- Страна
- Канада
- Зарплата
- 170 000 $ – 200 000 $
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на вакансии с ИИ

GTM Engineer
Отличная позиция в быстрорастущем ИИ-стартапе с конкурентной зарплатой и возможностью работать удаленно. Роль предлагает высокую степень автономии и работу с самыми современными технологиями (LLM, агенты).
Сложность вакансии
Роль требует уникального сочетания навыков: глубокого знания бизнес-систем (Salesforce), владения инструментами автоматизации (Zapier, n8n) и навыков программирования (Python/JS) для работы с ИИ. Высокая сложность обусловлена необходимостью понимать как техническую сторону API, так и бизнес-логику GTM-процессов.
Анализ зарплаты
Предлагаемый диапазон $170k–$200k полностью соответствует рыночным ожиданиям для опытных GTM-инженеров в США, особенно в Bay Area. Это верхний сегмент рынка для специалистов на стыке RevOps и Engineering.
Сопроводительное письмо
I am writing to express my strong interest in the GTM Engineer position at Snorkel AI. With over four years of experience at the intersection of business systems and engineering, I have a proven track record of building scalable automations that drive revenue growth. My background in Python and JavaScript, combined with deep expertise in Salesforce and low-code platforms like n8n and Zapier, aligns perfectly with your mission to transform expert knowledge into specialized AI.
In my previous roles, I have successfully deployed AI-enabled workflows and integrated complex GTM stacks to improve data flow and operational efficiency. I am particularly drawn to Snorkel AI because of your data-centric approach to artificial intelligence. I am eager to bring my technical skills in API integration and systems thinking to help your Sales, Marketing, and RevOps teams move faster and achieve higher performance through pragmatic engineering and smart automation.
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Описание вакансии
About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About The Role
Snorkel’s go-to-market teams are a critical engine behind our growth. We’re looking for a GTM Engineer who will sit at the intersection of business systems, data, automation, and AI to design and build workflows that help Sales, Marketing, Delivery, Applied AI, and Revenue Operations move faster and generate more revenue.
You will own the strategy and execution of high-impact automations and AI-enabled workflows across our GTM stack using tools such as Salesforce, Gong, Apollo, Claude, Zapier, Make, n8n, Google Workspace, and other connected business systems. You will also help evaluate and implement new tools, integrations, and lightweight internal applications that improve how we run the business.
This is a hands-on builder role for someone who enjoys solving messy operational problems with scalable systems, smart automation, and pragmatic engineering. Your work will accelerate pipeline generation and outreach, improve process efficiency and system quality, and increase productivity across the full revenue lifecycle.
What You’ll Do
- Identify high-leverage opportunities for automation, AI, and systems improvement across GTM workflows, including lead routing, account research, deal support, forecasting workflows, delivery handoffs, and post-sale processes.
- Design, build, and maintain automated workflows and AI-enabled processes using a mix of no-code/low-code tools, Salesforce automation, APIs, and code where appropriate.
- Build and optimize integrations across Salesforce and connected GTM systems to improve data flow, system reliability, and operational efficiency.
- Partner with Sales, Marketing, Delivery, Customer Success, Finance, and RevOps leadership to understand business pain points and translate them into scalable technical solutions.
- Develop internal tools, utilities, and lightweight applications that improve how GTM teams access data, execute workflows, and make decisions.
- Improve the quality and usability of GTM data by implementing governance, validation, enrichment, and monitoring frameworks across business systems.
- Evaluate new vendors, platforms, and AI tooling with a clear build vs. buy mindset.
- Ensure systems and workflows are well documented, tested, reliable, and maintainable.
- Help define best practices for how Snorkel applies AI within GTM operations, balancing speed, utility, and quality.
- Continuously identify opportunities to reduce manual work and increase leverage across the organization.
Required Qualifications
- 4+ years of experience in GTM Engineering, Business Systems, Revenue Operations, Solutions Engineering, Data Engineering, or similar technical operational roles
- Strong hands-on experience with Salesforce, including data model, automation, integrations, and system design
- Experience building workflows and automations using tools such as Zapier, Make, n8n, Claude Code, OpenAI agent builder, Workato, or similar platforms
- Experience building or deploying AI-enabled workflows, copilots, or agents for business teams
- Proficiency in Python or JavaScript, with experience building API integrations and lightweight automations
- Strong understanding of how GTM teams operate across Sales, Marketing, Delivery, and post-sale workflows
- Experience translating business requirements into scalable technical solutions
- Strong systems thinking and the ability to balance speed with maintainability
- Excellent cross-functional communication and stakeholder management skills
- Strong analytical and problem-solving abilities with high attention to detail
Bonus Points For
- Familiarity with tools such as Gong, Clay, Snowflake, dbt, or modern enrichment and orchestration platforms
- Experience in B2B SaaS, AI/ML, or high-growth technology environments
- Familiarity with services-oriented GTM or delivery workflows
Location: Bay Area strongly preferred, Open to Remote.
Salary Range
$170,000—$200,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Навыки
- Salesforce
- Python
- JavaScript
- Zapier
- n8n
- Make
- API
- Claude
- OpenAI
- SQL
- Gong
- Apollo
- Workato
- Snowflake
- dbt
Возможные вопросы на собеседовании
Проверка опыта работы с основным инструментом стека и понимания архитектуры данных.
Опишите наиболее сложную интеграцию с Salesforce, которую вы реализовали. С какими ограничениями платформы вы столкнулись?
Оценка навыков работы с современными ИИ-инструментами в бизнес-контексте.
Как бы вы спроектировали ИИ-агента для автоматизации процесса исследования аккаунтов (account research) для отдела продаж?
Проверка умения выбирать между готовыми решениями и собственной разработкой.
Какими критериями вы руководствуетесь при принятии решения 'build vs buy' для нового инструмента в GTM-стеке?
Оценка навыков программирования и работы с данными.
Расскажите о случае, когда стандартных no-code инструментов было недостаточно и вам пришлось писать кастомный скрипт на Python/JS для обработки данных.
Проверка умения работать с кросс-функциональными командами.
Как вы приоритизируете запросы на автоматизацию от разных отделов (Sales, Marketing, Finance), если их цели конфликтуют?
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- Страна
- Канада
- Зарплата
- 170 000 $ – 200 000 $