Revenue AI Builder for GTM Ops

Syndio

Calgary (TX)

Remote

USD 125,000 - 148,000

Full time

12 days ago

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Benefits offered by this job

Competitive salary
Equity
20 days PTO and paid time off

Job summary

Syndio is seeking a GTM Engineer to build internal tools that power the revenue org, using AI agents as the default tool. You’ll route leads, score them, and wire signals between systems to enable Marketing, Sales, and Customer Success.

You’ll work on a foundation already in production, improving and extending it rather than starting from scratch. You’ll ship usable, production-ready solutions, guided by real user problems and measured by adoption.

Qualifications

  • Experience building agents and workflows.
  • Experience with automation tooling (no-code/low-code ok).
  • Strong data-driven decision making.
  • Ability to translate business problems into technical solutions.

Responsibilities

  • Build the tools the revenue team actually adopts: dashboards, data pipelines, ops apps.
  • Build the agents themselves and improve existing ones with integrations and autonomous workflows.
  • Create sophisticated marketing tools that show what drives pipeline.
  • Develop internal sales tools: post-call follow-ups, demos, research, prospecting and enrichment pipelines.
  • Create partner and customer operations workflows: health reports, onboarding, renewal and expansion processes.
  • Document what you ship and tie outcomes to the problems and adopters.

Skills

AI agents
Agentic tooling
n8n experience
Systems thinking
Data-driven decisions

Tools

Claude Code
Cursor
no-code tools

Job description

Syndio is seeking a GTM Engineer to build internal tools that power the revenue org, using AI agents as the default tool. You’ll route leads, score them, and wire signals between systems to enable Marketing, Sales, and Customer Success.

You’ll work on a foundation already in production, improving and extending it rather than starting from scratch. You’ll ship usable, production-ready solutions, guided by real user problems and measured by adoption.

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