Pre-Sales Engineer – Cloud Data Warehouse, Data Engineering & AI - US Based - Remote

CoEnterprise, LLC.; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading software company seeks a Sales Engineer with expertise in cloud data warehousing and AI/ML to collaborate with the sales team. The role involves understanding customer requirements, designing scalable architectures, and delivering tailored solutions using platforms like Databricks and Snowflake. An excellent opportunity for individuals with a strong background in data engineering and cloud technologies to thrive in a vibrant and inclusive environment.

Benefits

Health insurance

401(k)

PTO

Virtual team events

Wellness programs

Qualifications

• 5+ years in cloud data architecture, data engineering, or AI/ML.
• Experience with cloud environments (AWS, Azure, Google Cloud).
• Technical and sales engineering background in data and AI/ML.

Responsibilities

• Understand customer requirements and design cloud data architectures.
• Present product demos and conduct workshops on data engineering and AI.
• Collaborate with sales teams and other technical teams.

Skills

Data integration

Cloud data architecture

AI/ML integration

Customer engagement

Communication

Education

Bachelor’s degree in Computer Science, Engineering, Data Science

Tools

Databricks

Snowflake

TensorFlow

PyTorch

Job description

Pre-Sales Engineer – Cloud Data Warehouse, Data Engineering & AI - US Based - Remote

CoEnterprise is an award-winning B2B software and professional services company headquartered in New York City. Founded in 2010, CoEnterprise delivers Data & Analytics solutions that transform how companies connect and do business. We value collaboration, ownership, and excellence in our relationships with partners and clients.

Job Overview:

We seek a skilled Sales Engineer with expertise in cloud data warehousing, data engineering, and AI/ML to collaborate with our sales team. You will present tailored solutions leveraging platforms like Databricks and Snowflake, bridging business needs with technical solutions to help customers solve complex data challenges and maximize AI technologies.

Key Responsibilities:

• Understand customer requirements and design scalable cloud data architectures using Databricks, Snowflake, and other platforms.
• Present product demos, Proof of Concepts, and architectural walkthroughs.
• Develop technical presentations and conduct workshops on data engineering, cloud architecture, and AI analytics.
• Assist with RFP/RFI responses, aligning solutions with customer goals.
• Lead data strategy workshops and build project scopes.
• Understand customer data workflows, pipelines, and integration needs.
• Advise on data pipeline design, automation, and AI/ML integration for real-time or batch processing.
• Guide clients on AI/ML use cases and integration into data architectures.
• Build ongoing customer relationships and ensure satisfaction.
• Collaborate with product, engineering, and data science teams to stay updated on new features and roadmaps.
• Train sales teams on latest data and AI technologies.

Technical Enablement & Best Practices:

• Create and maintain technical documentation and collateral.
• Contribute to best practices, white papers, and case studies.
• Lead internal training sessions and webinars on AI-driven data solutions.

Qualifications:

• Experience with cloud data platforms like Databricks, Snowflake, or similar solutions.
• Knowledge of data pipelines, ETL/ELT, and big data processing frameworks.
• Experience with AI/ML model development and deployment.
• Familiarity with data integration, real-time processing, and analytics pipelines.
• Experience with cloud environments (AWS, Azure, Google Cloud).
• Ability to engage with technical and business stakeholders.
• Background in sales engineering or technical support in data, cloud, or AI/ML domains.
• Excellent communication and presentation skills.
• Customer-focused with the ability to articulate business value.

Experience & Education:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
• 5+ years in cloud data architecture, data engineering, AI/ML, or sales engineering.
• Hands-on experience with platforms like Databricks, Snowflake, and AI tools (TensorFlow, PyTorch).

Bonus Skills:

• Certifications in relevant technologies.
• Experience with BI tools (Power BI, Tableau, Looker).
• Agile and DevOps experience.
• Supply chain experience is a plus.

Join our spirited culture and work with a dedicated, high-energy team in a stable, growing company! Benefits include health insurance, 401(k), PTO, virtual team events, wellness programs, and more.

We celebrate diversity and are committed to an inclusive workplace, welcoming contributions from all employees regardless of background.