GTM Systems Engineer
- Role
- DevOps
- Employment
- Full-time
- Company size
- Startup
Open to CA, MX only. Set where you work from to check your eligibility.
No BS summary
LiveKit is seeking a GTM Systems Engineer to own the infrastructure layer for their revenue engine, focusing on Salesforce and HubSpot. The role involves architecting Salesforce as a source of truth, building outbound workflows, enrichment pipelines, and AI-driven automations. Candidates need deep hands-on Salesforce expertise, solid HubSpot experience, and proven integration engineering skills with a code-first mindset.
Core skills
Required skills
Optional skills
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 recruiting@livekit.io.
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.
What they require
- 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.
Benefits
- 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 building the infrastructure layer for the agentic era of computing. Its platform gives developers tools to build, test, deploy, scale, and observe AI agents in production.