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GTM Engineer
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Posted on: Nov 04, 2026
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Pittsburgh, Pennsylvania
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Onsite
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Full-time
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Job Title :
GTM Engineer
Job Type :
Full-Time
Job Location :
Pittsburgh Pennsylvania United States
Remote :
No
Job Description :
Who we are:At Opkey, we empower enterprises to unlock the full potential of their ERP investments with cutting-edge, agentic AI-powered automation. Our intelligent platform delivers continuous assurance across the entire ERP lifecycle; from initial deployment to day-to-day operations and long-term digital transformation.By eliminating manual errors, accelerating testing cycles, and ensuring seamless adoption of critical updates, Opkey helps organizations modernize with confidence and agility. Trusted by 250+ global enterprises, we reduce risk, drive efficiency, cut costs, and fast-track innovation; so businesses can focus on what they do best: growing and evolving in a dynamic digital world.About the RoleWe're looking for a highly technical, business-minded GTM Systems & AI Engineer to join our Revenue Operations team. This role will be responsible for designing, building, and optimizing the technology and AI ecosystem that powers our Sales, SDR, Customer Success, and Revenue teams.This isn't a traditional CRM Administrator role.You'll serve as the engineering force behind our GTM technology stack, leveraging automation, APIs, AI, and modern system architecture to eliminate manual work, improve seller productivity, and accelerate revenue growth.You'll work closely with Revenue Operations, Sales Leadership, Marketing, Customer Success, Product, and IT to continuously improve how our go-to-market organization operates.What You'll Own:Revenue SystemsOwn and optimize our GTM technology stack, including:HubSpotDealHub CPQGongZoomInfoLinkedIn Sales NavigatorClaude EnterpriseDesign scalable workflows supporting Sales, SDRs, Marketing, and Customer Success.Build integrations between internal and third-party systems.Manage APIs, webhooks, middleware, and automation platforms.Continuously improve CRM architecture, data quality, and system performance.AI & AutomationLead our AI strategy across the GTM organization by identifying and implementing opportunities to automate repetitive work and improve decision-making.Examples include:AI-generated meeting preparationAutomated CRM updates from Gong conversationsAI-generated follow-up emailsProspect research agentsQuote and proposal assistantsPipeline health monitoringForecast intelligenceCustomer renewal insightsSales coaching assistantsDevelop and maintain reusable AI workflows that improve productivity while ensuring data accuracy, governance, and security.Workflow AutomationDesign end-to-end workflows that reduce administrative work for our sellers.Examples include:Lead routingTerritory assignmentOpportunity managementQuote approvalsDeal routingRenewal workflowsSlack notificationsTask automationCustomer lifecycle automationData Quality & GovernanceImprove CRM data integrity.Monitor duplicate management and enrichment.Automate data hygiene processes.Improve reporting reliability.Build scalable governance around GTM systems.Sales ProductivityPartner directly with Sales Leadership to identify friction points and eliminate manual work.Success is measured by time saved for sellers—not simply workflows created.What Success Looks LikeWithin your first year, you'll help us:Reduce manual CRM updates by over 80%Significantly reduce time spent preparing for customer meetingsAutomate repetitive seller workflowsImprove quote generation speedIncrease CRM data qualityImprove pipeline visibilityBuild AI-powered experiences that become part of every seller's daily workflowQualificationsRequired2-4 years working in Revenue Operations, Sales Operations, GTM Systems, Solutions Engineering, or Software EngineeringDeep experience administering HubSpot or SalesforceExperience integrating multiple SaaS applications using APIsStrong understanding of REST APIs, webhooks, and system integrationsExperience with Python, JavaScript, or TypeScriptSQL proficiencyExperience building workflow automationStrong understanding of B2B SaaS sales processesExcellent communication and stakeholder management skillsPreferredExperience with:HubSpotDealHub CPQGongZoomInfoLinkedIn Sales NavigatorClaude EnterpriseOpenAI or Anthropic APIsWorkaton8nZapierMakeAWS, Azure, or Google CloudGitHubAI agents and LLM orchestrationRetrieval-Augmented Generation (RAG)Model Context Protocol (MCP)The Ideal CandidateThe ideal candidate is equal parts engineer, architect, and business problem solver.They don't simply automate existing processes—they redesign them.They understand both the technical architecture behind modern SaaS platforms and the operational realities of enterprise sales teams.They are passionate about AI and constantly explore new ways to improve productivity through intelligent automation.Key Performance IndicatorsSeller hours saved per monthAI adoption across the GTM organizationWorkflow automation utilizationCRM data qualityQuote turnaround timeLead routing speedSales cycle efficiencyPipeline hygieneForecast accuracy improvementsUser satisfaction with GTM systemsWhy This Role MattersOur vision is to build an AI-enabled revenue organization where technology removes friction from the sales process rather than creating it.This role will be instrumental in helping us leverage AI, automation, and modern GTM systems to create a best-in-class buying and selling experience while allowing our revenue teams to spend more time with customers and less time on administrative work.Equal Opportunity at OpkeyAt Opkey, we’re building a team as diverse and dynamic as the customers we serve. We’re proud to be an equal opportunity employer, and we welcome candidates of all backgrounds, experiences, and perspectives. We do not discriminate based on race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other legally protected status.What matters here is your mindset, your skills, and your drive to make an impact. If you’re passionate, curious, and ready to roll up your sleeves, we want to hear from you.
Position Details
Posted:
Nov 04, 2026
Reference Number:
10440_4446114295
Employment:
Full-time
City:
Pittsburgh
Job Origin:
APPCAST_CPC
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