Applied AI Architect (AI)

TL;DR

Applied AI Architect (AI): Building AI agents and decision-support systems that transform how hirify.global executes across the revenue lifecycle, with an accent on system architecture, retrieval logic, and output calibration tied to real GTM workflows. Focus on designing and iterating agent intelligence based on adoption, output quality, field feedback, and measurable revenue/customer impact.

Company

hirify.global is a customer engagement platform that uses composable intelligence and AI agents to deliver smarter, personalized experiences across customer touchpoints.

What you will do

• Conduct stakeholder research across the GTM motion (pre-sales to post-sales) to map intelligence gaps, workflow friction, and handoff failures, then translate findings into a prioritized problem backlog with impact and feasibility scoring.
• Build and refine AI agents for a defined area of the revenue lifecycle, contributing to system architecture, retrieval logic, and output calibration; ship working solutions against real workflows.
• Stay embedded in regional operating rhythms (pipeline reviews, deal cycles, QBRs, renewal planning, account strategy) to ensure field proximity and continuous improvement.
• Own reliability and quality of the systems you manage by monitoring adoption, diagnosing output failures, and continuously tuning/iterating.
• Validate field signals and structure deal/customer patterns so intelligence flows back into better agent outputs.
• Partner cross-functionally (Growth Engineering, PMM, Solutions Consulting, Pricing, Customer Success, leadership) to ensure systems are adopted by the people they serve.

Requirements

• 6+ years of professional experience in a GTM role with direct involvement in the commercial motion (e.g., Solutions Consulting, Solutions Architecture, Account Executive, Sales Leader, GTM strategy) in a B2B SaaS context.
• Hands-on experience building AI-powered tools/agents/automations/workflows that changed real work processes, with concrete examples.
• Technical fluency to engage credibly on integration architecture and evaluate agent outputs at the system level; ability to contribute to prompt design, retrieval logic, and data workflows (e.g., Python, APIs, integrations).
• Strong understanding of enterprise sales workflows, deal stages, and daily operating reality of GTM personas (AEs, SCs, BDRs, sales leadership, CS, business value teams).
• Strong field credibility with experience in executive-level customer engagement.
• Comfort operating as a senior individual contributor with high autonomy across multiple workstreams.

Nice to have

• Product Management background or experience, including shipping solutions people actually use.
• Experience in Solutions Consulting/Engineering or field architecture roles within enterprise SaaS.
• Proficiency with AI development tools and platforms (e.g., Claude, Claude Code, Cursor, custom agent frameworks) and workflow automation tools.
• Familiarity with enterprise SaaS stacks (e.g., Salesforce, Gong, Slack, Snowflake).
• Analytical capability to evaluate deal data, diagnose output failures, and build data-driven recommendation systems.

Culture & Benefits

• Hybrid ways of working (role marked #LI-Hybrid).
• Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
• Retirement and Employee Stock Purchase Plans; equity grants (RSUs) as part of Total Rewards.
• Professional development supported by learning platforms and a yearly learning stipend.
• Retirement/stock plans, family services (including equal paid parental leave), and community involvement (Volunteer Week and donation matching).
• Collaborative, transparent culture recognized as a Great Place to Work®.

Hiring process

• AI-assisted screening and administrative support may be used during recruitment; hiring teams remain responsible for decisions.
• Interviews and evaluation focus on field judgment, technical ability, and ability to ship AI systems adopted in real GTM workflows.

Location: New York City

Salary: $123,000–$184,000/year (OTE: $145,000–$217,000/year)