Go-To-Market Engineer
Listed on 2026-06-03
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IT/Tech
Systems Engineer, Business Systems/ Tech Analyst
Overview
Re:
Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America’s next generation industrial company. At Re:
Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We leverage deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential.
Cadonix is the undisputed global leader in cloud-delivered ECAD tools for full end-to-end design, simulation, manufacture and management of wire harness designs and costing. Created from the ground up for the new age of collaborative online working, the Arcadia suite runs in the web browser and offers unprecedented flexibility in terms of use, licensing, systems integration and supply chain collaboration. Harness manufacturers, Tier 1 suppliers and OEMs are enjoying the benefits of Arcadia today.
Whowe are looking for
This role designs, builds, and maintains the technical systems that power Cadonix’s go-to-market operations across marketing, sales, sales development, and customer success. Sitting at the intersection of revenue operations and engineering, the GTM Engineer translates business goals into automated, AI-enabled workflows that accelerate pipeline, improve data quality, and scale customer engagement. You will integrate and coordinates the GTM tech stack. You will ship custom automations and AI-powered tools.
They work across teams to turn go-to-market problems into clean, scalable systems that run reliably from first touch through renewal.
- Build and maintain the systems behind lead routing, opportunity management, sales handoffs, forecasting, and post-sale workflows across the entire GTM funnel.
- Drive the strategic integration and automation of the go-to-market technology ecosystem, including Salesforce, Hub Spot, Marketo, Outreach, Clay, 6sense, Clari, and Gong. Build a cohesive system and evolve the stack as the business scales.
- Design and deploy AI-native automations that surface next-best actions, trigger timely follow-ups, enrich records, personalize outreach, and improve deal velocity.
- Partner with Sales, Marketing, Customer Success, Partnerships, Business Technology, and Data teams to translate business requirements into actionable technical solutions.
- Orchestrate multi-system enrichment, scoring, and segmentation workflows that improve data quality, enable deeper personalization, and power scalable engagement programs.
- Prototype, ship, and maintain LLM-powered tools and applications that solve real-world customer-facing and internal workflow problems.
- Build automations, reports, and dashboards that surface insights and enable data-driven decision-making for BDR, SDR, AE, Partner, Marketing, and Customer Success teams.
- Develop documentation, runbooks, and enablement materials to support widespread GTM user adoption and expedite resolving challenges.
- Balance long-term scalability with short-term speed, shipping quickly while building systems that hold up as Cadonix grows.
- Identify gaps and edge cases across the funnel and proactively design systems that close them.
- A bachelor’s degree in computer science, engineering, business, marketing, or a related field, or equivalent combination of education and experience.
- Minimum of 4+ years of experience in GTM systems, revenue operations, marketing operations, sales engineering/architecture, or a software/product engineering role with significant multi-functional GTM exposure at a fast paced company.
- Demonstrated experience building or owning systems that support sales pipelines, post-sale processes, and customer lifecycle operations.
- Hands-on experience with the modern GTM tech stack referenced above and SQL.
- Experience prototyping or shipping LLM-powered workflows using the OpenAI API or similar AI platforms strongly preferred.
We are a company who is going to make a difference in the…
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