GTM Systems Engineer
Listed by employer · Checked
Older posting · still listed ·
- Work arrangement
- remote
- Employment
- FullTime
- Stated compensation
- USD 120,000–250,000 1 YEAR
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The stated geographic scope includes your country.
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2 supporting signals
- The stated geographic scope includes your country.
- The role is described as remote; geographic restrictions still apply.
1 still unclear
- Visa sponsorship is not specified.
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- remote
“Provider workplace type: remote”
From employer posting metadata - Geographic scope
- North America
“Provider location: North America”
From employer posting metadata - Employment type
- FullTime
- Compensation
- USD 120,000–250,000 1 YEAR
7 fields not stated in this posting
- Employer sponsorship
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
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Original job description
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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 YouThe 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:
are known as the go-to person for tackling tough technical problems
can clearly explain complex technical concepts to others
you believe systems should be managed with engineering discipline
work hard and can build and ship fast
are a fast learner, frequently picking up new languages and tools
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.
Partner with the GTM Analytics Engineering team to ensuring data is flowing from our GTM systems to the central Data Platform.
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 and accurate.
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. This is the primary bar.
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, including what breaks and why.
Integration engineering experience — you've built and/or maintained integrations using APIs, webhooks, and event streams, and you've handled what happens when they break silently.
Technical depth beyond the UI — you're comfortable with APIs, webhooks, and scripting, and you know when a native tool (a Flow, a Clay table, a HubSpot workflow) is the right answer versus when it's time to write code.
Agentic workflow experience — you've built or extended AI agent workflows that act on GTM data. Not "we used AI tools" but actually designed and deployed agents in production.
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 — fluent in both worlds, able to translate their needs into system requirements without becoming a bottleneck.
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.
An opportunity to build something truly impactful to the world
Contribute to open source alongside world-class engineers
Competitive salary and equity package
Health, dental, and vision benefits
Flexible vacation policy
LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io.
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