GTM Engineer, Equinix

• 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
• Strong proficiency and experience integrating across GTM systems, CRM, sales engagement platforms, marketing automation, data enrichment, and intent tooling
• Experience 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
• Familiarity with partner ecosystem operations, co-sell mechanics, and partner attribution models
• 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

Desirable

• 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
• Strong candidates will have a deep understanding of how modern marketing and SDR organizations operate and will bring the technical depth to turn those insights into production-ready agentic workflows
• You will operate with high agency, embedded day-to-day with the Sales Development, Sales and Marketing teams you support, grounding every build in what your stakeholders need to be successful
• You serve as the bridge between their domain expertise and the GTM AI program, they bring the business context, you bring the build
• 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
• Develop meeting preparation, automated follow-up, and deal approval workflows that eliminate the administrative work between customer conversations so sellers spend more time selling
• Create partner 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
• Work closely with business context experts to deeply understand the process, the friction, and the intended outcome before building, ensuring every solution is grounded in how the business actually operates, not just how it looks on paper
• 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