19 часов назад
Manager, GTM Engineering - Seller Efficiency (AI)
240 000 - 265 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, GTM Engineering - Seller Efficiency (AI) (Revenue Systems and AI): Building and scaling sales workflow automations, pipeline intelligence, and AI-powered internal tools with an accent on APIs, event-driven architectures, and measurable business impact. Focus on leading a team of GTM Engineers, translating sales challenges into technical roadmaps, and designing systems that improve efficiency across the revenue organization.
Location: New York, United States; hybrid
Salary: $240K–$265K annually plus equity
Company
helps organizations turn growth ideas into reality through unique data, signals, integrations, and AI research.
What you will do
- Build and own sales workflow systems, including book carving, ROE automation, signal detection, and pipeline intelligence.
- Lead a team of 3–5 GTM Engineers while remaining hands-on with complex technical problems and high-impact projects.
- Partner with sales leadership to translate ambiguous business problems into technical roadmaps and prioritize high-leverage work.
- Design scalable tooling and connect systems through APIs, webhooks, and automation.
- Establish standards for code quality, documentation, observability, governance, and engineering growth.
- Measure adoption, performance, and business impact, iterating based on feedback.
Requirements
- 8+ years of experience building revenue systems in RevOps, GTM Engineering, sales systems engineering, or a similar technical area.
- Strong proficiency in Python, JavaScript, SQL, or TypeScript, including code review, debugging, and production development.
- Experience deploying AI-powered internal tools, automations, or agentic workflows at scale.
- Knowledge of data warehouses, BI tools, ETL/reverse ETL systems, and event-driven architectures.
- 3+ years managing technical teams in hypergrowth environments, including hiring, mentoring, and developing engineers.
- Strong prioritization, communication, commercial judgment, and ability to operate in ambiguous environments.
Nice to have
- Experience using as a primary workflow or enrichment layer.
- Background in analytics engineering, data science, or full-stack software engineering.
- Experience scaling a GTM Engineering function from 0 to 1 or from 1 to 5+ people.
Culture & Benefits
- Work with a growing customer and integration ecosystem, including 11,000+ customers and 150+ integration partners.
- Access to world-class coaches specializing in creativity, management, and related areas.
- A culture that supports diverse creative and professional pursuits.
- Equity included in the compensation package.
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