Go to Market Engineer Lead

Accountabilities

• Build and scale AI-driven solutions that enhance pre-sales efficiency, improve customer interactions, and accelerate revenue processes.
• Define and own the AI and automation roadmap for pre-sales operations, prioritizing initiatives based on business impact and team needs.
• Design, develop, and deploy AI agents, workflows, and automation systems that improve technical discovery, demos, proposals, and proof-of-concept processes.
• Analyze existing pre-sales workflows to identify opportunities for automation and operational improvements.
• Create integrations between AI tools, CRM platforms, proposal systems, and knowledge management solutions.
• Establish technical standards, best practices, and governance frameworks for AI adoption across go-to-market teams.
• Partner with Solutions Engineering, Sales, and Marketing teams to translate business objectives into scalable technical solutions.
• Prototype, test, and iterate quickly based on feedback from internal users and real-world business requirements.
• Monitor automation performance, reliability, and adoption while continuously improving systems.
• Mentor other engineers and act as a technical leader for AI-driven go-to-market initiatives.
• Present progress updates, performance insights, and roadmap recommendations to leadership teams.
• Support inbound lead management and other revenue-focused automation opportunities.

Requirements

• Broad experience across engineering, automation, and go-to-market functions, with the ability to independently lead AI initiatives from strategy through execution.
• Proven experience leading AI, automation, or workflow optimization initiatives from concept to implementation.
• Hands-on experience building AI agents and automation workflows using tools such as n8n, Zapier, Make, custom scripts, or LLM APIs.
• Strong understanding of pre-sales processes, including discovery, demos, RFPs, security reviews, and proof-of-concept execution.
• Solid technical knowledge of APIs, integrations, and software development concepts.
• Strong programming skills in languages such as Python and JavaScript for developing custom solutions.
• Experience working with CRM, proposal management, and knowledge management platforms such as Salesforce, HubSpot, or similar tools.
• Ability to translate complex business challenges into practical and scalable technical solutions.
• Experience mentoring engineers, influencing technical direction, or establishing engineering best practices.
• Excellent communication skills with the ability to collaborate effectively with technical teams, sales professionals, and executive stakeholders.
• Strong problem-solving mindset with the ability to navigate ambiguity and rapidly changing priorities.
• Freshly fluent English communication skills.

Benefits

• Competitive compensation package.
• Fully remote work environment with flexibility to work from anywhere.
• Home office allowance to support the creation of an effective remote workspace.
• Company-provided work equipment.
• Stock options opportunity.
• Health plan coverage available wherever you are located.
• Flexible paid time off and adaptable working arrangements.
• Opportunity to shape AI-driven processes within a rapidly evolving technology environment.