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AI Ops, GTM
Отличная возможность для 'билдеров' в быстрорастущей компании с серьезным финансированием ($180 млн). Удаленная работа, современный стек и высокая степень свободы делают эту вакансию крайне привлекательной для инноваторов.
Сложность вакансии
Роль требует уникального сочетания навыков: глубокого понимания GTM-процессов (Sales, Marketing) и способности самостоятельно писать код для автоматизации с использованием ИИ. Высокая планка обусловлена необходимостью работать в условиях неопределенности и самостоятельно формировать дорожную карту.
Анализ зарплаты
Зарплата в объявлении не указана, но рыночные оценки для ролей на стыке AI Engineering и RevOps в США (особенно в таких технологичных хабах, как Питтсбург или при удаленной работе на компанию из Кремниевой долины) обычно начинаются от $130,000. Tiger Data, имея значительные инвестиции, вероятно, предлагает конкурентоспособный пакет, включающий опционы.
Сопроводительное письмо
I am writing to express my strong interest in the AI Ops, GTM position at Tiger Data. With a background that bridges the gap between technical execution and revenue operations, I have consistently focused on building tools that solve real-world business inefficiencies. My experience with LLMs, APIs, and agentic workflows aligns perfectly with your mission to rethink go-to-market motions through rapid experimentation and automation.
In my previous projects, I have successfully deployed AI-powered automations that streamlined lead enrichment and personalized outbound communications, much like the workflows mentioned in your job description. I am a firm believer in the 'ship fast' mentality and am comfortable using tools like Claude Code and Python to move from prototype to live usage in days. I thrive in ambiguous environments where I can identify bottlenecks and build the solutions myself.
Tiger Data’s commitment to PostgreSQL and its evolution into a platform for agentic workloads is incredibly exciting. I am eager to bring my bias toward action and my curiosity for emerging AI tools to your RevOps team to help drive tangible business outcomes and pipeline growth.
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Описание вакансии
At Tiger Data, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity.
At TigerData, we’re not treating AI as a side project; we’re actively rethinking how go-to-market teams operate because of it.
This role sits at the intersection of RevOps, Sales, Marketing, and Product, reporting into the Head of RevOps. It’s a builder role for someone who sees inefficiencies across the GTM motion and instinctively starts figuring out how to fix them.
You don’t need to have had this exact title before. Some of the strongest people in this role started in adjacent roles (SDR, RevOps, Growth, Engineering) and taught themselves how to build. The common thread isn’t background, it’s intellectual curiosity, creativity, and a bias toward experimentation.
You won’t be handed a fully defined roadmap — but you’ll work closely with GTM leaders to identify where you can have the biggest impact.
If you’re the kind of person who sees a broken process and thinks, “I could automate that by tonight,” you’ll feel at home here.
This role is remote. We have a strong preference for candidates based in Pittsburgh or similar US markets.
What you will be responsible for in this role:
- Identifying inefficiencies across Sales, Marketing, and RevOps and proactively fixing them
- Building and shipping AI-powered workflows, tools, and MVPs (internal-first, occasionally customer-facing)
- Automating repetitive GTM processes (lead enrichment, outbound personalization, CRM workflows, routing, etc.)
