GTM Engineer, Blink

• Above all, you figure things out. You won't know every tool on day one. What matters is that when you hit something new, you go and learn it
• 2-4 years in marketing ops, sales ops, or revenue ops, ideally in a B2B SaaS environment
• Comfortable building automations and integrations. You've worked with APIs, webhooks, and workflow tools like n8n, Zapier, Tray, or similar, and you'd rather build something than do it manually twice
• Hands-on with HubSpot. You know workflows, custom properties, and how to make the CRM do what the business actually needs
• Actively experimenting with AI in GTM workflows. You don't just know the buzzwords. You've actually built things with LLMs, prompt engineering, or AI-assisted tooling and can show what you've shipped
• Comfortable with data. You can write SQL, work with Snowflake, and debug a broken pipeline without waiting for someone else to fix it
• You think in systems, not tasks. When you see a request, you ask whether this should be automated, what else it connects to, and how it should scale
• A clear communicator who can work with salespeople, marketers, and CS without making everything sound like an engineering ticket

Desirable

• 🤝 Reports to: Director of Revenue Operations
• As a GTM Engineer, you will play a pivotal role in shaping Blink's go-to-market operations, ensuring our systems are robust, scalable, and data-driven
• We're building a small, high-output revenue operations team, and this is a key hire
• You'll report to the Director of Revenue Operations and work across the full scope of the function: sales ops, marketing ops, and CS ops
• We're looking for a GTM engineer who can build the systems that turn signals into pipeline
• But this isn't a pure build-and-ship role
• You'll sit close enough to the business to understand why something needs building in the first place
• That means understanding how our sales, marketing, and CS teams work, where the friction is, and what's actually going to move the number
• Some weeks that's architecting a new automation
• Other weeks it's digging into a process that isn't working and figuring out the fix
• This role owns the automation, enrichment, and integration layer that connects our go-to-market tools and makes them smarter over time
• You won't just maintain what exists
• You'll spot where manual work is slowing us down, where data isn't flowing where it should, and where AI can do in seconds what currently takes hours
• Then you'll build the fix, measure the impact, and move on to the next one
• AI-powered automation and pipeline generation (70%):
• Build and maintain AI-powered workflows for prospect enrichment, research, and outbound personalization using tools like n8n and Claude
• Own the intent-to-pipeline lifecycle end to end: configure signals, define scoring and routing logic, get the right leads to the right people at the right time, and iterate based on what converts
• Own our partnership data pipeline, making sure overlap data flows into HubSpot cleanly and drives action
• Identify and MVP-test new pipeline sources. New tools, new signals, new channels, new automations. If it could generate pipeline, you'll try it
• Own data pipelines from Snowflake into our other tools, keeping customer and prospect data continuously enriched and actionable
• HubSpot and marketing/CS automation (30%):
• Own core HubSpot automation: lead routing, lifecycle workflows, deal stage triggers, property hygiene
• Provide technical support for marketing and CS automation, including complex nurture logic, custom integrations, and attribution
• Maintain data quality across the GTM stack: deduplication, field standardisation, and automated hygiene rules