K1X
GTM Operations Engineer
United States
Sponsorship not specifiedDetected 14 days ago
SnowflakeDatabricksRESTData EngineeringNLPAgentic AIAI OrchestrationHubSpotSalesforceCRMForecastingProcess ImprovementCustomer SuccessLeadershipCommunication
About the role
- This is a builder's role with a commercial mandate.
- It sits at the intersection of AI engineering, business operations, and customer value.
- Your center of gravity is the post-sale lifecycle: the adoption, engagement, and value realization motions that turn a new customer into a growing one, with some of the automation reaching up-funnel into marketing operations where the systems connect.
Responsibilities
- Build intelligent orchestration that connects sales, marketing, partnerships, and customer success into one set of automated workflows rather than disconnected point solutions.
- Design and enhance the tools that turn adoption, value, and ROI data into client-facing storytelling for business strategy reviews and customer meetings, delivered through platforms like EverAfter.
- Build the operational infrastructure for partner activation, including onboarding workflows, milestone tracking, attribution, and performance dashboards.
- Stand up marketing attribution and funnel reporting so the team can see which programs create pipeline, not just activity.
- System Integration and Data Architecture Build and maintain integrations across HubSpot, Gong, Pendo, EverAfter, Snowflake, and the rest of the GTM stack so data flows cleanly between systems.
- Design APIs and data pipelines that let AI agents read from and write to multiple business systems reliably.
- Strategic Execution and Process Optimization Proactively hunt automation opportunities across the customer and partner lifecycle, mapping multi-team workflows to find and reduce manual touchpoints, then building what replaces them.
- You own the technical architecture for the automated workflows, agent orchestration, and cross-functional process automation that let K1x's commercial teams run at scale.
- This is ideal for someone technically sophisticated and process-oriented who would rather remove a manual process than document it.
- Partner with Revenue Operations to extend their pipeline, forecasting, and reporting into the lifecycle, partner, and marketing motions, so the commercial engine runs as one connected system rather than separate stacks.
Requirements
- 4 to 6 years in technical operations, automation engineering, revenue operations, or software development with a focus on business process.
- Hands-on experience with AI and workflow orchestration tools (n8n, Zapier, Make, or custom builds) and with language model APIs (Claude, OpenAI, or similar) in business applications.
- Proficiency with CRM systems (HubSpot, Salesforce) and the ability to build custom integrations and automated workflows on top of them.
- Comfort with data platforms (Snowflake, Databricks) and API integration patterns across complex business systems.
- Strong analytical skills and the ability to break a messy cross-functional process down into components you can automate.
Benefits
- Deploy autonomous agents for sales intelligence, customer health scoring, partner activation, and renewal and expansion.
- Translate customer behavior and health signals into automated nudges, escalations, and plays the commercial teams can act on.
- Stand up automated reporting and alerting that gives leadership real-time visibility into revenue, customer health, and partner performance.
Company info
- AI Workflow Architecture and Agent Development Design, build, and maintain AI agent workflows using Claude API, n8n orchestration, and Lovable to automate complex go-to-market processes as part of the broader orchestration architecture.
This listing is sourced directly from K1X's careers page and normalized into a canonical job model.