6 дней назад
GTM Engineer (AI)
160 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
GTM Engineer (AI) (AI/PropTech): Build and evolve the revenue systems layer for an AI-native asset management platform, including automation, data pipelines, outbound infrastructure, and production AI agents with an accent on scalable architecture and reliable integrations. Focus on designing systems for rapid company growth, monitoring agent and workflow performance, and translating revenue strategy into robust tooling with Sales, Marketing, and Customer Success.
Location: NYC, United States; work type: on-site
Base salary: $160,000–$190,000 per year plus equity
Company
is an AI-native platform transforming asset management across acquisition, management, and exit, with a focus on healthcare facilities and multifamily real estate.
What you will do
- Own the GTM automation layer, including enrichment, lead and account routing, scoring, outbound sequencing, and integrations across CRM, data warehouse, and go-to-market tools.
- Audit and re-architect existing workflows, making deliberate build, rebuild, and retirement decisions.
- Build scalable outbound infrastructure with enrichment waterfalls, signal-based triggers, AI-assisted research, and personalized messaging.
- Deploy and operate production AI agents for research, enrichment, qualification, and outreach drafting, including versioning, testing, monitoring, and failure handling.
- Set technical direction for the GTM stack, design data contracts and scalable architecture, and instrument systems with alerting, error handling, and runbooks.
- Partner with Sales, Marketing, and Customer Success leadership and evaluate build-versus-buy decisions as the stack evolves.
Requirements
- 3–7 years of experience scaling GTM systems in companies ranging from $0 to $20M ARR.
- Strong technical fundamentals with SQL, API integrations, and scripting; able to build independently without waiting on engineering.
- Hands-on experience deploying and maintaining AI agents in production, including output monitoring, model and API failure handling, cost and latency management, and safe iteration.
- Experience with modern automation and AI tooling such as Clay, n8n, Make, or similar platforms, plus direct work with LLM APIs.
- Comfort with ambiguity, architectural ownership, scalability tradeoffs, and communicating technical decisions to technical and non-technical stakeholders.
Nice to have
- Background in RevOps, marketing operations, or sales engineering at a high-growth B2B SaaS or fintech company.
- Experience with warehouse-first data architectures, Snowflake/dbt-style pipelines, and reverse ETL.
- Experience in regulated or compliance-sensitive industries such as fintech or healthtech.
- Experience as the first or founding GTM or automation hire.
Culture & Benefits
- Direct access to company strategy and autonomy to make architectural decisions.
- License to substantially change and improve an existing GTM system.
- Competitive compensation with equity.
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