Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли четкая зона ответственности, практические задачи по AI-автоматизации и измеримые цели на первые 30/60/90 дней; основной нюанс - широкий охват от агентов до коммерческих систем.
?Широкая зона ответственности
Понятная ответственность
Понятные результаты
Современный стек
Фокус на AI
?Ограничения по локации
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
GTM Engineer (AI): Building agentic workflows, internal agents, and integrated marketing and sales systems for a US commercial organization with an accent on LLM tooling, Salesforce architecture, automation, and trustworthy revenue reporting. Focus on evaluating production agents, designing lifecycle and routing logic, integrating commercial systems, and translating sales requirements into scalable technical solutions.
Location: Remote within the US with regular travel to the Dallas–Fort Worth hub; US work authorization required.
Company
hirify.global and ParkHub provide B2B parking solutions for destinations and B2C services that help drivers find, book, and pay for parking.
What you will do
Identify commercial workflows where automation or agents can remove repetitive work, then design and build internal agentic workflows end to end.
Define autonomous versus human-review boundaries and evaluate agents for accuracy, adoption, and time saved.
Own the architecture of the CRM, marketing automation, call intelligence, enrichment, and engagement stack, including integrations and lifecycle and routing logic.
Partner with the Salesforce administrator while owning architecture, integrations, and build-versus-buy decisions.
Translate commercial requirements for the data team and build enrichment, scoring, signal detection, and reporting on top of its data layer.
Work directly with BDRs, AEs, Account Managers, Marketing, and Revenue Enablement to understand workflows and support adoption through training.
Requirements
Based in the US, able to travel regularly to the Dallas–Fort Worth hub, and authorized to work in the US.
3+ years in GTM engineering, revenue operations engineering, marketing operations, or sales systems, with experience building rather than only configuring.
Programming experience with Python or TypeScript and APIs, plus practical low-code experience with Clay, n8n, Zapier, or Workato.
Hands-on experience with LLMs and agent tooling, including prompting, retrieval, tool use, and evaluation.
Deep Salesforce knowledge beyond administration, including data modeling, automation, integration patterns, and marketing automation platform architecture.
Strong SQL and data-modeling fundamentals and the ability to partner credibly with a data team.
Ability to translate between commercial and technical problems, make pragmatic trade-offs, and reject solutions that add unnecessary complexity.
Clear technical writing and documentation skills.
Growth mindset, collaboration, daily execution, and coachability are expected.
Nice to have
Internal agents or automation adopted by a sales team.
Experience consolidating systems after a merger.
Exposure to events, hospitality, commercial real estate, municipal government, parking, or venue technology.
Culture & Benefits
Remote US work with regular travel to the Dallas–Fort Worth hub and hands-on observation of commercial workflows.
Unlimited PTO, medical and dental coverage, healthcare plan options including HSA, an Employee Assistance Program, and mental health support subscriptions.
Parental leave, fertility support, pet insurance, and discount plans.
401(k) retirement and savings plan plus a local employee travel stipend.
Dallas office barista service, catered breakfast and lunch Tuesday–Thursday, weekly social events, and additional celebrations.
Hiring process
First 30 days: observe every commercial role, map the stack and its failures, meet the data team, and agree on a prioritized automation list with the VP.
By day 60: launch the first agentic workflow and fix or schedule the highest-cost system and integration issues.
By day 90: operate production agents with evaluation and monitoring, demonstrate savings, establish trusted reporting, and define the next sequence of work.
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