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AI Generalist (Operations & Analytics)

Hello, we are Atlan! 👋

Atlan is the home for data teams worldwide, simplifying collaboration for diverse users—business, product, analysts, and engineers. Think of us as Salesforce for sales or GitHub for engineers.


Built by Data Teams, for Data Teams 💙

We started as a data team solving complex challenges in healthcare and poverty. After 200+ projects, we faced the chaos of scaling data teams, leading us to build tools to make our own team more agile. This enabled us to complete projects like India’s National Data Platform—three years ahead of schedule. Realizing our tools could help others, Atlan was born to empower data teams globally.


Rapid Growth 🚀

We’ve onboarded customers like HubSpot, Dropbox, and Nasdaq, expanded across 10+ countries, and is the leader in The Forrester Wave™ for Enterprise Data Catalogs.

Backed by top investors, including Insight Partners, Salesforce Ventures, and Sequoia, we’re just getting started.


We Build with ❤️

We believe data teams deserve better software. Data is chaotic, but work shouldn’t be! 🌟

If you love what Superhuman, Slack, Notion, and Figma have done for the modern workplace, join us in building the future for data teams at Atlan!



Why is this role important for us? 🤔

You will be the data compass steering Atlan's AI initiatives, architecting the systems that measure impact and optimize operations for scale. At Atlan, we're growing rapidly and winning amazing customers like Plaid, Monster, and Ralph Lauren powered by our GTM engine. We’re looking for someone who can transform data into decisions that accelerate our growth and unlock unprecedented value for customers.

Your mission 🌟

  • Build our impact measurement framework - design analytics systems that quantify how our AI initiatives accelerate growth and enhance customer value.

  • Drive operational excellence - evaluate and optimize our AI tools ecosystem, ensuring we get maximum ROI from our investments while maintaining efficiency.

  • Create the intelligence backbone - develop dashboards and real-time reporting that help teams understand what's working and identify new opportunities.

  • Enable systematic scaling - architect automated workflows and data pipelines that allow successful initiatives to grow seamlessly while maintaining quality.

  • Power data-driven decisions - transform complex data into clear insights that guide our taskforce's strategy and demonstrate business impact.

What makes you a match for us? 😍

  • Analytics Experience - Bring 5+ years of proven analytics and operations experience from high-growth B2B software companies. You've built measurement frameworks for major initiatives, created executive-level dashboards, and have a track record of turning complex datasets into actionable insights.

  • Technical Foundation - Advanced SQL expertise and proficiency with modern BI tools (Sigma experience is a plus). You're comfortable building data pipelines and have a strong grasp of data architecture principles that ensure scalable, reliable analytics.

  • Operations Excellence - Strong experience evaluating, implementing, and optimizing enterprise software tools. You've built scalable processes, driven tool adoption, and consistently demonstrated ROI on operational investments while maintaining high data quality standards.

  • Business Impact - Proven ability to connect operational metrics to business outcomes. You've supported strategic decisions with data, built frameworks to measure initiative success, and have a history of driving measurable improvements in team efficiency.

  • Strategic Mindset - Sharp analytical thinking combined with the ability to see the bigger picture. You understand how to translate business requirements into operational metrics and can build systems that scale.

  • Execution Focus - Thrive in dynamic environments with exceptional attention to detail. You have a proven track record of working effectively across technical and business teams to drive results.

Do your life’s best work at Atlan 🚀


At Atlan, our mission is to help data teams do their life's best work. Inside Atlan, our goal is to help Atlanians do their life's best work while at Atlan and reach their Ikigai.


We'd normally invite potential Atlanians to our office to meet our team and understand our culture. But given the global pandemic, we've opened up our internal team handbook instead, which is a great read about our values and principles and how we think about growth and internal practices as we build a dream team.


Atlan Team Handbook

The Values of an Atlanian


Excited about the opportunity? Apply now! 👇

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CEO of Atlan
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Prukalpa Sankar and Varun Banka
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What You Should Know About AI Generalist (Operations & Analytics), Atlan

Hey there! We're Atlan, and we're building something extraordinary for data teams globally! As an AI Generalist focused on Operations & Analytics, you'll be vital in steering our AI initiatives. Imagine working for a company that supports teams like those at HubSpot and Dropbox while also contributing to major projects like India’s National Data Platform—now that's impactful! In this role, you'll design systems that measure the impact of our AI tools, helping us identify new growth opportunities. Your analytical skills will shine as you create dashboards that not only display key metrics but also derive actionable insights for our teams. If you have a knack for optimizing operations and a passion for data-driven decision-making, we want you on our side to help us grow and scale effectively. At Atlan, we believe in transforming complex datasets into clear strategies that benefit our customers. So if you're ready to embark on this journey with us and do your life's best work, then we can't wait to meet you!

