Senior GTM Engineer

Airbyte • San Francisco, CA

1d • Onsite

About The Position

Airbyte is the open-source standard for data movement, enabling data teams to move data from applications, APIs, unstructured sources, and databases to data warehouses, lakes, and AI applications. With significant adoption and funding ($181M from top investors), Airbyte is now building frontier agentic data infrastructure for AI agents, aiming to make data available and actionable everywhere. The Senior GTM Engineer will be embedded within Airbyte’s go-to-market organization, responsible for building the systems, workflows, and AI agents that convert product, community, and intent signals into pipeline. This is a hands-on senior technical role, partnering closely with Marketing, SDRs, Sales, and Data Engineering. The role focuses on owning workflows for identifying, enriching, scoring, routing, and activating accounts, with a particular emphasis on outbound workflows and GTM automation. The engineer will also build AI-powered internal tooling and agents to enhance the GTM teams' speed and effectiveness, actively using AI as a force multiplier. Ownership, resourcefulness, judgment, and the ability to operate independently are highly valued.

Requirements

• 4+ years in GTM Engineering, Revenue Operations, Growth Engineering, Sales Engineering, or a closely adjacent technical role.
• Experience working in a modern B2B SaaS go-to-market environment, ideally in a high-growth company.
• Strong working knowledge of Salesforce, GTM workflows, and data flow across systems.
• Comfort working with APIs, automation tools, workflow orchestration, and system integrations.
• Ability to work with SQL, schemas, enrichment logic, and data transformation concepts.
• Experience building AI-powered workflows, internal tools, or AI agents that support business processes in production or near-production environments.
• Fluency with AI tools — LLMs and agentic workflows to automate work, prototype quickly, and improve execution.
• A startup-ready mindset: comfortable with ambiguity, moving fast, and owning problems end-to-end.
• Strong judgment and ability to independently drive projects from idea through implementation.

Nice To Haves

• Experience with PLG signals, product usage data, or community-driven GTM motions.
• Experience in developer tools, data infrastructure, or technical B2B SaaS.
• Experience with tools like Common Room, Clay, Snowflake, Trigger.dev, or similar modern GTM platforms.
• Experience building AI-powered internal tools or agent-based workflows.
• Experience supporting SDR, AE, or lifecycle marketing workflows in a high-volume outbound environment.

Responsibilities

• Own the systems that turn product, community, and intent signals into actionable GTM workflows.
• Build and maintain enrichment, scoring, routing, and activation workflows across the GTM stack, with a strong focus on outbound workflows that improve SDR and AE efficiency.
• Design and build AI agents and AI-powered internal tools that support account research, persona-based messaging, outbound execution, inbound triage, and overall GTM efficiency.
• Partner with Marketing, SDRs, Sales, and Data Engineering to make product and usage signals usable for go-to-market teams.
• Evaluate, implement, and maintain key GTM tooling and workflows across systems like Salesforce, Common Room, Clay, Snowflake, and other automation platforms.
• Improve data quality, workflow reliability, and operational visibility across GTM systems.
• Support campaign, event, and lifecycle workflows with better automation, attribution, and routing.
• Help define best practices and raise the bar for how GTM systems and automation are built and maintained across the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed