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GTM Engineer

Job in Chicago, Cook County, Illinois, 60607, USA
Listing for: Open Systems Technologies
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 130000 - 150000 USD Yearly USD 130000.00 150000.00 YEAR
Job Description & How to Apply Below

GTM Engineer


Location:

Remote in these states: AL, AZ, CA, CO, FL, GA, KS, KY, IA, , IL, IN, LA, MA, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, RI, SC, TN, TX, UT, VA, VT, WA, WI
Compensation: $130-150K


Responsibilities:
Own GTM Engineering initiatives from conception to delivery

  • Identify, scope, and prioritize GTM Engineering opportunities with Sales, Marketing, and Rev Ops leadership.
  • Translate business needs into clear technical requirements and delivery plans.
  • Run GTM Engineering like product releases: design, build, QA, launch, measure, iterate.
Build scalable automations and workflows across the GTM stack
  • Build and maintain Clay workflows for enrichment, routing, segmentation, scoring, and trigger-based actions.
  • Automate manual tasks that slow down revenue teams (research, list building, enrichment, lead management, CRM hygiene).
  • Implement workflow orchestration across systems (Salesforce + intent tools + conversation intelligence + engagement tools).
Create and operationalize an intent/signals engine
  • Combine multiple signal sources into composite scoring models and actionable triggers (fit + intent + engagement + timing).
  • Design automation logic that avoids "single-signal spam” and instead prioritizes high-quality, high-confidence actions.
  • Improve speed-to-lead and account prioritization through reliable signal-based orchestration.
Oversee cross-functional execution (and potentially people/vendors)
  • Coordinate stakeholders across Sales, Marketing, Rev Ops, Enablement, and Data/Engineering.
  • Manage project timelines, risks, dependencies, and stakeholder communication.
  • Potentially manage junior GTM Engineers and/or third-party partners with clear delivery standards.
Example Projects You'll Own
  • Inbound lead automation: lead capture, enrichment, routing, scoring, SLA-based follow-up triggers.
  • Intent signals engine: combining 6sense, Vector, web activity, and engagement signals into a composite "heat score” and workflow triggers.
  • Workflow-based enablement: auto-generating account context, call prep insights, and task prompts for sellers.
  • Insight automation and orchestration: use Gong insights to auto-fill Salesforce fields, orchestrate distribution of key insights via triggers/alerts, score sales process. excellence, and generate actionable insights at scale.
What Success Looks Like:
  • Meaningful reduction in manual research/admin time for BDRs/AEs through automation.
  • Improved speed-to-lead and higher conversion rates driven by better routing, scoring, and enrichment.
  • Higher-quality CRM data (completeness, accuracy) and more trustworthy reporting
  • A repeatable system for shipping GTM workflows with measurable impact and iteration cadence.
Qualifications:
Required
  • 4–8+ years of experience in GTM systems, Rev Ops/Sales Ops/Marketing Ops, growth operations, automation engineering, or similar.
  • Demonstrated ability to build automations and integrations across a GTM tech stack (CRM + enrichment + intent + engagement + analytics).
  • Solid hands-on experience with Salesforce (data model awareness, workflow automation patterns, QA, hygiene practices).
  • Experience building and operationalizing Clay workflows (or equivalent enrichment/orchestration tools).
  • Excellent technical fluency: APIs/webhooks, data flows, automation logic, troubleshooting, and systems thinking.
  • Sound project management skills: planning, prioritization, stakeholder alignment, and execution.
  • Ability to communicate technical topics clearly to non-technical audiences.
Preferred:
  • Experience with Gong, 6sense, Vector, and modern intent/data tooling ecosystems.
  • Experience building scoring models, signal engines, and lifecycle automation across lead/account objects.
  • Familiarity with data warehouse/analytics concepts and how GTM data is modeled for reporting and decision-making.
  • Prior experience managing junior team members and/or vendors/consultancies.
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