Atlan

AI-Era SEO & Content Discoverability Lead

United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Data Management, SaaS, BiotechnologyIndustries

Requirements

The ideal candidate will possess a strategic and technically sharp mindset to lead discoverability efforts in the AI era. Experience in semantic SEO, relevance engineering, and content architecture is essential. Familiarity with LLM visibility, retrieval-augmented platforms, and zero-click attribution metrics is required. A strong understanding of structured content formats, entity-based architecture, internal linking, and schema markup is necessary. The role also demands the ability to define best practices for machine-readable content and lead cross-functional implementation of technical enhancements.

Responsibilities

This role is responsible for driving Atlan's visibility across retrieval-augmented platforms and AI-generated answers by building and optimizing structured content formats. The lead will develop and execute a scalable strategy for semantic SEO and discoverability, owning the evolution of Atlan's topical authority model and building frameworks that unify various content surfaces. Responsibilities include defining best practices for structuring content to be machine-readable and LLM-aligned, leading technical enhancements, and developing playbooks for cross-functional teams. Additionally, the lead will redefine discoverability success metrics, measure performance across SEO and generative retrieval channels, and evangelize modern SEO practices across the organization.

Skills

SEO
Content Strategy
Discoverability
AI
Metadata
Search Engine Optimization
Content Marketing
Technical Writing
Data Governance
Information Retrieval
Knowledge Management

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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