[Remote] Sr. Product Analyst - Forward Deployed Engineer at Atlan

Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data AnalyticsIndustries

Requirements

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

Responsibilities

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

Skills

Data Engineering

Analytics Engineering

Talk-to-Data

Data Infrastructure

Natural Language Processing

Customer Workshops

Atlan

Unified platform for data management and collaboration

About Atlan

Atlan offers a platform for data management that helps teams access and understand their data while promoting collaboration. Its unique data catalog organizes metadata, reducing data silos and integrating with various industry tools to create a comprehensive data stack. The company uses a pay-as-you-go revenue model, making it flexible for businesses of all sizes, and is known for its strong customer service with quick response times. Atlan's goal is to streamline data management processes, enhancing data accessibility and collaboration for organizations.

Singapore, SingaporeHeadquarters

2019Year Founded

$195.5MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

201-500Employees

Benefits

Remote Work Options

Risks

Emerging startups with similar capabilities could dilute Atlan's market share.

Rapid AI evolution may require Atlan to invest heavily in R&D.

Over-reliance on key partnerships poses risks if terms change or dissolve.

Differentiation

Atlan offers a unique data catalog that organizes and activates metadata effectively.

The platform integrates seamlessly with tools like Slack, Snowflake, and Tableau.

Atlan provides a personalized, collaboration-first experience for data management.

Upsides

Atlan raised $105M in Series C funding, boosting its valuation to $750 million.

The demand for data democratization tools is increasing, benefiting Atlan's offerings.

Growing interest in AI and machine learning enhances Atlan's data processing capabilities.

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