GTM Engineer

About us At Sierra, we’re building a platform to enable every company in the world to build better, more human customer experiences with AI. We partner with industry leaders such as SoftBank, Uber, Rivian, CLEAR, and Sutter Health. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Implement Go-to-Market software for our marketing, sales, and agent development teams Design and build the automated workflows, integrations, and AI-powered systems that turn signal into pipeline, across enrichmen [... source excerpt omitted ...] sing Postgres, Fivetran pipelines, and reverse ETL. Keep data jobs healthy and in sync with the tools that consume them; track downstream impact when schemas and apps change Ship production code with PR review, observability, and proper error handling and debug production incidents (Salesforce platform failures, enrichment failures, LLM timeouts) What you'll bring 3+ years in GTM Engineering, Revenue Operations, Sales Engineering, Growth Engineering, or a closely adjacent technical role at a high-growth B2B SaaS company Python and TypeScript skills: You write clean code, understand async patterns, can design a database schema, and can debug a production incident from logs alone [... source excerpt omitted ...] erience inside a modern GTM stack (Salesforce, HubSpot, Outreach, Clay, enrichment providers): You understand how leads flow through a CRM and why data quality degrades over time Production experience with LLMs: Prompt design, eval loops, error handling, and the difference between a demo and a system you can trust at scale Strong working knowledge of SQL, schemas, and data flow across GTM and warehouse systems Systems thinking: You’ve built data pipelines and think about what happens at 10x volume, when an API goes down, or when the same account hits your queue five times in parallel Owner's mindset: You take accountability from code to deployment to adoption, define scope with