Frequently Asked Questions (FAQs) for AI Generalist (Operations & Analytics) Role at Atlan
What are the responsibilities of an AI Generalist at Atlan?

As an AI Generalist (Operations & Analytics) at Atlan, you'll be responsible for building impact measurement frameworks, evaluating our AI tools ecosystem for operational excellence, developing real-time reporting dashboards, architecting automated workflows, and transforming data into strategic insights. This role is integral in helping our data teams understand what's working and where new opportunities lie.

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What qualifications are required for the AI Generalist position at Atlan?

To be a successful AI Generalist at Atlan, candidates should have at least 5 years of analytics and operations experience in high-growth B2B software environments. Proficiency in SQL and modern BI tools is essential, alongside a strong foundation in building data pipelines. Additionally, experience in implementing and optimizing enterprise software tools is crucial for ensuring our AI initiatives deliver maximum ROI.

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What skills will help me succeed as an AI Generalist at Atlan?

Success as an AI Generalist at Atlan relies on a combination of strong analytical thinking, operational excellence, and a strategic mindset. You should be capable of connecting operational metrics to business outcomes, developing scalable systems, and driving effective collaboration across technical and business teams to ensure impactful results.

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What is the importance of the AI Generalist role for Atlan's growth?

The AI Generalist plays a critical role in Atlan's growth by architecting systems that optimize operations and measure the success of AI initiatives. This position drives data-driven decision-making to accelerate growth, helping us to better serve our customers while ensuring that we scale effectively in a fast-paced environment.

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How does Atlan support the professional development of its employees?

At Atlan, we prioritize the growth and development of our team members through continuous learning opportunities, mentorship, and access to resources that align with our principles and values. We encourage employees to pursue their Ikigai, which embodies doing their life's best work while contributing to a collaborative and innovative culture.

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Common Interview Questions for AI Generalist (Operations & Analytics)
Can you describe your experience with analytics in a high-growth B2B company?

In answering this question, highlight your specific roles and responsibilities in analytics, emphasizing how you've built measurement frameworks, developed dashboards, or used data to drive business decisions. Be ready to provide concrete examples of your impact on the company's growth.

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What BI tools have you used, and how did they impact your work?

Discuss the BI tools you've worked with, focusing on how they facilitated your analysis and reporting processes. Share any experiences where using these tools led to significant improvements or insights for your team or organization.

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How do you prioritize tasks when managing multiple projects?

Explain your approach to task prioritization by mentioning techniques like the Eisenhower Matrix or frameworks you apply to manage workload effectively. Highlight your adaptability and how you align project tasks with company goals.

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What methods do you use to ensure data quality?

Talk about practices you implement, such as regular audits, validation techniques, and collaboration with other teams to maintain high data quality standards. Emphasize the importance of this in driving accurate insights.

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Can you explain a time when you used data to influence a strategic decision?

Share a specific scenario where your data insights led to actionable changes in strategy. Illustrate the context, your analysis process, and the outcomes that resulted from your recommendations.

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Describe how you would approach building an impact measurement framework.

Outline your steps in this process, such as understanding business goals, identifying KPIs, architecting the measurement system, and ensuring its adaptability. Provide an example if possible to illustrate your approach.

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How do you stay updated with the latest trends in data analytics and AI?

Offer insights into your methods for staying informed, such as following industry thought leaders on social media, participating in webinars, or engaging in relevant communities. Showcase your commitment to continual learning.

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What challenges have you faced when implementing data solutions, and how did you overcome them?

Reflect on past challenges, explaining your problem-solving strategies and how you collaborated with technical and business teams to overcome barriers to implementation.

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How would you develop dashboards to communicate complex data effectively?

Discuss your focus on user experience and clarity when creating dashboards. Address considerations like visual design principles, choosing the right metrics, and ensuring that insights are easily digestible for stakeholders.

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What role do automated workflows play in your data practices?

Provide insights into how automated workflows improve efficiency in your data analysis and reporting processes. Share examples of successful implementations you've executed or participated in.

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To help data teams do more, together! 💪

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Full-time, remote
DATE POSTED
December 28, 2024

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