Solutions Engineer (Data & AI)

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

Salary: $180,000–$215,000/year plus variable compensation tied to sales and production delivery.

Company

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

What you will do

• Own new and existing accounts, services revenue, forecasting, and commercial outcomes.
• Run technical discovery, scope engagements, price estimates, and defend proposals and statements of work.
• Launch the first sprint of sold engagements hands-on before transitioning delivery to a lead.
• Build reference architectures, demos, and proofs of concept that reflect production deployments.
• Develop co-sell opportunities through Snowflake and Databricks partner channels.
• Improve service definitions and pricing using feedback from client engagements.

Requirements

• 5+ years in a client-facing technical role at a data platform, analytics, or AI company.
• Demonstrated revenue or quota ownership and experience sizing and describing deals.
• Recent hands-on engineering experience with SQL, Python, and data pipelines using dbt, Airflow, or an equivalent.
• Working depth in Snowflake or Databricks and practical fluency in the other platform.
• Ability to communicate credibly with CDOs, staff engineers, and other technical and executive stakeholders.
• Resume and application materials must be submitted in English.

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 required by the engagement.
• Builder-led, client-first culture focused on ownership, clear communication, and high-impact delivery.
• Ownership of a book of accounts, including the private equity channel and existing expansion opportunities.
• Work across multiple industries, technologies, and engagement types.
• Certification support for Snowflake, Databricks, AWS, GCP, and Azure.
• Base salary plus variable compensation tied to sales and production outcomes.

Hiring process

• 30-minute screening covering revenue, deals, and recent technical work.
• Technical working session involving discovery, architecture, and a two-week delivery plan.
• Commercial session, leadership conversation, references, and offer.