Agent Systems Engineer - GTM & Internal Operations

New
F
Finite StateProduct Security
USA, CanadaFull-TimeSenior
Salary192,000 - 230,000 USD per year
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Job Details

Experience
5+ years
Required Skills
PythonSQLSalesforceSnowflakeTypeScriptHubSpotdbt

Requirements

  • 5+ years in RevOps, Growth Ops, GTM Engineering, Sales Engineering, or Solutions Engineering.
  • Fluent in SQL and comfortable with Python or TypeScript.
  • Experience with production modern data stacks including warehouses (Snowflake, BigQuery), dbt, and Reverse ETL (Hightouch, Census).
  • Deep expertise in Salesforce or HubSpot schema design and sync logic.
  • Working knowledge of GTM tools like Outreach, Salesloft, Gong, ZoomInfo, Clay, Apollo, and LinkedIn Sales Navigator.
  • Proven production experience deploying LLMs and AI agents in GTM workflows.
  • Strong discovery instincts to translate stakeholder needs into technical workflows.
  • Process-oriented thinking for mapping human and automated handoffs.
  • Strong sense of security, governance, and data risk management.
  • Self-directed ability to define processes and ship v1 products independently.

Responsibilities

  • Run discovery with revenue leaders to identify time sinks and design effective solutions.
  • Architect the GTM data layer using Snowflake as the source of truth, dbt for modeling, and Reverse ETL for activation.
  • Design and build AI agents for account research, ICP scoring, deal intelligence, and lead routing.
  • Deploy LLMs and agents into GTM workflows where they provide concrete business value.
  • Wire systems together via APIs, webhooks, and custom code.
  • Build signal pipelines that capture buying intent and trigger automated actions.
  • Implement governance layers including permissions, audit trails, and access controls.
  • Build evaluation harnesses to measure pipeline generation and rep hours saved.
  • Codify patterns as reusable skills and document architecture for team continuity.
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192,000 - 230,000 USD per year
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