GTM Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the analytical framework for the lead-to-opportunity funnel, which encompasses the data model, metric definitions, source-of-truth logic, transformations, and dashboard architecture.

• Develop dependable reporting for volume, conversion, velocity, acceptance, aging, leakage, pipeline value, and target-account penetration across sources, campaigns, segments, personas, account tiers, channels, and owners.

• Assess the effectiveness of lead scoring, routing performance, outreach productivity, and handoff quality through cohort, trend, and root-cause analysis; convert insights into prioritized actions.

• Establish data-quality monitoring, reconciliation, and reporting quality assurance, enabling leaders to trust funnel insights and comprehend metric lineage.

• Formulate recurring early-pipeline forecasts and decision-ready performance narratives that highlight risks, opportunities, and suggested interventions.

• Design, construct, and manage production-ready AI workflows for account and contact research, enrichment, prioritization, personalization, qualification, routing quality assurance, SDR preparation, next-best actions, and performance analysis.

• Integrate AI capabilities with GTM systems and structured data using low-code tools, integrations, APIs, and agent-based platforms.

• Define prompts, structured outputs, evaluation criteria, exception handling, human-in-the-loop controls, and monitoring mechanisms.

• Implement governance measures for data security, permissions, transparency, and responsible usage while enhancing workflow performance.

• Identify automation prospects, quantify anticipated benefits, and assess improvements in conversion, speed, quality, and team capacity.

• Manage lead capture, enrichment, deduplication, scoring, grading, prioritization, routing, acceptance, recycling, and disqualification processes.

• Transform GTM policies into scalable Salesforce fields, validation rules, ownership logic, queues, automations, and service-level agreements.

• Enhance scoring and routing effectiveness by utilizing conversion outcomes, fit and intent signals, representative capacity, and territory guidelines.

• Establish qualification and handoff standards across Marketing, SDRs, and Account Executives.

• Operationalize ICP, segmentation, territory, and target-account strategies into quantifiable account and contact universes, coverage plans, and activation workflows.

• Administer and optimize tools such as Salesforce, Salesloft, Lusha, Clay, Nooks, Qualified, and LinkedIn Sales Navigator.

• Collaborate with SDR leadership to set capacity, activity, quality, and pipeline objectives while offering analytical coaching insights.

• Ensure that automated, inbound, and outbound interactions enter the funnel with precise ownership, context, qualification, and attribution.

• Act as an operational and analytical partner to Marketing, Sales Development, Sales, and GTM Systems.

• Lead the gathering of requirements, process design, solution configuration, testing, release management, documentation, enablement, and adoption measurement.

• Propel alignment on lifecycle definitions, service levels, data standards, and prioritization.

⛳️ Requirements

• A minimum of 4 years of experience in GTM Operations, Revenue Operations, Sales Operations, Marketing Operations, GTM Engineering, Revenue Systems, or a comparable technical GTM role within a B2B technology or SaaS environment.

• Advanced analytical skills, including experience in designing data models, metric definitions, dashboard architecture, and scalable reporting infrastructure for operational and executive decision-making.

• Strong proficiency in Salesforce, covering data modeling, process design, automation, reports, dashboards, permissions, and data-quality governance.

• Proven track record in building and operationalizing AI-enabled workflows using low-code tools, integrations, APIs, or agent-based platforms.

• Familiarity with AI workflow design, including prompt design, structured outputs, testing and evaluation, monitoring, exception handling, and human oversight.

• Practical experience in administering or optimizing a sales engagement platform such as Salesloft or Outreach.

• Experience in designing lead lifecycle, scoring, routing, qualification, SDR, and early-stage pipeline processes.

• Ability to merge quantitative analysis with commercial judgment, communicate clear recommendations, and influence cross-functional leaders.

• Strong skills in requirements gathering, process mapping, solution design, testing, documentation, and change management.

• Preferred: Experience with tools such as Lusha, Clay, Nooks, Qualified, and LinkedIn Sales Navigator.

• Preferred: Experience with SQL, BI tools, data transformation, reverse ETL, or warehouse-based reporting.

• Preferred: Experience in building GTM applications, internal tools, or agents in a GTM Engineer capacity.

• Preferred: Experience supporting enterprise account-based or target-account motions, particularly in identity verification, fraud, cybersecurity, or financial services technology.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and remote work options.

• Professional development opportunities and training programs.

• A dynamic and inclusive work environment.