GTM Systems Engineer
Own Salesforce and HubSpot as engineering systems, build GTM integrations and agentic AI workflows, and ensure reliable data flow across the revenue stack.
About the job
What You'll Do
- Own Salesforce as the engineering system of record for revenue: data model, custom objects and fields, flows and automation, validation rules, field governance, and access control.
- Own HubSpot as the marketing system for campaigns and lead gen, and own the HubSpot-Salesforce sync — ensuring leads, contacts, and engagement signals flow accurately from Marketing into the revenue pipeline without drift or silent failures.
- Build and maintain integrations across the GTM stack (Salesforce, HubSpot, Gong, Clay, Common Room, billing platform, and more) — ensuring data, engagement signals, and activity flow accurately without silent failures.
- Own the data flow from GTM systems to the central Data Platform, partnering with the GTM Analytics Engineer to ensure accuracy, lineage, and security at every step.
- Build, deploy, and extend agentic workflows: AI agents that consume GTM data, surface actionable signals, and automate operations that used to require a human.
- Build and maintain observability for critical GTM systems: dashboards, alerts, and runbooks so you know when something is wrong before Sales or Marketing does.
- Implement proper change management across both CRMs: code changes go through review, config changes are documented, rollback paths exist.
- Partner with SalesOps and Marketing to ensure both GTM orgs can work effectively in their respective systems.
- Partner with the Billing Systems Engineer on CPQ-to-Billing workflows — ensuring the closed-won-to-billing handoff is automated and accurate.
Who You Are
- Deep, hands-on Salesforce expertise — you understand the data model, have built complex flows and automation, and you think about it as an engineering system, not an admin tool.
- Solid HubSpot experience in a marketing context — you've owned or operated it for campaigns and lead gen, and you've managed the HubSpot-Salesforce sync.
- Proven integration engineering experience — you've built and owned integrations using APIs, webhooks, and event streams.
- Code-first mindset — scripting, APIs, and CLI over UI when it's the right call.
- Agentic workflow experience, in code — you've built or extended AI agent workflows that act on GTM data.
- Strong change management practices — you've managed deployments in live systems where a mistake breaks active deals or campaigns.
- Comfortable partnering with Sales and Marketing stakeholders directly.
Nice to Have
- Salesforce CPQ: approvals, order forms, discounting rules, and the closed-won-to-billing path.
- SQL and data modeling fluency; familiarity with a warehouse-centric stack (BigQuery, Snowflake, dbt, reverse ETL).
- Experience with billing platforms (Stripe, Zuora, Maxio) and the handoffs between GTM systems and billing.
Skills
Salesforce, HubSpot, API Integrations, Webhooks, Event Streams, SQL, BigQuery, Snowflake, dbt, Stripe
Similar jobs
GTM Engineering jobsOwn the go-to-market data and attribution infrastructure, integrating marketing and sales platforms into reliable pipelines, attribution models, and executive dashboards. The role requires 5+ years in B2B SaaS GTM, revenue, marketing operations, or analytics engineering, with strong SQL, BigQuery, tracking, and ABM expertise.
Build and operate the systems, data infrastructure, and applied AI workflows powering a modern GTM organization. The role requires 5+ years in a technical GTM-facing position, strong architecture and automation experience, and hands-on familiarity with AI development tools and enterprise GTM platforms.
Own the reliability, evaluation, observability, cost, and business impact of LangChain’s production GTM agent. The role requires strong Python and SQL, experience operating LLM applications, and production-operations instincts.
Own the end-to-end GTM stack and revenue engine at an AI agent startup, building outbound infrastructure, CRM integrations, paid acquisition experiments, and AI-powered workflows for pipeline generation and scaling. Requires 4-8 years owning GTM outcomes with SQL, APIs, and high-agency execution.
Build and scale Nango’s growth systems across acquisition, onboarding, activation, attribution, and sales automation. This hands-on role suits a business-minded full-stack engineer skilled in TypeScript, web applications, APIs, and data-driven experimentation.