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Birdeye in Dallas, TX, is seeking a GTM Engineer to develop and own the technical systems that drive our go-to-market strategies. You'll work in a fast-paced RevOps organization, creating AI-powered workflows and managing data pipelines for reporting and operational efficiency.
The ideal candidate has 3+ years in technical roles, proficiency in Salesforce, and experience with automation tools. A focus on innovation and working collaboratively will be key in this rapidly growing company.
Sales Full-time
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.
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.
Required
Preferred
You'll operate in a fast‑moving RevOps org that ships iteratively and flags data quality issues loudly. We don't do big‑bang projects — we identify the highest‑leverage bottleneck, build a working solution quickly, and improve from there. You'll be expected to own problems end‑to‑end: from scoping and build to QA, documentation, and training handoff.