[Remote] GTM Systems Engineer at Twelve Labs

United States

Twelve Labs Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Technology, SaaSIndustries

Requirements

  • 3+ years of experience in Revenue Operations, Sales Operations, or GTM Systems

Responsibilities

  • Own and administer HubSpot as the core GTM platform, managing configuration, data structure, and workflow automation across our growing stack
  • Own marketing automation systems, ensuring accurate campaign execution, routing logic, and engagement tracking across HubSpot Marketing Hub and Salesloft
  • Manage data hygiene and enrichment using Clay and other GTM data tools to ensure accuracy, completeness, and reliability
  • Build scalable automations that support lead routing, lifecycle management, company ownership, and partner attribution across systems such as Avoma and Crossbeam
  • Create reporting and dashboards that provide visibility into pipeline, performance, and GTM efficiency
  • Evaluate and implement new GTM tools and integrations that enhance automation and reporting as we expand our AI-native revenue operations infrastructure
  • Collaborate with Sales, Partnerships, and Growth leadership to translate go-to-market priorities into technical and operational systems
  • Maintain documentation and governance standards for data, workflows, and integrations across the GTM stack

Skills

Key technologies and capabilities for this role

CRMMarketing AutomationRevOpsSystems ManagementAutomationData FlowsData EnrichmentSalesforceHubSpotZapier

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What tools will I be working with in this role?

You will own and administer HubSpot as the core GTM platform, manage Clay, Avoma, Crossbeam, Mixpanel, Metabase, and Salesloft, and handle marketing automation systems.

What are the main responsibilities of the RevOps Systems Manager?

You will own and administer HubSpot, manage marketing automation systems, build workflows, ensure data accuracy and scalability, and work closely with Sales, Growth, and Partnerships leadership.

What is the company culture like at Twelve Labs?

Twelve Labs is a global company that values the uniqueness of each person’s journey and the differences in cultural, educational, and life experiences to challenge the status quo.

What skills make a strong candidate for this role?

Strong candidates need strategic thinking, deep technical execution in building workflows, managing integrations, optimizing data models, and implementing automation across tools like HubSpot and Clay.

Twelve Labs

AI system for video content understanding

About Twelve Labs

Twelve Labs focuses on artificial intelligence and video understanding by developing a system that analyzes videos to extract key features like actions, objects, and speech. This information is transformed into vector representations, enabling fast semantic search within large video datasets. The company differentiates itself by providing a platform that is faster and more effective than many existing models, allowing developers and product managers to easily integrate its technology through an API. Twelve Labs aims to make all videos searchable, enhancing the way businesses utilize video content.

San Francisco, CaliforniaHeadquarters
2021Year Founded
$104.2MTotal Funding
EARLY_VCCompany Stage
Enterprise Software, AI & Machine Learning, EducationIndustries
51-200Employees

Risks

Increased competition from emerging AI startups in video understanding.
Rapid AI advancements require continuous innovation, straining resources.
Potential over-reliance on key investors like SK Telecom and Databricks.

Differentiation

Twelve Labs offers a comprehensive AI system for multimodal video understanding.
Their technology transforms video content into vector representations for fast semantic search.
The platform's API allows easy integration into clients' systems with minimal effort.

Upsides

Growing demand for AI-driven video analytics in education, healthcare, and security sectors.
Recent $30 million funding enhances technology development and strategic partnerships.
Collaboration with cloud providers boosts scalability and efficiency of video processing.

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