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atlan
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США
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SeniorУдалённоПолная занятость

Senior Partner Sales Engineer

Оценка ИИ

Отличная вакансия в быстрорастущей компании (Leader по версии Gartner/Forrester) с фокусом на ИИ. Предлагает удаленную работу, конкурентную зарплату 'top of the market' и возможность влиять на продукт через работу с крупнейшими партнерами.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием 7+ лет опыта в Sales Engineering и глубоких знаний современного стека данных (Snowflake, Databricks). Кандидат должен не только владеть техническими навыками (Python, SQL, API), но и уметь выстраивать партнерские отношения на уровне архитектуры решений.

Анализ зарплаты

Медиана190 000 $
Рынок160 000 $ – 230 000 $
Оценка ИИ

Компания заявляет, что ориентируется на верхнюю границу рынка. Указанный диапазон соответствует уровню Senior Sales Engineer в США для Tier-1 технологических компаний.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Partner Sales Engineer position at Atlan. With over 7 years of experience in solutions architecture and a deep focus on the modern data stack, I have consistently empowered partners to deliver complex data governance and AI-ready solutions. My background in working closely with Snowflake and Databricks ecosystems aligns perfectly with Atlan’s mission to provide a unified context layer for the enterprise.

Throughout my career, I have not only focused on winning individual deals but on building scalable systems and reference architectures that enable partner SEs to succeed independently. I am particularly drawn to Atlan’s AI-native culture and your vision of closing the AI value chasm through active metadata. I am eager to bring my technical expertise in SQL, Python, and REST APIs, combined with my passion for building automated solutions, to help scale Atlan’s partner technical motion.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в atlan уже сейчас

Присоединяйтесь к Atlan и станьте ключевым архитектором в экосистеме данных и ИИ, работая с лидерами рынка!

Описание вакансии

Who We Are

Atlan is building the missing context layer for data and AI, helping enterprises close the AI value chasm. Today, 95% of AI pilots fail because AI systems don’t understand the context behind data: what it means, how it’s governed, and how it should be used.

Atlan connects to every part of the modern data and AI stack to unify this context into a single, shared layer that both humans and AI agents can rely on.

With Atlan, teams can discover, understand, and trust their data; build and collaborate on a shared body of knowledge; and activate that context across analytics, operations, and AI workflows.Trusted by global enterprises like Mastercard, Workday, General Motors, Unilever, Ralph Lauren, FOX, Nasdaq, and Medtronic, we’re backed by world-class investors including GIC, Insight Partners, Meritech, Peak XV, and Salesforce Ventures

Why this role exists

AI budgets are exploding. But most enterprises still can't get AI into trusted production — because they lack AI-ready data, context, and governance.

Atlan is the context layer and control plane for data & AI. Partners — Snowflake, Databricks, hyperscalers, and leading SIs — are our biggest force multiplier in making that real. This role exists to own that technical motion.

What you'll own

Evangelise the context layer Be the go-to technical voice for partners on how Atlan powers AI-ready data and enterprise governance on Snowflake, Databricks, and modern data stacks.

Build joint solutions Co-design repeatable reference architectures and demos (e.g., AI-ready data on Snowflake + Atlan, AI governance on Databricks + Atlan). Work hands-on with REST APIs, SQL, dbt, and partner-native AI services like Cortex.

Enable partner technical teams Design and deliver onboarding, training, and certifications so partner SEs can position, demo, and validate Atlan — without us in the room.

Drive opportunity creation Run partner-facing demos, discovery sessions, and POV workshops tied to high-priority AI initiatives: AI copilots, talk-to-data, AI governance.

Feed back into product Bring partner and field insights into roadmap conversations, and help prioritise integrations that cement Atlan as the default governance layer across our ecosystem.

