CAST AI Logo

CAST AI

Go-To-Market Systems Engineer

Posted Yesterday
In-Office or Remote
Hiring Remotely in New York, NY, USA
Senior level
In-Office or Remote
Hiring Remotely in New York, NY, USA
Senior level
Own and optimize GTM tech stack (Salesforce, engagement and intent tools). Build and maintain integrations and automations, enforce CRM data hygiene, support sales/marketing/customer success, manage access and documentation, and lead vendor evaluations and rollouts.
The summary above was generated by AI
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

Similar Jobs

6 Days Ago
Remote
Senior level
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The Pre-Sales Solutions Engineer leads technical discovery, designs and executes POCs, advises on architectural needs, triages issues, and collaborates with teams to ensure customer success and continuous engagement throughout the project lifecycle.
Top Skills: DockerHTTPJavaScriptKubernetesPythonSipTypescriptWebrtc
6 Days Ago
Remote
Senior level
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The Solutions Architect will lead enterprise deployments, ensure technical success for customers, and contribute to product improvements. Responsibilities include architecture design, post-sales support, technical problem-solving, and customer engagement.
Top Skills: DockerJavaScriptKubernetesPythonRust
15 Hours Ago
Remote
Georgia, USA
Senior level
Senior level
Other
Own and improve the quality of AI-powered customer experiences by building evaluation frameworks, running experiments on prompts and model settings, reducing AI costs, diagnosing failure modes, and translating findings into prioritized fixes that drive activation, conversion, retention, and satisfaction.
Top Skills: A/B Testing FrameworksAi Observability ToolsAnthropicAws BedrockEmbeddingsGeminiLlmsOpenaiRagSemantic SearchTool-Calling

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account