Sales Engineer Sales Engineer

Location: Remote - United States; client travel may be required when justified by the engagement.

Salary: $180,000 yearly base salary plus variable compensation

Company

hirify.global is a data and AI consultancy that designs and deploys modern data platforms, analytics, machine learning, and AI agent solutions for mid-market and enterprise clients.

What you will do

• Own new and existing accounts, carry a services number, and forecast revenue.
• Lead technical discovery, scope engagements, price estimates, and defend proposals and statements of work.
• Stand up the first sprint for sold engagements with hands-on engineering before handing delivery to a lead.
• Build reference architectures, demos, and proofs of concept aligned with production deployments.
• Develop co-sell opportunities through Snowflake and Databricks partner channels.
• Improve service definitions and pricing based on field learnings.

Requirements

• 5+ years in a client-facing technical role at a data platform, analytics, or AI company.
• Experience as a Solutions Architect, Solutions Engineer, Sales Engineer, or technical Account Executive.
• Direct revenue ownership through quota responsibility or named technical ownership of sizeable deals.
• Recent hands-on engineering experience with SQL, Python, and data pipelines using dbt, Airflow, or an equivalent.
• Working depth with Snowflake or Databricks, plus practical fluency in the other platform.
• Ability to communicate credibly with C-level data executives and staff engineers while selling scope and outcomes.

Nice to have

• Experience in a consultancy, systems integrator, or Big Four practice.
• Experience selling to private equity portfolio companies or value creation teams.
• Production experience with RAG, agentic systems, or ML platforms.
• An active Snowflake or Databricks partner network.

Culture & Benefits

• Remote-first work with client travel when justified by the engagement.
• Ownership of a book of business, including the private equity channel and existing accounts.
• Engagements spanning multiple industries and technology stacks.
• Builder-led, client-first environment with autonomy for people closest to the work.
• Certification support for Snowflake, Databricks, AWS, GCP, and Azure.

Hiring process

• 30-minute screening focused on quota, deals, and recent work.
• Technical working session covering discovery, architecture, and the first two weeks of delivery.
• Commercial session, leadership conversation, references, and offer.