GTM Engineer: AI-Powered Lead & Pipeline Architect Remote

Tech Sales Jobs; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Tech Sales Jobs in the United States is seeking a GTM Engineer to own data, AI workflows and GTM systems, from targeting to early-stage pipeline, in a remote, full-time capacity. This role sits at the intersection of GTM Operations, analytics and engineering, building trusted reporting and governed AI-enabled workflows that improve lead quality and SDR productivity.

The successful candidate will establish reporting infrastructure, turn funnel data into decisions and collaborate with Marketing,

Qualifications

• 4+ years of GTM Ops or similar in B2B SaaS.
• Strong data modeling, metrics and scalable reporting.
• Advanced Salesforce proficiency.
• Experience building AI-enabled workflows with low-code tools.
• Knowledge of AI workflow design and monitoring.

Responsibilities

• Own analytical foundation for the lead-to-opportunity funnel, including data model, metric definitions, source-of-truth logic, transformations and dashboard architecture.
• Build reporting for volume, conversion, velocity, acceptance, aging, leakage, pipeline value and target-account penetration across source, campaign, segment, persona, account tier, channel and owner.
• Evaluate lead-scoring efficacy, routing performance, outreach productivity and handoff quality using cohort, trend and root-cause analysis; translate findings into prioritized actions.
• Create data-quality monitoring, reconciliation and reporting QA so leaders can trust funnel insights and understand metric lineage.
• Develop recurring early-pipeline outlooks and decision-ready performance narratives that clearly identify risks, opportunities and recommended interventions.
• Design, build and operate production-ready AI workflows for account and contact research, enrichment, prioritization, personalization, qualification, routing QA, SDR preparation, next-best action and performance diagnosis.
• Connect AI capabilities to GTM systems and structured data using low-code tools, integrations, APIs and agent-based platforms; design for repeatability rather than one-off experimentation.
• Define prompts, structured outputs, evaluation criteria, exception handling, human-in-the-loop controls and monitoring for accuracy, adoption and business impact.
• Apply appropriate governance for data security, permissions, transparency and responsible use while continuously testing and improving workflow performance.
• Identify high-value automation opportunities, quantify expected benefit and measure realized gains in conversion, speed, quality and team capacity.
• Lead requirements gathering, process design, solution configuration, testing, release management, documentation, enablement and adoption measurement.
• Translate GTM policy into scalable Salesforce fields, validation rules, ownership logic, queues, automations and service-level agreements.
• Continuously improve scoring and routing using observed conversion outcomes, fit and intent signals, rep capacity and territory rules.
• Define qualification and handoff standards across Marketing, SDRs and Account Executives, with clear ownership, required context and closed-loop feedback.
• Operationalize ICP, segmentation, territory and target-account strategies into measurable account and contact universes, coverage plans and activation workflows.
• Administer and optimize Salesforce, Salesloft, Lusha, Clay, Nooks, Qualified and LinkedIn Sales Navigator, including integrations, cadences, task logic, data flows and operating standards.
• Partner with SDR leadership to define capacity, activity, quality and pipeline goals and provide analytical coaching insights by rep, channel, cadence, segment and persona.
• Ensure automated, inbound and outbound interactions enter the funnel with accurate ownership, context, qualification and attribution.
• Serve as the operational and analytical partner to Marketing, Sales Development, Sales and GTM Systems for lead-to-pipeline performance.
• Lead requirements gathering, process design, solution configuration, testing, release management, documentation, enablement and adoption measurement.
• Drive alignment on lifecycle definitions, service levels, data standards and prioritization, balancing near-term commercial needs with scalable architecture.

Skills

GTM Operations

Revenue Operations

Sales Operations

Salesforce

AI workflows

Low-code tools

Tools

Salesloft

Outreach

LinkedIn Sales Navigator

Lusha

Clay

Nooks

Qualified

Job description

Tech Sales Jobs in the United States is seeking a GTM Engineer to own data, AI workflows and GTM systems, from targeting to early-stage pipeline, in a remote, full-time capacity. This role sits at the intersection of GTM Operations, analytics and engineering, building trusted reporting and governed AI-enabled workflows that improve lead quality and SDR productivity.

The successful candidate will establish reporting infrastructure, turn funnel data into decisions and collaborate with Marketing,