LiveKit

LiveKit

GTM Systems Engineer

North America

Sponsorship not specifiedDetected 121 days ago
SQLBigQuerySnowflakedbtData EngineeringAgentic AIHubSpotSalesforceLead GenerationOutbound SalesSystems Engineering

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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.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Implement proper change management across both CRMs: code changes go through review, config changes are documented, rollback paths exist.
  • LiveKit is building the infrastructure layer for the voice-driven era of computing.

Requirements

  • 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.
  • 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.

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.
  • 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.

Skills

  • 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

Compensation

  • Competitive salary and equity package

Company info

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