GTM Systems Engineer
Livekit
| Company | Livekit |
| Category | Engineering |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | USD 120k–250k |
| Posted | 23 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
ABOUT LIVEKIT
LiveKit is building the infrastructure layer for the voice-driven era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production. Founded in 2021, LiveKit powers voice AI applications for OpenAI, xAI, Salesforce, Coursera, Spotify, and thousands of others, collectively facilitating billions of calls each year.
ABOUT YOU
The GTM Systems Engineer at LiveKit owns the infrastructure layer that makes the entire revenue engine work — and builds the automation and agentic workflows that run on top of it. Systems engineering is at the core of this role, but it doesn't stop there. You're equally comfortable architecting Salesforce as a trusted source of truth and building the outbound workflows, enrichment pipelines, and AI-driven automations that help the GTM team move faster and smarter.
Salesforce is our system of record — it holds the bulk of our GTM data and is the source of truth for revenue, pipeline, and customer data. HubSpot is our marketing layer for campaigns and lead gen, and what it captures needs to flow cleanly and reliably into Salesforce. Both systems are in place. What we're building now is the engineering layer that makes all of it trustworthy and intelligent: real change management, observable pipelines, data models built for AI consumption, and agentic workflows that act on GTM signals at scale.
You understand the difference between owning a system and gatekeeping one. Sales lives in Salesforce. Marketing lives in HubSpot. Your job is to make sure both are governed well enough that others can work in them effectively — and powerful enough that the GTM team can do things they couldn't do before.
You'll thrive as a GTM Systems Engineer if you:
- obsess with crafting code that is fast, reliable, and practical for the problem
- are known as the go-to person for tackling tough technical problems
- work hard and can build and ship fast
- can clearly explain complex technical concepts to others
- are a fast learner, frequently picking up new languages and tools
The best way to impress us is with thoughtful Issues and/or PRs on our Github repos 😊
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. Salesforce is the source of truth — everything else flows into or out of it.
- 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 — as part of LiveKit's Data and Business Systems Platform.
- 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 — your job is keeping the foundation trustworthy and accessible, not being a ticket queue.
- Partner with the Billing Systems Engineer on CPQ-to-Billing workflows — ensuring the closed-won-to-billing handoff is automated an
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