About Us At Verisian, we build deep tech and AI solutions that enable groundbreaking medical therapies to enter the market faster and safely. New medicines and devices are judged using all available evidence in the proper context and backed by automated analyses that validate and make data and results transparent to companies and regulators alike. Regulators will make the right decisions on novel therapies faster and with greater confidence, protecting patients from harm and making breakthrough treatments available as soon as is possible and safe. In times of increasing trial numbers and complexity, we are building technical innovation to remove crucial bottlenecks for pharmaceutical and medical device companies, as well as public health authorities, directly affecting clinical trial planning, analyses, validation, submission, and market approval. By joining us, you will commit yourself to building software and AI tools that directly contribute to increasing the rate at which medical innovation improves human health and wellbeing. Disclaimer: We welcome candidates of diverse experience levels, and meeting every requirement is not mandatory. Research indicates that underrepresented groups tend to apply only if they meet all qualifications. If you're enthusiastic about the role, please apply and let our recruiters evaluate your application. Culture At Verisian, our mission is to build the future infrastructure of medical innovation. To help us succeed, we're creating a unique employee culture. We always put the mission first. We're fanatically customer obsessed, crafting world-class products that customers love with every interaction. We take extreme ownership and accountability of our work, seeing whatever we do through to completion. We communicate candidly and directly with each other, even when it's uncomfortable. We're innately curious, open to alternative perspectives and invest passionately in our own continuous growth. We determine the grade level and salary ranges based on interviews, assessment of education, experience, skills, and alignment with market data, ensuring fairness among team members independent of location. ​ Role Description As a Senior Full Stack Software Engineer, you will join our world-class engineering team in building the Verisian Platform. You will work on an application that exposes our clinical trial insights to data managers, statistical programmers, statisticians, medical experts/writers, and regulatory authorities.  The Verisian Platform brings value to a set of highly regulated processes crucial for medical progress and innovation. You will be working on the Planner, Builder, Explorer, Validator, Submitter, and related supporting modules. These core modules of the platform target the planning, exploration/onboarding, building, validation, submission, and review of clinical trials and their results. They enable data managers, statistical programmers, statisticians, medical writers, and regulators to deliver their work faster, at higher quality, lower cost, and in greater confidence. Our data pipelines analyze clinical trial documentation, code, logs, data, and results to build a knowledge graph through code traceability. We harness the resulting dataset, column-level data and logic lineage to turn clinical trials into Information Infrastructure that can be used by experts and consumed by AI to revolutionize how therapies are evaluated and enter the market. We capture complex processes in fully- and semi-automated workflows that place experts in control and AI automation at their fingertips. We build visualizations to provide our customers with a maximum of insight as fast as possible. As part of our core team, you will join us in building and testing new functionality, troubleshooting customer issues, finding root causes, and deploying required fixes to ensure maximal user impact and performance. Beyond feature development and bug hunting, you will also be responsible for contributing to automated testing and participation in building, deployment, security and compliance. Our application stack is based on Next.js and deployed via Docker/Kubernetes in the cloud. The data analysis pipelines run in Argo Workflows. We analyze code based on Antlr4 and Java. AI agents are developed in Python. Git is where our code lives, and Github Actions is how it gets out into the world.

