GTM Engineer

About Birdeye

Birdeye is the leading agentic marketing platform for multi-location brands.

Companies like H&R Block, Aspen Dental, and Caesars Entertainment use Birdeye to manage marketing across thousands of locations — from how they get found, to how they convert, to how they retain customers. Our platform replaces disconnected point tools with AI agents that execute work at the location level — responding to reviews, updating listings, publishing content, and driving conversions.

Backed by Marc Benioff, Jerry Yang, and Accel-KKR, Birdeye was named to G2’s 2026 Best Agentic AI Products list — appearing alongside the world’s leading AI companies. We’re expanding rapidly into enterprise, with growing adoption across large, multi-location brands.

About the Role

We're building a GTM Engineering function inside RevOps — and this role sits at the center of it. As a GTM Engineer, you'll own the technical layer that powers our go-to-market motion: the automations, AI workflows, data pipelines, and tool integrations that turn strategy into execution at scale. This isn't a traditional ops analyst role. You'll write code, build systems, and ship things that sales, marketing, and CS teams use every day. You'll work closely with RevOps leadership, Business Applications, and cross-functional GTM stakeholders to identify where human effort can be replaced with intelligent automation — and then build it.

What You'll Own

• AI-powered workflows — Design and deploy LLM-based automations across the GTM stack (Clay, Gong, Salesforce, Marketo) to surface signals, enrich data, and trigger actions without manual intervention
• Data pipelines — Build and maintain pipelines between Snowflake, Salesforce, and BI tools (Tableau) to power reliable, real-time reporting and scoring models
• Salesforce development — Architect and implement custom objects, flows, validation rules, and field logic to support forecasting, pipeline inspection, and account intelligence programs
• Tool integrations — Own the technical implementation of new GTM tools — from API connections and webhook configurations to data mapping and QA
• Automation infrastructure — Build scalable, maintainable processes using tools like Clay, Zapier, Make, or custom scripts; reduce manual RevOps workload across the team
• Prompt engineering — Write and maintain AI prompts embedded in GTM systems (e.g., Gong Smart Trackers, AI field population in Salesforce) to extract structured insight from unstructured data