4 дня назад
Senior GTM Engineer (AI)
180 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior GTM Engineer (AI): Building production systems that help AssemblyAI find, win, and grow customers with an accent on Salesforce integrations, AI prospecting workflows, and product-usage signals. Focus on automating account targeting, lead scoring, routing, personalization, and seller workflows with Python, SQL, and production APIs.
Location: San Francisco, United States
Salary: $180,000–$220,000 per year for candidates in the U.S.
Company
builds Voice AI models for voice applications, processing large-scale audio and inference workloads for thousands of customers.
What you will do
- Own the GTM systems stack, including Salesforce, outbound sequencing tools, enrichment providers, and integrations.
- Write production code, scripts, internal tools, and services to automate outreach, integrations, and sales workflows.
- Build and operate AI workflows for prospecting, account research, lead scoring, and personalization.
- Convert BigQuery and Looker product-usage data into seller-facing alerts, expansion triggers, and account health scores.
- Automate territory building, account targeting, sourcing, enrichment, deduplication, and ICP scoring.
- Maintain reliable funnel data through routing rules, field governance, attribution, documentation, and measurement.
Requirements
- 4+ years of experience in GTM or sales engineering, growth engineering, RevOps with substantial engineering responsibility, or software engineering with GTM exposure.
- Strong SQL and Python skills, with experience owning production automations involving APIs, webhooks, scheduled jobs, and error handling.
- Strong software engineering fundamentals, including maintainable code, systems thinking, version control, code review, and debugging.
- Hands-on Salesforce experience with objects, flows, routing, and API-level integrations.
- Experience using LLMs in workflows, including prompt design, evaluation, and assessing when AI is appropriate.
- Experience with modern GTM tools such as enrichment platforms, sequencers, and warehouse-native tooling.
Nice to have
- Experience at a developer-facing or API-first company or selling to technical buyers.
- Familiarity with dbt, BigQuery, Looker, or equivalent warehouse and BI tools.
- Experience building agentic, multi-step AI workflows.
- Experience as the first GTM or growth engineering hire and building the function from scratch.
Culture & Benefits
- Small, lean team with substantial individual ownership and impact.
- Meritocratic environment with limited bureaucracy, fast iteration, and direct access to tools and information.
- Equal-opportunity workplace focused on inclusion and diverse backgrounds.
- Compensation is determined using experience, skills, qualifications, and internal equity, with additional benefits and rewards.
Hiring process
- Selected candidates receive guidance on ’s use of AI during the interview process.
- EU candidates should review the GDPR job applicant privacy notice.
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