What you’ll bring

  • 7+ years in Sales Engineering or Solutions Architecture, with meaningful partner or ecosystem experience (cloud, ISV, or SI)
  • Hands-on with the modern data stack (Snowflake, Databricks, BigQuery/Redshift, dbt, BI) and how it's evolving for AI and LLM use cases
  • Fluent in concepts like RAG, semantic layers, active metadata, AI governance, and context layers — and able to connect them to business outcomes
  • Comfortable with SQL, Python, and REST APIs to build integrations, POCs, and solution patterns
  • Proven in complex, multi-stakeholder enterprise sales cycles alongside cloud providers and/or SIs
  • AI-native by habit — you use AI to build, automate, and scale, not just to draft emails. You'll be asked to show us something you've built.

What makes someone great here

You're not just a solid SE who uses AI tools. You have a builder's itch — you get frustrated with repetitive tasks and proactively build automations or agents to eliminate them. You think in systems: "How do we enable 50 partner SEs to do this without us?" rather than "How do I win this deal?"

Why Atlan?

Joining Atlan means being part of a global movement to help data teams do their life’s best work. Here’s what you can expect:

  • Competitive Compensation: We benchmark at the top of the market and keep compensation simple: strong base salary, performance‑based variable pay, and impact‑driven equity (for most roles), so your total rewards grow in step with the value you create over time.
  • AI Native Culture: Atlan is where AI-native builders come to build the systems the future of work will run on. AI isn’t an add-on, it’s woven into how we build, think, and work every day, empowering every Atlanian to move faster and create a bigger impact.
  • Health & Wellness: From Day‑1 health, dental, vision, and mental health to flexible health stipends, we design benefits offerings that lead in each country we're in.
  • Flexible Time Off & Leave Policies: We trust you to own your energy: flexible time off and modern leave so you can unplug properly, support yourself and your loved ones, and come back ready to drive an impact.
  • Accelerated Growth & Learning: Develop at an uncommon velocity through cutting-edge tech, complex implementations, and an experienced team that values mastery.
  • Global, Remote-First, High-Trust: Work from anywhere with a diverse team across 15+ countries, in a trust-first, async environment that gives you true flexibility and ownership over how you work.

More About Us

Atlan is building the shared context layer that enterprises need so AI can operate on trusted, governed context. The conversation has moved from data leaders asking: “Can we trust the data in our stack?” to businesses asking: “Can we trust AI inside the business?”

We are the missing infrastructure for businesses becoming AI-forward - the connective tissue between their data stack, operational systems, and AI agents.

Recognized as an industry-leading metadata, catalog, and data governance platform, we’ve been named a Leader by both Gartner and Forrester across enterprise data catalogs, metadata management, and governance.

To learn more, visit www.atlan.com and follow us on LinkedIn

*Equal Opportunity Employer*

Atlan is committed to building an inclusive, diverse, and authentic workplace. We do not discriminate based on race, color, religion, national origin, age, disability, sex, gender identity or expression, sexual orientation, marital status, military or veteran status, or any other legally protected characteristic.

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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • SQL
  • dbt
  • RAG
  • BigQuery
  • Snowflake
  • Databricks
  • REST API
  • Data Governance
  • Metadata Management
  • Redshift
  • BI

Возможные вопросы на собеседовании

Проверка технической экспертизы в интеграции различных платформ данных.

Опишите ваш опыт проектирования совместной архитектуры между SaaS-платформой и облачным хранилищем данных (например, Snowflake или Databricks). С какими основными трудностями вы столкнулись?

Оценка способности масштабировать знания через партнеров.

Как бы вы построили программу технического обучения для инженеров партнера-интегратора, чтобы они могли самостоятельно проводить демо и внедрять Atlan?

Проверка понимания современных концепций ИИ и их связи с данными.

Как, по вашему мнению, качественное управление метаданными влияет на успех внедрения RAG-систем (Retrieval-Augmented Generation) в крупных предприятиях?

Оценка навыков автоматизации и 'builder's itch'.

Расскажите о конкретном инструменте или скрипте, который вы создали для автоматизации повторяющейся задачи в процессе продаж или внедрения. Что именно он делает?

Проверка навыков работы в сложных корпоративных продажах.

Опишите случай, когда вам пришлось убеждать технического директора (CTO) крупного клиента в ценности 'слоя контекста' (context layer) при наличии уже существующих инструментов каталогизации.

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atlan
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США