Sales Engineer (AI)

TL;DR

Sales Engineer (AI): Supporting technical presales for data integrity software with an accent on custom demonstrations, proof-of-concept delivery, and cloud-native solution architecture. Focus on translating complex customer requirements into scalable data strategies using AI-driven tools and modern cloud environments.

Location: Must be based in the United States (100% remote).

Company

hirify.global is a global leader in data integrity, empowering organizations to make confident decisions through a unique combination of software, data enrichment, and strategic services.

What you will do

• Perform technical and business value discovery to identify client pain points and propose innovative solutions.
• Deliver custom demonstrations, workshops, and proof-of-concepts to stakeholders across various sales stages.
• Build custom solutions using a modern tech stack including Databricks, Snowflake, AWS, Azure, and GCP.
• Act as a trusted advisor on cloud modernization and AI-driven initiatives for strategic transformation programs.
• Represent the brand as an ambassador at industry trade shows and marketing events.

Requirements

• Must be based in the United States.
• Bachelor’s degree in Computer Science, IT, or a relevant engineering field.
• 2+ years of experience in presales, product management, professional services, or technical engineering.
• 2+ years of experience developing solutions with Scala, Python, Java, or Spark frameworks.
• Hands-on experience with cloud-native infrastructure (e.g., AWS, EKS) and SaaS architecture.
• Proven ability to influence technical and operational stakeholders, including C-suite executives.
• Demonstrable experience with Generative AI and MCP servers.
• Ability to travel approximately 30% of the time.

Nice to have

• Experience with Data Enrichment, Location Intelligence, Data Quality, or MDM solutions.

Culture & Benefits

• Commitment to career development and internal growth opportunities.
• Work-from-anywhere culture within a distributed global environment.
• Focus on innovation and AI-first workflows to eliminate low-value tasks.
• Collaborative environment centered on core values of Openness, Determination, Individuality, and Collaboration.