Senior GTM AI Engineer
About the role
Senior GTM AI Engineer within the revenue organization who builds pipelines, internal tools, and agents to identify target accounts, automate outreach, and drive pipeline and revenue. Software engineering role focusing on AI-assisted GTM tooling and production systems to support AEs, SDRs, and GTM leadership.
Responsibilities
- Write code every day. Python services, SQL models, scheduled jobs, and small internal apps.
- Build agents that do the work: account research, lead qualification, outreach drafting, CRM hygiene, and usage monitoring.
- Turn product usage data in BigQuery and Looker into signals sellers act on: usage alerts, expansion triggers, and account health scores.
- Build the account targeting machine: sourcing, enrichment, dedupe, and ICP scoring, from raw data to a ranked list in a rep's queue.
- Integrate the systems the team already uses (our CRM, enrichment providers, outbound tools) so data moves between them without a human in the loop.
- Keep funnel data trustworthy: routing rules, field governance, and attribution.
- Prototype fast, measure what works, kill what doesn't, and work directly with Sales and Marketing leadership on what to build next.
- Document what you build so it keeps running without you.
Qualifications
- 4+ years as a software engineer, data engineer, or growth/GTM engineer, with time spent shipping systems that other people depend on.
- Strong Python and SQL. Experience owning production automations end to end: APIs, webhooks, scheduled jobs, retries, error handling, and monitoring.
- Experience building with LLMs beyond a single prompt: multi-step agents, tool use, retrieval, and evaluation.
- AI-assisted development with Claude Code or similar tools daily, with ability to review, test, and stand behind outputs.
Skills
About AssemblyAI
APIs for AI models
AssemblyAI is an applied AI company. We research, train, and deploy State-of-the-Art AI models for developers and product teams to integrate into their products/apps. Today, we offer AI models for audio transcription, content moderation, summarization, topic detection, and many other tasks. We are working towards building the "Stripe for AI models" - where developers and product teams will be able to easily access State-of-the-Art AI through a simple API. We're a fully remote team of AI researchers and ML engineers, and have raised over $65M in funding from top investors including Accel, Insight Partners, Y Combinator, John/Patrick Collison, Daniel Gross, and Nat Friedman.
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