crmaiapillmautomationwebhookssales operationsdata enrichmentgenerative media
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная ответственность за процессы от идеи до результата и измеримые цели, а работа связана с растущим AI-продуктом; при этом интенсивные релизные циклы могут временами повышать нагрузку.
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Интенсивные релизыПонятная зона ответственностиПерспективная сфераСовременный инструментарий
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Текст:
Hirify AI/Оригинал
TL;DR
GTM Engineer (AI): Building automated inbound and outbound go-to-market workflows for generative media and LLM products with an accent on customer acquisition, activation, conversion, expansion, and retention. Focus on integrating CRM, research, and internal data, designing reliable API-driven workflows, and measuring qualified pipeline, paid usage, revenue, and operating costs.
Location: United Kingdom; remote
Company
hirify.global operates in generative media and LLMs, building API-driven products and workflows that support customer growth and usage-based adoption.
What you will do
Build, deploy, maintain, and improve automated inbound and outbound GTM workflows for customer acquisition, activation, conversion, expansion, and retention.
Audit customer journeys, funnels, and GTM systems to identify growth opportunities, missing data, manual work, and promising customer segments or buying signals.
Integrate CRM, research tools, and internal systems, automating enrichment, deduplication, account matching, validation, monitoring, and error handling.
Identify expansion and retention signals such as growing workloads, declining usage, and adoption opportunities for additional models or modalities.
Measure experiments using qualified pipeline, conversion to paid usage, expansion, revenue, and operating costs; drive adoption, document systems, and retire ineffective workflows.
Requirements
Proven experience building GTM systems with measurable impact on acquisition, conversion, expansion, retention, or sales productivity, including the ability to explain the commercial problem, solution, and results.
Hands-on ability to write scripts, query data, and work directly with APIs and webhooks, choosing between automation platforms and custom code.
Experience deploying AI workflows or tools used by others and evaluating their output quality and commercial impact.
Ability to investigate ambiguous growth problems, test assumptions, run structured experiments, prioritise independently, and deliver measurable outcomes.
Experience building validation, error handling, and monitoring into workflows, with understanding of data permissions, suppression lists, and email deliverability.
Ability to learn a technical product, test an API independently, and communicate effectively with developers and commercial teams.
Understanding of how customers evaluate model quality, latency, reliability, and cost.
Nice to have
Experience with enrichment, automation, and CRM platforms such as Clay, n8n, Zapier, Make, HubSpot, or Salesforce.
Experience growing an API product, developer tool, AI service, or similar usage-based business.
Familiarity with generative media, LLM applications, inference APIs, and moving models from evaluation into production.
Culture & Benefits
Remote-first work with twice-yearly in-person gatherings.
Core collaboration hours with flexibility to manage the remaining schedule independently.
Fast, intense release cycles followed by dedicated downtime.
Generous paid time off, including vacation, sick days, and public holidays.
Meaningful stock options, paid family leave, and twice-yearly company retreats.
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