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GTM Engineer: Customer Experience & Lifecycle

Job in Redwood City, San Mateo County, California, 94061, USA
Listing for: Equinix
Full Time position
Listed on 2026-08-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 136000 USD Yearly USD 136000.00 YEAR
Job Description & How to Apply Below

Job Title

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

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, Salesforce Service Cloud, or similar tooling

Business and Domain Acumen

  • Deep understanding of post-sale motions across Customer Success, support, delivery, and renewals, you know what a CSM does, how health scores are built, what drives churn, and what a customer supporter and delivery manager worries about
  • Familiarity with project and program delivery operations in an enterprise services context
  • Understanding of customer support operations, case routing logic, and deflection mechanics
  • Commercial bias: you evaluate every workflow against the retention and delivery 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

Preferred Experience

  • 10 or more years in a combination of GTM engineering, customer success operations, customer success, service operations, or a technical role embedded within a post-sale organization
  • Prior experience building agentic or LLM-powered workflows in a B2B enterprise environment
  • Experience working within or alongside a post-sale or CRO organization with direct accountability to retention or delivery outcomes
  • Hands-on experience with modern GTM automation and enrichment platforms such as Clay, n8n, Glean, Agentforce, or similar agentic workflow tools is a strong plus

The targeted pay range for this position in the following location is/locations are:

United States
- Dallas Infomart Office DAI: 136, USD / Annual

United States
- Denver Office DEO: 136, USD / Annual

United States
- Redwood City Office GHQ: 163, USD / Annual

United States
- Tampa Office TAO: 136, USD / Annual

United States
- New York City Office NYO1: 150, USD / Annual

Canada
- Toronto Office TRO: 131, CAD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position…

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