Productboard is the only comprehensive agentic product management system built for product makers. Understand customers, prioritize features, and ship the right thing. Backed by Bessemer, Index and Kleiner Perkins.
About the role
Productboard is seeking an GTM Engineer. This is a unique role where most of the requirements are flexible but the fundamental core skillset required is a builder’s mindset with the ability to learn, deploy, and organize new technologies and platforms. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You have vibe coded something interesting. Show us what you’ve made!
- 3+ years of experience within a GTM Team
- You have built GTM automations and agents that have quantifiably driven pipeline, revenue, data quality, or operational efficiency
- Understanding of B2B marketing and go-to-market motions. Familiarity with CRM and marketing automation platform concepts (Salesforce, Marketo, Hubspot, etc.)
- Experience with AI-enabled technologies in the GTM stack such as Clay, Piper/Qualified, Gong, Salesforce Agentforce, Zapier, Workato, n8n, etc
- Experience/fluency in Python, SQL, REST, AWS
More about this role
Productboard is seeking an GTM Engineer. This is a unique role where most of the requirements are flexible but the fundamental core skillset required is a builder’s mindset with the ability to learn, deploy, and organize new technologies and platforms.
The ideal candidate is not necessarily someone with many years of experience, because much of the tech stack you will own may not have existed a year ago. If you're on a GTM team currently and have been building out GTM tools that help your day-to-day, rethinking data and the systems that provide it, and most importantly want to focus on this utilizing AI tools, then we think this role will allow you to really dig into this.
The gap between professionals who are building with AI daily and those who are still watching is widening fast. At Productboard, you won't just use AI tools. You will shape the architecture that makes AI agents effective, define the workflows that make them reliable, and build the evaluation systems that make them trustworthy. You will work in an environment where AI first is not a future aspiration. It is the current standard.
The skills you build here , agent native design, multi-model orchestration,...
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