Go-To-Market Engineer (AI)

TL;DR

Go-To-Market Engineer (AI): Building and deploying AI-driven prototypes and automation workflows for sales and marketing processes with an accent on integrating AI APIs and GTM business systems like Salesforce. Focus on identifying inefficiencies, developing scalable technical solutions, and administering key GTM systems to improve pipeline and conversion.

Location: Stage 3 of the hiring process requires an in-person values interview.

Company

hirify.global is a digital banking platform that provides self-made business owners with tools and knowledge to manage their finances effectively.

What you will do

• Partner with sales and marketing to identify and scope opportunities for AI-driven solutions.
• Build, test, and deploy AI prototypes and proofs-of-concept to validate use cases.
• Integrate AI APIs, MCP Servers, and other automation tools to build agents and workflows.
• Proactively identify sales process inefficiencies and develop technical solutions for measurable efficiency gains.
• Administer key Go-to-Market business systems, including Salesforce, and build automation (flows), validations, and applications within Salesforce.
• Create technical documentation and training materials to increase technology adoption.

Requirements

• 3-5 years of experience in Revenue Operations, GTM Systems, Solutions Engineering, or a technical automation role, ideally in a high-growth startup or SaaS environment.
• Strong hands-on experience with Salesforce administration and automation (flows, validations, reporting, integrations).
• Ability to build prototypes or production workflows using AI APIs and automation tools, translating business problems into scalable technical solutions.
• Understanding of modern B2B Go-to-Market motions and key revenue metrics.
• Highly analytical and structured, able to gather requirements, write technical specifications, and lead implementations.
• Ability to attend a required in-person interview for Stage 3 of the hiring process.

Nice to have

• Experience working directly with AI agents, LLM-based applications, or prompt engineering in a production environment.
• Familiarity with data infrastructure and analytics tools (e.g., dbt, BigQuery, Snowflake, Metabase, Looker).
• Experience with integration platforms (e.g., Zapier, Workato) or light scripting in Python or JavaScript.
• Background in fintech or SMB-focused SaaS environments.

Culture & Benefits

• High autonomy and freedom to tackle significant challenges.
• Emphasis on ownership, continuous improvement, and growth.
• Culture that values direct, clear, and respectful feedback.
• Commitment to a mission of helping small businesses thrive.
• Support for diversity, inclusion, and equal opportunity.
• Accommodations provided at any stage of the hiring process if required.

Hiring process

• Stage 1: 45-minute Google Meet video call with the RevOps Director.
• Stage 2: 60-minute Google Meets video call with the VP of Strategy & Operations.
• Stage 3: 45-minute in-person values interview with a member of the Leadership Team.
• Stage 4: Take-home case study, followed by a 60-minute presentation (virtual or in-person).