Deployment Strategist (AI)

TL;DR

Deployment Strategist (AI): Driving AI transformation at Global 2000 enterprises, acting as the Field CPO for hirify.global's strategic customers with an accent on translating business needs into deployable product capabilities and ensuring customer outcomes. Focus on navigating ambiguity in agentic AI workflows, managing stakeholders across business and tech, and feeding validated learnings to the product roadmap.

Location: New York City or Berlin (Hybrid) Travel: ~25%

Company

hirify.global is a fast-growing startup automating customer service with AI-driven conversations.

What you will do

• Land big clients (Global 2000) and ensure their AI transformation succeeds.
• Manage stakeholders across business and tech, owning deployment from value thesis through production to expansion.
• Translate customer needs into reusable product capabilities, not one-off customizations.
• Build prototypes, make product changes, and create business plans hands-on.
• Represent customers to hirify.global Product and vice versa, bridging both worlds.
• Influence Product, Engineering, Sales, and Customer Success to drive outcomes.

Requirements

• 7-12 years in enterprise software (solution architecture, product, or consulting) with customer-facing delivery.
• Ability to translate customer outcomes into product reality and vice versa.
• Business + tech stakeholder leadership experience with C-suite presentations.
• Product thinking: experience building client-specific roadmaps aligned with platform strategy.
• Architectural credibility: experience scoping off-platform features and assessing feasibility.
• Adaptability: comfortable being uncomfortable, willing to learn, operates in ambiguity.

Nice to have

• Experience in travel, fintech, insurance, retail, healthcare, telecom, or enterprise software.
• Worked at companies that transformed their industry (Booking.com, Decathlon, N26, Deel, Stripe, Uber, Airbnb).
• Background as Palantir Deployment Strategist, AWS/GCP Solutions Architect, or product roles at hypergrowth tech.
• Tech stack: architectural understanding of Python, TypeScript, Terraform, K8s, Azure/AWS.
• AI/ML: LLM pipelines, agentic AI deployment, prompt engineering.

Culture & Benefits

• Join a diverse team with flat hierarchies and a collaborative company culture.
• Opportunity to build and scale your career in a dynamic startup in Conversational AI.
• Flexible working hours, 28 vacation days, and workation opportunities.
• Access to a training and development budget for continuous professional growth.
• Regular team events, game nights, and other social activities.
• Work from home and/or beautiful offices in Berlin or Munich with adjustable desks and social areas.

Hiring process

• TA Screen (45 min) → Hiring Manager Call (45 min) → Case Study (take-home) → Case Interview (60 min) → Bar Raiser Interview (60 min.)