401,286open jobs
13,975companies
77,769added this week
Browse all
Salary
$120k – $250k per year
Location
Remote (North America)
Employment
Full-Time
Overview
Company
Impact
Profile match
LiveKit is an open-source real-time audio, video, and AI voice infrastructure platform headquartered in San Francisco. The company provides cloud and developer infrastructure designed to build ultra-low-latency video conferencing, live streaming, and interactive multimodal AI voice agents into web and mobile applications. Powered by flexible SDKs and scalable server orchestration, LiveKit is widely used by developers and enterprise teams to deploy real-time voice and video applications at global scale.

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 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. This is the primary bar.

  • 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, including what breaks and why.

  • 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.

  • Code-first mindset - scripting, APIs, and CLI over UI when it's the right call. 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. Not "we used AI tools" but actually designed and deployed agents in code: prompts, tool calls, orchestration logic, and the guardrails that make them safe to run autonomously.

  • 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.

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.

Our Commitment to You

  • 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 [email protected].

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
401,286 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
In your city
Senior AI Engineer 25 days ago
$58k – $146k per year (Estimated) • Remote/Hybrid • Belgrade
Python
TypeScript
C#
C#
.NET
gRPC for .NET
AI/ML
A2A
AI Agents
AWS Bedrock
ChatGPT
Claude
ComfyUI
Gemini
LangChain
LangGraph
Llama
LLM
LLM Guardrails
Model Context Protocol
Multimodal AI
RAG
Stable Diffusion
DevOps
AWS
Azure
CI/CD
Docker
GCP
gRPC
Terraform
WebSockets
Management
n8n
Apply
In office • Full-Time • 1+ year exp • Noida
SQL
AI/ML
ChatGPT
Claude
Gemini
LLM
Management
Google Sheets
n8n
Marketing
HubSpot
Salesforce
Zoho CRM
Apply
In office • 4+ years exp • Bachelor's Degree
Java
Python
SQL
Databases
Snowflake
AI/ML
Copilot
DevOps
AWS
CI/CD
GitHub
Rest API
Analytics
Power BI
Marketing
Salesforce
Apply
$85k – $105k per year • In office
AI/ML
AI Agents
Copilot
Apply
$128k – $229k per year (Estimated) • Equity • Remote • Full-Time • Boston
AI/ML
Computer Vision
Marketing
HubSpot
LinkedIn
Apply
$135k – $300k per year • Equity • Remote • Full-Time • 6+ years exp
AI/ML
AI Agents
LiveKit
OpenAI
DevOps
AWS
CI/CD
GCP
WebRTC
Cybersecurity
Threat Modeling
Marketing
Salesforce
Spotify
Apply
$190k – $250k per year • Equity • Remote • Full-Time • 6+ years exp
AI/ML
ChatGPT
Claude
LiveKit
OpenAI
Management
Google Sheets
QuickBooks
Stripe
Marketing
Salesforce
Spotify
Apply
$190k – $258k per year • Equity • Remote • Full-Time
AI/ML
AI Agents
LiveKit
OpenAI
Voice Agents
Marketing
LinkedIn
Reddit
Salesforce
Spotify
Apply
$190k – $240k per year • Equity • Remote/Hybrid • Full-Time • San Francisco
AI/ML
LiveKit
LLM
OpenAI
Voice Agents
Marketing
Salesforce
Spotify
Apply
$180k – $320k per year • Equity • In office • Full-Time • 7+ years exp • Miami • Los Angeles • Austin • San Antonio • Chicago
C++
Go
Python
Rust
AI/ML
AI Agents
LiveKit
OpenAI
DevOps
WebRTC
Marketing
Salesforce
Spotify
Apply
See all jobs
This is one of many
401,286 more open roles from verified company boards, updated every day.