Live opening · Posted 10 days ago
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About the role
Description supplied by the original job listing.
We are currently hiring for a GTM Engineer role with AlgoSec, a global cybersecurity product company trusted by 2200+ enterprise customers worldwide. This role sits within the Product Marketing team and focuses on building AI-driven GTM systems, growth automation workflows, funnel intelligence, and scalable marketing/sales operations infrastructure. The team is looking for someone who combines the following: Growth and GTM thinking, AI automation expertise, Product analytics mindset, Marketing operations understanding, Strong technical problem-solving
Responsibilities:
Build and optimize AI-driven GTM workflows across Salesforce, Marketo, Outreach, analytics, and enrichment platforms.
Create intelligent outbound/inbound cadences using automation and personalization.
Develop AI agents and LLM-based workflows for campaign execution, lead research, reporting, and SDR enablement.
Build systems around funnel analytics, lifecycle tracking, customer behavior analysis, and conversion optimization.
Enable hyper-personalization using customer intent, demographics, and behavioral signals.
Work closely with Product Marketing, RevOps, Sales, and Marketing teams to improve pipeline generation and GTM execution.
Create dashboards and insights around MQLs, SQLs, campaign performance, funnel health, and pipeline contribution.
Improve operational efficiency through automation and integrations.
Requirements:
3-6 years of experience in GTM Engineering / Growth Engineering / Marketing Operations / RevOps / Product Growth.
Strong experience in B2B SaaS or product-based companies.
Hands-on exposure to Salesforce, HubSpot, Marketo, Outreach, CRM workflows, or marketing automation tools.
Experience with AI automation, LLMs, agentic workflows, automated sequencing, and workflow orchestration.
Strong understanding of funnels, lifecycle marketing, segmentation, customer behavior, intent signals, and analytics.
Good knowledge of SQL, APIs, integrations, dashboards, reporting, and automation systems.
Product analytics and growth experimentation experience would be highly preferred.
Experience
3-7 yrs
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