Director, Go-To-Market (GTM) Engineering (AI)

TL;DR

Director, Go-To-Market (GTM) Engineering (AI): Owning hirify.global’s GTM intelligence infrastructure by architecting AI-powered insight systems and outputs that drive faster decisions and safer growth. Focus on building AI/LLM-enabled insight products, governing responsible AI deployment across GTM, and leading a high-performing GTM engineering team to deliver leadership-ready signals on pipeline health, retention risk, expansion opportunity, and market position.

Company

hirify.global builds identity and access security products, including a market-leading enterprise password manager and Unified Access Management.

What you will do

• Define and execute the vision for hirify.global’s GTM intelligence infrastructure (systems, models, and outputs) for leadership signals across pipeline health, retention risk, expansion opportunity, and market position.
• Translate data across CRM, marketing automation, product usage, and financial systems into curated insight products (dashboards, briefings, alerts, and AI-generated summaries) for senior GTM leadership.
• Own deployment and organizational change management for the GTM AI agent platform, including use-case roadmap prioritization and governance for safe, repeatable, measurable AI deployment.
• Act as a senior thought partner to Sales, Marketing, Customer Success, and Finance leaders, bridging business questions to intelligence products.
• Represent the intelligence function in executive forums (board preparation, QBRs, and strategic planning cycles).
• Build and lead a team of GTM Engineers, setting standards for analytical rigor, communication quality, and AI fluency.

Requirements

• 8+ years of experience in analytics, strategy, business intelligence, or GTM operations, with demonstrated ownership of insight products consumed by senior leadership.
• Hands-on experience implementing AI and LLM-based tools in a business context, including understanding where they succeed/fail and how to govern them responsibly.
• Proven ability to translate data into decisions by building solutions that change how leaders act (not only dashboards).
• Cross-functional credibility with VP- and C-suite stakeholders through clear communication and high-quality thinking.
• Experience building and developing teams, including analysts or technical contributors.
• Comfort operating in greenfield, ambiguous environments where the approach is still being defined.

Culture & Benefits

• Remote-first work environment with travel for in-person engagement as part of almost all roles (offsites, team meetings, and customer/industry events).
• Annual base salary (USA-based roles): $200,000–$300,000 USD, plus participation in benefits, generous paid time off, and an equity grant (and incentives where applicable).
• Benefits include health and dental coverage, 401k, maternity/parental leave top-ups, and retirement matching.
• RSU program for most employees and paid volunteer days.
• Peer-to-peer recognition through Bonusly.

Hiring process

• Application review may use AI/ML tools for initial screening; candidates can opt out if they prefer not to have their application assessed using AI/ML features.
• Background check may be required as permitted by local law.

Location: Remote (United States | Canada). Based remotely in North America; travel for in-person engagement may be required.

Salary: $200,000–$300,000 USD annually (USA-based roles) or $184,000–$276,000 CAD annually (Canada-based roles).