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Go-To-Market Engineer

CausalyLondon
On-site Full-time

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Experience Level

Entry Level

Qualifications

- Proficient in using HubSpot and other GTM tools- Strong analytical skills and a data-driven mindset- Experience with workflow automation and AI tools is a plus- Eagerness to learn and adapt in a fast-paced environment- Ability to work collaboratively with cross-functional teams

About the job

Established in 2018, Causaly is revolutionizing the realm of enterprise-scale scientific research through our state-of-the-art AI platform. We empower researchers with innovative tools to discover, visualize, and interpret biomedical knowledge, streamlining critical research workflows to accelerate solutions for pressing health challenges.

Partnering with some of the largest biopharma companies globally, we tackle diverse use cases, from Drug Discovery to Safety and Competitive Intelligence. Discover how we enhance knowledge acquisition and decision-making by exploring our insights on our blog: Blog - Causaly

Supported by prestigious investors like ICONIQ, Index Ventures, Pentech, and Marathon, we are on the lookout for a dynamic and technically curious Go-To-Market Engineer to help us design and develop a cutting-edge, AI-native go-to-market engine at Causaly.

Unlike traditional RevOps roles, we seek a visionary builder who thrives on experimentation and automation. You will craft solutions that seamlessly integrate tools, data, and workflows to directly support our revenue teams. While HubSpot will be your starting point, the role will expand to encompass enrichment, outbound automation, AI tools, and the broader GTM technology ecosystem.

This opportunity is perfect for those early in their careers who are eager to learn, comfortable with uncertainty, and driven by rapid improvement rather than perfection.

Key Responsibilities:

Develop and Manage GTM Systems

  • Take ownership of HubSpot as our primary GTM platform, managing pipelines, properties, workflows, routing, sequences, and reporting.

  • Enhance data quality and reliability through automation, validation, and enrichment processes.

  • Continuously streamline and refine GTM processes as the business scales.

Automate and Operate AI-driven Systems

  • Create and implement event-based and trigger-based workflows (e.g., funding events, organizational changes, intent signals).

  • Develop and iterate on enrichment and outbound workflows using tools such as Clay and similar platforms.

About Causaly

Causaly is at the forefront of transforming scientific research with its innovative AI platform, empowering researchers globally to tackle complex health challenges through enhanced data visualization and workflow automation.

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