GTM Engineer
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Vultr is seeking a GTM Engineer to sit at the intersection of Demand Generation and Revenue Operations — building, executing, and optimizing the systems that power our go-to-market motion. The ideal candidate is a builder with deep hands-on experience across Clay, Salesforce, and outbound automation platforms who brings strong B2B sales copywriting instincts alongside their technical skills. This is a highly visible role where your work will directly shape pipeline generation, account prioritization, and the scalability of Vultr's GTM engine across our cloud compute and AI infrastructure selling motions. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of Cloud Infrastructure.
Key Responsibilities
Own campaign execution end-to-end: Lead multi-channel GTM campaigns — including product launches, outbound plays, and ABM programs — across Salesforce, Lemlist, Salesloft, Email, LinkedIn Ads, Clay, and paid media platforms.
Build and maintain audience architecture: Manage segmentation, targeting, and campaign design using Clay, ZoomInfo, CRM queries, and web scraping to create accurate and scalable targeting segments for both GPU and CPU motions.
Engineer automated GTM workflows: Build and deploy automated workflows using Clay, Make.com, and n8n to streamline audience building, enrichment, lead routing, and scoring — integrating APIs across Salesforce, LinkedIn, ZoomInfo, and other GTM tools.
Write the copy that powers AI-generated outbound: Craft the base-layer sales emails, launch messaging, and outbound frameworks that AI personalization is built on — including positioning, hooks, and CTAs across segmentation variants and multi-touch sequences.
Maintain data quality and lead flow: Monitor and troubleshoot lead routing, enrichment syncs, and campaign data flow across Salesforce, Marketo, and enrichment systems. Own data hygiene, field accuracy, and proper attribution across every lead, contact, and account.
Activate signal-driven targeting: Leverage intent and signal data from 6sense, ZoomInfo, and HG Insights within Clay to identify and prioritize high-potential accounts. Continuously refine ICP definitions and lead scoring models using real-time engagement data.
Own attribution and pipeline reporting: Build and maintain standardized dashboards and reports segmented by campaign, channel, and opportunity. Connect campaign activity to leads, opportunities, and revenue with clear, consistent reporting.
Align with sales on outbound execution: Partner with SDR and Sales Ops teams to deliver campaigns through Salesloft and ensure adoption, consistency, and alignment across the outbound workflow.
Evaluate and implement emerging GTM tools: Research and assess new GTM and AI automation tools to improve outbound efficiency, personalization, and data accuracy — deploy AI-driven workflows that surface priority accounts and automate rep alerts.
Document and scale everything you build: Develop and maintain playbooks, runbooks, and process maps to ensure workflows are repeatable, scalable, and transferable across the team.
Qualifications
4–7 years in B2B Marketing Ops, RevOps, or Growth roles bridging systems, automation, and campaign execution.
Proven success executing and optimizing demand generation and ABM programs across channels.
Core platform experience: Salesforce, Clay, Make.com, n8n; outbound platforms including Instantly, Smartlead, Lemlist, Salesloft, Outreach; paid channels including LinkedIn Ads and Meta Ads.
Data flow & attribution: Strong understanding of routing logic and attribution modeling in CRM-centric environments.
B2B sales copywriting: Ability to write clear, compelling outbound email frameworks — hooks, positioning, CTAs, launch messaging — that serve as the foundation for AI-assisted personalization. Understands how tone, structure, and specificity affect deliverability and reply rates at volume.
Builder mentality: Bias for action, curiosity for new tools, and a love for clean, scalable systems.
AI & GTM experimentation: A passion for automation and experimentation — leveraging AI and data to make campaigns smarter, faster, and more impactful
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