GTM Systems Engineer
at Faire
San Francisco, CA, hybrid, full time, USD 1,74,500–2,40,000 / year, 5+ years
seen 47d ago
- Reverse ETL
- Gong
- Clay
- n8n
- GitHub
- Workato
- SQL
- SOQL
- DevOps
- Zapier
- LLM APIs
- Snowflake
- dbt
- ETL
- Apex
- Salesforce
- Python
About the role
GTM Engineering builds and operates the intelligent systems, integrations, and automations that power Faire's GTM revenue org. We're the AI and technical backbone of GTM — accountable for the reliability, adoption, and continuous improvement of the tech stack. We're an AI-first team: we design intelligent workflows, build automation, and invest in the data foundations that make every capability we ship compound in value over time.
We're hiring a GTM AI & Systems Engineer to help build the next generation of AI and automation across Faire's go-to-market stack. This is a builder role on our GTM Engineering team — you'll design, build, and ship the agents, integrations, and workflows that take manual work off Sales and put Faire's data to work across the customer lifecycle.
What you would do
* Design, build, and ship AI agents and automations across the GTM motion: lead routing and scoring, account enrichment, sequencing and outbound support, deal support, and customer lifecycle signals. * Own and extend core parts of our Salesforce and GTM systems architecture alongside the rest of the GTM Engineering. * Contribute to Salesforce governance and DevOps hygiene as part of keeping the stack secure, reliable, and audit-ready. * Partner with our PAE team on the GTM data layer — Snowflake, Hightouch, Fivetran, Airflow, or related data tools — so usage and lifecycle signals reach the right system and trigger the right action automatically. * Partner with Sales, Success, RevOps, and Program Management to find where AI and automation create the most leverage, and turn that into working, adopted systems — not just proofs of concept. * Stand up evals, monitoring, and guardrails so every AI capability we ship is observable, reversible, and measured against a real business metric — pipeline influenced or rep time saved, not just uptime. * Set the bar for how AI shows up in Faire's GTM motion day to day — the data-quality standard, the review points, and the guardrails other builders on the team follow. * Help shrink the team's own keep-the-lights-on burden by identifying recurring operational work that's a good candidate for agent handling. * Track the AI and automation tooling landscape and bring the best of it into how Faire's GTM org operates.
What they are looking for
* 5+ years building automation, integrations, or tooling in a GTM, RevOps, or Business Systems context, with systems you've shipped and currently operate in production. * Hands-on Salesforce experience (declarative, Apex/SOQL, DevOps) and working familiarity with the modern GTM stack (ETL, Reverse ETL, Snowflake, Clay, Gong, GitHub). * Production experience with integration/automation tooling — Workato, Zapier, n8n or similar iPaaS/MCP/agent-builder platforms. * Working fluency with AI tooling — LLM APIs, agent/orchestration frameworks, prompting with agents or AI-driven workflows. * Judgment about where AI and automation genuinely help versus where they create risk — you know when to push automation further and when to pull back, and when to keep a human in the loop. * Comfort with SQL and enough Python or scripting to build and debug your own pipelines and integrations. * A builder-operator mindset: you'd rather ship something small and real than plan something big and theoretical, and once it's live, you keep making it better. * Strong written communication — you can explain what a system does and why to both engineers and go-to-market stakeholders.
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