KloudGin is seeking a GTM Engineer / RevOps Architect to build and own the technical backbone of our demand generation and sales development engine. This is a new role created to design, automate, and continuously improve the AI-native, signal-led account-based motion that powers our outbound growth into electric, water, gas, and public sector organizations across North America.
You will be the person who turns our tooling stack into a cohesive operating system that delivers the right account, the right signal, the right stakeholder, and the right message to our Sales Development and Account Executive teams. You will build the workflows that identify in-market accounts before they publish an RFP, surface expansion opportunities inside our existing customer base, and make every SDR and AE materially more effective per hour.
This role combines data engineering, marketing operations, and sales operations disciplines. You will not carry a quota, but your work will directly determine whether our revenue team hits theirs. The ideal candidate is a builder who enjoys designing automation as much as analyzing data, is fluent in modern GTM tooling, and is energized by a finite-TAM, high-ACV segment where precision matters more than volume.
Required Qualifications
- Bachelor’s degree in Business, Computer Science, Engineering, Business or Marketing, or a related field (or equivalent professional experience).
- 2–6 years of experience in revenue operations, marketing operations, sales operations, growth engineering, or GTM engineering ideally within enterprise B2B SaaS.
- Demonstrated hands-on experience building and operating modern GTM tooling stacks, including CRM (HubSpot or Salesforce), sales engagement platforms (SalesLoft, Outreach, Apollo), and enrichment or orchestration platforms (Clay, etc).
- Proficiency with sales intelligence and intent data tools such as ZoomInfo, LinkedIn Sales Navigator, Bombora, G2 Buyer Intent, 6sense, or Demandbase.
- Strong working knowledge of modern AI tooling, including generative AI platforms (Claude, ChatGPT, Gemini) and AI-assisted GTM tools (Octave, Regie.ai, or equivalent context engines), and practical experience designing workflows that use them responsibly.
- Excellent analytical skills with the ability to design measurement frameworks, interpret results, and make evidence-based recommendations.
- Strong written and verbal communication skills, with the ability to translate technical workflows into clear documentation and executive-level reporting.
- Self-directed, organized, and comfortable operating as a builder in a fast-paced environment with limited existing infrastructure.
Preferred Qualifications
- Prior experience building a signal-led or account-based outbound motion from the ground up, particularly in a narrow-TAM, high-ACV, enterprise sales environment.
- Experience selling to or supporting GTM efforts within the utility, energy, public sector, or infrastructure verticals.
- Familiarity with procurement intelligence platforms that offer public sector bid-tracking solutions.
- Experience designing and implementing cross-sell and upsell motions into existing customer bases, including workgroup-level account mapping and expansion signal instrumentation.
- Familiarity with Enterprise Asset Management (EAM), Field Service Management (FSM), or workforce management solution categories.
- Clay certification or demonstrated advanced proficiency with Clay, including AI snippets, custom integrations, and complex multi-table workflows.
- Background in data engineering, developer tooling, or systems integration.
Key Competencies
- Builder Mindset – Enjoys designing systems and workflows from first principles. Thinks in automations, data flows, and integration points.
- Business Acumen – Understands that tooling exists to drive pipeline and revenue, not for its own sake. Can connect a workflow decision to its downstream effect on SDR productivity, close rate, or expansion ARR.
- Analytical Rigor – Makes decisions based on evidence, not instinct. Comfortable designing experiments, measuring outcomes, and pruning what does not work.
- Pragmatic Judgment – Knows when to automate and when to leave work human. Understands that in a finite-TAM, high-ACV segment, precision matters more than scale and that poorly designed automation can destroy trust with named accounts.
- Collaboration – Works effectively across Marketing, Sales, Customer Success, and Finance to translate frontline needs into operating improvements and to drive adoption of new capabilities.
- Intellectual Curiosity – Driven to stay current on GTM tooling, AI developments, and the evolving practice of signal-led selling. Brings new ideas to the table consistently.
- Bias to Document – Writes things down. Creates runbooks, process maps, and playbooks so that the operating system does not live only in one person’s head.