- Rapid experimentation: going from idea → prototype → live usage in days, not weeks
- Partnering across teams to deeply understand problems and deliver solutions that actually get used
- Acting as an internal thought partner on how AI can transform our GTM motion
- Continuously exploring new AI tools, workflows, and ideas and bringing the best ones into the company
- Shipping is the goal, not prototypes that never get used
You could be a great fit if you:
- Are a hands-on AI operator. You regularly build with LLMs, APIs, agents, or automation tools and understand their real-world limitations
- Are comfortable using agentic coding tools like Claude Code to go from idea to working product without waiting on engineering resources
- Can point to real things you’ve built with AI (workflows, tools, automations, side projects) that have been used in practice
- Have a track record of teaching yourself new things quickly and applying them immediately
- Default to action: you’d rather ship a scrappy MVP today than debate for a week
- Thrive in ambiguity and don’t need a roadmap to get started
- Are highly curious and constantly experimenting with new tools and ideas
- Care about solving real business problems (time saved, pipeline generated, processes improved)
- Can work cross-functionally and confidently engage with Sales, Marketing, and Ops teams
- Can write code or comfortably work with APIs (Python, JavaScript, or similar) or can ramp quickly
- Have exposure to GTM systems (Salesforce, HubSpot, Clay, etc.) or can learn them quickly
You might not be a great fit if you:
- Want a clearly defined role with a fixed roadmap
- Prefer planning and discussion over building and shipping
- Are more interested in AI as a concept than as a tool to drive business outcomes
- Need close direction or structured problem statements to be effective
- Haven’t spent meaningful time building and shipping with AI tools yet (beyond light experimentation)
- Avoid cross-functional work or influencing stakeholders
Our Commitment:
- We respond to every applicant.
- We review applications fairly and objectively, and shortlist based on relevant skills and experience.
- We ensure clear and timely communication throughout your candidate journey.
- We maintain a rigorous interview process with a high bar, designed to give you the opportunity to meet various team members you'll collaborate with across our organization.
About Tiger Data🐯
Tiger Data, formerly Timescale, sets the standard as the fastest PostgreSQL platform for modern workloads. Trusted by more than 2,000 customers across 25+ countries and powering over 3 million active databases, we enable developers and organizations to build real-time, intelligent applications at scale. Backed by $180 million from top-tier investors, Tiger Data is building the new standard for data infrastructure, built on PostgreSQL, designed for the future.
👉 👉 Want to get a feel for how we work and what we value? Check out our blog post:What It Takes to Thrive at Tiger Data
We embrace diversity, curiosity, and collaboration. Whether debating the perfect chicken nugget crunch 🍗, sharing workout routines 💪, or discussing your favorite plants 🌱 and pets 🐾, you'll find your community here.
Our Tech Stack:
We don't require previous experience with our tech stack, but enthusiasm for learning is key. Our technologies include PostgreSQL, Tiger Cloud, AWS, Go, Docker, Kubernetes, Python, and innovative features like Hypertables, Hypercore, vector search, and real-time analytics.
Learn more atwww.tigerdata.com or follow us on Twitter@TigerDatabase
What We Offer:
(Please note that benefits may vary based on country.)
- Flexible PTO and comprehensive family leave
- Fridays off in August 😎
- Fully remote opportunities globally
- Stock options for long-term growth
- Monthly WiFi stipend
- Professional development and educational resources 📚
- Premium insurance options for you and your family (US-based employees)
Ready to join the future of PostgreSQL? We can’t wait to meet you. 🚀🐯
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Навыки
- AWS
- Python
- LLM
- Salesforce
- Kubernetes
- PostgreSQL
- JavaScript
- HubSpot
- Docker
- APIs
- Automation
- AI Agents
- Clay
Возможные вопросы на собеседовании
Проверка практического опыта работы с ИИ и способности доводить прототипы до внедрения.
Расскажите о самом сложном ИИ-инструменте или автоматизации, которую вы создали с нуля. Какие бизнес-метрики это улучшило?
Оценка навыков работы с современным стеком разработки (Claude Code, Cursor и т.д.).
Как вы используете агентные инструменты кодинга в своей повседневной работе для ускорения разработки?
Проверка понимания специфики GTM и умения находить узкие места.
Если бы вы анализировали воронку продаж и обнаружили низкую конверсию из лида в назначение встречи, какие ИИ-решения вы бы предложили протестировать в первую очередь?
Оценка способности работать без четкого ТЗ.
Как вы приоритизируете задачи, когда перед вами несколько отделов с разными проблемами, а четкого плана действий от руководства нет?
Проверка технической грамотности в области интеграций.
Опишите ваш опыт работы с API GTM-систем (например, Salesforce или HubSpot) и инструментом Clay. С какими ограничениями вы сталкивались?
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