Sr. Product Analyst - Forward Deployed Engineer

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Remote
Senior level
Big Data • Software • Analytics
The Role
As a Senior Product Analyst, you'll enhance AI data interactions for enterprise customers, optimize data integrations, conduct workshops, and mentor junior engineers.
Summary Generated by Built In

Data is at the core of modern business, yet many teams struggle with its overwhelming volume and complexity. At Atlan, we’re changing that. As the world’s first active metadata platform, we help organisations transform data chaos into clarity and seamless collaboration.

From Fortune 500 leaders to hyper-growth startups, from automotive innovators redefining mobility to healthcare organisations saving lives, and from Wall Street powerhouses to Silicon Valley trailblazers — we empower ambitious teams across industries to unlock the full potential of their data.

Recognised as leaders by Gartner and Forrester and backed by Insight Partners, Atlan is at the forefront of reimagining how humans and data work together. Joining us means becoming part of a movement to shape a future where data drives extraordinary outcomes.

Who We Are

Atlan is building the future of human–data interaction — where every person can confidently ask questions of their data and get accurate, trustworthy answers through natural language.

We’re a team of customer-facing Data and Analytics Engineers in Atlan’s AI Labs business unit. We focus on creating dynamic outcomes for our customers by building custom Talk-to-Data solutions.

What We Do

We partner with enterprise customers to improve the accuracy and reliability of AI-assisted data interactions (our “Talk-to-Data” experiences), diving deep into their data infrastructure, analytics systems, and usage patterns.

We run technical workshops, lead investigations into accuracy gaps, and collaborate closely with Atlan’s engineering and product teams to make systematic improvements that scale across customers.

What You’ll Do

You’re a Senior Data / Analytics Engineer who thrives at the intersection of data, AI, and customer experience. In this role, you’ll work directly with some of the world’s most data-driven organizations to make their AI-powered data experiences more accurate, scalable, and impactful.

This role is for someone who enjoys the satisfaction of solving complex technical problems with customers and is equally comfortable writing code, leading technical sessions, and influencing product evolution.

  • Partner directly with enterprise customers to improve the accuracy of AI-powered data interactions in their environments.

  • Lead and facilitate technical workshops to uncover sources of error or inconsistency in data agent responses.

  • Analyze, debug, and optimize integrations with modern data stacks (Snowflake, BigQuery, Databricks, etc.) to ensure high-quality, contextually accurate results.

  • Translate customer insights into scalable solutions and internal improvements to Atlan’s AI and data infrastructure.

  • Collaborate with product and engineering teams to design experiments, test accuracy improvements, and contribute to Atlan’s broader AI data intelligence roadmap.

  • Develop playbooks and tools to make accuracy improvement repeatable and measurable across customers.

  • Mentor junior engineers or data specialists as the team grows in scope and complexity.

What You Bring
  • 6+ years of professional experience in software engineering, data engineering, or analytics infrastructure, with a deep understanding of how data moves through modern stacks.

  • Strong coding skills in Python, Go, or a similar modern language; comfort working with APIs, cloud platforms, and large-scale data systems.

  • Experience working directly with customers or external partners in a technical capacity — consulting, implementation, or technical success roles.

  • Solid understanding of SQL, metadata, and data quality concepts; ability to reason about accuracy, schema, and data context.

  • Excellent communication skills — you can explain complex technical issues to both engineers and business stakeholders.

  • (Bonus) Familiarity with AI/LLM systems, retrieval-augmented generation (RAG), or natural language interfaces to data.

  • (Bonus) Prior experience in a startup or high-growth environment where you’ve had to balance engineering excellence with customer velocity.

Your Roadmap to Success

Your First 30 Days

  • Work with at least one customer to increase their accuracy from X to Y percent

  • Run a successful customer workshop by the end of the month

  • Keep exploring! You’ve run at least 2-3 complex experiments

Your First 90 Days

  • You’ve successfully helped 1-2 customers to deploy their TTD use case

  • One or two experiments are admitted back into the workflow

  • You’ve crafted your own authentic Talk To Data story to share with customers

  • We have a backlog of experiments to explore, and you’re prioritizing based on business needs

Why Atlan for You?

At Atlan, we believe the future belongs to the humans of data. From curing diseases to advancing space exploration, data teams are powering humanity's greatest achievements. Yet, working with data can be chaotic—our mission is to transform that experience. We're reimagining how data teams collaborate by building the home they deserve, enabling them to create winning data cultures and drive meaningful progress.

Joining Atlan means:

  1. Ownership from Day One: Whether you're an intern or a full-time teammate, you’ll own impactful projects, chart your growth, and collaborate with some of the best minds in the industry.

  2. Limitless Opportunities: At Atlan, your growth has no boundaries. If you’re ready to take initiative, the sky’s the limit.

  3. A Global Data Community: We’re deeply embedded in the modern data stack, contributing to open-source projects, sponsoring meet-ups, and empowering team members to grow through conferences and learning opportunities.

As a fast-growing, fully remote company trusted by global leaders like Cisco, Nasdaq, and HubSpot, we’re creating a category-defining platform for data and AI governance. Backed by top investors, we’ve achieved 7X revenue growth in two years and are building a talented team spanning 15+ countries.

If you’re ready to do your life’s best work and help shape the future of data collaboration, join Atlan and become part of a mission to empower the humans of data to achieve more, together.

We are an equal opportunity employer
At Atlan, we’re committed to helping data teams do their lives’ best work. We believe that diversity and authenticity are the cornerstones of innovation, and by embracing varied perspectives and experiences, we can create a workplace where everyone thrives. Atlan is proud to be an equal opportunity employer and does 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 characteristic protected by law.

Top Skills

APIs
BigQuery
Cloud Platforms
Databricks
Go
Python
Snowflake
SQL
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The Company
HQ: New York, NY
192 Employees
Year Founded: 2018

What We Do

Built by a data team for data teams, Atlan is the active metadata platform for the modern data stack. It stitches together metadata from various sources (Snowflake, dbt, Databricks, Looker, Tableau, Postgres, etc.) to create a unified data discovery, cataloging, lineage, and governance experience across all your data assets, from columns and queries to metrics and dashboards. Atlan facilitates a two-way movement of metadata, bringing context back into the tools and workflows that your data team uses every day — for example, in your BI tool when you wonder what a metric on the dashboard means.

A pioneer in the space, Atlan was named a Leader in Forrester Wave™️: Enterprise Data Catalogs for DataOps in 2022 and was recognized by Gartner seven times in 2021, including as a Cool Vendor in DataOps and in the inaugural Market Guide for Active Metadata Management. Today, we power pioneering data teams like WeWork, Plaid, Postman, Unilever, and Ralph Lauren. We recently raised a Series B, backed by top investors (including Insight Partners, Sequoia, and Salesforce Ventures) and founders & CEOs from the modern data stack (including Snowflake, Looker, and Stitch).

For more information, visit http://www.atlan.com/ or follow us on Twitter at AtlanHQ.

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