We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members.

Role Description As a Senior Site Reliability Engineer, you will focus on engineering solutions related to performance, availability, security, and cost-effectiveness. We consider these non-functional features to be core requirements for us and our customers. You will work at multiple layers of our internet-scale system (infrastructure, data, application logic) and build the solutions. What you will do: - Work with large-scale systems (handling millions of requests per second, serving millions of users, across multiple cloud providers). - Develop solutions to enhance performance, availability, security, and cost-effectiveness. - Keep us up, keep us fast, and keep our dev teams productive ensuring that every peer release improves performance across the spectrum including quality, security, uptime, speed-to-deliver, threat detection, and customer engagement. - Source improvement ideas, priority and capabilities from customers, the internal community, new and existing system metrics. Make decisions rapidly. - Be creative and desire an environment where you can directly create value and be a force to improve the experience for our customers. Qualifications - Expert in Kubernetes. - Expert in monitoring applications, infrastructure and network. - Background in software engineering with expertise in backend development within Kubernetes-based systems. - Strong programming skills in one or more of the following languages: Python, JavaScript, Go, C++, Rust. - Strong understanding and experience in networking, proxies, content delivery networks (Cloudflare). - Multi cloud experience including virtual networking, load balancing, web application firewall. - Strong experience with CI/CD. - Hands-on experience in development and orchestration within high-scale, high-uptime, and high-reliability environments. - Minimum of six years of hands-on experience in related roles (engineering, DevOps, SRE). - Familiarity with distributed systems, including queue-first architectures and sharding. - Demonstrated engineering expertise, including gathering requirements, problem-solving, and making recommendations. - Preferred: Familiarity with security frameworks, attack vectors, botnets, and impact analysis. Benefits - Fully remote position with flexible working hours. - An inspiring team of colleagues spread all over the world. - Pleasant, modern development and deployment workflows: ship early, ship often. - High impact: lots of users, happy customers, high growth, and cutting edge R&D. - Flat organization, direct interaction with customer teams.

Role Description The Detection team’s mission is to empower our engineers and customers to identify fraud and abuse. This team builds tools, infrastructure, and features that are core to the product and its machine learning capabilities. As an Engineering Manager, you will be responsible for leading solutions that directly impact user risk analysis and mitigation. Working with team members, you will continuously iterate and develop cutting-edge features that improve our detection capabilities. - Manage, grow and support a team of experienced engineers responsible for applications, tools, and infrastructure that drive our security products. - Work closely with engineers, scientists, stakeholders, and other domain experts to come up with and execute on unique solutions that contribute to detection and mitigation of fraud and automation. - Mentor and guide engineers to grow in skill and knowledge, allowing them to make the best decisions given the right tools and context. - Participate in code and architecture design, contribute to feature development, and maintain high quality standards via peer reviews and mentorship. Qualifications - 8+ years of professional experience in software engineering. - 2+ years of leading or managing engineering teams. - Extensive experience with Typescript or Python, familiarity with other languages like Rust, Go, or C++. - Understanding of distributed systems and scaled operations, ideally in the context of having built applications that scale to handle millions of requests per second. - Familiarity with Kubernetes and Docker. - Demonstrated leadership skills in building a high-performing and highly engaged engineering team, preferably in geo-distributed orgs. Nice to Haves - Experience working with edge workers (Cloudflare Workers, Fastly Edge Compute or Akamai Serverless Compute). - Production level applications with Rust and or Golang. Benefits - Fully remote position with flexible working hours. - An inspiring team of colleagues spread all over the world. - Serious impact: very few organizations run at our scale. - Pleasant, modern continuous development and deployment workflows: ship early, ship often. - High impact: lots of users, happy customers, high growth, and cutting edge R&D. - Flat organization, direct interaction with customer teams and high product influence. - We celebrate diversity and are committed to creating an inclusive environment for all members of our team.

Role Description As a Senior Backend Engineer, Security Automation, you will design and implement systems that automate and improve key Security Operations Center (SOC) processes. Your work will enhance our capabilities in bot detection, fraud mitigation, phishing detection, and other security automation efforts, helping the team operate efficiently and effectively at scale. What you will do: - Design, build, and maintain automation tools and services that support core SOC operations, managing the full lifecycle from requirements to deployment. - Streamline workflows and improve security efficiency using modern technologies such as microservices, Kubernetes, Python, and message queues. - Collaborate closely with security analysts and engineers to solve complex automation and operational challenges. - Research emerging security and automation standards, identifying new technologies that strengthen our defenses and processes. - Contribute to system reliability, observability, and scalability through thoughtful automation and process design. Qualifications - 5+ years of experience in backend software development. - Proficiency in Python and familiarity with microservice-based architectures. - Deep understanding of programming best practices, design patterns, and testing methodologies. - Experience writing secure code and applying OWASP security principles. - Solid experience working with SQL databases. - Strong communication skills and the ability to collaborate across technical teams. - Familiarity with Docker and containerized development workflows. Requirements - Hands-on experience with Kubernetes or other orchestration platforms (nice to have). - Familiarity with frontend technologies or frameworks (nice to have). - Experience participating in bug bounty programs or contributing to security research (for example, public CVEs) (nice to have). - Understanding of browser and network security, modern web architecture, and web automation frameworks (nice to have). - Working knowledge of Linux environments (nice to have). Benefits - Fully remote position with flexible working hours. - An inspiring team of colleagues spread all over the world. - Pleasant, modern development and deployment workflows: ship early, ship often. - High impact: lots of users, happy customers, high growth, and cutting-edge R&D. - Flat organization with direct interaction with customer teams.

