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Runware

Generative AI platform with fast inference

GTM Engineer

Sales OperationsConfirmed live in the last 24 hours
Full-timeRemote in UK

About the Job

Requirements

  • Proven experience building go-to-market systems with measurable commercial impact, including shipped systems that improved acquisition, conversion, expansion, retention, or sales productivity; understanding of account targeting and qualification and ability to explain the commercial problem, solution, and results.
  • Ability to write scripts, query data, and work directly with application programming interfaces and webhooks; judgment to choose between off-the-shelf automation tools and custom code; experience deploying artificial intelligence 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, prioritize work independently, and deliver measurable outcomes.
  • Ability to build validation, error handling, and monitoring into workflows; understanding of data permissions, suppression lists, and email deliverability; ownership of maintaining deployed systems.
  • Ability to learn a technical product, test an application programming interface, and communicate with developers and commercial teams; understanding of how customers evaluate model quality, latency, reliability, and cost.

Responsibilities

  • Build, deploy, and maintain automated inbound and outbound go-to-market workflows that reduce manual work, improve efficiency, and support customer acquisition, activation, and expansion.
  • Study customer journeys and audit the funnel and go-to-market systems to identify manual work, missing data, customer segments, and buying signals that affect growth; prioritize development based on expected commercial impact.
  • Build integrations between customer relationship management systems, research tools, and internal systems; automate data enrichment, deduplication, and account matching, including validation, monitoring, and error handling.
  • Source and research accounts, identify relevant buyers, and turn buying signals into targeted outreach; collaborate with Sales and Marketing on offers, messaging, and follow-up, while maintaining targeting, suppression, and deliverability controls.
  • Track sign-ups, first application programming interface calls, stalled model evaluations, and sustained production usage to identify promising accounts and conversion bottlenecks; define account scoring, routing, and Sales handoffs.
  • Identify growing workloads, declining usage, and opportunities for customers to adopt additional models or modalities; build and test workflows with Sales and Customer Success to act on these signals.
  • Automate account research, call preparation, and routine customer relationship management updates; ship initial versions, gather feedback, drive team adoption, and document and maintain the systems.
  • Define hypotheses, baselines, and success metrics for experiments; track qualified pipeline, conversion to paid usage, expansion, revenue, and operating costs; use controlled comparisons where practical and retire workflows that do not deliver measurable results.

Desired Qualifications

  • Experience with enrichment, automation, and customer relationship management platforms such as Clay, n8n, Zapier, Make, HubSpot, or Salesforce.
  • Experience growing an application programming interface product, developer tool, artificial intelligence service, or similar business with usage-based pricing.
  • Familiarity with generative media, large language model applications, inference application programming interfaces, and how engineering teams move models from evaluation into production.

About the Company

Runware

Generative AI platform with fast inference

Runware.ai provides a fast, cost-effective platform to deploy AI-generated content through an API that hides infrastructure complexity. It runs AI workloads on custom hardware in renewable-energy data centers using the Sonic Inference Engine, with real-time WebSocket connections for low-latency, scalable performance. It differentiates itself with a proprietary engine, dedicated hardware, built-in redundancy, autoscaling, GPU allocation, and access to over 188,000 models, enabling seamless integration without ML expertise. Its goal is to democratize access to generative AI for businesses by making it easy to add AI capabilities without heavy hardware costs or specialized know-how.

Company size
51-200
Company stage
Series A
Total funding
$66M
Headquarters
London, United Kingdom
Founded
2023

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