Senior GTM AI Engineer
AssemblyAI
- San Francisco, United States
- Senior Level
- 4+ years
- Posted
Skills
Required
- CRM
- API
- Claude
- Code
- version control
- code review
- debugging
- RevOps
- retrieval
- BigQuery
Preferred
- SQL
- Python
- APIs
- webhooks
- retries
- error handling
- monitoring
Join our team as a Senior GTM AI Engineer, where you'll be responsible for building the pipelines, internal tools, and agents that drive our sales strategy. You'll work closely with our AEs, SDRs, and GTM leaders to optimize our sales processes and improve pipeline and revenue. This is a hands-on software engineering role that requires strong Python and SQL skills, as well as a curiosity about how a sales organization works.
Responsibilities
- Construire des pipelines, des outils internes et des agents qui déterminent les entreprises à cibler et comment les atteindre.
- Écrire du code quotidiennement, y compris des services Python, des modèles SQL, des travaux planifiés et de petites applications internes.
- Construire des agents qui effectuent le travail : recherche de comptes, qualification de leads, rédaction de contacts, hygiène CRM.
- Strong Python and SQL. You have owned production automations end to end: APIs, webhooks, scheduled jobs, retries, error handling, and monitoring
- A builder's mindset with an operator's judgment: you scope for business impact, ship iteratively, and measure results in pipeline and revenue
Requirements
- AI-assisted development is how you work. You use Claude Code or similar tools daily, and you have the engineering judgment to review, test, and stand behind what they produce
- Solid fundamentals: clean code, version control, code review, debugging, and a habit of thinking in systems. You do not need an engineering team to ship
- Low ego, high ownership, and comfort being the single-threaded owner of an entire domain
- Curiosity about how a sales org works. You don't need a RevOps background, but you need to care about how deals get found and closed, and be willing to learn our CRM and the tools around it quickly
- Experience building with LLMs beyond a single prompt: multi-step agents, tool use, retrieval, and evaluation. You can tell whether an agent's output is good, and you know when a plain script is the better tool
- 4+ years as a software engineer, data engineer, or growth/GTM engineer, with time spent shipping systems that other people depend on
- Hands-on Salesforce or other CRM work at the object and API level, or experience with enrichment and outbound tools like Clay
- Dbt, BigQuery, and Looker, or an equivalent warehouse and BI stack
- Time at a developer-facing or API-first company, or selling to technical buyers
- You've been the first engineer in a sales or growth org and built the function from scratch
Pay
USD 160,000 - 220,000
