Senior GTM Engineer

Company Description:

InEight is a leader in construction project controls software, empowering over 850 companies taking on challenging projects in industries including construction and engineering; transportation infrastructure; mining; water; power and renewables; and oil, gas and chemical. Uniquely suited to capital construction and other complex work, our integrated modular software manages projects with over $1 trillion globally.

Based in Scottsdale, Arizona, InEight supports a remote work model with employees working throughout the United States, Canada, Australia, Sri Lanka and Europe. InEight, an ISO 9001:2015-registered company, is a subsidiary of Kiewit Corporation (Kiewit). Kiewit, through its subsidiaries, is one of North America's largest and most respected construction and engineering organizations.

InEight is a fast-paced, innovative company comprised of high-energy teams of self-starters playing integral roles in shaping the future of capital projects around the world. Our industry-leading solutions, dedicated employees, and proven leadership team provide a solid foundation to support our continued growth and success.

We offer our fulltime employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

About the Role:

InEight is building a GTM engineering function to own the systems, tooling, and automation that drive our growth. As our Senior GTM Engineer, you'll build the AI agents, automations, and integrations that speed up prospecting, sharpen targeting, and surface the signals Sales teams need to close. Reporting to the Demand Generation team, you'll work across Sales, Marketing, and Revenue Operations to build CRM infrastructure, orchestrate inbound flows, and execute outbound plays.

This is a senior, hands-on individual contributor role. You'll identify operational friction, turn prioritized business requirements into production-grade workflows, and own the applied engineering layer from prototype through deployment and iteration. As InEight grows and invests in AI across the construction industry, you'll be on the ground floor, building the systems that help us scale.

We're looking for someone who is relentlessly curious and committed to continuous learning. Bring your ideas and get the creative freedom to build them, without the red tape. People who thrive here seek out new solutions, experiment thoughtfully, and apply what they learn to deliver better results, faster.

You’ll work fully remotely with a supportive and ambitious Demand Generation and Sales Operations team. These teams will partner with you to give you the business context, access, and backing you need to see your projects through.

What You'll Do:

• Maintain and enhance the systems behind speed-to-lead, refining the automations that route, score, and respond to inbound leads in minutes, not days.

• Grow and maintain the agents that help sales research accounts, build lists, and draft personalized outreach at scale, and bring fresh ideas to extend what's already in place.

• Partner with marketing and sales operations to implement the technology behind sales sequencing, building workflows that use engagement data to tune send times, cadence steps, and messaging.

• Evolve our account intelligence models and bring scoring and tiering work into production. Combine firmographic, intent, engagement, and CRM data to prioritize target accounts and surface insights for Sales and Marketing.

• Support and connect the GTM tech stack, including Salesforce CRM, Salesforce Sales Engagement and Agents, Apollo, Momentum, LinkedIn Sales Navigator, Clay, and Qualified. Continue evolving the stack as we scale.

• Keep GTM data accurate and trusted, so lead and account data, status, and attribution stay consistent as they move between tools and into Salesforce.

• Build evaluations to measure outreach personalization, call-summary accuracy, and signal precision. Establish human review, logging, and rollback processes for rep- and customer-facing systems.

• Turn high-level GTM goals into reliable, scalable workflows, balancing speed with quality at every step.

• Help Sales Operations, Demand Generation, and Sales teams adopt AI in their daily work. Document what you build in clear playbooks and reusable templates so others can build on it.

• Deliver measurable first-year results by automating high-friction workflows, increasing team self-sufficiency, building a library of reusable templates, and establishing evaluation and rollback processes for deployed systems.

What We're Looking For:

• 5+ years of progressive experience in GTM engineering, business systems, solutions engineering, growth engineering, revenue operations systems, or a comparable technical role. We value depth of relevant work over a specific title.

• 1+ years of hands-on experience building and operating production LLM-powered agents, copilots, or automations, including testing, evaluation, monitoring, failure recovery, access controls, and change management. Demonstrated impact on pipeline or cycle time.

• Fluency with the modern GTM stack and how data moves through it, including integrations and pipelines between tools. Relevant platforms include Salesforce CRM, Salesforce Sales Engagement and Agents, Apollo, Momentum, LinkedIn Sales Navigator, Clay, Qualified, and AI assistants such as Claude. Experience with every tool isn't required.

• Hands-on Clay expertise, including building and maintaining complex tables, waterfall enrichment, AI-driven research columns, intent and signal tracking, and integrations that push clean data into Salesforce and other tools.

• Strong hands-on experience with APIs, webhooks, JSON, authentication, data mapping, and integration troubleshooting. Practical experience with orchestration platforms (such as n8n or Make), agent frameworks, MCP integrations, and prompt architecture.

• A builder's instinct paired with GTM judgment. You understand enterprise sales cycles, marketing funnels, pipeline coverage, and deal stages, and you prioritize work by revenue impact.

• A track record of owning ambiguous technical problems, making sound implementation decisions, and delivering solutions others can maintain.

• Clear communication and documentation skills, including the ability to explain technical tradeoffs to business and engineering partners. You're comfortable helping non-technical teammates adopt AI and navigating resistance without relying on positional authority.

Preferred Qualifications:

• Understanding of production programming languages, such as Python, TypeScript, JavaScript, or Apex, plus working knowledge of SQL. You can inspect, modify, test, and debug AI-generated code rather than treating it as a black box.

• Salesforce experience, including data modeling, Flow, permissions, APIs, automation, and production support.

• A B2B or enterprise SaaS background, with familiarity with the brand-safety and compliance constraints that apply to automated outputs.

InEight Inc. is an Equal Opportunity Employer, (EOE) and will consider all applications without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law.

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