LiveKit

GTM Systems Engineer

Remote, U.S

Sponsorship not specifiedDetected 28 days ago

GitSQLBigQuerySnowflakedbtData EngineeringAgentic AIHubSpotSalesforceLead GenerationOutbound SalesSystems Engineering

About the role

Systems engineering is at the core of this role, but it doesn't stop there.
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.
You understand the difference between owning a system and gatekeeping one.

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.
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.
LiveKit is building the infrastructure layer for the voice-driven era of computing.
An opportunity to build something truly impactful to the world

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.
Proven integration engineering experience - you've built and owned integrations using APIs, webhooks, and event streams, and you've handled what happens when they break silently.
You have concrete examples of using code to solve GTM operational problems and you can speak to the judgment behind when you reached for it.
Agentic workflow experience, in code - you've built or extended AI agent workflows that act on GTM data.
dashboards, alerts, and runbooks so you know when something is wrong before Sales or Marketing does.

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.
Contribute to open source alongside world-class engineers
LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law.

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.
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.
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.

This listing is sourced directly from LiveKit's careers page and normalized into a canonical job model.