Senior Sales Engineer - West

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Data Management, SaaS, BiotechnologyIndustries

Requirements

Candidates should have a minimum of 7 years of experience as a Sales Engineer or a Technical Data Practitioner in customer-facing roles, with prior experience in data technology. Proficiency in SQL and REST APIs is required, and programming experience in Python, Java, Go, or another language is a plus. Experience with Enterprise customers navigating complex sales cycles and multi-stakeholder deals is also necessary. The role requires strong analytical skills, creativity in problem-solving, and the ability to explain technical concepts clearly and build alignment across diverse groups. Candidates must be based remotely in the West or Central USA and possess a growth mindset.

Responsibilities

The Senior Sales Engineer will build strong relationships with stakeholders across organizations, from CDOs and Data Platform leaders to data engineers and analysts, to understand their problems. They will act as a trusted advisor for data teams on their journey to building a modern data platform and share Atlan’s vision and agile data culture principles with the wider data community. Responsibilities include ensuring customers have all necessary information for informed adoption decisions, such as setting up customized demo flows, running trials and POCs, and conducting office hours. The role also involves capturing customer feedback and collaborating with the product team to help shape the roadmap.

Skills

Sales Engineering

Data

Metadata Platform

Problem-Solving

Customer Relationship Management

Technical Sales

Go-to-Market Strategy

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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