Skills needed: None stated explicitly; however, experience as a GTM Engineer with expertise in Artificial Intelligence is implied.
Years of experience: No specific years required mentioned; the job posting implies that candidates should have relevant work history which can be inferred from "Experience" section under Requirements on LinkedIn profile (if provided).
Education: None stated explicitly, but a Bachelor's degree in Computer Science or related field is implied as it mentions seeking applicants with experience.
Certifications: No specific certifications required mentioned; however, knowledge of AI and GTM could be considered implicit requirements based on the job title "GTM Engineer, AI."
Must-haves: None stated explicitly in terms of skills or qualifications beyond having relevant work history as a GTM Engineer with expertise in Artificial Intelligence.
Responsibilities
Experience 5+ years of experience in business systems, GTM engineering, data/analytics engineering, or a similar role in high-growth B2B SaaS.
AI & systems mindset: Strong knowledge of how AI and automation can be applied in business and GTM systems (e.g., workflow automation, summarization, routing, scoring).
Technical skill set: Prior software engineering experience, proficiency with Salesforce (data model, Flows, integrations) and experience integrating other GTM systems (e.g., Gong, Heap and other marketing automation tools), Strong SQL skills; experience with modern data stack tools like Snowflake and dbt is a plus.
Collaboration: Excellent communication and interpersonal skills to work effectively with internal stakeholders and cross-functional teams.
Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact
What you can expect as a Vanta’n:
Benefits
Cash Range $168K – $198K • Offers Equity • This role is also eligible for medical benefits, 401(k) plan, and other company perk programs.
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