GTM Engineer: Pipeline and Revenue Generation

Equinix Equinix is the world’s digital infrastructure company® shortening the path to connectivity to enable the innovations that enrich our work, life and planet. 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 Build AI‑powered prospecting and outbound personalization systems that help SDRs engage the right accounts at the right time, without the manual research overhead. Develop intelligent inbound lead scoring, routing, and response automation that reduces friction between a prospect's first signal and their first conversation with a rep. 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. 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 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 MarTech and Sales Development platforms such as Marketo, 6sense, Outreach, Salesloft, and Clay. Business and Domain Acumen Deep understanding of outbound and inbound sales development motions; you know what an SDR and Account Executive does, what slows them down, and what a pipeline conversion metric means to a CRO. Experience working with Marketing and Sales Operations and understanding how campaign data, intent signals, and lead flow connect to pipeline outcomes. 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. Preferred Experience 10 or more years in a combination of GTM engineering, marketing operations, growth engineering, RevOps, or a technical role embedded within a sales or marketing organization, with at least 3 years in a GTM engineering or equivalent applied technical discipline. Prior experience building agentic or LLM‑powered workflows in a B2B enterprise environment. Experience working within or alongside a CRO organization with direct accountability to pipeline or conversion 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. Compensation Targeted pay ranges by location (annual): Dallas Infomart Office – $136,000 – $204,000 USD Denver Office – $136,000 – $204,000 USD Redwood City Office – $163,000 – $245,000 USD Tampa Office – $136,000 – $204,000 USD New York City Office – $150,000 – $224,000 USD Toronto Office – 131,000 – 181,000 CAD These ranges represent the minimum and maximum target for new hire pay for the full‑time position, and do not include bonus, equity, or benefits. Benefits Equinix offers comprehensive benefits that include health, life, and disability insurance, retirement contributions, paid time off, and paid holidays. Additional benefits are tailored to U.S. and Canada employees and may vary by location. Equal Employment Opportunity Equinix is an Equal Employment Opportunity and, in the U.S., an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creeds, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy or childbirth, related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political or organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. AI in Hiring We use artificial intelligence in our hiring process. #J-18808-Ljbffr