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GTM Engineer: Customer Experience & Lifecycle

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Equinix
Full Time position
Listed on 2026-07-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 136000 - 204000 USD Yearly USD 136000.00 204000.00 YEAR
Job Description & How to Apply Below

Who are we?

Equinix is the world's digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You'll work across teams, influence key decisions, and help shape the path forward. You'll find belonging, purpose, and a team that welcomes you because when you feel valued, you're empowered to do your best work.

Job Summary

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.

Responsibilities What You Will Do
  • Automate the research, preparation, and follow‑up that surrounds customer conversations so CSMs spend their time on the relationship, not the administrative work around it.
  • Develop onboarding and adoption automation that accelerates time‑to‑value for new customers and reduces manual coordination across Customer Success and delivery teams.
  • Create intelligent support routing, case deflection, and delivery workflow automation that frees teams from administrative overhead and surfaces escalation risks before they become problems.
  • 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 customer experience and post‑sale workflows and automation, measure impact against retention, customer satisfaction, and delivery 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 What You Will Bring Technical Skills
  • 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 Customer Success and service systems, CSP platforms, support tooling, project management systems, and CRM.
  • Experience with LLMs, prompt engineering, and agent design applied to real post‑sale workflow problems.
  • Familiarity with data warehouses, BI tools, or event‑driven systems.
  • Hands‑on experience with Customer Success and service platforms such as Gainsight,…
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