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LiveKit

GTM Systems Engineer

LiveKit is hiring a GTM Systems Engineer for a remote role. It pays $120k-$250k a year and Level rates it ; you can apply on LiveKit.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions OpenAI, Gong and Clay among its tools and skills.
  • Level classes it as a senior role.
  • LiveKit has 29 other open roles on Level.

AI in this role

Owns the GTM systems infrastructure, building data models, integrations, and AI-driven automation workflows on Salesforce and HubSpot.

OpenAIGongClaySalesforceHubSpot
ai-agentsspeechsystem-architectureautomationagentic-workflowsdata-governance
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:

  • 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

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.

  • 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.

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.

  • 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.

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 recruiting@livekit.io.

How we rate this

GTM Systems Engineer at LiveKit rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsSpeechSystem ArchitectureAutomationAgentic WorkflowsData GovernanceOpenAIGong

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. What have you built with speech recognition or text-to-speech, and where did it break?
  3. Tell me about a project where system architecture was part of your work. What did you do?
  4. Tell me about a project where automation was part of your work. What did you do?
  5. Tell me about a project where agentic workflows was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Speech, System Architecture, Automation, and Agentic Workflows. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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