Lead the design and deployment of AI-driven capabilities across GTM tech stack, embedding intelligence into revenue workflows for Sales, Marketing, and Customer Success at a B2B SaaS company.
153k – 187k
Remote8+ YOEGTM Engineering
About the role
GTM AI Strategy & Use Case Development
Identify and prioritize high-impact AI use cases across Marketing, Sales, and Customer Success in partnership with Revenue Operations
Align initiatives with business priorities to improve field productivity, conversion, and customer outcomes
AI Workflow Design & Deployment
Design and implement AI-driven workflows and agentic solutions across the GTM tech stack
Embed AI into core processes like pipeline inspection, lead prioritization, deal coaching, and customer engagement
Build practical, scalable solutions for field adoption
Automation & Intelligence Layer
Build and scale automation and intelligence layers on top of Salesforce and the broader GTM stack
Leverage LLMs and modern AI tools to evolve manual processes into intelligent, automated workflows
Systems & Architecture Partnership
Integrate AI into platform design in collaboration with Systems & Architecture teams
Ensure alignment with data models, governance standards, and long-term architecture
Data & Signal Utilization
Leverage GTM data to power AI-driven insights and workflows
Ensure high-quality inputs and outputs for confident decision-making
Continuous Innovation & Experimentation
Stay ahead of AI and GTM technology trends
Rapidly evaluate, test, and scale new tools and approaches
Requirements
8–12+ years of experience across RevOps, GTM systems, software engineering, or technical roles in B2B SaaS
Strong hands-on experience with AI/ML, LLMs, and automation frameworks
Deep experience with Salesforce and modern GTM tech stacks
Strong technical skills (Python, APIs, integrations, data workflows)
Proven ability to design and deploy AI-driven solutions in business environments
Strong understanding of GTM processes and revenue operations
Ability to translate business problems into scalable technical solutions
Experience working cross-functionally with business and technical stakeholders
Highly autonomous, self-directed, comfortable operating as a senior individual contributor
Curiosity and passion for applying AI to real-world business problems
GTM Engineer building and owning data enrichment pipelines, workflow automations, and AI-powered tools across Salesforce, Outreach, Clay, and ZoomInfo to support the company's transition to sales-led motion. Requires 4+ years in RevOps/GTM systems with hands-on iPaaS and CRM experience.
150k – 165k
On-site4+ YOEGTM Engineering
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