About Us At Verisian, we build deep tech and AI solutions that enable groundbreaking medical therapies to enter the market faster and safely. New medicines and devices are judged using all available evidence in the proper context and backed by automated analyses that validate and make data and results transparent to companies and regulators alike. Regulators will make the right decisions on novel therapies faster and with greater confidence, protecting patients from harm and making breakthrough treatments available as soon as is possible and safe. In times of increasing trial numbers and complexity, we are building technical innovation to remove crucial bottlenecks for pharmaceutical and medical device companies, as well as public health authorities, directly affecting clinical trial planning, analyses, validation, submission, and market approval. By joining us, you will commit yourself to building software and AI tools that directly contribute to increasing the rate at which medical innovation improves human health and wellbeing. Disclaimer: We welcome candidates of diverse experience levels, and meeting every requirement is not mandatory. Research indicates that underrepresented groups tend to apply only if they meet all qualifications. If you're enthusiastic about the role, please apply and let our recruiters evaluate your application. Culture At Verisian, our mission is to build the future infrastructure of medical innovation. To help us succeed, we're creating a unique employee culture. We always put the mission first. We're fanatically customer obsessed, crafting world-class products that customers love with every interaction. We take extreme ownership and accountability of our work, seeing whatever we do through to completion. We communicate candidly and directly with each other, even when it's uncomfortable. We're innately curious, open to alternative perspectives and invest passionately in our own continuous growth. We determine the grade level and salary ranges based on interviews, assessment of education, experience, skills, and alignment with market data, ensuring fairness among team members independent of location. ​ Role Description As a Senior Full Stack Software Engineer, you will join our world-class engineering team in building the Verisian Platform. You will work on an application that exposes our clinical trial insights to data managers, statistical programmers, statisticians, medical experts/writers, and regulatory authorities.  The Verisian Platform brings value to a set of highly regulated processes crucial for medical progress and innovation. You will be working on the Planner, Builder, Explorer, Validator, Submitter, and related supporting modules. These core modules of the platform target the planning, exploration/onboarding, building, validation, submission, and review of clinical trials and their results. They enable data managers, statistical programmers, statisticians, medical writers, and regulators to deliver their work faster, at higher quality, lower cost, and in greater confidence. Our data pipelines analyze clinical trial documentation, code, logs, data, and results to build a knowledge graph through code traceability. We harness the resulting dataset, column-level data and logic lineage to turn clinical trials into Information Infrastructure that can be used by experts and consumed by AI to revolutionize how therapies are evaluated and enter the market. We capture complex processes in fully- and semi-automated workflows that place experts in control and AI automation at their fingertips. We build visualizations to provide our customers with a maximum of insight as fast as possible. As part of our core team, you will join us in building and testing new functionality, troubleshooting customer issues, finding root causes, and deploying required fixes to ensure maximal user impact and performance. Beyond feature development and bug hunting, you will also be responsible for contributing to automated testing and participation in building, deployment, security and compliance. Our application stack is based on Next.js and deployed via Docker/Kubernetes in the cloud. The data analysis pipelines run in Argo Workflows. We analyze code based on Antlr4 and Java. AI agents are developed in Python. Git is where our code lives, and Github Actions is how it gets out into the world.

Role Description Onix is seeking a passionate, engaging, and motivated individual to fill a remote position in the role of Google Workspace Deployment Engineer. This person will provide enterprise-level services in deploying and consulting on Google Workspace as well as other 3rd party vendors Onix partners with. The Onix Google Workspace Delivery Team is an industry leader in deployments, consulting, and product knowledge. The team provides decades of expertise and advises diverse clients on best practices to supplement their business transformation onto cloud services. As part of a team in this rapidly growing enterprise, you will work with cutting-edge cloud technologies and help shape the future of how clients operate and transform. Primary Responsibilities - Perform technical Google Workspace deployment services using the Onix & Google methodology. - Pass and maintain Google Certified Workspace Administrator and Chrome Management Credentials during employment to become credentialed per Google requirements for Onix as a Premium Partner. - Work with other teams within Onix to