Joist AI is hiring a GTM Engineer (Revenue Systems & Automation) to own the technical foundation of our go-to-market systems. You will partner closely with Sales, Customer Success, Marketing, and Engineering teams to build and maintain the tooling, integrations, automations, dashboards, and reporting that power our revenue engine.

What You'll Do

Own GTM integrations and automation across HubSpot and internal systems, ensuring reliable data flow and clean system behavior.
Build and maintain RevOps tooling: workflows, lead routing, enrichment, lifecycle stages, handoffs, notifications, and automated follow-ups.
Create reporting and dashboards for GTM leadership and operators: funnel, pipeline, conversion, activity, forecasting inputs, cohort/adoption, and post-hoc analyses.
Develop custom reporting in tools like Superset, including operational dashboards and ad-hoc analysis for investigations and build custom apps using streamlit.
Design data hygiene + governance: field standards, deduping, naming conventions, and audit mechanisms to keep CRM and downstream analytics trustworthy.
Prototype and productionize AI-enabled workflows (agents, assistants, automation) that improve GTM throughput and reduce repetitive work.
Collaborate with engineering on architecture decisions, integration patterns, observability, and security best practices for GTM systems.
Support light business development operations as needed (tooling for outreach, account research automation, enablement workflows, etc.).

What We're Looking For

3+ years of experience in a technical GTM/RevOps, SalesOps engineering, solutions engineering, or systems/integrations role.
Strong working knowledge of HubSpot (objects, workflows, properties, lifecycle, reporting) and comfort operating as a power user/admin.
Experience integrating systems via APIs, webhooks, middleware, and/or iPaaS tools (Zapier/Make/n8n/Workato, etc.).
Experience with analytics and dashboarding (Tableau and/or similar BI tools), and comfort with funnel/pipeline metrics.
Familiarity with data fundamentals (schemas, ETL/ELT concepts, dedupe, source of truth, event vs. object modeling).
Strong ownership mindset: you can take a messy process, make it measurable, and automate it end-to-end.
Clear communication skills and comfort working across Sales, Marketing, CS, and Engineering.

Nice to Have

You can write code (Python/TypeScript) to build lightweight services, integrations, scripts, and internal tooling.
You’ve built revenue data pipelines (warehouse + BI), or implemented attribution, enrichment, or product usage → CRM syncs.
You’ve built AI agents / agentic workflows for prospecting, research, meeting prep, follow-ups, CRM updates, or internal support.
You’ve worked in B2B SaaS with longer sales cycles and multiple stakeholders, and you care about operational rigor.
You love experimenting and can balance speed with reliability.