Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. The GTM Systems Engineer role involves owning the technology stack powering sales, marketing, and customer success teams, focusing on automation and integration to enhance revenue systems.
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
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
- 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