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Digi International Companies logo

Principal GTM Engineer

Digi International Companies
Posted 5 hours ago
🇺🇸United States🏠Remote📁Engineering & Development
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What You Will Do Design, build, and maintain the end-to-end outbound pipeline infrastructure spanning Clay enrichment workflows, Outreach sequencing, and HubSpot CRM synchronization, with existing Particle platform signals as the primary input data source. Integrate and operationalize the usage signal data already instrumented in the Particle platform, pulling it into Clay for enrichment and scoring so the sales team has a live, prioritized PQL queue without manual list pulls. Build and maintain Claude API integrations that generate persona-aware, contextually relevant email copy for Fleet/Asset Optimization and Connected Product ICP segments, enabling personalization at a volume that manual processes cannot support. Own the integrity and hygiene of GTM data in HubSpot as the CRM of record, building automated quality controls and eliminating manual data entry across RevOps workflows. Partner with Sales, Customer Success, and Revenue Operations leadership to identify workflow bottlenecks, prioritize infrastructure investments, and translate GTM strategy into systems that ship. Build and maintain internal runbooks and GTM stack documentation so the broader commercial team can understand, monitor, and leverage the infrastructure without depending on one person. Evaluate and recommend new tools, APIs, and automation approaches as the GTM stack evolves, with a bias toward building on what exists rather than adding tool sprawl. Who You Are and What You Bring 3 or more years of experience building GTM automation or revenue engineering systems in a B2B SaaS or technology company. Fluency with the modern GTM stack including Clay, Outreach or Salesloft, HubSpot, and enrichment APIs such as Clearbit or Apollo. Strong Python and JavaScript skills with demonstrated experience building API integrations, scheduled workflows, and data transformation pipelines. Experience working with LLM APIs, particularly Anthropic Claude or OpenAI, to build prompt-driven automation or copy generation systems. Familiarity with product analytics platforms such as PostHog, Amplitude, or Mixpanel, and the ability to connect behavioral event data to downstream sales and marketing workflows. Comfort operating in a fast-moving environment where the infrastructure you build will be used in production from day one with limited handholding. Strong communication skills and the ability to translate technical system design into clear narratives for non-technical GTM stakeholders. Experience with IoT, hardware plus subscription, or developer-oriented products is a plus but not required. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

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