GTM Engineer: Revenue Acceleration

About the role

We are looking for a builder to elevate how Equinix identifies, engages, and converts new opportunities, designing the automations and AI-powered systems that fuel top-of-funnel pipeline generation across both demand generation and sales development motions.

Responsibilities

• Build deal signal detection and next-best-action systems that surface the right insight for AEs at the right moment in the deal cycle, from early qualification through close
• Create meeting preparation, automated follow-up, and deal approval workflows that eliminate the administrative work between customer conversations so sellers spend more time selling
• Pipeline, co-sell coordination, and value case automation that removes friction from how Equinix engages, positions, and wins across its partner and commercial selling motions
• Serve as the builder for ideas that originate in the field -- when sellers, marketers, or customer success managers identify an opportunity but lack the technical depth to execute on it, you turn their insight into a production-ready solution on their behalf
• Act as a trusted advisor to individuals across the GTM organization who are already building their own agents and automations, helping them mature those citizen-built solutions into scalable, governed, production-ready capabilities
• Partner with the engineering and IT organization on more technically complex builds, bringing the GTM context and business requirements while leveraging their infrastructure and architectural expertise to deliver at scale
• Run data-driven experiments on GTM workflows and automations, measure impact against pipeline and conversion metrics, and scale what works into durable infrastructure
• Ensure every solution deployed is built to last, with appropriate guardrails around cost, performance, and operational sustainability so what gets built continues to deliver value without runaway overhead

Qualifications

• Hands-on experience building and deploying AI-powered workflows and agentic systems in a production environment, with a track record of writing business logic, designing solution architecture, and shipping reliably at pace
• Strong technical foundation with the ability to build, troubleshoot, and iterate on complex workflows
• Proficiency and experience integrating across GTM systems, CRM, sales engagement platforms, marketing automation, data enrichment, and intent tooling
• Familiarity with LLMs, prompt engineering, and agent design applied to real revenue workflow problems
• Familiarity with data warehouses, BI tools, or event-driven systems
• Familiarity with enterprise sales and partner platforms such as Salesforce, CPQ tools, partner relationship management platforms, Gong or equivalent conversation intelligence, and value engineering tooling
• Deep understanding of enterprise B2B sales motions, you know how deals move through a complex sales cycle, what an AE spends time on, and where deals stall
• Understanding of value engineering and business case development in an enterprise sales context
• Commercial bias: you evaluate every workflow against the revenue outcome it was designed to drive, not just whether it runs cleanly
• Curiosity and an experimental mindset, you approach GTM problems like a detective, test hypotheses, and iterate based on what the data shows
• Ability to communicate concisely and confidently about technical topics with non-technical stakeholders, and translate business requirements into technical designs