3 дня назад
GTM Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
GTM Engineer (AI) (GTM systems and applied AI): Architecting and operating CRM, data enrichment, outbound activation, call intelligence, and agent orchestration systems for a B2B SaaS GTM organization with an accent on AI-native workflows, system architecture, and data-to-action loops. Focus on building signal engines, deployment infrastructure, AI development environments, and measurable workflows that improve pipeline velocity, sales efficiency, and customer outcomes.
Location: San Francisco or New York office; onsite 4 days per week
Company
is an enterprise sustainability platform for managing climate and ESG data, producing audit-ready reporting metrics, and supporting decarbonization programs.
What you will do
- Architect, develop, operate, and improve GTM systems including Salesforce, CPQ, lead routing, call intelligence, data enrichment, outbound activation, and scaled support.
- Build applied AI agents and workflows that improve pipeline velocity, sales efficiency, and customer outcomes.
- Develop an outbound signal engine covering signal ingestion, enrichment, play orchestration, attribution, and SDR notifications.
- Establish GTM Engineering infrastructure, including deployment pipelines, branching, sandbox management, testing standards, backups, and AI development environments.
- Partner with data science, Marketing Operations, Sales Operations, Deal Operations, CS Operations, and Enablement to turn data signals into adopted workflows and training.
- Drive adoption and measurement of the AI portfolio, including user discovery, change management, impact measurement, and retirement of ineffective tools.
Requirements
- 5+ years of experience in a customer-facing or GTM-facing technical role at a high-growth B2B SaaS or AI company, such as Revenue Systems, GTM Engineering, or RevOps.
- Deep experience with coding tools such as Cursor or Claude Code and enterprise agent tooling, with AI embedded in the current workflow.
- Broad experience managing modern GTM technology, including data enrichment, lead routing, sales engagement, call intelligence, chat, CPQ, and support systems.
- Strong background in system design and architecture, including data models, integrations, automation, and declarative versus code-based solutions.
- Experience managing development environments and deployment pipelines, such as Gearset.
- Willingness to work from an office 4 days per week in San Francisco or New York.
Nice to have
- Experience with Salesforce, Gong, Clay, and/or LeanData.
Culture & Benefits
- Mission-oriented startup environment focused on sustainability and climate impact.
- Collaboration with a growing team shaping GTM Engineering practices and AI adoption.
- Inclusive recruitment process with reasonable interview accommodations available.
- Office hubs in San Francisco, New York, London, and Mexico City, with satellite offices in Denver, Sydney, Paris, and Berlin.
Hiring process
- One to two introductory conversations about , the candidate’s experience, and interests.
- A role-specific skill or experience interview, followed by a virtual or in-person interview panel.
- The process emphasizes transparency and clear expectations.
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