provide world-class deployment services. Teams include, but are not limited to, Change Management and Project Management. - Organize and conduct administrator training for customer engagements. - Development of new or updated deployment materials, scripts, and tools. - Take responsibility for technical aspects of solutions to include such activities as product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources. - Work hands-on with Google Workspace and other cloud partner products to demonstrate and prototype integrations in customer/partner environments. - Build good relationships and work closely with Onix Sales, Google Sales and Systems Engineers, and Onix Partners to ensure a cohesive message during deployments. - Collaborate with customers to develop proactive, strategic technical solutions as it pertains to the Google Workspace platform including, but not limited to, identifying key customer technical objections, and develop a strategy to resolve technical blockers. - Research, diagnose, troubleshoot, and identify solutions to resolve client issues. - Help create and maintain relevant Technical Support documentation. - Maintain working technical knowledge of each supported product. Qualifications - Certified: Google Professional Certified Workspace Administrator. - At least 3 years of Google Workspace Technical Deployment experience or 5 years of being an Enterprise Google Workspace Administrator. - Experience Google Workspace Migrate for an Enterprise level customer. - Experience with CloudM Migrate, BitTitan and other 3rd party tools at the Enterprise level. - Experience with Google to Google migrations and Domain Transfer Tool (DTT). - Experience with 3rd party storage solutions (Box, Dropbox, Sharepoint, etc). - Experience in developing solutions to complex scenarios, issues, and deliver successful results. - Excellent communication skills (verbal and written). - Creative problem-solving skills and a drive to solve difficult issues. - Capability to deliver on-time, well-executed work that leads to consistent client satisfaction. - Ability to expertly convey ideas and concepts to others. - Experience working remotely from a home office. - Experience with Google APIs. - Experience with a programming language (Python, Java, etc). - Experience deploying Context Aware Access (CAA). - Understanding of networking concepts and email routing. - Experience with Chrome, Android, and/or iOS devices. - Knowledge of enterprise messaging platforms (e.g. Microsoft Exchange), LDAP services (e.g. Active Directory) and/or Windows Group Policy Objects (GPOs). - Familiarity with 3rd party Mobile Device Management (MDM) and Single Sign-On (SSO) solutions. - Experience with LumApps, Happeo, AODocs a plus. - Experience creating and managing technical project plans. - Experience with security best-practices and industry standards as it pertains to Google Workspace, including but not limited to, data loss prevention and government regulated requirements (i.e. HIPAA). Education - Associate’s or Bachelor's Degree in Computer Science, Business, Information Technology, or a related discipline is preferred, but not required. Travel Expectation - 0-20% Domestic. - 0-10% International.

About the Company A fast-growing, operator-led GTM consultancy building AI-powered revenue systems for modern sales teams. The business was founded by experienced CROs who have carried quota, and specialises in engineering end-to-end revenue infrastructure that converts market signals into qualified pipeline — at speed and scale. The company is AI-native and increasingly code-first in its approach, using a sophisticated internal tech stack including custom AI agent orchestration, workflow automation, signal detection and enrichment, multi-channel outreach delivery, and operational intelligence tooling. AI systems are embedded throughout the entire execution layer. They serve growth-stage B2B companies scaling between $1M and $100M+ ARR who need systematic, automation-driven competitive advantages — built on infrastructure, not headcount. Read more Job Description Job Summary We are hiring a GTM Engineer to build, launch, and optimize high-performance outbound systems for B2B SaaS clients. This is a highly technical, automation-heavy role designed for someone who thrives in startup environments and understands outbound as a revenue engine — not just lead generation. You’ll embed directly into client revenue motions, owning campaign architecture, signal-based workflows, outbound sequencing, and automation infrastructure. If you’re an AI-obsessed builder with deep Clay expertise and agency experience, this is your opportunity to help architect scalable outbound engines. This is an ideal role for someone searching for: - Remote GTM engineer jobs - Growth engineering roles in SaaS - Advanced outbound automation careers - Remote startup sales engineering positions Key Responsibilities - Build and deploy outbound campaigns using Clay as the core orchestration engine - Design signal-based prospecting workflows (intent data, trigger events, enrichment pipelines) - Integrate and optimize outbound tool stack (e.g., SmartLead, HeyReach, n8n) - Reduce time-to-launch for new campaigns - Continuously test messaging, sequencing, and targeting hypotheses - Implement automation to improve performance and efficiency - Own CRM attribution feedback loops and iteration cycles - Collaborate with Fractional CRO leadership on revenue strategy