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Senior GTM Engineer
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AssemblyAI·San Francisco·28 авг.

Senior GTM Engineer

🏢 ОфисSeniorПолная занятость
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Наша компания

Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry.

О роли

We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $500K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers inc

Чем предстоит заниматься

We're hiring our first Senior GTM Engineer to build the systems that power how AssemblyAI finds, wins, and grows customers. This is an engineering role embedded in the revenue organization: you'll own the GTM stack end-to-end — CRM, enrichment, outbound automation, routing, scoring, and the AI agents that increasingly do the work a traditional sales ops team used to do by hand
You'll sit at the intersection of Sales, Marketing, and Data. One week you might ship an AI pipeline that identifies high-growth voice AI companies before they ever talk to us; the next you might rebuild lead routing in Salesforce, wire product usage signals into seller workflows, or automate an entire outbound motion from account selection to personalized first touch. Your customers are our AEs, SDRs, and GTM leaders — and your job is to make a small team perform like one three times its size
Own the GTM systems stack: Salesforce, outbound and sequencing tools, enrichment providers, and the integrations between them
Write code every day. Scripts, internal tools, and small services are most of the job, and you'll use tools like Claude Code to build fast — automating outreach messages, wiring up integrations, or standing up an internal app for the sales team in a day or two
Build AI workflows for prospecting, account research, lead scoring, and personalization that actually run in production
Turn product usage data (BigQuery, Looker) into signals sellers can act on: usage alerts, expansion triggers, and account health scores
Automate territory building and account targeting: sourcing, enrichment, dedupe, and ICP scoring
Keep funnel data clean and trustworthy: routing rules, field governance, and attribution
Prototype quickly, measure what works, and cut what doesn't; work directly with Sales and Marketing leadership on what to build next
Document what you build so it keeps running without you babysitting it

Наши требования

Experience at a developer-facing or API-first company, or selling to technical buyers
Familiarity with dbt, BigQuery/Looker (or an equivalent warehouse + BI stack)
Experience building agentic workflows (multi-step AI systems, not just single prompts)
You've been the first GTM/growth engineering hire somewhere and built the function from scratch
4+ years in GTM/sales engineering, growth engineering, RevOps with heavy build responsibility, or software engineering with GTM exposure
Strong SQL and Python; comfortable owning production automations (APIs, webhooks, scheduled jobs, error handling) — not just no-code glue
Solid software engineering fundamentals: you write clean, maintainable code, think in systems, and are at home with version control, code review, and debugging — you don't need an engineering team to ship
Fluency with AI-assisted development tools like Claude Code as a core part of how you work: you use them to move at a pace that makes traditional ops teams look slow — automating messaging workflows, generating integrations, building tools on demand — while having the engineering judgment to review, test, and trust what ships
Hands-on Salesforce depth: objects, flows, routing, and API-level integration work
Real experience putting LLMs into workflows — prompt design, evaluation, and knowing when AI is the wrong tool
Experience with the modern GTM stack (enrichment platforms like Clay or similar, sequencers, warehouse-native tooling)
A builder's mindset with an operator's judgment: you scope for business impact, ship iteratively, and measure results in pipeline and revenue
Low ego, high ownership, and comfort being the single-threaded owner of an entire domain

Мы предлагаем

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide
There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range
The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process
Salary range: $180,000 - $220,000

Дополнительно

If you’re selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process
Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM Gateway
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A
AssemblyAI
San Francisco

ГрейдSenior
ЗанятостьПолная занятость
РегионНе Россия
ФорматОфис
ИсточникСкрыто
Опубликовано28 авг.
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