Role Description As a Senior Backend Engineer on our Detection team, you will develop, support, and maintain the core hCaptcha application tools and services that detect and verify user events. You will work closely with Security and Machine Learning engineers to continuously build features that improve hCaptcha's capabilities by leveraging languages such as JavaScript and or Go to solve problems that impact users on a global scale. You will practice DevSecOps, handling operations around your code including security implementations, monitoring, automation, and production systems. Our customer-focused organization means you will interact directly with enterprise customers and startups when needed, alongside our product, customer success, and sales teams. Using AI: Coding agents are indisputably useful tools. We provide access to the top 3 models, and were early adopters of evals-first development flows. Familiarity with coding using agents is part of all interviews. However, reliability and correctness are critical for us. You will need to read and understand every line of code with your name on it, and it will be reviewed by both people and machines. What will you do: - Collaborate with team members and domain experts to execute on solutions that directly impact the ability to detect and mitigate fraud and automation. - Design and implement features that aim for low-latency, high-availability, transparent performance insights. - Write clearly structured, maintainable, well-documented, and tested code that meets open-source quality standards. - Support engineering excellence through code reviews, test automation, and on-call participation. What you will learn: - Experience working with systems that serve hundreds of millions of daily users. - Security and Machine Learning expertise through product development and company knowledge sharing. - Cutting-edge technology to be leveraged in solutions to combat the ever evolving cybersecurity landscape. Qualifications - 4+ years of hands-on experience in backend engineering roles. - Proven experience building scalable solutions with JavaScript and/or Go. - Expertise in Web APIs, HTTP, SSL, and database management. - Strong background with serverless and containerization architectures. - Proficiency in network protocols and distributed systems. Requirements - Production experience with Python and Rust or Go. - Knowledge of security frameworks (OWASP, CISA), attack vectors, botnets, etc. - Experience working across infrastructure such as developing CI/CD pipelines, metrics-driven deployments, managing system resources, etc. Benefits - Fully remote position with flexible working hours. - An inspiring team of colleagues spread all over the world. - Pleasant, modern development and deployment workflows: ship early, ship often. - High impact: lots of users, happy customers, high growth, and cutting edge R&D. - Flat organization, direct interaction with customer teams. We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members. Join us as we transform cybersecurity, user privacy, and machine learning online! Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.

Role Description As a Senior ML Data Engineer, you will help shape and expand the pipelines that power our products and research efforts. You’ll work across teams to design, maintain, and improve high-performance data pipelines, ensuring that data is accessible, reliable, and scalable to meet the needs of our users and internal stakeholders. - Maintain, extend, and improve existing data/ML workflows, and implement new ones to handle high-velocity data. - Provide interfaces and systems that enable ML engineers and researchers to build datasets on demand. - Influence data storage and processing strategies. - Collaborate with the ML team, as well as frontend and backend teams, to build out our data platform. - Reduce time-to-deployment for dashboards and ML models. - Establish best practices and develop pipelines and software that enable ML engineers and researchers to efficiently build and use datasets. - Work with large datasets under performance constraints comparable to those at the largest companies. - Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users. Qualifications - Minimum of 3 years of experience in a data role involving designing and building data stores, feature engineering, and building reliable data pipelines that handle high loads. - At least 2 years of professional software development experience in a role other than data engineering. - Proficiency in Python and experience working with Kafka infrastructure and distributed data systems. - Deep understanding of SQL and NoSQL databases (preferably Clickhouse). - Familiarity with public cloud providers (AWS or Azure). - Experience with CI/CD and orchestration platforms: Kubernetes, containerization, and microservice design. - Proven ability to make independent decisions regarding data processing strategy and architecture. - Thoughtful, self-directed individual who is able to operate effectively in a fast-paced environment. Requirements - Experience collaborating across ML, backend, and frontend teams. - Understanding of machine learning fundamentals, including model training, inference, and frameworks such as PyTorch or TensorFlow. Benefits - Fully remote position with flexible working hours. - An inspiring team of colleagues spread all over the world. - Pleasant, modern development and deployment workflows: ship early, ship often. - High impact: lots of users, happy customers, high growth, and cutting-edge R&D. - Flat organization, direct interaction with customer teams. - We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members.