GTM Engineer

As a GTM Engineer, you will build the systems and automations that accelerate Runware's growth across generative media and LLMs, with a particular focus on improving inbound and outbound go-to-market workflows.

You'll identify opportunities to acquire, activate, convert, and expand customers, then design, build, and test the workflows that turn those opportunities into measurable business outcomes.

Working closely with Sales, Marketing, Product, and Customer Success, you'll own workflows end-to-end — from initial discovery and prototyping through deployment, team adoption, monitoring, and iteration. You'll prioritise what to build based on commercial impact and measure the results.

• Build and improve automated GTM workflows. Design, deploy, and maintain systems that streamline inbound and outbound processes across generative media and LLMs. Identify opportunities to reduce manual work, improve efficiency, and support customer acquisition, activation, and expansion.
• Find and prioritise growth opportunities. Study customer journeys, audit our funnel and go-to-market systems, and identify where manual work or missing data slows growth. Test promising customer segments and buying signals, and prioritise what to build based on expected commercial impact.
• Connect account, product, and revenue data. Build integrations between our CRM, research tools, and internal systems. Automate enrichment, deduplication, and account matching, with validation, monitoring, and error handling to keep workflows reliable as volume grows.
• Build targeted acquisition workflows. Source and research accounts, identify relevant buyers, and turn buying signals into timely, targeted outreach. Work with Sales and Marketing on offers, messaging, and follow-up, while maintaining appropriate targeting, suppression, and deliverability controls.
• Build activation and conversion workflows. Track sign-ups, first API calls, stalled model evaluations, and sustained production usage to identify high-potential accounts and conversion bottlenecks. Define account scoring, routing, and Sales handoffs so customers receive the right support at the right time.
• Surface expansion and retention opportunities. Identify growing workloads, declining usage, and opportunities for customers to adopt additional models or modalities. Build workflows with Sales and Customer Success to act on these signals, testing their effectiveness before broader rollout.
• Build practical tools for commercial teams. Automate account research, call preparation, and routine CRM updates. Ship initial versions quickly, gather feedback, drive team adoption, and document and maintain the systems you build.
• Measure results and continuously improve. Define clear hypotheses, baselines, and success metrics for each experiment. Track qualified pipeline, conversion to paid usage, expansion, revenue, and operating costs. Use controlled comparisons where practical and retire workflows that don't deliver measurable results.

• Proven experience building GTM systems with measurable commercial impact. You've shipped systems that improved acquisition, conversion, expansion, retention, or sales productivity. You understand account targeting and qualification and can explain the commercial problem, what you built, and the results achieved.
• Strong hands-on technical execution. You can write scripts, query data, and work directly with APIs and webhooks. You know when to use an off-the-shelf automation tool and when to write custom code. You've deployed AI workflows or tools that others rely on and can explain how you evaluated their output quality and commercial impact.
• Independent judgement and experimental rigour. You can investigate ambiguous growth problems, test assumptions, and run structured experiments. You prioritise your own work and see projects through to measurable outcomes.
• A strong focus on reliability and ownership. You build validation, error handling, and monitoring into workflows from the start. You understand data permissions, suppression lists, and email deliverability, and take responsibility for maintaining the systems you deploy.
• Technical and commercial fluency. You can learn a technical product, test an API yourself, and communicate effectively with developers and commercial teams. You understand how customers evaluate model quality, latency, reliability, and cost.

• 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 business with usage-based pricing.
• Familiarity with generative media, LLM applications, inference APIs, and how engineering teams move models from evaluation into production.

We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life.

Our release cycles are fast and intense, but they’re followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready & stronger than ever for the next leap.

• Generous paid time off – vacation, sick days, public holidays
• Meaningful stock options – share in the upside you create
• Flexible hours – own your schedule outside core collaboration blocks
• Family leave – paid maternity, paternity, and caregiver time
• Company retreats – twice-yearly gatherings in inspiring locations