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GTM Systems Lead
Исключительная возможность работать в топовом AI-стартапе, поддерживаемом Andreessen Horowitz, с клиентами уровня BlackRock. Роль предлагает высокую степень автономии и работу с передовым стеком технологий, хотя требование 100% присутствия в офисе может подойти не всем.
Сложность вакансии
Роль требует редкого сочетания глубоких знаний традиционных GTM-инструментов (Salesforce, Gong) и практических навыков работы с AI (Claude, Clay, prompt engineering). Высокая планка ответственности и работа в офисе 5 дней в неделю в Нью-Йорке повышают сложность отбора.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Lead в GTM Systems в Нью-Йорке рыночный диапазон составляет $160,000 – $210,000 в год плюс опционы. Учитывая статус компании и требования к AI-компетенциям, предложение может быть выше среднего по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the GTM Systems Lead position at Hebbia. With over 5 years of experience in Revenue Operations and a deep technical background in managing complex GTM tech stacks, I have consistently focused on transforming manual processes into automated, high-efficiency workflows. My expertise in Salesforce, Outreach, and Gong, combined with a practical approach to prompt engineering and AI-driven automation, aligns perfectly with Hebbia's mission to provide a competitive advantage through intelligence.
In my previous roles, I have not only maintained systems but actively redesigned them to eliminate friction and improve data integrity. I am particularly excited about the opportunity to leverage tools like Clay and Claude to build role-specific AI assistants for your field teams. Being a 'builder' at heart, I thrive in fast-paced environments where technical execution meets strategic revenue goals, and I am eager to bring this mindset to your SoHo-based team to help manage the backbone of your $30 trillion asset-reaching platform.
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Описание вакансии
About Hebbia
The AI platform for investors and bankers that generates alpha and drives upside.
Founded in 2020 by George Sivulka and backed by Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.
We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.
Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.
The Team
Hebbia’s Operations function is a multi-faceted team responsible for driving commercial success, collaboration, and productivity across all GTM teams. The team is focused on driving increased efficiency via analytics, tooling, and strategic frameworks to accelerate Hebbia's pre and post-sales teams.
The Role
We're looking for a GTM Systems Lead to own the technical backbone of our revenue engine. This is a builder role: you'll design, ship, and continuously improve the systems, automations, and AI-powered workflows that help our GTM teams operate at their best. You won't be maintaining a set of existing automations; you'll be the person who identifies the friction, designs the fix, and ships it.
You'll own our full GTM tech stack including Salesforce, Outreach, Gong, Apollo, Clay, Claude, and more, and be responsible for how we use AI to transform the way our field teams work. This is a high-visibility, high-ownership role that sits at the intersection of revenue strategy and technical execution.
This team works in person 5 days a week at our SoHo office in NYC.
Responsibilities
AI-Powered Workflow Development
- Identify, build, and iterate on AI-powered workflows using Hebbia, Claude, Clay, and adjacent tools for both pre- and post-sales teams
- Build and maintain prompt libraries and role-specific AI assistants that give field team members leverage in their day-to-day work; set up measurement frameworks to track what's actually moving the needle
Tech Stack and Systems Ownership
- Own, administer, and continuously improve our core GTM tools, serving as the internal subject matter expert for each
- Keep all systems integrated and healthy, with clean data flowing across the stack so that every downstream workflow, report, and automation is built on a foundation that can be trusted
- Audit the full GTM workflow for manual, repetitive work and systematically replace it with automation across data capture, field updates, handoffs, lead enrichment, sequence enrollment, and signal monitoring
Cross-Functional Partnership
- Work closely with the GTM and Operations teams to understand pain points, translate problems into technical solutions, and rollout processes and workflows
Who You Are
- 4 to 7 years of experience in Revenue Operations, GTM Systems, GTM Engineering, or a closely adjacent technical role in a B2B SaaS environment
- Practical experience with prompt engineering and building AI-assisted workflows using LLM APIs or tools like Claude
- Deep hands-on experience with GTM tools including Salesforce, Gong, Outreach, Apollo, and Clay, with a track record of building workflows and automations that teams actually use
- Comfortable working directly with APIs, webhooks, and data integrations. You can connect systems and debug sync issues without filing an engineering ticket
- Experience owning vendor relationships including renewals, evaluations, and contract negotiations
- Experience in fast-paced environments and be comfortable working both as part of a team and independently
- Demonstrated ability to prioritize workload and manage multiple concurrent projects
- Strong verbal and written communication skills; ability to work effectively with cross-functional teams
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Навыки
- Salesforce
- Outreach
- Prompt Engineering
- API
- Webhooks
- Data Integration
- Revenue Operations
- Claude
- Gong
- Clay
- Apollo
Возможные вопросы на собеседовании
Проверка практического опыта автоматизации с использованием современных AI-инструментов.
Расскажите о самом сложном AI-воркфлоу, который вы построили с помощью Clay или Claude для отдела продаж. Какую бизнес-проблему он решил?
Оценка навыков интеграции и технической грамотности без привлечения разработчиков.
Опишите случай, когда вам пришлось настраивать сложную интеграцию через API или вебхуки между Salesforce и сторонним сервисом. Как вы отлаживали ошибки синхронизации?
Проверка умения работать с данными и обеспечивать их чистоту в масштабе.
Как вы подходите к аудиту GTM-стека для выявления 'грязных' данных и какие системные меры внедряете для поддержания гигиены базы в Salesforce?
Оценка способности приоритизировать задачи в быстрорастущем стартапе.
Как вы решаете, какую ручную задачу автоматизировать первой, когда у разных команд (Sales, CS, Marketing) одновременно возникают критические запросы?
Проверка навыков управления вендорами и бюджетом.
Был ли у вас опыт ведения переговоров по контрактам с крупными вендорами (например, Salesforce или Outreach)? Как вы оцениваете ROI нового инструмента перед внедрением?
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