Applied Forward Deployed Engineer (Post-Sales) (AI)

Location: Remote, US; approximately 25% travel to customers.

Salary: $140K–$180K, plus equity and commission.

Company

hirify.global provides an agent trust platform that observes, fixes, and improves AI agents and the data powering them for enterprise customers.

What you will do

• Own customer deployments from contract close through operational go-live, configuring monitors, alerts, and integrations.
• Write production-quality Python and SQL and build REST API integrations in customer environments, including Snowflake and Databricks.
• Drive active customer consumption, measurable value, and adoption across teams, data assets, and use cases.
• Feed customer insights back to Product and Engineering to improve the core product.
• Build the FDE playbook as an early member of a new function.

Requirements

• 5+ years building on Snowflake, Databricks, or a modern cloud warehouse as the person who designed and built the platform.
• Production experience with Python and SQL and confidence integrating REST APIs in another environment.
• Experience owning post-sale technical outcomes for enterprise customers, including implementation, solutions, forward deployed engineering, or technical onboarding.
• Ability to lead working sessions with data engineers and brief VP-level stakeholders.
• Experience operating without an established playbook and creating structure independently.
• Customer-facing data experience and willingness to write code in customer technology stacks are required; profiles limited to pre-sales, internal-only data work, support queues, or advisory work are unsuitable.

Nice to have

• Experience with dbt, Airflow, Fivetran, or Looker.
• Background in data quality, pipeline monitoring, incident response, data observability, or an adjacent category.

Culture & Benefits

• Remote-first environment by design.
• Competitive compensation, equity, and commission.
• Opportunity to build in the emerging agent trust and data observability market.
• Work supporting enterprise customers with production data and AI use cases.
• Inclusive, equal-opportunity workplace committed to diverse backgrounds and perspectives.