Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$110к-150к/год
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У роли понятная зона ответственности, измеримые результаты и практичное сочетание AI, данных и GTM-задач; формат стартапа добавляет некоторую неопределённость по нагрузке и стабильности.
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Понятная ответственность
Современный AI-стек
AI в недвижимости
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
GTM Automation Engineer (AI) (Python/TypeScript, LLMs, CRM): Building and operating AI-driven GTM workflows that convert marketplace activity, CRM data, enrichment, and conversations into prospecting automations, signals, and integrations with an accent on production reliability, data quality, and measurable revenue impact. Focus on shipping LLM applications, designing sourcing and enrichment pipelines, evaluating model outputs, and connecting Salesforce, HubSpot, Snowflake, Slack, and other revenue tools.
Location: Hybrid in Los Angeles, California; salary location in Playa Vista, California, United States
Salary: $110,000–$150,000 base annually, plus annual bonus and equity.
Company
hirify.global is a rapidly scaling commercial real estate marketplace using AI to digitize how brokers, investors, and owners find, evaluate, and close deals.
What you will do
Build and operate AI-driven workflows for account research, prospect prioritization, outreach drafting, signals, scoring, and Slack alerts, with human review for customer-facing actions.
Develop sourcing and enrichment pipelines and safely sync deduplicated data with Salesforce, HubSpot, and downstream sales tools.
Integrate LLMs and agent workflows across Salesforce, HubSpot, Outreach, Gong, Qualified, Slack, and Snowflake.
Measure meetings booked, pipeline, conversion, and rep time saved, partnering with Revenue Operations on baselines and attribution.
Work with SDRs, Account Executives, Marketing, and Revenue Operations to identify problems, define requirements, and ship improvements.
Own production reliability, monitoring, retries, LLM evaluation sets, governance, privacy, documentation, and build-versus-buy decisions.
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
3+ years of experience in GTM engineering, growth or revenue operations, software or data engineering, or a similar technical role supporting or closely partnering with a revenue team.
Experience delivering measurable results across Sales, Marketing, Revenue Operations, and Engineering.
Hands-on experience shipping LLM-based applications or automations to production users; internal tools count. A repository, portfolio, or short demo is encouraged.
Experience with Salesforce or HubSpot, Outreach, Clay, CRM data structures, and APIs.
Ability to build in Python or TypeScript with version control, testing, and careful deployment.
Experience with large language models, prompts, context, tools, evaluation, SQL, messy CRM data, deduplication, and account matching.
Understanding of GTM workflows including prospecting, lead routing, pipeline management, and SDR operations.
Ability to communicate technical trade-offs clearly and deliver projects within RevOps and GTM priorities.
Nice to have
Hands-on experience with Clay, Search API, Gong, or Qualified, and sourcing and structuring external data at scale.
Experience with Snowflake or dbt, or syncing warehouse data back into a CRM.
Experimentation or analytics experience and prior work supporting SDR or outbound sales teams.
Experience in commercial real estate, marketplaces, or B2B SaaS.
Experience using AI coding assistants such as Claude Code or Cursor.
Culture & Benefits
Hybrid work in Los Angeles with a collaborative team structure and team activities.
Discretionary PTO and flexible career ownership.
Medical, dental, and vision insurance; 401(k); FSA/HSA options; and Life & AD&D insurance.
Home-office reimbursement for remote employees.
Annual bonus, generous equity grant, and an opportunity to influence a rapidly scaling startup.
Work must follow data governance, security, privacy, outreach consent, and opt-out requirements including CAN-SPAM and TCPA.
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