Go-To-Market Systems Engineer - Careers @ Cast AI Skip to content Platform Infrastructure Optimization Kubernetes Workload Optimization Standard Cluster Optimization Karpenter Cluster Optimization Database Optimization Infrastructure Observation Kubernetes Cost Monitoring GPU Optimization GPU Sharing GPU Workload Scaling Policies GPU Cost Visibility Cross-cloud GPU Access Custom GPU Edge Location Enterprise AI Coding Token Optimization Enterprise AI Inference Enterprise Agentic Coding Where do you run Kubernetes? AWS GCP Azure Oracle Cloud Application Performance Automation Official APA® Platform How it works Integrations Environments Customers Customers Cybersecurity DevOps E-Commerce Financial Services Industries Gaming & Entertainment Pharmaceutical SaaS All Case Studies Industries Automotive Software & IT AI & ML Setups Transform your cloud-native operations and maximize Kubernetes cost savings Validate Cast AI Get answers Learn about our advanced features Book a Demo Pricing Resources Get Started Documentation Supported Environments Integrations Spot Instance Availability Map Learn Blog Automation Academy Reports Webinars Join the community APA Hero Program Captain Program Slack Community KubeAuto Day Company CAST AI
About Us Newsroom Events Let’s Work Together Careers Partner Program Referral Program Media Brand Assets Contact us Book a demo Sign in Get started Back to Careers Go-To-Market Systems Engineer Atlanta, Georgia, United States; Boston, Massachusetts, United States; Charlotte, North Carolina, United States; Columbus, Georgia, United States; European Union; Miami, Florida, United States; New York, New York, United States Apply for this role Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn’t work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We’re headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we’re just getting started. Join us as we build the future of autonomous infrastructure.
About
the role The GTM Systems Engineer is a hybrid role bridging sales, marketing, and software engineering. You will own the architecture, administration, and continuous improvement of the technology stack powering our sales, marketing, and customer success teams. You will build automated, scalable revenue systems leveraging AI, data enrichment, and custom integrations to streamline lead routing, CRM enrichment, and personalized outbound campaigns, ensuring our GTM tools are integrated, reliable, and instrumented to support data-driven decisions at every stage of the funnel.
Requirements: 5+ years of experience in GTM systems administration, sales/revenue operations, or a related technical role. Deep Salesforce expertise: hands-on administration experience with objects, flows, validation rules, and reporting; Salesforce Advanced Administrator, Developer, or Platform App Builder certification required. Proven experience integrating tools such as Outreach, HubSpot, ZoomInfo, Gong, Clay, Apollo, or similar GTM platforms. Ability to write and troubleshoot code (SOQL, SQL, Python, JavaScript) to support integrations and automation; experience with API management and prompt/context engineering. Strong understanding of the B2B SaaS sales process, sales funnels, lead scoring, and how GTM teams operate across enterprise and mid-market segments. Strong communication skills, able to explain technical concepts clearly to non-technical stakeholders. Self-starter who thrives in a fast-paced, high-growth environment with ambiguous problems.
Nice to Have Experience working in a cloud-native, DevOps, or Kubernetes-adjacent business. Familiarity with iPaaS tools such as Workato, Zapier, or Tray.io for orchestrating system integrations. Exposure to data warehousing or BI tools (e.g., Snowflake, Looker, Tableau). Experience supporting global sales teams across AMER, EMEA, and APAC.
Responsibilities: Own the architecture, administration, and optimization of core GTM platforms including Salesforce CRM, sales engagement tools, marketing automation, and intent data providers. Design, build, and maintain integrations between GTM systems to ensure clean, consistent data flow across the revenue tech stack. Identify and implement automation opportunities – workflow automations, AI agents, routing logic, and territory management – to reduce manual work and increase rep productivity. Enforce data hygiene standards across the CRM and connected systems; proactively monitor system health, troubleshoot issues, and resolve them with minimal business disruption. Partner with Sales, Marketing, and Customer Success leadership to gather
requirements and translate business needs into scalable technical solutions. Lead evaluation and implementation of new GTM tools, managing the full vendor assessment and rollout lifecycle. Manage user provisioning, permission structures, and role-based access across all GTM platforms. Document system configurations, processes, and data dictionaries to preserve institutional knowledge. What’s in it for you? Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Team Interview Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote Cast AI is the leading APA® (Application Performance Automation) platform, enabling customers to cut cloud costs, improve performance, and boost productivity. Facebook GitHub Slack Community LinkedIn X Solutions Kubernetes workload optimization Standard cluster optimization Karpenter cluster optimization Database optimization Kubernetes cost monitoring Enterprise AI coding & inference GPU Sharing GPU Workload Scaling Policies GPU Cost Visibility Cross-cloud GPU Access Custom GPU Edge Location Resources Blog Events Webinars Reports Customer stories Documentation Release notes Kubernetes Glossary Pricing Company
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